Backend Engineer

🏢 Summary: Backend Engineer role focused on building and optimizing high‑performance, large‑scale data processing systems within an AI‑driven behavioral data platform. The position involves designing architectures for high‑volume data, developing distributed services, and ensuring scalability and performance in cloud environments. You will work with modern JVM technologies, streaming platforms, and observability tools in a production‑grade system used by enterprise clients. 🗂️ Requirements: Proficiency in Scala or other JVM language, Willingness to program in Rust, Solid understanding of Kafka, Solid understanding of Kubernetes, Experience with Akka or ZIO or Cats, Experience with SQL databases, Experience with NoSQL databases, Hands-on use of AI coding tools in daily development, Ability to design and scale high-volume distributed systems, Strong debugging and troubleshooting skills 📃 Skills: Scala, JVM, Rust, Kafka, Kubernetes, Akka, ZIO, Cats, SQL, NoSQL, Azure, GCP, ElasticSearch, Clickhouse, OpenTelemetry, Jaeger, GitHubCopilot, Claude, Cursor 🏢 Description: We successfully deliver an all-in-one tool - Synerise (YouTube link) . An ever-evolving behavioral data platform, enhanced by AI to generate outstanding ROI in more than 30 markets for industry leaders in Retail, Banking, eCommerce, Automotive, Insurance, and Telco, processing more than 150 billion transactions annually. However, we don't limit ourselves solely to this solution. We're building BaseModel (website link) - a foundation model for behavioral data embedded within a novel platform for enterprise Data Science teams, that is another step on our path to create innovation in AI and demonstrate its potential for the business world. ‍ Having such great solutions, we are looking for a highly motivated Backend Engineer to join our brave and brilliant Synerise Team. See if you fit our diverse and dynamic environment, where we constantly evolve together with the growth of our clients. About the team Our Backend Team works primarily with Scala , Apache Kafka , ElasticSearch , Clickhouse , Kubernetes , and cloud environments ( Azure and GCP ). Observability is a first-class concern: distributed tracing (OpenTelemetry, Jaeger), structured logging, and rich metrics are embedded into how we design and operate services. What will you do on a daily basis? Develop architecture and design patterns to process and store high volume data sets. Develop software with a core focus around optimisation and performance. Translate complex functional and technical requirements into detailed design. Perform analysis of vast data stores and uncover insights. What will make us a perfect match? Programming skills in Scala or other JVM language. Programming skills in Rust or willingness to learn. Solid understanding of Kafka and Kubernetes. Experience with (at least one): Akka / ZIO / Cats. Experience with SQL and NoSQL databases. Hands-on experience using AI coding (e.g., Claude Code, Cursor, GitHub Copilot) as part of daily software engineering work. Capacity to plan and scale systems to keep up with incredible growth. Excellent troubleshooting and debugging skills. A passion for building tools and automating everything. Strong analytical skills. What will convince us even more? Solid understanding of JVM internals (GC, profiling, heap and thread dumps). Experience designing and operating microservices architectures . Hands-on experience working in cloud environments ( Azure and/or GCP ), preferably with AKS. Working knowledge of Java or Python. Knowledge of ElasticSearch/Opensearch. Basic knowledge of AI/ML concepts. What can we provide for you? Work on a production-grade, large-scale system used by enterprise customers worldwide. Real technical challenges around performance, data volume, and distributed systems. Opportunities for continuous technical growth and deeper ownership over system design. Support from experienced engineers and a strong engineering culture. Influence on architectural and technical decisions within your team.

🏢 Summary: The offer is for a Scala Software Engineer to build and scale high‑throughput, event‑driven backend systems processing tens of thousands of events per second in a distributed microservices environment. The role focuses on designing reliable, low‑latency data processing architectures using Scala and modern cloud‑native technologies. You will work on large‑scale behavioral data platforms with strong emphasis on performance, consistency, and observability. 🗂️ Requirements: Strong Scala experience in production, Experience with effect systems (Cats, ZIO, Akka or Pekko), Hands-on experience with event-driven systems in production, Deep knowledge of Apache Kafka, Practical experience with Kubernetes, Experience with SQL and NoSQL databases, Ability to design scalable distributed systems, Strong debugging skills in distributed environments, Experience using AI coding tools in daily development 📃 Skills: Scala, Kafka, ElasticSearch, ScyllaDB, Kubernetes, Azure, GCP, Cats, ZIO, Akka, Pekko, OpenTelemetry, Jaeger, SQL, NoSQL, JVM, Java, Rust, Python, Bash, ETL, CQRS, Microservices, GitHubCopilot, Claude, Cursor, AKS 🏢 Description: We successfully deliver an all-in-one tool - Synerise (YouTube link) . An ever-evolving behavioral data platform, enhanced by AI to generate outstanding ROI in more than 30 markets for industry leaders in Retail, Banking, eCommerce, Automotive, Insurance, and Telco, processing more than 150 billion transactions annually. However, we don't limit ourselves solely to this solution. We're building BaseModel (website link) - a foundation model for behavioral data embedded within a novel platform for enterprise Data Science teams, that is another step on our path to create innovation in AI and demonstrate its potential for the business world. ‍ Having such great solutions, we are looking for a highly motivated Scala Software Engineer to join our brave and brilliant Synerise Team. See if you fit our diverse and dynamic environment, where we constantly evolve together with the growth of our clients. About the team Our Backend Team works primarily with Scala , Apache Kafka , ElasticSearch , ScyllaDB , Kubernetes , and cloud environments ( Azure and GCP ). Observability is a first-class concern: distributed tracing (OpenTelemetry, Jaeger), structured logging, and rich metrics are embedded into how we design and operate services. The platform handles up to 28k API requests per second at peak , maintaining p95 latency below 100 ms . As part of the event processing and analytics team, you will work on systems that: Ingest and process high‑volume streams of customer behavior events from online and offline sources (peaks of 30k events per second ) Reliably store and organize event data for analytics and querying at scale Power analytical modules transforming raw events into actionable insights Must remain ordered, consistent, and reliable under heavy load Run in a distributed microservices architecture on Kubernetes We like to experiment and continuously improve. Backend and Frontend teams are supported by dedicated QA and Infrastructure teams, and AI coding assistants (such as Copilot and Claude) are part of our daily workflow — helping us move faster where it makes sense, without replacing engineering judgment. What will you do on a daily basis? Design architectures and patterns for processing and storing large-scale, high‑volume event data. Build backend software with a strong focus on performance, scalability, and reliability. Translate complex functional and technical requirements into robust system designs. Work with large datasets to ensure data correctness and meaningful analytics outcomes. Diagnose and troubleshoot issues in distributed, event-driven systems. Collaborate closely with other backend engineers, QA, and Infrastructure teams. What will make us a perfect match? Strong Scala skills with production experience using an effect system ( Cats Effect, ZIO, Akka/Pekko ). Hands-on experience designing or contributing to event-driven systems in production. Deep understanding of Apache Kafka , including partitioning, delivery guarantees, consumer groups, rebalancing, and lag. Practical knowledge of Kubernetes , sufficient to diagnose pod issues, resource limits, autoscaling, and networking. Experience working with both SQL and NoSQL databases , with a clear understanding of their trade-offs. Ability to design systems for scale: partitioning, sharding, backpressure, and tenant isolation. Strong debugging and troubleshooting skills in distributed environments. Hands-on experience using AI coding (e.g., Claude Code, Cursor, GitHub Copilot) as part of daily software engineering work. What will convince us even more? Solid understanding of JVM internals (GC, profiling, heap and thread dumps). Production experience with observability : distributed tracing, structured logs, and metrics. Experience designing and operating microservices architectures , with awareness of common pitfalls. Hands-on experience working in cloud environments ( Azure and/or GCP ), preferably with AKS. Working knowledge of Java or Rust. Experience with ETL pipelines , Python, or shell scripting. Contributions to open-source projects in the Scala or JVM ecosystem. Familiarity with event sourcing and CQRS. What can we provide for you? Work on a production-grade, large-scale system used by enterprise customers worldwide. Real technical challenges around performance, data volume, and distributed systems. Opportunities for continuous technical growth and deeper ownership over system design. Support from experienced engineers and a strong engineering culture. Influence on architectural and technical decisions within your team.

🏢 Summary: The offer is for a DevOps Engineer responsible for maintaining and developing production infrastructure for a large-scale, real-time, multi-tenant AI and big data platform. The role focuses on ensuring reliability, scalability, and automation of cloud-based systems while collaborating closely with backend engineers. It involves designing infrastructure solutions, improving CI/CD processes, and supporting high-traffic, data-intensive environments. 🗂️ Requirements: Experience with production systems in cloud environments (Azure preferred), Good knowledge of Linux systems, Understanding of basic networking concepts, Experience with CI/CD pipelines, Experience with Infrastructure as Code tools, Hands-on experience with Kubernetes or container platforms, Experience with automation of deployments and infrastructure provisioning, Experience with incident handling and root cause analysis, Hands-on use of AI coding tools in software engineering work 📃 Skills: Azure, Linux, Networking, CI/CD, IaC, Kubernetes, Containers, Kafka, Databases, Monitoring, Observability, Security, AI, Claude, Cursor, Copilot 🏢 Description: We successfully deliver an all-in-one tool - Synerise (YouTube link) . An ever-evolving behavioral data platform, enhanced by AI to generate outstanding ROI in more than 30 markets for industry leaders in Retail, Banking, eCommerce, Automotive, Insurance, and Telco, processing more than 150 billion transactions annually. However, we don't limit ourselves solely to this solution. We're building BaseModel (website link) - a foundation model for behavioral data embedded within a novel platform for enterprise Data Science teams, that is another step on our path to create innovation in AI and demonstrate its potential for the business world. ‍ Having such great solutions, we are looking for a highly motivated DevOps Engineer  to join our brave and brilliant Synerise Team. See if you fit our diverse and dynamic environment, where we constantly evolve together with the growth of our clients. ‍ What will you do on a daily basis? Maintain and develop production infrastructure for a large-scale, real-time multi-tenant platform. Work closely with backend engineers to support reliability, scalability, and availability of services. Implement and improve automation for deployments, infrastructure provisioning, and operational tasks. Participate in incident handling, root cause analysis, and post-incident improvements. Take responsibility of designing new infrastructure solutions and initiatives. What will make us a perfect match? Experience working with production systems in cloud environments (Azure preferred). Good understanding of Linux systems and basic networking concepts. Familiarity with CI/CD pipelines and Infrastructure as Code tools. Hands-on experience with Kubernetes or container-based platforms. Willingness to take responsibility for the quality and stability of systems you work on. Practical, problem-solving mindset and openness to learning new technologies. Hands-on experience using AI coding (e.g., Claude Code, Cursor, GitHub Copilot) as part of daily software engineering work. What will convince us even more? Exposure to data-heavy or event-driven systems (e.g. Kafka, multi-terabyte databases). Basic knowledge of monitoring, alerting, and observability practices and tooling. Interest in system performance, reliability, or cloud cost efficiency. Awareness of security considerations in cloud and infrastructure environments. Exposure to infrastructure handling large traffic volumes and data throughput. What can we provide for you? Work on a production-grade product used by enterprise customers in the AI and big data domain. Opportunity to grow technically while working with real-world, distributed systems at scale. Support from experienced engineers and space to take on more responsibility over time. Influence on day-to-day technical decisions within your team. Fully remote work model.

🏢 Summary: The offer is for a Senior Node.js Engineer to design and develop scalable microservices in a high-traffic, AI-driven behavioral data platform. The role focuses on building REST APIs, working with PostgreSQL and Kafka, and ensuring code quality through testing and architectural collaboration. The position involves working in a modern stack within a Scrum team, contributing to distributed systems used at large scale. 🗂️ Requirements: 2–4 years of commercial experience with Node.js in production, Strong knowledge of TypeScript, Solid understanding of asynchronous programming (Promise, async/await, event loop, streams), Practical knowledge of REST, HTTP, JSON, OpenAPI, Experience with SQL, preferably PostgreSQL, Experience with ORM tools such as Sequelize, Experience writing unit and integration tests (Jest, Vitest or similar), Knowledge of clean code principles (DRY, KISS, SOLID), Proficient use of Git and code review workflow, Communicative written English 📃 Skills: Node.js, TypeScript, PostgreSQL, SQL, Sequelize, Kafka, REST, HTTP, JSON, OpenAPI, Jest, Vitest, Git, Docker, Kubernetes, GitLab, CI/CD, Python, Joi 🏢 Description: Synerise is not just another tech company. It is a space where our brilliant team consequently brings technology change to the business world and instead of following known paths, we are creating a new one – a next-generation, fully personalized, and AI-driven customer experience. We successfully deliver an all-in-one tool – Synerise. An ever-evolving behavioral data platform, enhanced by AI to generate outstanding ROI in more than 30 markets for industry leaders in Retail, Banking, eCommerce, Automotive, Insurance, and Telco, processing more than 150 billion transactions annually. However, we don’t limit ourselves solely to this solution. We’re building BaseModel – a foundation model for behavioral data embedded within a novel platform for enterprise Data Science teams, that is another step on our path to create innovation in AI and demonstrate its potential for the business world. Having such great solutions, we are looking for a highly motivated Senior Node.js Engineer to join our brave and brilliant Synerise Team. See if you fit our diverse and dynamic environment, where we constantly evolve together with the growth of our clients. What will you do on a daily basis? Develop and maintain microservices in Node.js + TypeScript. Design and implement REST APIs aligned with OpenAPI. Work with PostgreSQL — both via Sequelize (ORM) and in raw SQL when we need finer control over the query. Event-driven processing with Kafka. Write tests — unit, integration, and end-to-end (Vitest/Jest). Review code and discuss architecture and quality with the team. Co-author technical documentation and design decisions (RFCs, design docs). Operate in 2-week sprints in a Scrum model, working closely with a dedicated Product Owner. What will make us a perfect match? At least 5 years of commercial experience with Node.js in a production environment. Strong knowledge of TypeScript. Solid foundations in asynchronous programming (Promise, async/await, event loop, streams). Practical knowledge of REST/HTTP, JSON, OpenAPI. Experience with SQL (preferably PostgreSQL) and an ORM (Sequelize or similar). Experience writing tests (Jest, Vitest, or equivalent). The ability to write clean, well-organized code (DRY/KISS/SOLID). Confident use of Git and a merge-request / code-review workflow. Communicative English in writing (documentation, code, comments). What will convince us even more? Hands-on experience using AI coding (e.g., Claude Code, Cursor, GitHub Copilot) as part of daily software engineering work. Knowledge and experience with transactions and concurrent operations in PostgreSQL (or another relational database). Experience working with large datasets. Experience with Kafka or another message broker. Working with distributed systems and microservices in production. Familiarity with Docker and Kubernetes. Experience with CI/CD (e.g., GitLab CI). Basic knowledge of Python — for writing helper scripts. Schema validation (Joi) and safe error handling. Prior exposure to the CDP / loyalty domain. What can we provide for you? Work with a modern stack (Node.js, TypeScript, PostgreSQL, Kafka, Docker, Kubernetes) at real scale. Stack kept on current versions — we don't let applications drift into technical debt; we regularly modernize dependencies and tooling. Day-to-day support from AI agents (Claude Code, OpenAI tools) — treated as a standard part of our toolkit, not an experiment. Real impact on a product used by top clients in 30+ countries. Close cooperation with experienced engineers and a dedicated Product Owner. A clear rhythm of work: 2-week sprints, Scrum/Agile. A non-corporate atmosphere oriented around meritocracy — we reward thinking and quality, not hours behind a desk. Flexible working hours and no dress code.

🏢 Summary: Senior AI Software Engineer – Backend role focused on designing, building, and scaling production-grade AI backend services, including LLM integrations, RAG pipelines, and distributed cloud-native systems. The position emphasizes reliable, observable, and secure AI solutions deployed in AWS using modern backend and infrastructure practices. You will work in an Agile environment delivering scalable APIs, microservices, and AI-driven workflows for enterprise use cases. 🗂️ Requirements: Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or related field, 6+ years backend or software engineering experience, Hands-on experience delivering AI-enabled or data-intensive backend solutions, Proficiency in at least one backend language: Python, Java, Go, Kotlin, C#, or TypeScript, Strong experience building REST APIs, microservices, and distributed systems, Experience with Python backend frameworks such as FastAPI and async programming, Experience integrating LLMs or cloud AI services with orchestration layers, Knowledge of RAG, vector search, and semantic retrieval concepts, Experience with SQL and NoSQL databases, Experience with AWS cloud services and cloud-native architectures, Experience with Terraform or infrastructure-as-code tools, Experience with Git and Agile/Scrum methodologies, Knowledge of testing, monitoring, logging, and AI evaluation practices 📃 Skills: Python, Java, Go, Kotlin, C#, TypeScript, FastAPI, REST, Microservices, LLM, RAG, Vector, SQL, NoSQL, AWS, Terraform, Git, Scrum, Kubernetes, Docker, CI/CD, Async, Serverless, Containers 🏢 Description: YOUR CONTRIBUTION Our culture is agile and collaborative, and we genuinely believe our people are some of the best with which you’ll ever work. We are looking for a skilled and passionate Senior AI Software Engineer – Backend to join our Centre of Excellence and the SWE team to design, build and scale production-grade AI services, intelligent workflows, and backend platforms that create measurable business value. YOUR “DAY-TO-DAY”: Design, develop and operate production-grade AI backend services, APIs, and event-driven components with strong focus on scalability, reliability, latency, and cost efficiency. Build and integrate capabilities based on LLMs and other AI services, including prompt orchestration, structured outputs, tool calling, and workflow automation. Develop retrieval and knowledge integration patterns such as RAG, vector search, and metadata-driven content pipelines for enterprise use cases. Participate and support Agile methods and frameworks by taking part in planning events, daily stand-ups, code reviews, and technical discussions. Collaborate closely with product, platform, frontend, DevOps, security, and data stakeholders as a valued member of a self-managing, cross-functional SWE team. Implement robust observability, evaluation and guardrails for AI solutions, including logging, tracing, monitoring, feedback loops and incident troubleshooting. Manage and optimize scalable distributed systems on the Cloud, using secure-by-design and infrastructure-as-code practices. Develop automated tests and evaluation suites to validate backend logic, model behavior, regression scenarios, and non-functional requirements. Translate product and business needs into reliable technical designs, reusable services, and maintainable integration patterns. Continuously improve architecture, developer experience, and engineering standards by contributing to best practices, reviews, and technical mentorship within the Backend community. BACKGROUND AND QUALIFICATIONS: Bachelor's Degree or higher in Computer Science, Software Engineering, Data Engineering, or related field, with appropriate professional experience. Proven work experience as a Backend Engineer or Software Engineer for 6+ years, with hands-on delivery of AI-enabled or data-intensive backend solutions. Strong experience with Agile delivery frameworks such as Scrum and modern source code management practices using Git. Knowledge of AI engineering patterns such as agentic workflows, semantic caching, prompt/version management, and human-in-the-loop controls. Strong proficiency in one or more backend languages such as Python, Java, Go, Kotlin, C#, or TypeScript, with production experience building APIs and services. Solid experience designing and operating backend services, microservices, and distributed systems, including RESTful APIs, asynchronous processing, and messaging patterns. Hands-on experience with Python-based AI/backend frameworks and service development patterns, such as FastAPI, async programming, data validation, and structured outputs. Experience integrating foundation model or cloud AI services and building reliable orchestration layers for prompts, tools, and model interactions. Good knowledge of data access patterns and storage technologies, including SQL and NoSQL databases, caching, and vector databases or semantic retrieval concepts. Experience with AWS cloud services and cloud-native engineering practices, including serverless, containers, observability, and infrastructure automation. Experience with Terraform or other infrastructure-as-code tooling. Knowledge of AI solution quality practices, including testing strategies, evaluation, monitoring, security, privacy, and responsible-use guardrails. Knowledgeable about software architecture, design patterns, logging, monitoring, and performance optimization. Excellent analytical and time management skills, strong teamwork mindset, and a pragmatic problem-solving attitude. Passionate about software engineering, continuous learning, and the practical adoption of emerging AI technologies. ADDITIONAL EXPERIENCE PREFERRED OR HELPFUL: Experience with cloud AI platforms and managed model services, preferably in AWS environments. Experience with Kubernetes, Docker containers, and CI/CD pipelines for deploying and operating AI-enabled services. Experience with product and collaboration tools such as Jira and Confluence. Summary: Senior AI Software Engineer – Backend Role in a nutshell: A senior backend engineer focused on building and scaling production-grade AI services — think LLM integrations, RAG pipelines, agentic workflows, and cloud infrastructure — within a collaborative, cross-functional team. Experience needed: 6+ years in backend/software engineering, with hands-on AI or data-intensive delivery. Must-have tech: Python (FastAPI, async), REST APIs, microservices, Terraform, AWS, SQL/NoSQL/vector databases, Git, Agile/Scrum. Nice to have: Kubernetes, Docker, CI/CD, Terraform, Jira/Confluence. Key soft skills: Strong communicator, team player, pragmatic problem-solver, passionate about AI and continuous learning. Degree: Computer Science, Software Engineering, or related field. The right candidate is someone who bridges solid backend engineering fundamentals with practical AI delivery experience — not just a data scientist or ML researcher, but an engineer who ships reliable, observable AI products in production.

🏢 Summary: Senior Backend Engineer role focused on designing and building scalable serverless middleware services for digital ordering, payments, loyalty, and third-party integrations on a major consumer platform using AWS and Node.js/TypeScript. The position emphasizes event-driven architecture, infrastructure as code, secure authentication, and active use of AI-assisted development tools. It involves API development at scale, cloud-native deployments, and collaboration on high-quality, secure backend systems. 🗂️ Requirements: 4+ years of backend development experience, Experience building and operating RESTful and/or GraphQL APIs at scale, Proficiency in JavaScript or TypeScript, Experience with serverless architectures on AWS (Lambda, API Gateway, DynamoDB, SQS/SNS), Experience with CI/CD pipelines and Git-based source control workflows, Familiarity with Infrastructure as Code (Terraform or CloudFormation), Understanding of event-driven architecture, webhooks, async messaging, pub/sub, Experience integrating with third-party and vendor APIs, Strong debugging and production incident management skills, Upper-intermediate English level 📃 Skills: JavaScript, TypeScript, Node.js, AWS, Lambda, API Gateway, DynamoDB, SQS, SNS, Terraform, CloudFormation, Git, GitHub, Azure, REST, GraphQL, Cognito, OAuth2, OpenID, Datadog, Dynatrace, CloudWatch, Akamai, CloudFront, CI/CD 🏢 Description: ID72455 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Senior Backend Engineer to design and build scalable middleware services powering digital ordering, payments, loyalty, and third-party integrations across a major consumer platform. You will develop serverless applications using AWS Lambda and API Gateway, build Node.js/TypeScript microservices, design event-driven architectures with SQS/SNS, and implement infrastructure as code with Terraform. The role includes active use of AI-assisted development tools as a core part of the daily engineering workflow. What you will do Develop serverless applications using AWS Lambda and API Gateway; Build and maintain Node.js/TypeScript microservices; Design event-driven architectures using SQS/SNS; Build infrastructure as code using Terraform; Leverage AI-assisted development tools (GitHub Copilot, Claude, and similar) as a core part of daily engineering work — from code generation and refactoring to test coverage and documentation. Champion AI tooling adoption across the team; Create integrations with delivery providers and payment platforms; Collaborate with business stakeholders and product teams to understand functional and technical requirements; translate those into scalable, maintainable architecture and implementation plans; Conduct constructive code reviews and provide technical design guidance to peers and junior engineers, raising the overall quality and consistency of team output; Enforce data governance, security policies, and compliance standards throughout the software development lifecycle; Implement secure authentication and identity flows using Amazon Cognito. Must haves 4+ years of backend development experience ; Demonstrated experience building and operating RESTful and/or GraphQL APIs at scale; Strong proficiency in one or more of: JavaScript/TypeScript (Node.js, Java, or C#) ; Experience with serverless architectures on AWS ( Lambda , API Gateway , DynamoDB , SQS/SNS ); Demonstrated experience building and operating RESTful and/or GraphQL APIs at scale; Experience with CI/CD pipelines and source control workflows (Git, GitHub Actions, Azure DevOps); Familiarity with Infrastructure as Code ( Terraform or CloudFormation); Solid understanding of integration patterns: event-driven architecture, webhooks, async messaging, and pub/sub; Experience integrating with third-party platforms and vendor APIs (e.g., delivery aggregators, POS systems, loyalty platforms, or similar ecosystem partners); Ability to translate ambiguous business requirements into clear technical specifications; Collaborative mindset with a willingness to give and receive candid code review feedback; Strong debugging, root-cause analysis, and production incident management skills. Upper-intermediate English level. Nice to haves DoorDash, Uber Eats, or similar delivery integrations; Payment platform integrations; Restaurant, retail, or QSR experience; Amazon Cognito expertise; Experience with multi-region AWS deployments and global traffic management (Akamai, CloudFront); Familiarity with identity and authentication patterns: OAuth 2.0, OpenID Connect, AWS Cognito; Hands-on experience with observability platforms (Dynatrace, Datadog, CloudWatch); Experience prompting, fine-tuning, or orchestrating LLMs/AI agents as part of a software delivery workflow; Experience in QSR, retail, or e-commerce domains; AWS Certified Developer – Associate or higher; Exposure to React Native or cross-platform mobile app integration patterns. The benefits of joining us Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!

🏢 Summary: Senior Backend Engineer role focused on building and scaling backend systems for an AI-driven product that transforms complex government data into actionable insights. The position involves designing data ingestion, processing pipelines, and distributed infrastructure from scratch, with full ownership from architecture to production. You will work closely with a small senior team to deliver scalable, production-ready systems. 🗂️ Requirements: 6+ years of Backend Engineering experience, Experience in JVM ecosystem, Experience in product companies (B2B SaaS preferred), Experience designing and owning backend systems in production, Strong knowledge of system design and scalability, Experience building asynchronous or distributed systems, Ability to make and justify technical decisions, Fluency in English, Valid work authorization in Europe or LATAM 📃 Skills: Kotlin, Java, JVM, SQL, GCP, Messaging, Queues, DistributedSystems, SystemDesign, DataPipelines, LLMs, AI 🏢 Description: About the role We’re looking for a Senior Backend Engineer to join our early team and help build our product from zero to one. You’ll work on a product that helps companies navigate complex government data, from contracts and grants to market signals and turn it into actionable insights using AI. On the backend side, this means working on data ingestion, processing, and the infrastructure that powers search and AI-driven workflows at scale. You’ll collaborate closely with a small, senior team and have real ownership, from shaping solutions to shipping them to production and improving them over time. You might be a fit if you: Must have: 6+ years of experience as a Backend Engineer, preferably in the JVM ecosystem (we use Kotlin on the backend) Experience working in product companies (B2B SaaS preferred) with direct impact on shipped features Experience working in small companies or startups would be a strong advantage Experience designing and owning backend systems in production (from initial design to deployment and ongoing improvements) Strong understanding of system design, including scalability, failure handling, and trade-offs Experience building asynchronous or distributed systems (e.g. messaging, queues, event-driven systems) Ability to make and justify technical decisions, not just implement given solutions Fluency in written and spoken English Nice to have: Experience with large-scale data processing, scraping, or data pipelines Experience working with LLMs / AI-related systems Experience with GCP or similar cloud environments How We Work Build Bridges to Help Customers Win - We pride ourselves on being obsessively customer-centric. Shooting Star Speed - We move with extreme speed. We value momentum, decisiveness, and the ability to accelerate when it matters. Fun Is a Feature - Fun is a Feature means we intentionally design Starbridge to be an energizing place to do hard work. Joy, humor, and camaraderie make great teams faster, sharper, and more resilient. In the Arena - We believe the best ideas come from living close to the work, feeling the friction, hearing the nuance, and experiencing the details firsthand. Benefits include: Competitive salary + early-stage equity Unlimited PTO Regular off-sites (NYC + global locations) Interview Process We move fast — really fast. Getting back to someone today beats tomorrow, and our interview process reflects that mindset. Please keep us posted on your timeline so we can move quickly and speed things up where needed. After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 30-minute interview during which a member of our team will make sure you're a good fit for the role. You will have the opportunity ask questions and learn more about the role as well. We'll then send you a programming challenge that consists of two parts: LeetCode and SQL. Beyond that step, you will enter the main process, which consists of three interviews: System design exercise hands-on. Live coding in Java/Kotlin. Product thinking and past work. All interviews will be conducted via Google Meet. Eligibility to Work in Europe or LATAM: Candidates must hold valid authorization to work in the country where they will be based. At this time, we are unable to offer visa sponsorship or assist with work permit applications.

🏢 Summary: Senior Backend Engineer role focused on architecting and building the core systems of a next-generation AdTech platform, designing high-throughput, low-latency services for campaign delivery, targeting, and attribution. The position involves defining system architecture from scratch, scaling distributed systems, and providing technical leadership in a fast-paced environment. Strong experience with scalable backend development and AdTech ecosystems is required. 🗂️ Requirements: 5+ years of experience building scalable backend systems, Experience in AdTech (DSPs, SSPs, ad exchanges, Prebid, Google Ad Manager, OpenRTB, etc.), Strong knowledge of algorithms, data structures, networking, and databases, Proven experience designing and scaling distributed systems, Experience with backend programming languages (Java, .NET, Python, Node.js), Ability to design high-throughput, low-latency systems, Upper-intermediate English level, Availability to work until 1pm EST, Experience mentoring engineers and driving architectural decisions 📃 Skills: Python, Django, Kubernetes, AWS, PostgreSQL, Java, .NET, Node.js, OpenRTB, Prebid.js, Prebid, GoogleAdManager, AmazonUAM, AmazonTAM, ETL 🏢 Description: ID52365 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Senior Backend Engineer to architect and build the core systems of a next-generation AdTech platform that embeds products directly into visual experiences. You will design high-throughput, low-latency services for campaign delivery, targeting, attribution, and partner integrations using Python, Django, Kubernetes, and AWS. This is an early-stage initiative where senior engineers define the technical direction and system architecture from the ground up. What you will do Architect, build, and evolve core systems for the Ads platform; Design APIs and services supporting campaign management, targeting, delivery, attribution, and reporting; Build and optimize high-throughput, low-latency systems processing large volumes of events and data; Own critical systems end-to-end, including design, implementation, deployment, monitoring, and ongoing improvements; Drive architectural decisions and establish patterns that support scalability, reliability, and developer productivity; Collaborate closely with product, data, and partner teams to translate business requirements into robust technical solutions; Provide technical leadership through design reviews, system discussions, and mentoring other engineers; Contribute to engineering best practices, documentation, and long-term platform vision; Participate in hiring and help grow a strong, high-performing team. Must haves 5 years of software development experience building scalable systems (backend programming languages/frameworks, e.g. Java , .NET , Python , Node.js etc); Experience with AdTech (This may include experience with DSPs, SSPs, ad exchanges, affiliate programs, Prebid.js, Prebid Server, Google Ad Manager, Amazon UAM/TAM, OpenRTB, identity and addressability solutions, as well as ad operations workflows); Deep understanding of computer science fundamentals (algorithms, data structures, networking, databases); Proven experience designing and scaling distributed systems focusing on performance, observability, and fault tolerance; Strong architectural instincts and the ability to make high-leverage technical decisions that impact multiple teams and systems; Demonstrated ability to influence and mentor senior engineers, guide teams through ambiguity, and elevate engineering practices across the board; Exceptional ownership mindset — you drive initiatives forward, raise the bar, and deliver lasting impact; Excellent communication and cross-functional collaboration skills; Availability to work till 1pm EST (till 8 pm Kyiv time) ; Comfortable operating in a fast-paced, high-autonomy, product-driven environment; Experience with e-commerce and catalog management is preferred; Familiarity with Python , Django , Kubernetes , PostgreSQL , and AWS is strongly preferred, but deep expertise in analogous systems and a willingness to learn are welcome; Upper-intermediate English level. Nice to haves Strong experience with complex ETL flows and high-throughput systems is highly preferred. The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!

🏢 Summary: Senior Backend Engineer role focused on transforming a mission-critical e-commerce domain supporting subscriptions and purchasing journeys for millions of users. The position centers on migrating a monolithic system to scalable microservices, improving performance and reliability, and shaping the future architecture of a global platform. Engineers will work with event-driven systems and modern AI tools while owning solutions end-to-end. 🗂️ Requirements: 5+ years of professional backend engineering experience, Strong experience designing and operating microservices architectures, Experience modernising legacy systems and decomposing monoliths, Solid understanding of distributed systems and scalable backend design, Commercial experience with Go, Java, Kotlin or Scala, Hands-on experience with Kafka or similar event-streaming technologies, Hands-on experience with PostgreSQL, Hands-on experience with Docker and Kubernetes, Experience with CI/CD pipelines, Practical experience using AI coding assistants (Claude Code, Cursor, Copilot or similar), Ability to review and validate AI-generated code, Comfortable owning solutions from idea to production 📃 Skills: Go, Golang, Java, Kotlin, Scala, Kafka, PostgreSQL, Docker, Kubernetes, CI/CD, GraphQL, DDD, TDD, BDD, Microservices 🏢 Description: Join a global e-commerce technology organisation serving millions of customers across multiple international markets. As a Senior Backend Engineer, you will become part of a team responsible for one of the company's most critical customer-facing domains. The platform supports customer subscriptions, plans, and purchasing journeys used daily by millions of users. This is not a maintenance role. The team is actively transforming a mission-critical domain, modernising legacy systems, reducing technical debt, and building the next generation of scalable services that will support future growth. You will play a key role in migrating core functionality from a monolithic architecture to modern microservices while helping shape the future architecture of a global platform. What You'll Do Build & Scale Core Services Design, develop, and maintain scalable backend services within a distributed microservices architecture. Build reliable systems supporting millions of customer interactions. Improve performance, reliability, and scalability across critical customer-facing services. Drive Modernisation Lead the migration of key business domains from monolithic systems to modern microservices. Reduce technical debt and improve long-term maintainability. Design solutions that support future platform growth. Shape Architecture Participate in architecture discussions and technical decision-making. Design orchestration layers supporting complex customer journeys and business processes. Help define engineering standards and best practices. Work with Event-Driven Systems Build and operate services powered by event-driven architectures. Work extensively with Kafka and real-time lifecycle events. Design resilient and observable distributed systems. Raise Engineering Standards Conduct code reviews and support other engineers through technical guidance. Promote best practices across software development, testing, deployment, and observability. Contribute to a strong culture of ownership and continuous improvement. AI-Powered Engineering Use modern AI tools and coding agents throughout the software development lifecycle. Leverage AI for onboarding, architecture exploration, implementation, testing, debugging, and productivity improvements. Apply engineering judgement to validate, verify, and safely integrate AI-generated outputs. What We're Looking For Backend Engineering Expertise 5+ years of professional backend engineering experience. Strong experience designing and operating microservices architectures. Experience modernising legacy systems and decomposing monoliths. Solid understanding of distributed systems and scalable backend design. Technical Stack Commercial experience with Go (Golang), Java, Kotlin or Scala Engineers coming from a JVM background should be open to working in a Go-driven environment. Hands-on experience with: Kafka or similar event-streaming technologies PostgreSQL Docker Kubernetes CI/CD pipelines Product & Ownership Mindset Comfortable owning solutions from idea through production. Strong problem-solving skills and ability to make technical trade-offs. Experience collaborating with product, business, and engineering stakeholders. AI Fluency Practical experience using AI coding assistants such as Claude Code, Cursor, Copilot, or similar tools. Understanding of how context, prompts, constraints, and validation influence AI-generated outputs. Ability to critically review and verify AI-generated solutions. Nice to Have Experience with subscription-based products. Experience in e-commerce environments. GraphQL knowledge. Familiarity with DDD, TDD, and BDD practices. What We Offer Opportunity to build systems used by millions of customers globally. High-impact engineering work with significant architectural ownership. International collaboration across distributed engineering teams. End-to-end ownership from idea to production. Hybrid working model (3 days per week in the Warsaw office). B2B cooperation model. 30 days of paid annual leave. Modern office located in Warsaw city centre. Continuous learning and professional growth opportunities.

🏢 Summary: Senior Backend Engineer role to architect and build the core systems of a next-generation AdTech platform, focusing on high-throughput, low-latency services for campaign delivery, targeting, and attribution. The position involves defining system architecture from the ground up using Python, Django, Kubernetes, and AWS in a distributed, scalable environment. Engineers will drive technical direction, optimize performance, and provide leadership in a fast-paced, product-driven setting. 🗂️ Requirements: 5+ years of software development experience building scalable backend systems, Strong knowledge of algorithms, data structures, networking, and databases, Proven experience designing and scaling distributed systems, Experience with backend programming languages (e.g. Java, .NET, Python, Node.js), Ability to design high-throughput, low-latency systems, Experience with system architecture and technical decision-making, Availability to work until 1pm EST, Upper-intermediate English level 📃 Skills: Python, Django, Kubernetes, AWS, PostgreSQL, Java, .NET, Node.js, ETL, OpenRTB, Prebid.js, GoogleAdManager, AmazonUAM, DSP, SSP 🏢 Description: ID68432 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Senior Backend Engineer to architect and build the core systems of a next-generation AdTech platform that embeds products directly into visual experiences. You will design high-throughput, low-latency services for campaign delivery, targeting, attribution, and partner integrations using Python, Django, Kubernetes, and AWS. This is an early-stage initiative where senior engineers define the technical direction and system architecture from the ground up. What you will do Architect, build, and evolve core systems for the Ads platform; Design APIs and services supporting campaign management, targeting, delivery, attribution, and reporting; Build and optimize high-throughput, low-latency systems processing large volumes of events and data; Own critical systems end-to-end, including design, implementation, deployment, monitoring, and ongoing improvements; Drive architectural decisions and establish patterns that support scalability, reliability, and developer productivity; Collaborate closely with product, data, and partner teams to translate business requirements into robust technical solutions; Provide technical leadership through design reviews, system discussions, and mentoring other engineers; Contribute to engineering best practices, documentation, and long-term platform vision; Participate in hiring and help grow a strong, high-performing team. Must haves 5 years of software development experience building scalable systems using backend programming languages/frameworks (e.g. Java , .NET , Python , Node.js , etc); Deep understanding of computer science fundamentals, including algorithms, data structures, networking, and databases; Proven experience designing and scaling distributed systems with a focus on performance, observability, and fault tolerance; Strong architectural instincts and the ability to make high-leverage technical decisions that impact multiple teams and systems; Demonstrated ability to influence and mentor senior engineers, guide teams through ambiguity, and elevate engineering practices across the board; Exceptional ownership mindset; Availability to work till 1pm EST (till 8 pm Kyiv time) ; Excellent communication and cross-functional collaboration skills; Comfortable operating in a fast-paced, high-autonomy, product-driven environment; Experience with e-commerce and catalog management is preferred; Familiarity with Python , Django , Kubernetes , PostgreSQL , and AWS is strongly preferred, but deep expertise in analogous systems and a willingness to learn are welcome; Upper-intermediate English level. Nice to haves Strong experience with complex ETL flows and high-throughput systems is highly preferred; Experience with AdTech (This may include experience with DSPs, SSPs, ad exchanges, affiliate programs, Prebid.js, Prebid Server, Google Ad Manager, Amazon UAM/TAM, OpenRTB, identity and addressability solutions, as well as ad operations workflows.) The benefits of joining us Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!