Solution Architect

🏢 Summary: Senior/Lead Software Engineer role focused on designing scalable, secure enterprise solutions across cloud-native and legacy systems. The position involves leading architecture, system integration, event-driven platforms, and Kubernetes-based microservices using Java, Azure, Kafka, Oracle, and WebLogic technologies. Candidates will provide technical leadership, mentor teams, and drive enterprise-grade software delivery aligned with business strategy. 🗂️ Requirements: 7+ years commercial experience with Java, Strong Oracle database expertise, Experience with cloud-native and legacy architectures, Hands-on experience with Microsoft Azure services, Experience with Kafka and event-driven architectures, Experience with IBM MQ, Experience with Kubernetes, Experience with WebLogic Server, Knowledge of Domain-Driven Design, Experience designing RESTful APIs, Strong analytical and problem-solving skills, Ability to lead technical teams, Fluent English C1 📃 Skills: Java, Oracle, Azure, Kafka, Kubernetes, WebLogic, IBM, Redis, REST, DDD 🏢 Description: Addepto is a leading AI consulting ( https://addepto.com/ai-consulting/ ) and data engineering ( https://addepto.com/data-engineering-services/ ) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth. The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide . As part of KMS Technology , a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale. We are looking for a visionary and hands-on Senior/Lead Software Engineer to design and guide the implementation of robust, scalable, and secure software solutions. This role requires a deep understanding of both modern and legacy architectures, with a strong emphasis on integrating disparate systems and leveraging cloud-native technologies. The ideal candidate will bridge the gap between business requirements and technical execution, ensuring our solutions are aligned with strategic goals and best practices. 🚀 In this position, you will: Lead the design and development of end-to-end architectural solutions, ensuring alignment with enterprise architecture standards, business requirements, and technology strategy. Provide technical leadership and guidance to development teams throughout the project lifecycle, from conception to deployment. Evaluate and recommend appropriate technologies, tools, and platforms to solve complex business problems, considering both cost and long-term viability. Design and oversee the integration of diverse systems, including legacy platforms (WebLogic, IBM MQ) and modern cloud services. Champion Domain-Driven Design principles to ensure solutions are modular, maintainable, and reflect core business domains. Drive the adoption and optimal utilization of Microsoft Azure services, including Application Gateway and Redis, ensuring high availability, scalability, and security. Design and implement event streaming solutions using Kafka, fostering asynchronous communication and real-time data processing. Leverage Kubernetes for container orchestration, ensuring efficient deployment, scaling, and management of microservices. Define performance and scalability requirements and ensure architectural designs meet these non-functional criteria. Create and maintain comprehensive architectural documentation, including design specifications, diagrams, and technical standards. Mentor and guide junior architects and developers, fostering a culture of technical excellence and continuous improvement. Effectively communicate complex technical concepts to both technical and non-technical stakeholders. 🎯 What you’ll need to succeed in this role: At least 7+ years of proven commercial experience with Java development and strong proficiency in Oracle database technologies, including performance tuning and schema design. Extensive experience in designing and implementing solutions across both modern, cloud-native architectures and legacy systems. Hands-on experience with Microsoft Azure services, including but not limited to Azure Compute, Networking, Storage, Azure Application Gateway, and Azure Cache for Redis. Event streaming and messaging experience, strong understanding, and practical experience with Kafka for building event-driven architectures, as well as traditional messaging systems like IBM MQ. Solid experience with Kubernetes for deploying and managing containerized applications. Experience with WebLogic Server for deploying and managing enterprise Java applications. Expert knowledge of Domain-Driven Design (DDD) principles and their application in real-world projects. Experience designing RESTful APIs and other integration patterns. Exceptional analytical and problem-solving skills with the ability to troubleshoot complex issues across distributed systems. Excellent verbal and written communication skills, with the ability to articulate complex technical concepts clearly and concisely. Proven ability to lead and influence technical teams and stakeholders. Fluent English (C1 level) is a must. 🎁 Discover our perks and benefits: Work in a supportive team of passionate enthusiasts of AI & Big Data. Engage with top-tier global enterprises and cutting-edge startups on international projects. Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces. Accelerate your professional growth through career paths , knowledge-sharing initiatives, language classes, and sponsored training or conferences , including a partnership with Databricks , which offers industry-leading training materials and certifications. Choose your preferred form of cooperation - B2B or a contract of mandate - and enjoy 20 fully paid days off Participate in team-building events and utilize the integration budget . Celebrate work anniversaries, birthdays, and milestones. Access medical and sports packages , eye care, and well-being support services, including psychotherapy and coaching. Get full work equipment for optimal productivity, including a laptop and other necessary devices. With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups. Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture. Are you interested in Addepto and would like to join us? Get in touch! We are looking forward to receiving your application. Would you like to know more about us? Visit our website ( career page ) and social media ( Facebook , LinkedIn , Instagram ).

🏢 Summary: Senior/Lead Software Engineer role focused on designing and guiding implementation of scalable, secure software architectures across cloud-native and legacy environments. The position involves leading end-to-end architectural design, system integrations, and event-driven solutions using Azure and Kubernetes. It requires strong technical leadership to align business needs with robust enterprise-grade solutions. 🗂️ Requirements: 7+ years commercial experience in Java development, Strong proficiency in Oracle databases including performance tuning and schema design, Experience designing cloud-native and legacy system architectures, Hands-on experience with Microsoft Azure services, Practical experience with Kafka and IBM MQ messaging systems, Experience with Kubernetes for containerized applications, Experience with WebLogic Server, Expert knowledge of Domain-Driven Design (DDD), Experience designing RESTful APIs and integration patterns, Ability to define performance and scalability requirements, Fluent English (C1) 📃 Skills: Java, Oracle, Azure, Kafka, IBMMQ, Kubernetes, WebLogic, DDD, REST, Redis, ApplicationGateway, SQL 🏢 Description: Addepto is a leading AI consulting ( https://addepto.com/ai-consulting/ ) and data engineering ( https://addepto.com/data-engineering-services/ ) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth. The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide . As part of KMS Technology , a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale. We are looking for a visionary and hands-on Senior/Lead Software Engineer to design and guide the implementation of robust, scalable, and secure software solutions. This role requires a deep understanding of both modern and legacy architectures, with a strong emphasis on integrating disparate systems and leveraging cloud-native technologies. The ideal candidate will bridge the gap between business requirements and technical execution, ensuring our solutions are aligned with strategic goals and best practices. 🚀 In this position, you will: Lead the design and development of end-to-end architectural solutions, ensuring alignment with enterprise architecture standards, business requirements, and technology strategy. Provide technical leadership and guidance to development teams throughout the project lifecycle, from conception to deployment. Evaluate and recommend appropriate technologies, tools, and platforms to solve complex business problems, considering both cost and long-term viability. Design and oversee the integration of diverse systems, including legacy platforms (WebLogic, IBM MQ) and modern cloud services. Champion Domain-Driven Design principles to ensure solutions are modular, maintainable, and reflect core business domains. Drive the adoption and optimal utilization of Microsoft Azure services, including Application Gateway and Redis, ensuring high availability, scalability, and security. Design and implement event streaming solutions using Kafka, fostering asynchronous communication and real-time data processing. Leverage Kubernetes for container orchestration, ensuring efficient deployment, scaling, and management of microservices. Define performance and scalability requirements and ensure architectural designs meet these non-functional criteria. Create and maintain comprehensive architectural documentation, including design specifications, diagrams, and technical standards. Mentor and guide junior architects and developers, fostering a culture of technical excellence and continuous improvement. Effectively communicate complex technical concepts to both technical and non-technical stakeholders. 🎯 What you’ll need to succeed in this role: At least 7+ years of proven commercial experience with Java development and strong proficiency in Oracle database technologies, including performance tuning and schema design. Extensive experience in designing and implementing solutions across both modern, cloud-native architectures and legacy systems. Hands-on experience with Microsoft Azure services, including but not limited to Azure Compute, Networking, Storage, Azure Application Gateway, and Azure Cache for Redis. Event streaming and messaging experience, strong understanding, and practical experience with Kafka for building event-driven architectures, as well as traditional messaging systems like IBM MQ. Solid experience with Kubernetes for deploying and managing containerized applications. Experience with WebLogic Server for deploying and managing enterprise Java applications. Expert knowledge of Domain-Driven Design (DDD) principles and their application in real-world projects. Experience designing RESTful APIs and other integration patterns. Exceptional analytical and problem-solving skills with the ability to troubleshoot complex issues across distributed systems. Excellent verbal and written communication skills, with the ability to articulate complex technical concepts clearly and concisely. Proven ability to lead and influence technical teams and stakeholders. Fluent English (C1 level) is a must. 🎁 Discover our perks and benefits: Work in a supportive team of passionate enthusiasts of AI & Big Data. Engage with top-tier global enterprises and cutting-edge startups on international projects. Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces. Accelerate your professional growth through career paths , knowledge-sharing initiatives, language classes, and sponsored training or conferences , including a partnership with Databricks , which offers industry-leading training materials and certifications. Choose your preferred form of cooperation - B2B or a contract of mandate - and enjoy 20 fully paid days off Participate in team-building events and utilize the integration budget . Celebrate work anniversaries, birthdays, and milestones. Access medical and sports packages , eye care, and well-being support services, including psychotherapy and coaching. Get full work equipment for optimal productivity, including a laptop and other necessary devices. With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups. Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture. Are you interested in Addepto and would like to join us? Get in touch! We are looking forward to receiving your application. Would you like to know more about us? Visit our website ( career page ) and social media ( Facebook , LinkedIn , Instagram ).

🏢 Summary: End-to-end Project Manager role leading AI, Machine Learning, Big Data, and software development projects for international enterprise clients. Responsible for full delivery ownership, aligning business goals with technical execution, and guiding cross-functional engineering teams in complex consulting environments. Acts as a client-facing leader driving scope, quality, timelines, and measurable business impact. 🗂️ Requirements: Proven experience leading end-to-end IT or software development projects, Hands-on experience in AI, Machine Learning, Data Engineering, or Big Data projects, Strong understanding of SDLC and engineering environments, Experience in consulting, AI/data-focused company, or software house, Experience working with large international enterprise clients, Ability to translate business requirements into technical roadmaps, Experience managing cross-functional technical teams, Fluent English (C1/C2) 📃 Skills: AI, MachineLearning, BigData, DataEngineering, SDLC, Python, SQL, Azure, AWS, LLM, GenerativeAI, ComputerVision 🏢 Description: Addepto is a leading AI consulting ( https://addepto.com/ai-consulting/ ) and data engineering ( https://addepto.com/data-engineering-services/ ) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth. The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide . As part of KMS Technology , a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale. As a Project Manager , you will lead complex AI and software development projects end-to-end for international enterprise clients. This is not a task-coordination role. You will act as a delivery owner, consultant, client partner, and team leader - fully accountable for project scope, quality, timelines, stakeholder alignment, and business impact. We are looking for someone who understands how modern software and AI systems are built, how consulting engagements operate, and how to guide both clients and technical teams through complex, high-visibility initiatives. 🚀 In this position, you will: Lead and own end-to-end delivery of AI, Machine Learning, Big Data, and broader IT/software projects - from discovery and requirements gathering through implementation and final delivery. Act as the primary point of contact and trusted advisor for international, enterprise-level clients. Manage relationships with senior stakeholders, including executive-level communication. Ensure alignment between business objectives and technical execution. Translate complex business challenges into structured, deliverable technical roadmaps. Drive scope definition, risk management, budgeting, planning, and resource allocation. Lead and mentor cross-functional teams (Data Scientists, ML Engineers, Data Engineers, Software Engineers). Support and empower the team as a leader — providing clarity, feedback, and direction. Identify opportunities to expand collaboration and contribute to account growth. Participate in pre-sales activities, including shaping solution approaches and connecting technical proposals to business needs. Contribute to recruitment and team scaling initiatives. 🎯 What you’ll need to succeed in this role: Proven experience leading end-to-end IT or software development projects, with full ownership of delivery. Hands-on experience in projects involving AI, Machine Learning, Data Engineering, Big Data, or advanced software systems. Strong understanding of the software development lifecycle (SDLC) and practical exposure to engineering environments. Previous experience in a consulting company, AI/data-focused organization, or software house. Demonstrated experience working with large, international corporate clients. Strong client-facing experience - comfortable operating in a consulting and quasi-account management capacity. Excellent leadership skills and ability to guide senior technical experts. Outstanding communication and presentation skills. Fluent English (C1/C2 level) is mandatory, with the ability to independently lead meetings, workshops, and executive discussions. Strong business mindset and accountability for measurable outcomes. ➕ Nice to have: Technical background (e.g., Python, SQL, Azure, AWS). Hands-on experience with Machine Learning, LLMs, Generative AI, Computer Vision, Big Data, or predictive modeling projects. Experience managing distributed or international teams. Background in enterprise-scale digital transformation programs. 🎁 Discover our perks and benefits: Work in the rapidly evolving world of AI & Big Data . Engage with top-tier global enterprises and cutting-edge startups on international projects. Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces. Accelerate your professional growth through career paths , knowledge-sharing initiatives, language classes, and sponsored training or conferences , including a partnership with Databricks , which offers industry-leading training materials and certifications. Choose your preferred form of cooperation - B2B or a contract of mandate - and enjoy 20 fully paid days off Participate in team-building events and utilize the integration budget . Celebrate work anniversaries, birthdays, and milestones. Access medical and sports packages , eye care, and well-being support services, including psychotherapy and coaching. Get full work equipment for optimal productivity, including a laptop and other necessary devices. With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups. Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture. Are you interested in Addepto and would like to join us? Get in touch! We are looking forward to receiving your application. Would you like to know more about us? Visit our website ( career page ) and social media ( Facebook , LinkedIn , Instagram ).

🏢 Summary: The role involves leading the design and optimization of intelligent search systems powered by machine learning to build advanced retrieval pipelines for an enterprise AI platform. You will develop query understanding, learning-to-rank models, entity recognition pipelines, and scalable search infrastructure to support real-time, large-scale data environments. The position focuses on improving search relevance through statistical and neural methods while influencing architecture and evaluation frameworks. 🗂️ Requirements: Bachelor’s/Master’s/PhD in Statistics, Mathematics, Computer Science or related quantitative field, 7+ years backend engineering experience, 3+ years experience in search or information retrieval, Strong proficiency in Python, Hands-on experience with OpenSearch or Elasticsearch, Strong knowledge of information retrieval methods (TF-IDF, BM25), Experience with neural search techniques and vector embeddings, Experience with NLP and text processing, Experience with relevance evaluation metrics (NDCG, MRR, MAP), Experience with large-scale distributed systems 📃 Skills: Python, OpenSearch, Elasticsearch, TF-IDF, BM25, NLP, NDCG, MRR, MAP, Embeddings, Transformers, KnowledgeGraphs, DistributedSystems 🏢 Description: About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities As we work towards building out the Context Layer for the Agentic Enterprise, we are looking for an exceptional Search/AI Engineer with experience in Search Relevance to join our growing team. In this role, you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core. You’ll be responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition. The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale. In this role, you will also be responsible for: Lead the development of advanced query understanding systems that parse natural language, resolve ambiguity, and infer user intent Design and deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing Create and maintain graph-based knowledge systems that enhance LLM capabilities through structured relationship data Drive improvements in query rewriting, intent classification, and semantic search, using both statistical and neural methods Own the design of evaluation frameworks for offline/online relevance testing, A/B experimentation, and continual model tuning Collaborate with product and applied research teams to translate user needs into data-informed search innovations Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack Requirements Qualifications / Experience / Technical Skills Bachelor's/Master's/PhD degree in Statistics, Mathematics, Computer Science, or another quantitative field 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields Strong proficiency in Python Hands-on experience with search engines (Opensearch or Elasticsearch) Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models) Experience with text processing, NLP, and relevance tuning Experience with relevance evaluation metrics (NDCG, MRR, MAP) Experience with large-scale distributed systems Proficiency in Knowledge Graph construction and optimization is a plus Strong analytical and problem-solving skills Soft Skills / Personal Characteristics Strong communication abilities to explain technical concepts Collaborative mindset for cross-functional teamwork Detail-oriented with strong focus on quality Self-motivated and able to work independently Passion for solving complex search problems (REQ ID: 2472)

🏢 Summary: Staff Product Manager role focused on defining and executing the strategy for advanced builder and authoring experiences within a low-code/no-code automation platform. The position drives innovation in AI-powered development assistance, debugging, and enterprise integration patterns to support complex workflow orchestration. It requires leading cross-functional teams to deliver intelligent, scalable, and user-centric developer tools. 🗂️ Requirements: 8+ years of product management experience in SaaS or B2B, Experience with developer tools or low-code/no-code platforms, Proven delivery of complex authoring or IDE experiences, Experience improving developer productivity metrics, Expertise in IDEs, code editors, or visual programming tools, Experience with version control and CI/CD practices, Hands-on experience with iPaaS or automation platforms, Strong understanding of API design and integration patterns, Experience with distributed systems and scalability, Experience integrating AI/ML into development tools, Understanding of NLP for code generation or intent recognition, Experience with A/B testing and feature experimentation, Bachelor’s degree in Computer Science, Engineering, HCI, or related field 📃 Skills: SaaS, B2B, IDE, CI/CD, APIs, iPaaS, Zapier, Mulesoft, Boomi, AI, ML, NLP, A/B, Analytics, DistributedSystems, VersionControl 🏢 Description: About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities As Staff Product Manager for Builder Experience, you will define and execute the strategy to deliver world-class authoring experiences that empower both technical and business users to create sophisticated automations efficiently. Your goal is to build intuitive, powerful, and intelligent builder tools that set the standard for low-code/no-code platforms while supporting advanced patterns for complex enterprise use cases. Enable Advanced Integration Patterns Support complex enterprise patterns including scatter-gather and asynchronous processing Build capabilities for multiple trigger configurations and conditional routing Deepen debugging capabilities such as mid-job reruns and viewing logs in loops Ensure the platform can handle sophisticated error handling and compensation patterns Drive innovation in how users visualize and manage complex workflow orchestrations Leadership in Builder Experience Innovation Develop and execute the product strategy for comprehensive authoring experiences across the entire automation lifecycle Define and prioritize the roadmap for next-generation builder capabilities including AI-powered copilot features, advanced debugging tools, and intelligent assistance Champion user-centric design principles to ensure the builder experience delights users at every skill level Drive adoption of advanced integration patterns including multiple triggers, scatter-gather, and promise-based architectures Drive AI-Powered Development Assistance Integrate AI copilot capabilities to accelerate automation development through intelligent code suggestions and pattern recognition Build smart error detection and resolution features that guide users to successful implementations Leverage machine learning to provide contextual help and recommendations based on user behavior and common patterns Partner with AI research teams to infuse intelligence throughout the authoring experience Build Comprehensive Development Tools Own the macro-view experience for managing multiple assets working together, ensuring seamless collaboration and reusability Deliver micro-view capabilities for deep debugging of individual steps, loops, and data transformations Implement robust design-time testing capabilities that reduce errors before deployment Create sophisticated undo/redo mechanisms, draft management, and autosave features that protect user work Lead Cross-Functional Execution Collaborate closely with engineering, UX, and architecture teams to deliver seamless builder experiences Partner with Platform Experience PM to ensure consistency across the platform Work with customer success and support teams to understand pain points and iterate on solutions Act as the voice of the builder, advocating for developer and business user needs across the organization Requirements Leadership & Product Management 8+ years of product management experience in SaaS or B2B environments, with focus on developer tools or low-code/no-code platforms Proven success in shipping complex authoring experiences that balance simplicity with power Strong track record of improving developer productivity metrics and user satisfaction scores Experience leading cross-functional initiatives that require deep technical understanding and user empathy Builder & Developer Tools Expertise Deep expertise in IDE design, code editors, visual programming interfaces, and debugging tools Strong understanding of both low-code/no-code paradigms and traditional development workflows Experience with modern development practices including version control, CI/CD, and collaborative development Hands-on experience with automation platforms, iPaaS solutions (Zapier, Make, Mulesoft, Boomi), or workflow builders Familiarity with AI-assisted development tools and copilot technologies Technical Foundation Strong technical background with ability to understand complex integration patterns and distributed systems Experience with API design, data transformation, and enterprise integration patterns Understanding of performance optimization, scalability challenges, and enterprise-grade requirements Ability to work closely with engineering teams on technical architecture decisions AI & Intelligent Automation Experience integrating AI/ML capabilities into development tools to enhance productivity Understanding of natural language processing for intent recognition and code generation Familiarity with predictive analytics for error prevention and performance optimization Vision for how AI can transform the development experience without sacrificing control Customer-Centric Execution Ability to deeply understand the needs of diverse user personas from citizen developers to enterprise architects Proven ability to translate complex technical concepts into intuitive user experiences Track record of using data, user research, and feedback to drive product decisions Experience balancing the needs of technical and non-technical users in a single platform Analytical & Data-Driven Decision Making Strong ability to define and track metrics that matter for developer productivity and satisfaction Experience with A/B testing, feature experimentation, and iterative improvement Ability to analyze usage patterns to identify opportunities for simplification and automation Data-driven approach to prioritization and roadmap planning Educational Background Bachelor's Degree in Computer Science, Engineering, Human-Computer Interaction, or a related field An advanced degree is a plus but not required For California applicants, the pay for this role may range between $180,000 - $240,000 plus benefits, perks, and equity. The final package will depend on the interview process, we're open to negotiation. Job Req #2285

🏢 Summary: The offer is for a Data Engineer role focused on designing, building, and optimizing scalable data platforms and pipelines in cloud environments. The position involves working with big data technologies, data warehousing solutions, and distributed processing frameworks across international projects. The role emphasizes high-quality delivery through automated testing, CI/CD, and close collaboration with business stakeholders. 🗂️ Requirements: Minimum 3 years of commercial programming experience, Experience with at least one cloud provider: GCP, Azure or AWS, Knowledge of JVM language (Scala or Java or Kotlin), Knowledge of Python, Knowledge of SQL, Experience with data warehousing solution: BigQuery or Snowflake or Databricks or similar, Understanding of big data concepts: storage, modeling, processing, scheduling, Experience in data modeling, Experience in data storage solutions, Experience with automated testing and CI/CD, Experience with code review practices, Experience in collaboration with business stakeholders, English proficiency at B2 level, Communicative Polish 📃 Skills: GCP, Azure, AWS, Scala, Java, Kotlin, Python, SQL, BigQuery, Snowflake, Databricks, Spark, Dataproc, CloudComposer, PubSub, Dataflow, Kafka, Airflow, Flink, Kubernetes, Docker, BigData, CI/CD, ETL 🏢 Description: We’re looking for a Data Engineer ready to push boundaries and grow with us. Datumo specializes in providing Data Engineering and Cloud Computing consulting services to clients from all over the world, primarily in Western Europe, Poland and the USA. Core industries we support include e-commerce 🛒, telecommunications 📡 and life sciences 🧬. Our team consists of exceptional people whose commitment allows us to conduct highly demanding projects. Our team members tend to stick around for more than 3 years, and when a project wraps up, we don't let them go - we embark on a journey to discover exciting new challenges for them. It's not just a workplace; it's a community that grows together! Must-have: ✅ at least 3 years of commercial experience in programming ✅ proven record with a selected cloud provider GCP (preferred), Azure or AWS ✅ good knowledge of JVM languages (Scala or Java or Kotlin), Python, SQL ✅ experience in one of data warehousing solutions: BigQuery/Snowflake/Databricks or similar ✅ in-depth understanding of big data aspects like data storage, modeling , processing , scheduling etc. ✅ data modeling and data storage experience ✅ ensuring solution quality through automatic tests, CI/CD and code review ✅ proven collaboration with businesses ✅ English proficiency at B2 level, communicative in Polish Nice to have: 🌟 knowledge of dbt, Docker and Kubernetes, Apache Kafka 🌟 familiarity with Apache Airflow or similar pipeline orchestrator 🌟 another JVM (Java/Scala/Kotlin) programming language 🌟 experience in Machine Learning projects 🌟 understanding of Apache Spark or similar distributed data processing framework 🌟 familiarity with one of BI tools: Power BI/Looker/Tableau 🌟 willingness to share knowledge (conferences, articles, open-source projects) What’s on offer: 🔥 100% remote work, with workation opportunity 🔥 20 free days 🔥 onboarding with a dedicated mentor 🔥 project switching possible after a certain period 🔥 individual budget for training and conferences 🔥 benefits: Medicover Private Medical Care , co-financing of the Medicover Sport card 🔥 opportunity to learn English with a native speaker 🔥 regular company trips and informal get-togethers Development opportunities in Datumo: 🚀 participation in industry conferences 🚀 establishing Datumo's online brand presence 🚀 support in obtaining certifications (e.g. GCP, Azure, Snowflake) 🚀 involvement in internal initiatives, like building technological roadmaps 🚀 training budget 🚀 access to internal technological training repositories Discover our exemplary project: 🔌 IoT data ingestion to cloud The project integrates data from edge devices into the cloud using Azure services. The platform supports data streaming via either the IoT Edge environment with Java or Python modules, or direct connection using Kafka protocol to Event Hubs. It also facilitates batch data transmission to ADLS. Data transformation from raw telemetry to structured tables is done through Spark jobs in Databricks or data connections and update policies in Azure Data Explorer. ☁️ Petabyte-scale data platform migration to Google Cloud The goal of the project is to improve scalability and performance of the data platform by transitioning over a thousand active pipelines to GCP. The main focus is on rearchitecting existing Spark applications to either Cloud Dataproc or Cloud BigQuery SQL, depending on the Client’s requirements and automate it using Cloud Composer. 📈 Data analytics platform for investing company The project centers on developing and overseeing a data platform for an asset management company focused on ESG investing. Databricks is the central component. The platform, built on Azure cloud, integrates various Azure services for diverse functionalities. The primary task involves implementing and extending complex ETL processes that enrich investment data, using Spark jobs in Scala. Integrations with external data providers, as well as solutions for improving data quality and optimizing cloud resources, have been implemented. 🛒 Realtime Consumer Data Platform The initiative involves constructing a consumer data platform (CDP) for a major Polish retail company. Datumo actively participates from the project’s start, contributing to planning the platform’s architecture. The CDP is built on Google Cloud Platform (GCP), utilizing services like Pub/Sub, Dataflow and BigQuery. Open-source tools, including a Kubernetes cluster with Apache Kafka, Apache Airflow and Apache Flink, are used to meet specific requirements. This combination offers significant possibilities for the platform. Recruitment process: 1️⃣Quiz - 15 minutes 2️⃣ Soft skills interview - 30 minutes 3️⃣ Technical interview - 60 minutes Find out more by visiting our website - https://www.datumo.io If you like what we do and you dream about creating this world with us - don’t wait, apply now!

🏢 Summary: The role involves building next-generation developer products and APIs for LLM and agentic application development within a scalable enterprise platform. The engineer will design, implement, and optimize robust services, focusing on developer experience, ML service reliability, and performance. The position covers the full development lifecycle from architecture to deployment in a fast-paced AI-driven environment. 🗂️ Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems or equivalent experience, 3+ years of professional software development experience, Experience building developer-facing products, APIs, SDKs, or CLIs, Proficiency in Go, Python, Ruby, or JavaScript, Hands-on experience with LLM models, Experience deploying and maintaining ML services in production, Strong understanding of API design and software architecture, Knowledge of data structures and algorithms, Experience with LLMOps or MLOps, Experience building or supporting developer platforms or sandbox environments 📃 Skills: Go, Python, Ruby, JavaScript, LLM, MLOps, LLMOps, APIs, SDKs, CLI, ML, DataStructures, Algorithms 🏢 Description: About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are seeking a product-minded Software Engineer to join our San Francisco team focused on building the next generation of developer products. This role is at the forefront of innovation, specifically creating tools and platforms for developers who are building LLM and Agentic applications. You will be instrumental in shaping the future of how developers interact with and build on top of Workato's ecosystem in the age of AI. You will collaborate closely with product, engineering, and developer relations teams to deliver robust, scalable, and intuitive services. This role requires a high technical bar, plus an emphasis on developer ergonomics, so we can deliver a delightful developer experience. You will also be responsible to: Design, build, and maintain robust, scalable, and high-quality developer-facing products and APIs for LLM and Agentic application development. Collaborate closely with product managers, designers, developer relations and other engineers to translate developer needs and product requirements into elegant technical solutions. Write clean, maintainable, and well-tested code, and contribute to a high standard of engineering excellence within the team. Implement and improve validation, monitoring, and observability for ML services within the sandbox environment. Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement. Continuously evaluate and optimize existing implementations for performance, scalability, and developer usability. Identify and resolve bottlenecks, bugs, and technical challenges in a fast-paced, iterative environment. Conduct code reviews and mentor team members to uphold high engineering standards. Stay at the cutting edge of AI, LLMs, and developer tooling, bringing new ideas and technologies to the team. Requirements Qualifications / Experience / Technical Skills Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or equivalent industry experience. 3+ years of experience of professional software development experience, with a proven track record of shipping high-quality products. You are a product-minded engineer who thinks deeply about the end-user. You have strong opinions about what makes a great developer experience. You have experience building developer-facing products, APIs, SDKs, or CLIs. You are proficient in one or more modern programming languages such as Go, Python, Ruby, or JavaScript and hands-on experience with LLM models. Proven track record of deploying and maintaining ML services in production environments is a strong plus. Solid understanding of API design, developer tooling, software architecture, data structures, and algorithms. LLMops/MLops experience is a strong plus, especially in developer-facing products. Experience building or supporting developer platforms, APIs, or sandbox environments is highly desirable. Soft Skills / Personal Characteristics Excellent written and verbal communication skills in English. Collaborative team player with a passion for empowering developers and improving developer experience. Adaptable, proactive, and creative—comfortable working in a dynamic, startup-like environment. Strong problem-solving skills and a continuous improvement mindset. (REQ ID: 2242)

🏢 Summary: Hands-on .NET Architect role focused on designing and guiding delivery of secure, scalable, cloud-native enterprise platforms on Azure. The position combines deep technical expertise in C# and distributed systems with ownership of target architecture and production-grade solution design. Emphasis on microservices, platform engineering, data architecture, security, and DevSecOps practices. 🗂️ Requirements: Degree in Computer Science or related field, 10+ years in software engineering or solution architecture on Microsoft stack, Strong expertise in C# and .NET Core/.NET 8, Experience with ASP.NET Core and Web APIs, Architecture of distributed systems and microservices, Azure architecture across AKS and core Azure services, Design of integration-heavy enterprise platforms, Strong knowledge of SQL Server or PostgreSQL performance tuning, Understanding of scalability, availability, and resiliency patterns, Experience with containers, Kubernetes, and CI/CD, Knowledge of application security and secure coding practices, Foundational understanding of AI and machine learning concepts 📃 Skills: C#, .NET, ASP.NET, Azure, AKS, Microservices, APIs, SQL, SQLServer, PostgreSQL, Kubernetes, Docker, CI/CD, DevSecOps, ServiceBus, EventGrid, KeyVault, AppServices, Functions, APIManagement, Storage, Authentication, Encryption, Datadog, Dynatrace, ApplicationInsights, OpenTelemetry, Grafana, AI 🏢 Description: Description We are seeking a forward-looking, hands-on .NET Architect who can shape the target architecture for modern platforms while staying close to engineering delivery. The ideal candidate will combine deep expertise in C#, .NET, Azure, cloud-native architecture, distributed systems, APIs, data, and platform engineering with the ability to guide teams through practical, production-grade solution design. This role is suited to an architect who can think 3–5 years ahead, simplify complex landscapes, and help build secure, scalable, resilient, and configurable enterprise platforms. Requirements Bachelor’s or master’s degree in Computer Science, Engineering, or a related field 10+ years of experience in software engineering, solution architecture, or platform engineering, with significant experience in Microsoft technology stacks Strong hands-on expertise in C#, .NET / .NET Core / .NET 8, ASP.NET Core, Web APIs, background services, and enterprise application design Deep experience in architecting distributed systems using microservices, asynchronous messaging, event-driven design, and API-led integration patterns Strong Azure architecture experience, preferably across AKS, App Services, Functions, API Management, Key Vault, Service Bus, Event Grid, Storage, monitoring, and identity integration patterns Experience designing and supporting platforms, configurable product architectures, and integration-heavy enterprise solutions Strong understanding of relational databases and performance engineering, especially SQL Server and/or PostgreSQL, including schema design, indexing, query tuning, and transaction handling Solid grasp of non-functional architecture including performance, scalability, availability, fault isolation, observability, and disaster recovery Strong understanding of application and platform security including authentication, authorization, secrets management, encryption, secure coding, and compliance-oriented design Experience with containers, Kubernetes, CI/CD, infrastructure automation, and modern DevSecOps practices Ability to make sound architecture decisions with a balance of pragmatism, delivery speed, engineering quality, and long-term maintainability Strong communication and stakeholder management skills across product, engineering, architecture, operations, security, and client-facing teams Foundational understanding of AI concepts, including how machine learning models  work, common AI use cases, and basic principles of data handling. Ability to use AI‑powered tools and platforms to support daily tasks, with strong attention to detail and commitment to maintaining data accuracy. Fluent command of the Polish language (C1/C2) Desirable Qualifications and Skills Experience in insurance, Insurtech, BFSI, or other regulated, transaction-heavy domains. Exposure to policy administration, billing, accounting, claims, workflow orchestration, or reporting platforms within the insurance value chain. Experience with architecture frameworks and modeling approaches such as TOGAF, domain-driven design, UML, C4, or equivalent practical architecture methods. Familiarity with mixed technology landscapes involving .NET, Java/Spring Boot, enterprise workflow tools, and integration ecosystems. Experience with observability and reliability tooling such as Datadog, Dynatrace, Application Insights, Open Telemetry, Grafana, or similar. Working knowledge of Angular, React, or modern web application architecture patterns. Exposure to AI-enabled engineering, intelligent automation, or embedding AI capabilities into enterprise platforms. Leadership experience across globally distributed or virtual teams. What you can expect from us: Unique professional and personal development at one of the pioneer companies in professional insurance support. Ongoing professional training – to onboard you for a good start and your further professional development. Your own growth training budget - use internal and external development opportunities and take advantage of your own budget. LUXMED medical cover for you with full dental care, oncological preventive program and additional mental health support with helpline & individual sessions with a therapist.. 8-hour work time with a lunch break already included - spend the rest of the day doing what is important to you as intended in the #2h4Family program. Private life insurance - 80% of the premium is covered by an employer. Employee referral program - we appreciate you recommending your friends to join us. Additional days off - to celebrate your birthday, moreover, if you want to do a volunteering work, feel free to do so with some extra days off. Integration events - monthly delicious breakfasts, movie nights, board game nights, outdoor events. Lively and modern office in the City Centre with parking space for employees. A supportive and friendly atmosphere created by passionate people.

🏢 Summary: Staff Product Manager for Developer Platforms responsible for defining and executing the strategy for AI and LLM-focused developer products, owning the end-to-end developer experience from APIs to production-scale agent systems. The role drives vision, roadmap, and adoption of developer tools, APIs, and extensibility frameworks, partnering closely with engineering to deliver scalable AI-powered automation solutions. Focused on developer ergonomics, platform scalability, and AI-driven workflows in a competitive market. 🗂️ Requirements: 7+ years in product management, Experience owning developer-facing products end-to-end, Experience building or managing APIs, SDKs, or CLIs, Experience driving external developer adoption, Ability to define product vision and roadmap for developer platforms, Experience collaborating closely with engineering on system design and scalability, Familiarity with AI/LLM or agent-based development workflows, Experience creating PRDs and technical specifications, Experience analyzing product metrics and adoption funnels 📃 Skills: APIs, SDKs, CLIs, LLM, AI, LangChain, LlamaIndex, MLOps, CI/CD, IDE, Agentic, Orchestration, Automation, Integration 🏢 Description: About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers We’re looking for a Staff Product Manager for Developer Platforms who doesn’t just ship features—but defines what should exist in the first place. This role owns the end-to-end experience for developers building on Workato: from first API call to production-scale agent systems. This is not a roadmap execution role. You will define the platform strategy, make hard tradeoffs, and build a product that developers choose in a competitive market. Responsibilities We are seeking a strategic Staff Product Manager to lead our developer-facing products for LLM and Agentic applications. In this pivotal role, you will be the bridge between our developers, our business goals, and our engineering teams, driving the vision and execution of next-generation AI-powered automation and integration tools on the Workato platform. You will be responsible for the entire product lifecycle, from identifying market opportunities and defining the product vision to working with engineering to deliver solutions that empower developers. This role requires someone who has successfully built and shipped developer products before, with a deep understanding of developer ergonomics and an instinct for what separates good developer tools from truly exceptional ones. This is a critical role for someone with a proven track record in developer experience, a strong understanding of the AI landscape, and the ability to translate complex technical capabilities into tangible business value. You should know what great developer tools look and feel like because you've built them yourself. You will also be responsible to: Define and champion the product vision, strategy, and roadmap for Workato's AI and LLM-focused developer products. Partner closely with engineering, design, marketing, and sales to deliver exceptional AI products and drive go-to-market success. Build deep insights into developer workflows, needs, and pain points through direct customer engagement, user research, and community feedback. Transform developer insights and business requirements into actionable PRDs, user stories, and technical specifications. Own the product backlog and feature prioritization, making data-driven decisions that balance immediate developer needs with long-term platform vision. Lead competitive intelligence and market analysis to identify emerging trends and ensure Workato stays ahead in AI developer tooling. Champion the product vision both internally and externally, engaging with developer communities, conferences, and key technical stakeholders. Establish and monitor key product metrics including developer satisfaction, API adoption, and platform engagement to drive continuous improvement. Drive developer adoption metrics and optimize onboarding experiences to reduce time-to-first-value. Requirements Qualifications / Experience / Technical Skills 7+ years in product management, including owning a developer-facing product or platform end-to-end—from defining the vision to shipping and iterating Strong product instincts for developer platforms, with a clear point of view on what differentiates winning products (DX, capabilities, ecosystem, distribution) Experience driving adoption with external developers, including improving key stages of the funnel: discover → try → activate → scale Hands-on experience building or managing APIs, SDKs, CLIs, or extensibility frameworks, with an understanding of how these impact real developer workflows Demonstrated developer empathy, grounded in observing and improving real workflows (e.g., working with APIs, CI/CD, logs, IDEs) Comfortable going deep with engineering on system design and tradeoffs, including constraints, scalability, and abstraction decisions Familiarity with modern AI/LLM or agent-based development workflows (e.g., orchestration, prompt iteration, evaluation, observability) Awareness of how developer workflows are evolving (AI copilots, APIs-first development, faster iteration cycles), with a perspective on where things are headed Nice to Have Hands-on experience building or using LLM-powered applications and familiarity with AI frameworks like LangChain, LlamaIndex, or similar. Experience with integration, automation, or MLOps platforms. Active participation in developer communities through writing, speaking, or open-source contributions. Soft Skills / Personal Characteristics You are a strategic thinker who can connect technology with business impact and craft a compelling product narrative. You have excellent leadership and communication skills, with the ability to influence and align cross-functional teams. You are comfortable with ambiguity and rapid iteration, thriving in fast-paced, innovative environments. (REQ ID: 2249)

🏢 Summary: Staff Forward Deployed Engineer responsible for designing and deploying advanced agent-based AI and RAG solutions using the Workato Agentic AI platform. The role focuses on building scalable, autonomous AI workflows, integrating enterprise systems, and delivering tailored AI-driven automation solutions for customers. It combines AI engineering, integration architecture, and hands-on development in complex enterprise environments. 🗂️ Requirements: BTech/BE or higher in Computer Science, AI, ML, or related field, 12+ years experience in design, development, and implementation, Minimum 1 year hands-on experience with Workato, Proven experience in AI engineering with agent-based systems, Experience designing and implementing scalable AI-driven workflows, Hands-on experience in integration projects and automation technologies, Strong knowledge of RESTful and SOAP/XML APIs, Strong understanding of JSON and data structures, Experience with RDBMS or NoSQL databases, Hands-on programming experience in Java or Python or Ruby 📃 Skills: Workato, AI, MachineLearning, LLM, RAG, APIs, REST, SOAP, JSON, RDBMS, NoSQL, Java, Python, Ruby, Microservices, SOA, ESB, BPM, RPA, iPaaS, SaaS, Cloud, TIBCO, MuleSoft, DellBoomi, Workday, NetSuite, Salesforce, ServiceNow, Marketo 🏢 Description: About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for an experienced Staff Forward Deployed Engineer to join our Forward Deployed Engineering team. In this role you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience, and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams. Workato has a positive, diverse, and collaborative culture—we look for people who are curious, inventive, smart, hardworking, and work to be a little better every day. Workato has also been recognized amongst the “Top 47 Enterprise Startups to Bet Your Career On in 2020”, the “Hottest 13 Productivity Software Startups to Watch in 2020!”, and the “Top 15 Startups helping even non-programmers build simple apps, ahead of an expected software developer shortage” by Business Insider. In this role, you will also be responsible for: Implement agent-based AI solutions using the Workato Agentic AI platform Implement intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform Implement and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs) Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows Act as a technical solutions expert with strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform Continuously monitor and improve AI system performance, ensuring efficiency and reliability Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise Assist the Product Manager in creating technical and design specifications, ensuring alignment with product goals and user needs Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences Requirements Qualifications / Experience / Technical Skills BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field A total of 12+ years of relevant experience in design, development, and implementation, with at least 1 year of experience in Workato, is a must Proven experience in AI engineering, with a focus on agent-based systems Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases Experience working with integration platforms such as Workato, TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools is a plus. Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure—is also a plus Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL Hands-on experience with any of the following: Java, Python, or Ruby Technical background or a solid understanding of technology and industry trends, especially in the app integration space Experience working with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, Marketo is a plus Good knowledge of Microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus Soft Skills / Personal Characteristics Strong collaboration skills, ability to adapt to a dynamic startup environment with a passion for making an impact Strong critical thinking, analytical skills with an entrepreneurial and proactive mindset Ability to effectively prioritize tasks and manage time, even under high-pressure situations Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience Fast learner who can independently conduct extensive research, and synthesize ideas, information and options quickly Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge (REQ ID: 2447)