Staff Engineer

🏢 Summary: As a Senior Software Engineer in the Data Products department, you will build and scale high-performance data products and pipelines that power AI Search and ML models across multiple markets. The role focuses on designing Kafka-based data pipelines, managing ETL processes, and enhancing data infrastructure in a global, cross-functional environment. You will directly impact the evolution of data-driven recruitment solutions. 🗂️ Requirements: Proficiency in Java, Practical knowledge of Airflow or similar orchestration tools, Experience with Kafka (MSK), Strong knowledge of SQL, Experience with Big Data, Experience with Data Warehousing, Experience with ETL, English proficiency at B2 level or higher 📃 Skills: Java, Kafka, MSK, Airflow, SQL, BigData, DataWarehousing, ETL, AWS, Glue, EMR, ECS, Docker, Redshift, DynamoDB, S3, Terraform 🏢 Description: Who we are At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to find a perfect match, in a fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring. At our Tech Hub, located near Wilanowska Metro, we are more than 300 ambitious specialists working on the development of our IT products. We are proud to be part of The Stepstone Group, a global expert in job-tech platforms and e-recruiting. Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the world’s leading job-tech platform. Job Description The job at a glance As a Senior Software Engineer, you’ll be responsible for building innovative data products that help recruiters find the right talent. You will design and implement high-performance applications using Kafka, while collaborating with cross-functional international teams. Working in the Data Products department , your work will directly power AI Search and ML models across multiple markets. This is so important to us. By joining our team, you will play a vital role in reshaping the labour market, helping it work for everyone, regardless of background. Your responsibilities Build and evolve data products that serve as the backbone for job listing data across Stepstone’s global platform Design and implement high-performance data pipelines using Kafka Collaborate with cross-functional teams to deliver impactful data engineering solutions Manage and improve ETL pipelines and data orchestration across a rich ecosystem of data sources Continuously improve and scale our data infrastructure to support a growing number of use cases and markets Qualifications Your skills and qualifications Proficiency in coding with Java Practical knowledge of Airflow or similar orchestration tools Experience working with Kafka (MSK) Strong knowledge of SQL Experience with Big Data, Data Warehousing, and ETL Nice to have / you may also bring: Experience with AWS services (e.g. Glue, EMR, ECS with Docker, Redshift, DynamoDB, S3) Familiarity with Infrastructure as Code tools such as Terraform Strong communication skills in English (B2+ level) A passion for data-driven solutions that make a real impact 👉 You don’t need to meet every requirement to apply — we’re happy to support your growth in areas that are new to you. Additional Information Your benefits We’re a community here that cares as much about your life outside work as how you feel when you’re with us. Because your job shouldn’t take over your life, it should enrich it. Here are some of the benefits we offer: Premium medical and dental care Life insurance Flex Benefits – Worksmile Cafeteria System (Multisport, vouchers, tickets, etc.) Employee Referral Program Hackathons, Knowledge Sharing Hours, in-house projects Tech and sport communities Events and integration parties Charity initiatives, 2 extra volunteer days English/German classes Game room and chillout zone Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, or any other characteristic.

🏢 Summary: The role focuses on integrating security tools with DevOps pipelines and cloud infrastructure while leveraging AI coding agents and Model Context Protocol (MCP) to automate workflows and enhance security governance. You will build backend integrations, APIs, and cloud-based applications to support SOC, GRC, and AppSec teams, embedding security into CI/CD and Infrastructure as Code. The position combines DevSecOps, AI-driven automation, and security data engineering to deliver intelligent reporting and secure development processes. 🗂️ Requirements: Experience integrating security tools with DevOps pipelines, Hands-on experience with AI coding agents and MCP or similar LLM tool-integration frameworks, Strong knowledge of AWS and Azure cloud platforms, Experience with container orchestration technologies, Proficiency in Python and Bash scripting, Experience implementing Infrastructure as Code using Terraform or CloudFormation, Ability to build security dashboards and reporting solutions, Experience collaborating with SOC, GRC, and AppSec teams 📃 Skills: Python, Go, Bash, PowerShell, Java, Terraform, CloudFormation, AWS, Azure, GitHub, Bamboo, Bitbucket, MCP, Grafana, Kibana, WIZ, SentinelOne, Obsidian, CI/CD, DevSecOps, IaC, Docker, Kubernetes 🏢 Description: Who we are At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to find a perfect match, in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring. At our Tech Hub, located near Wilanowska Metro, we are here as more than 300 ambitious specialists who work on the development of our IT products. We are proud to be part of The Stepstone Group, a global expert in job-tech platforms and e-recruiting. Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the world’s leading job-tech platform. Job Description Join our team and you’ll be responsible for integrating security tools with our technology stack and CI/CD pipelines, while leveraging AI coding agents and the Model Context Protocol (MCP) to automate workflows and accelerate development. Working in the Security Engineering / DevSecOps department you will support SOC, GRC, and AppSec teams by building intelligent integrations, automating security data processing, and delivering insightful reporting dashboards. This is so important to us. By joining our team, you will be playing a vital role as together we reimagine the labour market to make it work for everybody. Your Responsibilities Develop, optimize, and maintain backend integrations using modern scripting languages and AI coding agents to accelerate delivery and prototyping. Design and implement APIs and cloud-based applications for the GRC department, including building and maintaining MCP servers/tools that securely expose internal security data and APIs to AI agents. Integrate security solutions into CI/CD pipelines to enhance governance, ensuring AI-generated code is automatically scanned and validated. Leverage data to support IT-GRC risk reporting, using AI agents to parse and structure complex security logs. Collaborate with cross-functional teams to ensure seamless integration and continuous improvement across platforms and workflows. Implement Infrastructure as Code (IaC) using Terraform and AWS CloudFormation, contributing to internal modules and embedding security-by-design principles into AI-driven templates and automation. Qualifications Strong experience integrating security tooling with DevOps pipelines and infrastructure automation, including collaboration with SOC, GRC, and AppSec teams to deliver automated workflows and reporting. Experience working alongside AI coding agents and familiarity with the Model Context Protocol (MCP) or similar frameworks for extending LLM capabilities with external tools and data sources. Solid knowledge of cloud platforms (AWS, Azure) and container orchestration technologies. Proficiency in scripting languages such as Python and Bash for automating tasks, processes, and building security data pipelines. Experience building dashboards and reports for security data visualization and metrics, with the ability to operate effectively in fast-paced, ambiguous environments. Additional Information Technology Stack 💻 AI & Tooling: AI Coding Agents , Model Context Protocol (MCP) ecosystems Languages: Python / Go / Bash / PowerShell / Java Infrastructure: Terraform CI/CD: GitHub / Bamboo / Bitbucket Cloud: AWS / Azure Security: WIZ, SentinelOne, Obsidian, etc. Observability: Grafana / Kibana Your benefits We’re a community here that cares as much about your life outside work as how you feel when you’re with us. Because your job shouldn’t take over your life, it should enrich it. Here are some of the benefits we offer: Premium medical and dental care Life insurance Flex Benefits - Worksmile Cafeteria System (Multisport, vouchers, tickets etc.) Employee Referral Program Hackathons, Knowledge Sharing Hours, In-house projects Tech and sport communities Events and integration parties Charity initiatives, 2 extra volunteer days English/German classes Game room and chillout zone Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic.

🏢 Summary: Backend Engineer role in Team Mélange focused on building and operating AI- and rule-based parsing and normalization services that transform unstructured job and CV data into structured signals. The position involves developing scalable backend systems and event-driven data pipelines consumed as APIs across the organization. You will own services end-to-end, ensuring quality, reliability, and continuous improvement. 🗂️ Requirements: Proficiency in Java and/or Python, Experience with backend service and API development, Knowledge of distributed systems, Experience with event-driven architectures, Experience with Kafka, Ability to design, test, deploy, and monitor services, Experience with automated testing 📃 Skills: Java, Python, Kafka, APIs, Microservices, DistributedSystems, EventDrivenArchitecture, AutomatedTesting 🏢 Description: Company Description At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to find a perfect match, in a fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring. At our Tech Hub, located near Wilanowska Metro, we are more than 300 ambitious specialists working on the development of our IT products. We are proud to be part of The Stepstone Group, a global expert in job-tech platforms and e-recruiting. Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the world’s leading job-tech platform. Job Description The job at a glance Team Mélange builds AI- and rule-based parsing and normalization solutions that turn unstructured job and CV data into structured signals used across the Stepstone marketplace. Our services are consumed as APIs by teams across the organisation. Join our team and you’ll help build, scale, and operate these services. Working in the Mélange team you will contribute to backend systems that power data processing across the organisation, working closely with engineers across multiple domains. This is so important to us. By joining our team, you will play a vital role as we reimagine the labour market to make it work for everybody. Your responsibilities Build and maintain backend services and APIs using Java and Python Work on event-driven data pipelines based on Kafka Take ownership of services end-to-end: design, testing, deployment, monitoring, and iteration Ensure code quality, including writing and maintaining automated tests Collaborate with Software Engineers, ML Engineers, and a Product Manager in a distributed, international team Qualifications Your skills and qualifications You write clean, testable backend code in Java and/or Python You are comfortable working with distributed systems and event-driven architectures (or willing to grow in this area) You take ownership of services across their full lifecycle You care about code quality, including automated testing You have a pragmatic mindset and focus on delivering working solutions 👉 You don’t need to tick every box to apply – we value different perspectives and are happy to support your growth in areas that are new to you. Additional Information Software/Hardware Mac/Dell laptop Windows/macOS system 2 monitors (24", 27", or 32") Adjustable desks Slack + Teams Atlassian tools: JIRA, Confluence Your benefits We’re a community that cares as much about your life outside work as how you feel when you’re with us. Because your job shouldn’t take over your life — it should enrich it. Here are some of the benefits we offer: Premium medical and dental care Life insurance Flex Benefits – Worksmile Cafeteria System (Multisport, vouchers, tickets, etc.) Employee Referral Program Hackathons, Knowledge Sharing Hours, In-house projects Tech and sport communities Events and integration parties Charity initiatives and 2 extra volunteer days English/German classes Game room and chillout zone Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic.

🏢 Summary: Lead Distributed Data Platform Engineer responsible for architecting and delivering enterprise-scale lakehouse and distributed data platforms to enable advanced analytics and reporting. The role combines hands-on technical leadership with team mentorship, driving scalable, secure, and high-performance data solutions in cloud-native environments. You will guide architectural decisions, enforce engineering best practices, and ensure platform reliability at scale. 🗂️ Requirements: Proven experience leading data engineering or platform teams, Strong programming skills in Python, Strong programming skills in SQL, Hands-on experience with Apache Spark in production, Experience with Delta Lake and/or Apache Iceberg in production, Experience designing distributed systems and lakehouse architectures, Experience building scalable data pipelines, Knowledge of CI/CD and automated testing practices, Experience with Kubernetes and Docker, Experience working in cloud-native environments 📃 Skills: Python, SQL, Spark, Delta, Iceberg, dbt, Databricks, Snowflake, Kubernetes, Docker, CI/CD, Java, Scala, Rust 🏢 Description: ABOUT THE COMPANY We are a global legal technology company that has been building software for the legal industry for over two decades. Our AI-powered cloud platform is used by leading law firms, Fortune 500 corporations, and government agencies worldwide to organise complex data, surface critical insights, and act on them — across litigation, investigations, regulatory inquiries, and data breach response. We're valued at $3.6 billion and invest over $170 million annually in R&D. We're making substantial investments in data lake technology and distributed systems to support future growth and advanced analytics. Our scale means the data problems here are genuinely hard — and the platform you lead will underpin how the entire organisation accesses and acts on its data. ABOUT THE ROLE We're building a specialised team focused on enabling advanced analytics and reporting capabilities across our internal data ecosystem. As Lead Distributed Data Platform Engineer, you'll combine deep technical expertise with hands-on team leadership — guiding a team in designing and maintaining data platforms that integrate modern lakehouse technologies, distributed compute frameworks, and cloud-native services at enterprise scale. You'll lead architectural decisions, mentor engineers, and ensure delivery of secure, reliable, and scalable solutions. The role emphasises technical leadership, governance best practices, and a culture of innovation and continuous improvement. You'll also participate in on-call rotations as part of shared team responsibility for platform reliability. WHAT YOU'LL WORK ON Team leadership and mentorship Lead and mentor a team of data platform engineers, promoting collaboration, knowledge sharing, and professional growth. Set and maintain high engineering standards across the team. Distributed systems architecture Drive architectural decisions for distributed systems and lakehouse platforms using Spark, Delta Lake, and Iceberg. Facilitate architecture reviews and contribute to design decisions for fault-tolerant, future-ready systems. Data pipeline and platform delivery Oversee design and implementation of scalable data pipelines and analytics workflows, ensuring they are reliable, performant, and maintainable at scale. Engineering best practices Ensure adherence to clean code, modular design, CI/CD, automated testing, and code review standards across all platform engineering work. Performance and cost optimisation Manage performance tuning, scalability strategies, and cost optimisation across cloud-native environments and large-scale distributed workloads. Governance and observability Champion governance, observability, and compliance frameworks across all data platforms — ensuring data remains accessible, secure, and auditable. Stakeholder communication Communicate effectively with leadership and cross-functional teams to provide updates, resolve blockers, and ensure delivery aligns with business objectives and analytics needs. WHAT WE LOOK FOR Proven technical team leadership Demonstrated experience leading data engineering or platform development teams — mentoring engineers, owning architectural decisions, and driving delivery outcomes. Python and SQL Strong programming skills in both Python and SQL applied to production data platform work at scale. Apache Spark Hands-on experience with Spark for distributed data processing, including performance tuning and optimisation in production environments. Lakehouse architecture Expertise in Delta Lake and/or Apache Iceberg. You understand the trade-offs and have applied these technologies in production at scale. Analytics tooling Familiarity with dbt, Databricks, and Snowflake for analytics workflows and large-scale data processing. Software engineering fundamentals Solid understanding of software engineering principles — CI/CD, automated testing, clean code, and modular design applied to data platform systems. Infrastructure and containerisation Familiarity with Kubernetes, Docker, and infrastructure-as-code tools in cloud-native environments. Communication and stakeholder management Strong communication skills with the confidence to operate across engineering teams, cross-functional partners, and senior leadership. Bonus Exposure to event-driven architectures and advanced analytics platforms. Experience enabling self-service analytics for internal stakeholders. Experience in Java, Scala, or Rust. Exposure to service mesh and advanced orchestration patterns. THE TEAM You'll join a global engineering organisation working on a platform used by some of the world's largest legal teams. The culture is diverse, inclusive, and driven by high standards. Engineers here work on genuinely complex technical problems at scale — and are supported with the coaching, development, and tooling to keep growing. COMPENSATION & BENEFITS Salary 270,000 – 406,000 PLN per year, plus an annual performance bonus and long-term incentives. Health coverage Comprehensive health, dental, and vision plans. Parental leave Parental leave available for both primary and secondary caregivers. Flexible working Flexible work arrangements with a remote-first model. Company breaks Two week-long company-wide breaks per year, plus additional time off. Training investment Dedicated training investment programme to support ongoing professional development.

🏢 Summary: Remote role focused on building scalable data pipelines and AI-driven solutions for datacenter development planning systems. The position involves integrating multiple data sources, configuring AI agents, and delivering BI-ready outputs while collaborating directly with clients. It offers high autonomy and ownership across the full software development lifecycle. 🗂️ Requirements: 4+ years software development experience across full SDLC, 3+ years hands-on experience with Java, Strong SQL skills, Experience working with databases, Practical experience developing or configuring AI Agents, Experience in system integration, Client-facing communication experience in English, Ability to design and implement architecture solutions 📃 Skills: Java, SQL, Databases, AI, ETL, GCP, Python, BI 🏢 Description: Are you passionate about building scalable, high-performance platforms that power the next generation of data-driven applications? Join our dynamic team working on mission-critical software systems for Datacenter development planning - all in a fully remote work environment . We manage complex supply timelines and supplier relationships, delivering solutions that make a real impact for our clients. If you thrive in a modern, autonomous engineering environment and enjoy direct collaboration with stakeholders, we want to hear from you! If you're ready to make an impact in a dynamic environment, we want to hear from you! Responsibilities Build robust data pipelines integrating information from multiple data sources Configure and develop AI Agents to process and analyze data efficiently Transform and optimize agent outputs into BI-friendly formats for business intelligence use Communicate directly with clients on a daily basis to gather requirements and provide updates Propose and implement design and architecture solutions for your deliverables Collaborate with world-class engineers, architects, and product managers Focus on development activities in an environment with minimal meetings and high autonomy Requirements 4+ years of experience in software development and integration across the full system implementation lifecycle (analyze, design, implement, build, test, support) 3+ years of hands-on experience with Java Strong SQL skills and experience working with databases Practical experience in developing or configuring AI Agents Excellent English communication skills, with proven experience in client-facing roles Strong self-management and prioritization abilities Nice to have Experience with Google Cloud Platform (GCP) Python programming skills ETL (Extract, Transform, Load) experience Familiarity with Agent Development Kit We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: Leadership role to build and scale a 0→1 ML/AI platform enabling large-scale model training and inference across the organization. The position drives technical vision, roadmap, and organizational structure while overseeing multiple teams and managers. It covers the full AI lifecycle, from training and serving to deployment and monitoring, using open-source tooling. 🗂️ Requirements: Experience building 0→1 ML/AI platforms, Hands-on experience with open-source ML infrastructure (e.g., Ray, AnyScale), Strong technical background in large-scale training and inference systems, Experience managing managers and leading multiple engineering teams, Proven record of delivering production-grade AI systems, Experience defining technical vision and roadmap for AI platforms, Experience supporting full AI lifecycle: training, serving, deployment, monitoring 📃 Skills: Python, Ray, AnyScale, ML, AI, OpenSource, Training, Inference, Deployment, Monitoring, Infrastructure, Platforms 🏢 Description: The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research. You’ll join a new and fast growing team that is critical to the future of Datadog. You will support building and scaling the team, help define our technical vision and help shape the roadmap. You will manage other managers and help define the future structure of our organization, participating in the recruitment of the future managers and ICs of the department. You’ll work closely with partner teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org, product engineering teams, and Datadog infrastructure & tooling teams to build out systems from the ground up. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Lead a fast-growing organization around 20 people across 2 teams soon to be 3. You will define the roadmap for your scope and work with ICs and managers to establish the technical direction Collaborate with the engineering team and product manager to define the future of the roadmap Create a strong organizational culture centered around our engineering standards and customer- focused approach Support the whole lifecycle of AI development, including model training, serving, deployment and monitoring Who You Are: You’ve led teams that have built 0 to 1 ML/AI Platforms, with an emphasis on Open Source Tooling (i.e. Ray / AnyScale), versus pure out-of-the-box solutions. An experienced engineer and team player with strong technical skills to influence the technical direction of your teams A people leader with strong interpersonal skills, who has built and led high-performing software engineering teams, including managing managers Interested in working on an early stage project with many challenges to solve and a fast iteration cycle. You bring a strong bias for delivery and make impact through ambiguity. You have a track record of delivering high-quality software on schedule and collaborating closely with product partners. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our Internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$234,000—$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, platform reliability, and cloud-native data infrastructure to improve performance, scalability, and observability of global data ecosystems. Hybrid work model with competitive salary and comprehensive benefits. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend engineering skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience in cloud environments (AWS preferred), Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven or streaming architectures, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable and reliable data systems 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, cloud-native infrastructure, and data platform reliability to improve performance and scalability of global data systems. It is a hands-on role working with large-scale data pipelines, streaming, and cloud environments. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend programming skills in Python, Java, or Kotlin, Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience with cloud environments, preferably AWS, Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven architectures or streaming systems, Understanding of end-to-end data flow and data modeling, Experience designing scalable and reliable data systems, Experience with infrastructure automation tools 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, cloud-native infrastructure, and data platform reliability to support global, data-intensive applications. The engineer will enhance performance, scalability, and observability of production datastores across a multi-region environment. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend programming skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience with cloud environments, preferably AWS, Hands-on experience with relational or NoSQL databases, Experience with large-scale data pipelines and data processing systems, Experience with event-driven architectures or streaming/batch processing, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable, high-performance, reliable data systems 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Technical role supporting AI and DevOps platforms, focused on ensuring stability, reliability, and performance of critical services across the organization. The position involves incident management, platform resilience, automation, and observability in collaboration with SRE, engineering, and support teams. The engineer contributes to operational excellence, platform enhancements, and continuous improvement of cloud-native environments. 🗂️ Requirements: 6-8 years experience in technical support, platform operations, or engineering, Experience supporting IT services, infrastructure, or platform operations, Hands-on experience with incident management and root cause analysis, Experience with cloud-native platforms and container orchestration, Experience with CI/CD pipelines and DevOps practices, Experience with monitoring and observability tools, Knowledge of databases such as Postgres or MongoDB, Programming or scripting experience in Java, Python, or Go, Understanding of architecture concepts and system design, Experience with resilience testing and disaster recovery activities 📃 Skills: OpenShift, Kubernetes, ECS, CI/CD, Prometheus, Grafana, Splunk, Postgres, MongoDB, Java, Python, Go, AI, DevOps, SRE 🏢 Description: Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries, operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning, and flexibility with potential hybrid work opportunities. Help solve real‑world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. We are seeking a motivated team member to support our AI and DevOps Platform Support team in North America. This role is responsible for assisting in the stability, reliability, and performance of our critical AI and DevOps platforms. The team supports a wide range of services, including multiple AI applications, developer tools, and CI/CD pipeline technologies used across the organization. The ideal candidate will work closely with SRE and Support engineers to resolve incidents, address platform issues, and collaborate with engineering and development teams to enhance platform supportability. The role includes coordinating daily operational activities and contributing to short‑term planning. Responsibilities: Collaborative Application Support: Provides application support by partnering with vendors, offshore managed services, and internal development and engineering teams to ensure platform stability and operational readiness. Service Level Improvement: Actively supports efforts to improve service levels by participating in incident management, problem resolution (RCA), and knowledge-sharing initiatives. Platform Resilience and Testing: Assists in resilience-related activities, including incident simulations, disaster recovery exercises, and platform readiness testing to ensure business continuity. Automation and Efficiency: Supports automation efforts designed to reduce manual tasks, improve operational efficiency, and contribute to cost-saving initiatives. Monitoring and Observability: Helps maintain platform health by supporting observability practices, including monitoring, logging, tracing, and alerting for proactive issue identification. Platform Onboarding and Enhancement: Assists with application onboarding activities and contributes to platform enhancement initiatives in partnership with engineering and support leads. Data Collection for Planning: Helps collect and track capacity, performance, and latency data to support platform planning efforts and prepare materials for business review meetings. Troubleshooting and Incident Response: Maintains a practical understanding of platform components (like OpenShift, ECS, CI/CD) to effectively support troubleshooting and incident response activities. Qualifications: Experience: 6-8 years of relevant experience in technical support, platform operations, or engineering. Core Expertise: Demonstrated experience supporting IT services, platform operations, or infrastructure, with participation in resilience and stability-focused activities. Architectural Acumen: Exposure to architecture concepts with the ability to contribute to technical discussions and understand design decisions. Collaboration and Communication: Strong communication skills and a proven ability to collaborate effectively with business partners, engineering teams, and other cross-functional stakeholders. Cloud-Native & DevOps Tooling (Preferred): Experience with Red Hat OpenShift/Kubernetes, CI/CD tools, and modern observability/monitoring tools (e.g., Prometheus, Grafana, Splunk). Database & Scripting Skills (Preferred): Experience with databases (e.g., Postgres, MongoDB) and scripting or coding abilities in languages like Java, Python, or Go. Organizational Skills: Strong organizational skills with the ability to manage a daily workload and effectively prioritize tasks. Generative AI Knowledge (Preferred): A working knowledge of Generative AI concepts. What we can offer you: By joining Citi Solutions Center Poland, you will not only be part of a business casual workplace with a hybrid working model (currently up to 2 days working at home per week), but also (potentially, subject to final offer) receive a competitive base salary and enjoy a whole host of additional benefits which can include: Employer paid Defined Contribution Pension Plan contribution of 6% of employee’s pensionable earnings (PPE Program) Employer paid Private Medical Care Package for employees and Private Medical Care Packages for certain family members available at preferential rates Employer paid Life Insurance Program for employees and Life Insurance for certain family members available at preferential rates Employee Assistance Program financed by Employer Paid Parental Leave Program (maternity and paternity leave; statutory and 2 weeks additional paid paternity leave) Sport Card for employees subsidized via Social Benefits Fund and Sport Cards for certain family members available at preferential rates Additional benefits from Company’s Social Benefit Fund, in particular: Holidays Allowance, support for sport and cultural activities, team building events. Additional day off for volunteering Cafeteria/ flex benefit – a company benefits system which enables employees to select and purchase benefits offered by a provider and available for employees on the platform. Opportunity to receive an annual discretionary incentive award Special offers and discounts for employees Copy and paste the URL below into a new tab on your web browser to view the Remuneration Regulations extract: https://tbcdn.talentbrew.com/company/287/cms/v3/docs/policies/RemunerationRegulations-KeyProvisions-CitibankEurope_plc_05012025_A.pdf Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities. #LI-KK1 ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Support ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location Full Time Salary Range: 165 020,00 zł - 280 980,00 zł ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. ------------------------------------------------------ This job opening is for an existing job vacancy. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.