Senior DevOps Engineer

🏢 Summary: Senior DevOps Engineer role supporting large-scale, low-latency trading systems for a North American bank. The position involves building, automating, and maintaining infrastructure across hundreds of servers and modernizing DevOps tooling in a fully remote, long-term engagement. The engineer will work on high-performance production systems used in real-time financial markets. 🗂️ Requirements: 6+ years of DevOps experience, Experience with multiple Linux distributions, Experience with at least one cloud environment, Experience managing 400+ servers using infrastructure automation tools, Proficiency in Python, Proficiency in Bash, Experience deploying and managing AWS-based systems, Experience supporting low-latency trading or capital markets systems, Experience with bare metal container orchestration, Strong knowledge of Linux system lifecycle, Ability to build and maintain observability systems, Advanced troubleshooting in live Linux environments, Ability to work US Eastern business hours, Eligibility to work and reside in Poland 📃 Skills: Linux, AWS, Python, Bash, Puppet, Ansible, Terraform, CloudFormation, Kubernetes, Docker, Icinga, Nagios, Observability, Automation 🏢 Description: Are you an experienced DevOps engineer who enjoys building and managing infrastructure in the cloud? Do you love working with smart people in interesting and useful domains? Want to work on large systems that power real-time trading across global markets? If so, read on. The Role at a Glance Senior Cloud Infrastructure Engineer Fully remote for a top North American bank (based in Poland only) 220-250 zł/hr B2B net + VAT Partial overlap with US Eastern business hours We’re hiring experienced DevOps engineers (6+ years) to join the IT infrastructure team at a top North American bank — directly supporting the development of financial trading systems . You’ll be part of the core IT infrastructure team , building and maintaining infrastructure in AWS for trading systems used across the firm. Why Join Us? Collaborate with a world-class team of DevOps engineers and developers across North America and Europe. Enjoy a long-term, fully remote role . Competitive compensation and long term stability that only a bank can offer. A successful candidate will be a passionate DevOps engineer who prioritizes automation, can code their own tools, and understands the value of observability. They will have experience maintaining configuration at scale of over 100 servers.  They must also be curious, open-minded, and desire to learn new things. English proficiency is a must. This is a fully remote DevOps role for an engineer in Poland . You will be working exclusively and directly with the bank through a Polish company, that will provide the support and administrative assistance to make you successful in the role. We are looking for people to join the team long-term. This role requires a 6-hour overlap with US Eastern business hours during the onboarding period and a 3-4 hour flexible overlap afterwards. Only open to residents of Poland. Polish citizens, as well as legal residents with permission to work in Poland are welcome. Successful candidates will need to pass a standard background check. What we offer Work that matters in the financial domain: Work on a trading system at an established financial institution, processing millions of transactions daily. Professional growth: Collaborate with smart, highly capable developers in a supportive and challenging environment. Direct collaboration : You will work directly with the bank’s team in North America and in Poland. 1st-tier work : This is not a technical support or legacy maintenance role. The system is functional and is actively being built and you will take part in updating it. The people who built the system are still part of the team. Long-term commitment: This is not a fixed-scope or fixed-term outsourcing role; we value people who want to grow and contribute long-term. Fully remote work: Fully remote position based in Poland. Competitive Compensation: Above-average pay and ample time-off options. Responsibilities Own one or more technology domains end-to-end such as the AWS multi-account landing zone (Control Tower, SCPs, Organizations, IAM Identity Center), EKS greenfield buildout (service mesh, GitOps/ArgoCD, Karpenter), CI/CD pipeline architecture, or AI/ML infrastructure (Bedrock, GPU workloads, MLOps). Lead platform buildouts from design through production. Architect, implement, and operate the systems your domain covers, making and documenting architecture decisions within your scope. Author and enforce IaC standards. Write production-grade Terraform/Terragrunt modules and establish patterns the entire team adopts. Design and implement CI/CD pipelines for infrastructure and application workloads using Jenkins on ECS and GitOps workflows. Understand and troubleshoot hybrid connectivity across co-location facilities, AWS Transit Gateway, Direct Connect, and cross-region networking; partner with the Networks team to resolve issues and implement changes. Mentor two Mid-level Engineers (L3). Review code and designs, pair on complex problems, drive their technical growth. Collaborate with the Governance and Security SME on security posture, vulnerability remediation prioritization, and regulatory compliance. Participate in on-call as a senior escalation point for production infrastructure incidents. Leverage AI-assisted developer tooling to accelerate delivery and reduce operational toil across the team. Requirements Must have 6+ years building and operating production infrastructure on AWS. Deep expertise in at least one of: AWS multi-account architecture (Control Tower, SCPs, Organizations, TGW) or Kubernetes at scale (EKS, service mesh, GitOps/ArgoCD, Karpenter). Terraform and Terragrunt proficiency. You create the modules, not just consume them. CI/CD pipeline design and maintenance (Jenkins, GitHub Actions, or equivalent). Linux systems administration (Amazon Linux, RHEL, or equivalent). Python and Bash scripting for automation. Experience mentoring engineers through code reviews, design reviews, and pairing. Ability to take ambiguous problems, ask the right questions, and deliver without hand-holding. Ability to follow and understand technical conversations. Ability to work during US Eastern business hours: 6-hour overlap during the onboarding period and a 3-4 hour flexible overlap afterwards. Nice to have Financial services, trading technology, or regulated industry experience. Experience with Microsoft Entra ID (Azure AD) and enterprise application management, SAML/SSO configuration, and AWS IAM Identity Center integration. Hybrid cloud connectivity troubleshooting (Direct Connect, Transit Gateway, co-location to AWS). Privileged access management (CyberArk or equivalent). Cloud security tooling (Wiz, Qualys, CrowdStrike). AI/ML infrastructure such as Bedrock, SageMaker, GPU instance management, and MLOps pipelines. AWS certifications (Solutions Architect Professional, Advanced Networking, Security Specialty). Interview process Submit your CV. Answer a few written questions and a short programming exercise which you can do at your own pace. Participate in an online three-stage interview process Successful candidates will need to pass a standard background check.

🏢 Summary: Full-time B2B DataOps Engineer role on a long-term project within a large-scale analytical ecosystem for a telecommunications organization. The position focuses on building and automating end-to-end data processing and deployment workflows across on-premises and Kubernetes environments using GitOps principles. You will design, deploy, and optimize scalable data pipelines while integrating DevOps and Data Engineering practices. 🗂️ Requirements: 2.5+ years commercial experience in Data Engineering, DataOps or DevOps, Strong Python programming, Experience with PySpark and Pandas, Hands-on experience with Kubernetes and containerized applications, Experience with Helm, Experience with Git-based workflows, Experience building CI/CD pipelines, Understanding of GitOps principles, Experience supporting full application lifecycle, Linux command-line proficiency, Experience with LDAP, Active Directory, RBAC and TLS, Experience working with on-premises infrastructure, Polish language proficiency, Based in Poland with valid Polish passport 📃 Skills: Python, PySpark, Pandas, Kubernetes, Helm, Git, GitLab, Jenkins, ArgoCD, CICD, GitOps, Linux, LDAP, ActiveDirectory, RBAC, TLS 🏢 Description: DataOps Engineer (Poland) 💻 Hybrid (Remote with bi-weekly onsite meetings) 🕦 Full-time ☑️ B2B (long-term project) 🌍 Working hours: Central European Time (CET) We are looking for a DataOps Engineer to join a large-scale analytical ecosystem project for a leading telecommunications organization. This role is ideal for an engineer who enjoys solving complex data challenges, building automation from development through production deployment, and working across both Data Engineering and DevOps domains. You will be responsible for designing, developing, deploying, and optimizing large-scale data processing solutions while helping onboard new datasets and automate the entire delivery lifecycle using GitOps principles. The environment combines on-premises infrastructure, Kubernetes, and modern data technologies, requiring someone who is comfortable working beyond cloud-managed solutions. Must-Have’s 2.5+ years of commercial experience in Data Engineering, DataOps, DevOps, or related roles. Strong Python programming skills, including experience with analytical frameworks such as PySpark and Pandas. Experience working with Kubernetes and containerized applications. Hands-on experience with Helm. Experience with Git-based development workflows. Experience building and maintaining CI/CD pipelines using GitLab, Jenkins, ArgoCD, or similar tools. Understanding of GitOps principles and automated deployment processes. Experience supporting the full application lifecycle from development through production deployment. Linux proficiency, including command-line usage. Experience with authentication and authorization technologies such as LDAP, Active Directory, RBAC, and TLS certificate management. Strong analytical and problem-solving skills. Strong English communication skills. Polish language proficiency. Must be based in Poland and available to attend onsite meetings every two weeks. Must hold a valid Polish passport. Comfortable working with on-premises infrastructure environments. Nice to Have Experience with Apache Kafka. Experience with OpenSearch or Elasticsearch. Experience with OpenSearch Data Prepper, dbt, Kafka Streams, or similar ingestion technologies. Familiarity with Hadoop ecosystems. Experience with Ansible. Knowledge of SRE best practices, including SLOs and Error Budgets. Familiarity with Elastic Common Schema (ECS). Familiarity with TMForum standards. Degree from a leading technical university such as University of Warsaw, Warsaw University of Technology, AGH University of Science and Technology, or PJATK. Key Responsibilities Design, develop, and maintain data pipelines running on large-scale analytical platforms. Build automated processes for onboarding datasets and integrating new data streams. Develop and maintain GitOps-driven deployment workflows. Design and implement CI/CD pipelines for data and platform services. Deploy and manage applications running on Kubernetes-based environments. Monitor, troubleshoot, and optimize data processing workloads for performance and scalability. Collaborate with stakeholders to gather requirements and translate business needs into technical solutions. Support application lifecycle management, including design, implementation, deployment, and maintenance. Improve operational efficiency through automation and infrastructure standardization. Work closely with cross-functional teams to ensure reliable and scalable platform operations. Contribute to security, governance, and operational best practices across the environment. Get to know DevsData We are a technology consulting company and a recruitment agency, delivering software solutions to clients from Europe and the US. We work 100% remotely, in an international team, including people from Asia, London, or San Francisco. We employ people with experience in international corporations as well as students of the best technical and business universities. Find out more: https://devsdata.com/

🏢 Summary: Senior DevOps Engineer role focused on designing and scaling next-generation CI/CD platforms supporting high-volume builds and deployments across diverse systems (IoT, web, mobile, backend, data, ML). The position combines hands-on platform engineering with technical leadership, driving CI/CD strategy, cloud infrastructure, and developer enablement. The role directly impacts reliability, security, and scalability of developer tooling used by hundreds of engineers. 🗂️ Requirements: 7+ years of experience in software engineering or DevOps, Experience designing and operating large-scale distributed systems, Hands-on experience with AWS, Strong knowledge of Kubernetes and containerized environments, Experience with CI/CD platforms and build systems, Proficiency in at least one programming language: Kotlin, Go, or Python, Experience with Jenkins and GitHub Actions, Experience with Gradle and Artifactory 📃 Skills: Jenkins, GitHub, GitHubActions, Gradle, Artifactory, Kubernetes, AWS, Kotlin, Go, Python, CI/CD, Docker 🏢 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. As a Senior DevOps Engineer , you will join the Platform team , responsible for designing and evolving next-generation CI/CD platforms used by hundreds of engineers across the organization. Your work will directly impact how fast, safely, and reliably products are built and delivered across a diverse technology landscape — from IoT and firmware to web, mobile, backend, data, and machine learning systems. This is a senior, hands-on role with strong technical leadership expectations. You’ll influence platform strategy, guide engineering teams in adopting modern CI/CD solutions, and help scale developer infrastructure capable of supporting thousands of daily builds and deployments. Key takeaways: Stack: Jenkins, GitHub Actions, Gradle, Artifactory, Kubernetes, AWS Salary: 27 000 PLN - 33 000 PLN gross on the Contract of Employment Working model: Hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Interview with the Hiring Manager (1h) Interviews panel (debugging / break-fix style interview, architecture or system design discussion; up to 3h in total) Responsibilities: Platform Architecture & CI/CD Design, build, and maintain scalable CI/CD platforms capable of handling high build and deployment volumes Architect and support systems using Jenkins, GitHub Actions, Gradle, and Artifactory Ensure reliability, extensibility, and security of developer tooling Technical Leadership Act as a technical leader within the team, promoting a strong platform-thinking mindset Influence technology investments and architectural decisions across partner teams Support peers in design reviews, execution planning, and complex problem-solving Developer Experience & Enablement Continuously improve self-service infrastructure and automation tooling Partner with internal teams to identify bottlenecks and optimize build and delivery workflows Advocate for best-in-class developer experience across the organization Quality, Standards & Roadmapping Promote best practices in architecture, testing, documentation, and agile delivery Review platform designs, technical decisions, and code to ensure high quality and scalability Contribute to planning and execution of long-term technology roadmaps Requirements: Technical Expertise 7+ years of experience in software engineering or DevOps roles Strong experience designing and operating large-scale, distributed systems Hands-on experience with cloud platforms (AWS preferred) Solid understanding of containerized environments and orchestration (Kubernetes) Programming & Tooling Practical experience with at least one high-level programming language (Kotlin, Go, or Python) Familiarity with modern CI/CD ecosystems and build tooling Experience supporting diverse engineering domains (backend, frontend, mobile, data, IoT) is a strong plus Mindset & Collaboration Strong focus on improving developer experience and productivity Pragmatic approach to engineering, with a deep understanding of trade-offs Confident communicator who enjoys collaborating across teams Comfortable challenging ideas, making compromises, and driving alignment 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: The offer is for a Network Automation / DevOps Engineer responsible for transforming a global, high-availability financial network into a highly automated, observable, and self-service platform. The role focuses on building advanced telemetry, monitoring, and infrastructure automation solutions in a low-latency capital markets environment. It combines deep networking expertise with Infrastructure as Code and cloud integration. 🗂️ Requirements: Experience with modern monitoring and telemetry stacks, Hands-on experience with network automation tools, Proficiency in Python programming, Experience with Infrastructure as Code, Knowledge of NETCONF or RESTCONF, Strong understanding of BGP, OSPF, PIM, IGMP, Experience with AWS networking, Ability to perform deep packet analysis, Experience managing multi-vendor network environments, Willingness to participate in 24/7 on-call rotation 📃 Skills: Python, Git, Ansible, Jinja, Terraform, Netbox, Temporal, Prometheus, Grafana, Telegraf, gNMI, YANG, NETCONF, RESTCONF, BGP, OSPF, PIM, IGMP, AWS, Cisco 🏢 Description: Location: Warsaw, Poland (City Centre, near Rondo ONZ) — Hybrid model (3 days a week in the office, 2 days remote) Contract Type: Permanent (Umowa o Pracę) About the Role & Project: We are recruiting for our client – a rapidly growing, global financial institution operating in the capital markets. We are looking for an engineer eager to bridge the gap between traditional network engineering and modern DevOps practices. This is not a role for a traditional network administrator. We are seeking a specialist whose default approach to repetitive tasks is automation, and who is passionate about building advanced telemetry and monitoring systems. Your mission will be to transform a global, high-availability infrastructure into a self-service, highly observable platform. If you thrive in environments where system stability and milliseconds directly impact business outcomes, and where manual intervention is treated as a problem to be solved with code, this is the team for you. Key Responsibilities: Design, implement, and maintain advanced telemetry, monitoring, and predictive alerting systems for a global, high-availability network. Develop, scale, and maintain automation tools to streamline network workflows (from automated provisioning to zero-touch deployments). Collaborate closely with engineering and investment teams to align network performance with dynamic business and trading requirements. Define, implement, and maintain configuration standards across a robust multi-vendor environment. Serve as the senior escalation point for troubleshooting and resolving complex performance and routing anomalies. Participate in a 24/7 on-call rotation and scheduled out-of-hours maintenance windows. Technical Profile (Technical Fit): Observability-First Mindset: Practical experience with modern monitoring stacks, telemetry protocols, and metrics collection (Prometheus, Grafana, Telegraf, gNMI, YANG, Cisco Telemetry). Automation as a Standard: Strong hands-on experience with automation tools and frameworks such as Ansible, Jinja, Terraform, Netbox, and workflow engines (e.g., Temporal). Infrastructure as Code (IaC) & Dev Skills: Proficiency in Python and Git, with experience managing network configurations programmatically (NETCONF/RESTCONF). Core Networking Foundations: Solid understanding of routing protocols and multicast environments (BGP, OSPF, PIM, IGMP). Public Cloud Integration: Practical knowledge of building and managing cloud network infrastructure (AWS). Advanced Troubleshooting: Ability to perform deep-packet analysis and diagnose complex, transient network issues under pressure. Personal Attributes (Cultural Fit): A continuous learning mindset with a drive to proactively identify and optimize inefficient processes. Ability to work independently, taking ownership of projects and delivering them on schedule with minimal supervision. Excellent communication and collaboration skills, comfortable working in a fast-paced, international team. Strong analytical thinking and decision-making skills under pressure. Bonus Points: Experience integrating enterprise-grade VoIP and cloud collaboration systems. Familiarity with network security, identity management, and segmentation solutions (e.g., Cisco ISE). A basic understanding of financial markets, trading lifecycles, or quantitative trading environments. What We Offer: Stable Employment: Full-time employment contract (Umowa o Pracę - UoP). Tax Optimization: Eligibility for creative tax-deductible costs (KUP - Koszty Uzyskania Przychodu). Financial Reward: Highly competitive base salary accompanied by a generous annual performance bonus. Comprehensive Health: Premium private medical care package that fully includes dental coverage (stomatologia). Wellness & Lifestyle: MultiSport card to keep you active and healthy. Daily Perks: Pre-funded lunch card for your daily meals.

🏢 Summary: Senior AWS DevOps / Platform Engineer role in a scalable fintech environment focused on AWS cloud infrastructure, CI/CD modernization, and production reliability. The position involves building and maintaining cloud-native platforms, automating infrastructure, and ensuring high availability and security of mission-critical systems. The engineer will work with global teams to drive SRE practices and continuous delivery excellence. 🗂️ Requirements: 7+ years of DevOps / Platform Engineering / SRE experience, Strong hands-on experience with AWS and networking, Strong experience with Kubernetes (EKS preferred), Strong experience with Docker, Experience building and maintaining CI/CD pipelines, Strong experience with Terraform, Experience with monitoring and observability tools, Experience supporting production environments, Experience with incident response and troubleshooting, Proficiency in Python and/or Bash, Understanding of distributed systems and microservices architectures, Knowledge of high availability systems 📃 Skills: AWS, Kubernetes, EKS, Docker, Terraform, CloudFormation, ARM, Jenkins, GitLab, Azure, GitHub, Python, Bash, Prometheus, Grafana, ELK, OpenSearch, Datadog, CloudWatch, ArgoCD, Linux 🏢 Description: 🚀 Senior AWS DevOps / Platform Engineer 📍 Remote (Poland) | Occasional visits to Warsaw 💰 Rate: up to 1,500 PLN/day We are looking for an experienced Senior AWS DevOps Engineer to join a highly scalable fintech environment. The role combines platform engineering, CI/CD modernization, cloud infrastructure, and production reliability , working closely with global engineering teams. You will support and evolve mission-critical systems used across international business units, ensuring high availability, security, and continuous delivery excellence. 💡 Your Mission ☁️ Cloud & Platform Engineering Design, build, and maintain scalable AWS-based infrastructure. Ensure high availability, resilience, and performance of distributed systems. Work with modern cloud-native architectures and microservices platforms. ⚙️ CI/CD & Automation Build and maintain CI/CD pipelines using: Jenkins GitLab CI Azure DevOps GitHub Actions Migrate and improve legacy deployment pipelines. Implement GitOps and automation best practices. 🧱 Infrastructure as Code Provision and manage infrastructure using: Terraform CloudFormation ARM templates (where applicable) Standardize infrastructure provisioning across environments. 📦 Containers & Orchestration Deploy and manage containerized workloads using Docker. Work with Kubernetes (EKS preferred). Support scaling, rollout strategies, and cluster optimization. 📊 Monitoring & Observability Implement monitoring and alerting solutions using: Prometheus Grafana ELK / OpenSearch Datadog CloudWatch Improve system visibility and proactive incident detection. 🚨 Production Support (SRE mindset) Support production environments and ensure system stability. Participate in incident management and root cause analysis. Improve MTTR and system reliability through automation. Drive SRE practices (SLI / SLO / SLA). 🔐 Security & Compliance Apply security best practices in cloud environments. Support secrets management, encryption, and access control. Work in a regulated fintech environment (compliance-aware engineering). 🎯 Must-Have Skills ✔️ 7+ years of experience in DevOps / Platform Engineering / SRE ✔️ Strong hands-on experience with: AWS (core services + networking) Kubernetes (preferably EKS) Docker ✔️ CI/CD tooling: Jenkins / GitLab CI / Azure DevOps / GitHub Actions ✔️ Infrastructure as Code: Terraform (must-have) CloudFormation or ARM templates (nice to have) ✔️ Scripting: Python and/or Bash ✔️ Strong experience with: Monitoring & observability tools Production support environments Incident response & troubleshooting ✔️ Understanding of: Distributed systems Microservices architectures High availability systems ⭐ Nice to Have Experience in fintech, banking or payment systems GitOps (ArgoCD or similar) Linux administration Security tooling (OWASP, scanning, secrets management) Experience with Java-based systems Cloud certifications (AWS / Azure) 🎁 What You’ll Get ✨ Work on large-scale fintech platforms with global reach ✨ Strong engineering culture focused on automation & reliability ✨ Exposure to modern AWS + Kubernetes ecosystems ✨ Real impact on CI/CD and platform architecture ✨ Hybrid/remote flexibility (Poland-based) ✨ Long-term stable project environment ✨ Opportunity to work with experienced DevOps & SRE teams 🚀 Ready to build and scale cloud platforms that power global fintech systems? Join us and help shape a modern AWS-driven DevOps & platform engineering environment focused on automation, reliability, and continuous delivery.

🏢 Summary: 6-month B2B contract for a Senior DevOps Engineer to design, automate, and maintain hybrid cloud and on-premises infrastructure, with strong focus on Azure, Kubernetes, and Infrastructure as Code. The role involves building CI/CD pipelines, managing containerized environments, and implementing GitOps and observability solutions to ensure secure, reliable, and scalable systems. Fully remote with close collaboration with engineering teams. 🗂️ Requirements: 5+ years of DevOps experience, Experience with Azure and on-premises infrastructure, Hands-on experience with Kubernetes and AKS, Strong Terraform and Infrastructure as Code experience, Experience building CI/CD pipelines with Azure DevOps YAML, Experience with Docker and container management, Experience creating and maintaining Helm charts, Experience with secrets management solutions, Experience with observability platforms, Scripting skills in Bash, Python, or PowerShell, Knowledge of Git workflows and versioning, Experience with GitOps tools such as Argo CD, Strong troubleshooting skills across infrastructure and CI/CD 📃 Skills: Azure, Kubernetes, AKS, Terraform, CI/CD, AzureDevOps, YAML, Docker, Helm, ArgoCD, GitOps, AzureKeyVault, HashiCorpVault, ELK, LGTM, Bash, Python, PowerShell, Git 🏢 Description: As a Senior DevOps Engineer , you will join our engineering team and help build and operate a cutting-edge solution for our client, a company that designs, builds, and operates advanced registry systems used by organizations worldwide. In this role, you will be responsible for designing, automating, and maintaining modern cloud and on-premises infrastructure. You will work closely with development and operations teams to ensure reliable, secure, and scalable environments while driving DevOps best practices across the organization. This is a 6-month engagement with the possibility of extension. In Short 🌎 100% REMOTELY or from one of our 2 offices 💰 160 - 180 pln/h ☑️ B2B contract Your Daily Missions Design, implement, and maintain infrastructure across Azure and on-premises environments. Build and optimize CI/CD pipelines using Azure DevOps YAML pipelines and modern automation practices. Manage and maintain Kubernetes clusters, including Azure Kubernetes Service (AKS) and on-premises Kubernetes environments. Develop and maintain Infrastructure as Code using Terraform. Create, optimize, and manage Docker containers and container images. Design, author, and maintain Helm charts for Kubernetes-based applications. Implement and manage GitOps workflows using Argo CD or similar tools. Configure and maintain secrets management solutions such as Azure Key Vault, HashiCorp Vault, or equivalent. Monitor, troubleshoot, and improve system reliability using observability platforms such as ELK Stack, LGTM Stack, or similar solutions. Collaborate with software engineers to improve deployment processes, system performance, and operational excellence. Troubleshoot complex issues across infrastructure, Kubernetes, CI/CD pipelines, and applications. The Essentials We’re Seeking 5+ years of experience in DevOps . Fluent English communication skills (minimum B2+ level). Strong experience managing hybrid infrastructure environments, including Azure and on-premises systems. Hands-on experience with Kubernetes , including AKS and on-premises clusters. Strong Terraform skills and experience with Infrastructure as Code practices. Experience building and maintaining CI/CD pipelines using Azure DevOps YAML pipelines or equivalent solutions. Experience with Docker , Dockerfile authoring, and container image management. Experience creating and maintaining Helm charts. Experience with secrets management solutions such as Azure Key Vault, HashiCorp Vault, or equivalent. Experience working with observability platforms such as ELK Stack, LGTM Stack, or equivalent. Scripting experience using Bash, Python, PowerShell, or equivalent. Good understanding of Git workflows, branching strategies, and versioning. Experience with GitOps tools such as Argo CD or equivalent solutions. Strong troubleshooting skills across infrastructure, Kubernetes, CI/CD pipelines, and applications. Reasons Why You Would Enjoy Working With Us We work in the latest technologies and with international clients, and our projects are polished from < to /> - learn about some of the projects we have completed: https://www.cshark.com/projects/ . We organize TechTalks, meet-ups and create guilds where we exchange knowledge - you can learn a lot from your teammates. We have a close-knit team and we make sure to have regular integrations - we often go out to celebrate together. You can work remotely or choose to work from our offices in Wroclaw or Bielsko-Biala. However, we count on your openness to occasionally visit the office for team meetings or client visits, or possible occasional trips to the client's headquarters. You can adjust your working hours to suit your needs, starting your day between 7:00 and 10:00 am. You can work with great specialists in their fields who also have a sense of humor and other after-hours hobbies. It is the people who create the unique atmosphere and relaxed atmosphere at CSHARK. We have a flat structure - we are not a corporation and don't want to be one 🙃. We offer bonuses for employee referrals (from 3000 PLN to 7000 PLN). We organize remote English classes and provide access to the company library. You can also become an author/author of articles published on our technical blog - https://cshark.com/blog/ .

🏢 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: Remote B2B role focused on building and expanding a large-scale analytical and operational data ecosystem delivering campaign performance insights and investment decision support. The position involves developing high-throughput data pipelines, reporting engines, and attribution systems using a modern cloud-based stack. You will work on production-grade data models and scalable systems supporting millions of users. 🗂️ Requirements: Minimum 3 years commercial experience with Java or Kotlin or Scala, Experience with distributed data pipelines, Experience with data processing and analytics systems, Knowledge of GCP cloud environment, Experience with large-scale data systems, Understanding of microservices architecture, Understanding of event-driven systems, Knowledge of data modeling, Willingness to participate in on-call duties, Availability for monthly visits to Warsaw 📃 Skills: Java, Kotlin, Scala, GCP, BigQuery, PostgreSQL, Airflow, Composer, Spark, Spring, Kafka, Microservices, Avro, Terraform, Analytics, DataModeling 🏢 Description: Salary: 600-960 pln/md on B2B Work mode: Remote (with visits to Warsaw once a month and w illingness to participate in on-call duties) Why choose this offer? Work on a high-impact data ecosystem Exposure to large-scale data processing , advanced analytics, and production-grade data models Modern tech stack (GCP, Spark, Airflow, Kafka, microservices) Project Development and expansion of an advanced analytical and operational ecosystem . The project focuses on delivering precise campaign performance data (Insights & Performance) and building tools that support large-scale investment decision-making. It includes creating reliable reporting systems, data attribution models, and scalable data pipelines, ensuring high-quality data availability for professional users. Expected competences and knowledge At least 3 years of commercial experience with Java / Kotlin / Scala Solid understanding of data processing and analytics systems Experience with distributed data pipelines and orchestration tools Knowledge of GCP cloud environment Experience working with large-scale data systems (e.g. BigQuery, Spark) Familiarity with microservices architecture and event-driven systems Understanding of data modeling and data productionization Nice to have Knowledge of Apache ecosystem, Avro, Terraform Responsibilities you’ll have Designing and developing reporting engines and attribution systems (Insights & Performance) Building and maintaining high-throughput data pipelines Collaborating with Data Science teams to productionize advanced data models Ensuring scalability, reliability, and performance of data systems Developing internal tools (bulk management, agency panels, RBAC systems) Supporting complex account structures and permissions management Willingness to participate in on-call duties Technologies you'll work with Java / Kotlin / Scala GCP (BigQuery) PostgreSQL Apache Airflow / Composer Apache Spark Spring Boot Kafka Microservices architecture Apache, Avro, Terraform Client – why choose this particular client from the Jit portfolio? Our Client dominates the Polish e-commerce arena as the market leader since 1999 . With a user base of over 20 million and growing, this well-established platform is at the forefront of e-commerce, constantly striving for growth through market expansion and investment. As a major player in technology, our Client boasts a talented IT team of over 1,000 employees who focus on developing their own cutting-edge technologies. Jit Team has had a successful partnership with our Client since spring 2021 , with multiple software development teams dedicated to our Client's platforms. These teams operate autonomously, designing platform components through micro-services. Working with our Client offers a chance to contribute to a solution used by millions on a daily basis and to tackle the challenge of delivering software at a massive scale , where even a single second of delay can have a significant impact. This project provides a unique opportunity to work with state-of-the-art technologies and tools, making it a rare and valuable experience. About Jit Team The Human factor of IT - it's not just a slogan, it's a philosophy. The foundation of Jit Team is people, which is why we prioritise you. We employ over 700 experienced experts . We create highly specialised teams for clients from all over the world. We offer team members developmental projects, a wide range of benefits and a proprietary professional development programme. Behind our maxim are also charitable and educational activities. We support pupils and students by donating learning equipment. We offer internships to help launch careers in IT. We support water rescuers and hospitals by providing the necessary equipment. We are a Polish company and we share what we have achieved over 15 years of activity . By supporting indigenous initiatives, we ensure the circulation of good energy.