AWS Senior DevOps Engineer

🏢 Summary: Platform Engineer / DevOps role focused on building and standardizing multi-cloud Kubernetes environments using Infrastructure-as-Code. The position centers on Terraform-driven provisioning across AWS, Azure, and GCP, GitOps-based deployment automation, and enterprise-grade security and identity integration. The engineer supports internal and client environments, ensuring portable, secure, and reliable cloud-native deployments. 🗂️ Requirements: Strong Terraform experience across AWS Azure and GCP, Hands-on experience with EKS AKS and GKE, Practical knowledge of Kubernetes networking node pools workload identity private clusters ingress storage classes cluster upgrades, Experience with GitOps workflows and Helm release management, Experience with GitHub Actions and OIDC authentication, Experience with Terraform remote state management, Ability to deploy into secure enterprise environments with strict security audit and change-control requirements, Experience debugging Kubernetes CRDs RBAC networking DNS ingress and identity issues, Fluent English, EU residency and valid EU work authorization 📃 Skills: Terraform, Kubernetes, AWS, Azure, GCP, EKS, AKS, GKE, Helm, GitOps, GitHubActions, OIDC, OCI, AzureOpenAI, ACR, KeyVault, Postgres, Databricks, OpenTelemetry, RBAC, DNS, Ingress 🏢 Description: Join Our Team as a Platform Engineer / DevOps - Multi-Cloud IaC Are you a hands-on Infrastructure-as-Code expert who can provision real Kubernetes environments across AWS, Azure, and GCP, while keeping security, auditability, portability, and operational reliability in mind? PortBlueSky is supporting a major multinational enterprise in scaling a widely adopted open-source, Kubernetes-native agentic AI platform. We are looking for a Platform Engineer / DevOps specialist to provision internal environments and support multi-cloud client deployments, with a strong focus on Terraform, Kubernetes, GitOps, and cloud-native identity. This role is ideal for someone who can move between cloud infrastructure, CI/CD, Kubernetes debugging, deployment automation, and client advisory work. Role and Responsibilities As Platform Engineer / DevOps, you will: Provision internal and client environments: Build and maintain repeatable Kubernetes deployment environments across AWS, Azure, and GCP. Own multi-cloud IaC patterns: Use Terraform to define secure, maintainable, portable infrastructure for EKS, AKS, GKE, networking, storage, identity, and deployment dependencies. Build Azure parity: Help establish strong Azure deployment patterns, including AKS, Azure managed identity, Azure OpenAI, Azure networking, Azure Container Registry, Key Vault, Terraform, and GitHub Actions. Support enterprise deployment requirements: Work within client infrastructure constraints, including strict security, audit, change-control, network, registry, and identity requirements. Standardize deployment automation: Improve GitOps workflows, Helm release management, OCI chart/image handling, GitHub Actions/OIDC, Terraform remote state, environment promotion, and cluster bootstrap automation. Integrate with client stacks: Support deployment patterns for Databricks, S3-compatible storage, managed Postgres, OTEL, model gateways, private registries, and cloud-native secret systems. Debug practical failures: Resolve issues around CRDs not being established, unavailable APIService resources, webhook certificates, image pulls, RBAC denials, network policies, DNS, ingress, and cloud identity. Support forward-deployed engineering: Help client teams that lack internal Kubernetes, DevOps, or cloud-platform maturity adopt robust deployment patterns. What We Offer A technically challenging platform mission: Work on a real open-source platform being scaled for enterprise adoption across cloud providers and client-owned environments. A senior, developer-led culture: PortBlueSky publicly positions itself around top 1% technical experts, senior engineering talent, and challenging projects for leading corporations. Remote-first flexibility: Work in a remote-first setup with flexible conditions and a strong work-life balance. High ownership: Shape how environments are provisioned, promoted, secured, upgraded, and supported. Practical impact: Your work will directly affect whether the platform can be adopted by enterprise teams with confidence. About You You are an experienced Platform Engineer, DevOps Engineer, or Cloud Infrastructure Engineer with: Strong Terraform experience across AWS, Azure, and GCP. Hands-on experience with EKS, AKS, and GKE. Practical knowledge of Kubernetes networking, node pools, workload identity, private clusters, managed ingress, storage classes, and cluster upgrade workflows. Experience with GitOps, Helm release management, OCI charts/images, GitHub Actions/OIDC, Terraform remote state, and environment promotion. Experience deploying into client infrastructure or multi-cloud environments with security, audit, and change-control requirements. A preference for portable, vendor-agnostic patterns while still using native cloud identity and infrastructure where appropriate. Strong debugging skills and calmness under deployment pressure. Fluent English and comfort working in a distributed, international team. EU residency and permission to work in the EU. Nice to Have Deep Azure experience, especially AKS, managed identity, Azure OpenAI, Azure Container Registry, Key Vault, and private networking. Experience with Databricks, managed Postgres, OTEL, model gateways, private registries, or enterprise secrets management. Familiarity with agentic AI platforms, Kubernetes-native control planes, MCP/A2A flows, or workflow orchestration. Experience supporting enterprise clients in consulting, staff augmentation, or forward-deployed roles. Technologies & Tools You May Work With Terraform AWS / EKS Azure / AKS GCP / GKE Kubernetes Helm GitHub Actions / OIDC GitOps OCI registries Azure OpenAI Azure Container Registry Azure Key Vault Managed Postgres Databricks OpenTelemetry Private registries Cloud-native identity systems Ready to build the multi-cloud foundations for a serious enterprise AI platform? Apply now and help create deployment patterns that work across real-world client environments. Apply Now!

🏢 Summary: Senior Network Engineer role focused on designing and delivering a global AWS-based network backbone across multiple regions. The position centers on building secure, scalable connectivity using AWS Cloud WAN, AWS Network Firewall, and Terraform-driven infrastructure as code. The role combines hands-on implementation, automation, and multi-region network optimization in a cloud-first environment. 🗂️ Requirements: 5+ years of network engineering experience in enterprise cloud environments, Hands-on expertise with AWS Cloud WAN and multi-region connectivity, Strong proficiency in Terraform for infrastructure as code, Experience designing centralized egress architectures with AWS Network Firewall, Experience delivering large-scale network infrastructure projects, Experience with network automation and DevOps practices, Ability to troubleshoot complex multi-region network environments 📃 Skills: AWS, CloudWAN, Terraform, NetworkFirewall, IaC, DevOps, Agile, Routing, Automation, Monitoring, Troubleshooting 🏢 Description: Key Responsibilities: - Deliver the entire global network backbone infrastructure across IAD, PDX, and DUB regions as defined in the project plan. - Build centralized egress architectures using AWS Network Firewall to ensure secure, scalable, and cost-effective traffic management across all regions. - Build and maintain AWS Cloud WAN infrastructure to provide seamless connectivity and routing across our global network footprint. - Develop and maintain infrastructure as code using Terraform to ensure consistent, repeatable, and version-controlled network deployments. - Collaborate with security architects, cloud engineers, and other stakeholders to understand requirements and translate them into robust network architectures and technical specifications. - Drive the implementation of network automation and self-service capabilities to enable parallel development and incremental delivery of network services. - Lead by example through hands-on technical work while mentoring other network engineers, providing technical guidance and knowledge transfer. - Ensure the reliability, performance, and security of network infrastructure through comprehensive testing, monitoring, and continuous improvement - Drive the adoption of best practices in network engineering, including infrastructure as code or automation-first approaches. - Troubleshoot and resolve complex network issues across multi-region environments in a timely manner. - Stay up-to-date with the latest AWS networking services, industry trends, and technologies to ensure our infrastructure remains competitive and efficient. Required Skills and Experience: - 5+ years of experience in network engineering, with a focus on enterprise cloud networking solutions. - Deep, hands-on expertise in AWS Cloud WAN, including configuration, routing policies, and multi-region connectivity. - Strong proficiency in Terraform for infrastructure as code, with proven experience managing complex network deployments. - Extensive experience designing and implementing centralized egress architectures using AWS Network Firewall, including policy management and traffic inspection. - Proven track record of delivering large-scale network infrastructure projects in a fast-paced environment. - Excellent problem-solving skills and the ability to think critically and creatively about complex network challenges. - Strong communication and collaboration skills, with the ability to work effectively in a cross-functional, team-oriented environment. - Experience with agile methodologies and DevOps practices applied to network infrastructure. - Ability to communicate fluently in English.

🏢 Summary: The offer is for a Cloud Infrastructure Specialist responsible for ensuring production stability, secure cloud networking, and scalable infrastructure within AWS and Azure environments. The role focuses on hands-on infrastructure as code, observability, and CI/CD optimization while closely collaborating with a development team. It emphasizes autonomy and direct impact on production reliability rather than ticket-based support. 🗂️ Requirements: Proven experience maintaining production-grade environments, Hands-on experience with AWS services (Lambda, API Gateway, DynamoDB, RDS, S3, SNS, SQS, EC2, ECS, WAF, VPC, Route53, ALB/NLB, Cognito, IAM), Hands-on experience with Azure services, Strong practical experience with cloud networking (VPC/VNet, subnetting, routing, peering, NAT, security groups, firewalls), Hands-on experience with Datadog for monitoring, logging, alerting, In-depth commercial experience with AWS and Azure, Proficiency with Terraform or AWS CDK, Experience building and maintaining CI/CD pipelines using GitLab CI/CD, Ability to support automated deployments and infrastructure changes 📃 Skills: AWS, Azure, Terraform, CDK, TypeScript, Datadog, Prometheus, Grafana, Loki, Kubernetes, AKS, Lambda, APIGateway, DynamoDB, S3, SNS, SQS, EC2, ECS, WAF, VPC, Route53, ALB, NLB, Cognito, IAM, RDS, Redshift, BlobStorage, PostgreSQL, GitLabCI, AzureDevOps, RabbitMQ, InfluxDB 🏢 Description: You will join a substantial project as a key infrastructure specialist. You won't be managing a ticket queue; instead, you will partner directly with a mid-sized team of developers (~15 people) to ensure system stability and scalability. We are looking for someone who acts independently and is ready to ensure production reliability and secure cloud network configuration. Our Tech Stack You are not expected to know everything upfront, but this is the environment you will work with: IaC: Terraform, AWS CDK (TypeScript) Clouds: AWS & Azure Observability: Datadog, Prometheus, Grafana, Loki Core Azure: Kubernetes (AKS), Blob Storage, PostgreSQL Core AWS: Lambda, API Gateway, DynamoDB, S3, SNS, SQS, EC2, WAF, VPC CI/CD: GitLab CI, Azure DevOps Other: RabbitMQ, InfluxDB, Renovate Requirements: Production Experience: proven track record of configuring and maintaining production-grade environments. Hands-on experience with AWS (Lambda, API Gateway, DynamoDB, Redshift, RDS, S3, SNS, SQS, EC2, ECS, WAF, VPC, Route53, ALB/NLB, Cognito, IaM) Hands-on experience with Azure. Observability & monitoring: hands‑on experience with Datadog for monitoring, logging, alerting and performance analysis in production environments. Cloud Networking: strong practical experience in configuring Cloud Networks (VPC/VNet, Subnetting, Routing, Peering, NAT Gateways, Security Groups/Firewalls). Cloud Expertise: in-depth knowledge and commercial experience with Azure and AWS. Tooling: proficiency with Terraform or AWS CDK. Practical experience in building and maintaining CI/CD pipelines using GitLab CI/CD, supporting automated deployments and infrastructure changes. High autonomy and ability to communicate technical concepts to a cross-functional team. Nice to have: Experience with TypeScript , especially in AWS CDK or serverless applications. Main responsibilities: Production Stability: Maintain high availability and security of production environments. Cloud Networking: Configure and manage VPCs/VNets, subnets, routing tables, peering, and network isolation. Infrastructure as Code: Provision and manage resources using Terraform or AWS CDK. Developer Support: Optimize CI/CD pipelines and assist developers in understanding infrastructure constraints. Observability: Maintain monitoring stacks to ensure full system visibility.

🏢 Summary: Opportunity to join a large-scale DevOps transformation programme focused on migrating 90+ applications, modernising infrastructure, and standardising cloud-native engineering practices. The role centres on Kubernetes adoption, CI/CD optimisation, workflow orchestration modernisation, and AI-driven automation within a complex enterprise environment. You will collaborate across platform, infrastructure, and application teams to improve delivery efficiency and operational scalability. 🗂️ Requirements: Strong DevOps or Platform Engineering experience in large enterprise environments, Experience with Java-based application ecosystems, Hands-on Kubernetes experience in enterprise settings, Experience deploying and managing applications on Linux (Red Hat preferred), Strong CI/CD pipeline design and implementation experience, Experience with Azure DevOps, Experience supporting multiple applications or cross-team environments, Experience with workflow orchestration tools (Control-M or Airflow), Experience using AI to automate DevOps processes and workflows 📃 Skills: DevOps, Kubernetes, Java, Linux, RedHat, CI/CD, Azure, Control-M, Airflow, AI, Automation 🏢 Description: Our client, a leading international organisation operating within a highly complex technology environment, is undertaking a large-scale transformation programme focused on infrastructure modernisation, application migration and engineering efficiency. To support this initiative, a new central DevOps capability is being established to drive the migration and standardisation of a large application estate while introducing scalable engineering practices and modern delivery approaches across multiple technology teams. This is an opportunity to join a strategic programme with significant visibility and impact, working at the intersection of platform engineering, automation, cloud-native technologies and AI-enabled software delivery. Project Scope The programme includes: Migration of more than 90 applications across multiple technology domains Large-scale infrastructure and data centre transformation initiatives Adoption of enterprise Kubernetes platforms Migration to modern storage and infrastructure solutions Modernisation of workflow orchestration and scheduling platforms Standardisation of DevOps practices across engineering teams Introduction of AI-driven tooling to improve engineering productivity and delivery efficiency The successful candidate will work closely with platform, infrastructure, architecture and application teams to accelerate delivery, reduce operational complexity and support the organisation's long-term technology strategy. Key Responsibilities Support large-scale application and infrastructure migration initiatives Design, implement and optimise CI/CD pipelines and deployment processes Enable adoption of Kubernetes-based deployment models Drive automation and standardisation across engineering teams Improve software delivery processes and operational efficiency Leverage AI tools to automate DevOps workflows and engineering tasks Support workflow orchestration modernisation projects Collaborate with stakeholders across multiple technology teams Required Skills & Experience Strong DevOps or Platform Engineering experience gained within large-scale enterprise environments Solid exposure to Java-based application ecosystems Experience deploying and managing applications on Linux environments (Red Hat preferred) Hands-on experience with Kubernetes in enterprise settings Strong CI/CD experience, ideally with Azure DevOps Experience supporting multiple applications or working across various engineering teams Experience with workflow orchestration tools such as Control-M and/or Airflow Experience using AI to automate DevOps processes, workflows or engineering activities Nice to Have Experience with object storage technologies and infrastructure transformation programmes Background within financial services, banking or capital markets Exposure to trading, pricing or risk management systems Experience working with platforms such as Murex Experience leveraging AI tools to support migration initiatives, including Control-M to Airflow transitions

🏢 Summary: The role focuses on designing, delivering, and operating a global AWS network backbone across multiple regions, with emphasis on Cloud WAN, centralized egress architectures, and automation-first infrastructure. It involves building secure, scalable, and cost-efficient network solutions using Infrastructure as Code and driving network reliability through testing, monitoring, and continuous improvement. The position also includes hands-on technical leadership and implementation of network automation in complex multi-region environments. 🗂️ Requirements: 5+ years of network engineering experience in enterprise cloud environments, Deep hands-on expertise with AWS Cloud WAN and multi-region connectivity, Strong proficiency in Terraform for infrastructure as code, Experience designing centralized egress architectures with AWS Network Firewall, Experience delivering large-scale network infrastructure projects, Experience with network automation and DevOps practices, Ability to troubleshoot complex multi-region network issues, Experience with AI-powered coding assistants in software delivery, Work permit and residence within the European Union, Fluent English 📃 Skills: AWS, CloudWAN, Terraform, NetworkFirewall, VPC, Routing, Networking, Automation, DevOps, IaC, Git, CI/CD, Monitoring, Firewall, AI 🏢 Description: 🟣 You will be: delivering the entire global network backbone infrastructure across multiple AWS regions, building centralised egress architectures using AWS Network Firewall to ensure secure, scalable, and cost-effective traffic management across all regions, building and maintaining AWS Cloud WAN infrastructure to provide seamless connectivity and routing across the global network footprint, developing and maintaining infrastructure as code using Terraform to ensure consistent, repeatable, and version-controlled network deployments, collaborating with security architects, cloud engineers, and other stakeholders to gather requirements and translate them into robust network architectures and technical specifications, driving the implementation of network automation and self-service capabilities to enable parallel development and incremental delivery of network services, leading by example through hands-on technical work while mentoring other network engineers and providing technical guidance and knowledge sharing, ensuring the reliability, performance, and security of network infrastructure through comprehensive testing, monitoring, and continuous improvement, driving the adoption of best practices in network engineering, including infrastructure as code and automation-first approaches, troubleshooting and resolving complex network issues across multi-region environments on time, staying up to date with the latest AWS networking services, industry trends, and technologies to ensure the infrastructure remains competitive and efficient. 🟣 Your profile: 5+ years of experience in network engineering with a strong focus on enterprise cloud networking solutions, practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, deep hands-on expertise in AWS Cloud WAN, including configuration, routing policies, and multi-region connectivity, strong proficiency in Terraform and proven experience managing complex network infrastructure deployments, extensive experience designing and implementing centralised egress architectures using AWS Network Firewall, including policy management and traffic inspection, proven track record of delivering large-scale network infrastructure projects in fast-paced environments, excellent problem-solving skills with the ability to think critically and creatively about complex network challenges, strong communication and collaboration skills with the ability to work effectively in cross-functional and team-oriented environments, experience working with agile methodologies and DevOps practices applied to network infrastructure, ability to use a data-driven approach to network optimisation, capacity planning, and decision-making, fluent English communication skills. 🟣 Nice to have: experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Work from the European Union region and a work permit are required. 🟣 Recruitment Process: CV review – HR Call – Interview – Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budget of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, ISTQB, PSM, access to Udemy, Safari Books Online and more, events and technology conferences, technology Guilds, internal training, Xebia Library, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, MultiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: flexible working hours, B2B or permanent contract, contract for an indefinite period.

🏢 Summary: Offer for an experienced DevOps Engineer to build a new AWS infrastructure from scratch and migrate two key applications to the cloud. The role focuses on Infrastructure as Code, CI/CD automation, container orchestration, and ensuring system reliability, security, and scalability. The position is office-based in Warsaw and involves close collaboration with development teams. 🗂️ Requirements: Minimum 3 years experience as DevOps Engineer or Cloud Engineer, Strong knowledge of AWS, Practical experience with Terraform, Experience with Docker and Kubernetes, Experience with CI/CD and automation tools, Good knowledge of Linux/Unix systems, Scripting skills in Bash, Python, Groovy or Go, Experience working with Java-based development teams, Higher technical education, Very good English skills 📃 Skills: AWS, Terraform, Kubernetes, Docker, Jenkins, Ansible, Linux, Bash, Python, Groovy, Go, Java 🏢 Description: DevOps Engineer (AWS / Terraform) 🚀 Lokalizacja: Warszawa, Wola - blisko stacji metra. 🛠 Technologie: AWS, Terraform, Kubernetes, Java ecosystem Projekt: Budowa od zera nowej infrastruktury AWS i migracja dwóch kluczowych aplikacji. Warunki: 140 - 170zł/h - B2B 🏝 On-call: Brak O stanowisku Poszukujemy doświadczonego DevOps Engineera, który dołączy do projektu obejmującego budowę nowego środowiska AWS dla dwóch kluczowych aplikacji oraz migrację ich z istniejącej infrastruktury. Osoba na tym stanowisku będzie odpowiedzialna za rozwój i utrzymanie infrastruktury jako kodu, automatyzację procesów deploymentu oraz współpracę z zespołami developerskimi i operacyjnymi w celu zapewnienia stabilności, bezpieczeństwa i skalowalności środowiska. Stanowisko jest przypisane do biura w Warszawie. Zakres obowiązków Tworzenie, rozwijanie i utrzymywanie infrastruktury jako kodu (Infrastructure as Code) dla różnych środowisk. Rozwijanie oraz utrzymywanie konfiguracji jako kodu wspierającej pełny proces dostarczania usług. Współpraca z zespołami developerskimi i operacyjnymi w celu zapewnienia płynnych wdrożeń oraz skalowalności aplikacji. Budowanie i utrzymywanie pipeline’ów CI/CD. Monitorowanie wydajności systemów oraz rozwiązywanie problemów związanych z dostępnością i niezawodnością środowisk. Wdrażanie nowych technologii i usprawnień wspierających kulturę ciągłego doskonalenia. Udział w projektowaniu i implementacji mechanizmów bezpieczeństwa chroniących dane i infrastrukturę. Wsparcie migracji aplikacji do nowego środowiska AWS. Wymagania Minimum 3 lata doświadczenia na stanowisku DevOps Engineer, Cloud Engineer lub podobnym. Bardzo dobra znajomość AWS oraz praktyczne doświadczenie z Terraform. Doświadczenie w pracy z konteneryzacją i orkiestracją (Docker, Kubernetes). Znajomość narzędzi CI/CD oraz automatyzacji, takich jak Jenkins, Ansible czy Terraform. Dobra znajomość systemów Linux/Unix. Umiejętność skryptowania w Bash, Python, Groovy lub Go. Doświadczenie we współpracy z zespołami developerskimi pracującymi głównie w technologii Java. Umiejętność analitycznego myślenia i rozwiązywania problemów. Komunikatywność i umiejętność pracy zespołowej. Wykształcenie wyższe techniczne (informatyka, inżynieria lub pokrewne). Bardzo dobra znajomość języka angielskiego. Mile widziane Certyfikacje AWS lub inne certyfikaty chmurowe / DevOps. Doświadczenie z narzędziami monitoringu i log managementu (Prometheus, Grafana, ELK Stack). Znajomość zagadnień związanych z architekturą sieciową oraz security best practices. Doświadczenie z administracją bazami danych SQL/NoSQL i optymalizacją wydajności. Doświadczenie pracy w środowisku regulowanym (np. PCI). Znajomość GCP lub Azure.

🏢 Summary: Senior DevOps Engineer role focused on designing, automating, and operating AWS-based cloud infrastructure for a large-scale data and AI platform. The position centers on Infrastructure as Code, platform reliability, and enabling secure, scalable analytics workloads using Databricks and Amazon Athena. You will work hands-on with cloud and DevOps technologies in a cross-functional data environment. 🗂️ Requirements: Experience as DevOps Engineer in production cloud environments, Strong hands-on experience with AWS services, Practical experience with Databricks in cloud environments, Experience designing and managing infrastructure with Terraform, Hands-on experience with Amazon Athena, Experience with CI/CD pipelines, Experience with Git-based workflows, Knowledge of Docker and Kubernetes, Experience working with data or analytics platforms, Professional proficiency in French, Professional working proficiency in English 📃 Skills: AWS, Databricks, Terraform, Athena, Docker, Kubernetes, Airflow, MLflow, CI/CD, Git, Python, Shell, Monitoring, Logging, Cloud 🏢 Description: Client The world’s largest sporting goods retailer, with a global team of 5,000+ experts across engineering, product, data, cloud, and cybersecurity, is building the largest digital sports platform—driving innovation from product design to customer experience and sustainability. Project overview The project focuses on a cloud-native data platform supporting large-scale analytics, AI, and data processing workloads.The platform leverages technologies such as Databricks and Amazon Athena, ensuring high standards for automation, scalability, security, and operational excellence. Team You will work in a cross functional team that includes DevOps engineers, data engineers, software developers, and product stakeholders. The team collaborates closely, sharing responsibility for infrastructure quality, deployment pipelines, and platform stability. Position overview We are looking for a Senior DevOps Engineer to design, automate, and operate cloud infrastructure supporting data and AI workloads. You will focus on infrastructure automation, platform reliability, and enabling data workloads to run securely and efficiently in the cloud. The role combines hands on technical work with close collaboration across engineering and data teams. Technology stack AWS, Databricks, Terraform, AWS Cloud services, Amazon Athena, Docker, Kubernetes, Airflow, MLflow, CI CD pipelines, Git based workflows, monitoring and logging tools, scripting languages Responsibilities Design, implement, and maintain cloud infrastructure on AWS using Infrastructure as Code practices Build and manage Terraform based infrastructure to support data and analytics workloads Support and optimize Databricks environments running on AWS Configure and manage Amazon Athena for querying and analytics use cases Develop, maintain, and improve CI CD pipelines for infrastructure and platform components Monitor platform performance, availability, and security and address operational issues Collaborate with data engineers and developers to translate platform requirements into technical solutions Troubleshoot infrastructure and deployment issues and perform root cause analysis Contribute to platform standardization, documentation, and continuous improvement initiatives Requirements Experience working as a DevOps Engineer in production cloud environments Strong hands on experience with AWS services Practical experience using Databricks in a cloud based environment Experience designing and managing infrastructure with Terraform Hands on experience with Amazon Athena Experience working with CI CD pipelines and Git based workflows Knowledge of containerization (Docker, Kubernetes) Experience working in data or analytics platforms Ability to communicate effectively in French in a professional context Professional working proficiency in English Nice to have Experience with data engineering or analytics platforms Exposure to multi-cloud architectures (AWS & GCP) Experience in enterprise-scale environments Strong interest in AI / Generative AI technologies Scripting or programming experience with Python, Shell, or similar languages Experience working in large scale or enterprise environments What We Offer: Vacation days : Up to 26 business days per year. 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types Health and life insurance (Luxmed) MyBenefit platform with Multisport option Internal psychological support service English language classes from the first working day Access to external learning platforms : O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training Flexible workplace : work from the office, from home, or choose a hybrid option Tech Skills Mentoring Program Opportunities to develop as a public speaker, mentor, or technical interviewer Fully paid idle (bench) when not involved in a project Certification reimbursement (AWS, GCP, Microsoft, etc.)

🏢 Summary: Offer for an experienced DevOps Engineer to build a new AWS infrastructure from scratch and migrate two key applications to the new cloud environment. The role focuses on Infrastructure as Code, CI/CD automation, and ensuring scalability, security, and reliability of AWS-based systems. Position is based in Warsaw with no on-call duties. 🗂️ Requirements: Minimum 3 years of experience as DevOps Engineer or Cloud Engineer, Strong knowledge of AWS, Hands-on experience with Terraform, Experience with Docker and Kubernetes, Experience with CI/CD tools and automation, Knowledge of Linux/Unix systems, Scripting skills in Bash, Python, Groovy or Go, Experience working with Java-based development teams, Higher technical education, Very good English skills 📃 Skills: AWS, Terraform, Kubernetes, Docker, Jenkins, Ansible, Linux, Unix, Bash, Python, Groovy, Go, Java, Prometheus, Grafana, ELK, SQL, NoSQL, GCP, Azure 🏢 Description: DevOps Engineer (AWS / Terraform) 🚀 Lokalizacja: Warszawa, Wola - blisko stacji metra. 🛠 Technologie: AWS, Terraform, Kubernetes, Java ecosystem Projekt: Budowa od zera nowej infrastruktury AWS i migracja dwóch kluczowych aplikacji. Warunki: 140 - 170zł/h - B2B 🏝 On-call: Brak O stanowisku Poszukujemy doświadczonego DevOps Engineera, który dołączy do projektu obejmującego budowę nowego środowiska AWS dla dwóch aplikacji oraz migrację z istniejącej infrastruktury chmurowej. Osoba na tym stanowisku będzie odpowiedzialna za rozwój i utrzymanie infrastruktury jako kodu, automatyzację procesów deploymentu oraz współpracę z zespołami developerskimi i operacyjnymi w celu zapewnienia stabilności, bezpieczeństwa i skalowalności środowiska. Stanowisko jest przypisane do biura w Warszawie. Zakres obowiązków Tworzenie, rozwijanie i utrzymywanie infrastruktury jako kodu (Infrastructure as Code) dla różnych środowisk. Rozwijanie oraz utrzymywanie konfiguracji jako kodu wspierającej pełny proces dostarczania usług. Współpraca z zespołami developerskimi i operacyjnymi w celu zapewnienia płynnych wdrożeń oraz skalowalności aplikacji. Budowanie i utrzymywanie pipeline’ów CI/CD. Monitorowanie wydajności systemów oraz rozwiązywanie problemów związanych z dostępnością i niezawodnością środowisk. Wdrażanie nowych technologii i usprawnień wspierających kulturę ciągłego doskonalenia. Udział w projektowaniu i implementacji mechanizmów bezpieczeństwa chroniących dane i infrastrukturę. Wsparcie migracji aplikacji do nowego środowiska AWS. Wymagania Minimum 3 lata doświadczenia na stanowisku DevOps Engineer, Cloud Engineer lub podobnym. Bardzo dobra znajomość AWS oraz praktyczne doświadczenie z Terraform. Doświadczenie w pracy z konteneryzacją i orkiestracją (Docker, Kubernetes). Znajomość narzędzi CI/CD oraz automatyzacji, takich jak Jenkins, Ansible czy Terraform. Dobra znajomość systemów Linux/Unix. Umiejętność skryptowania w Bash, Python, Groovy lub Go. Doświadczenie we współpracy z zespołami developerskimi pracującymi głównie w technologii Java. Umiejętność analitycznego myślenia i rozwiązywania problemów. Komunikatywność i umiejętność pracy zespołowej. Wykształcenie wyższe techniczne (informatyka, inżynieria lub pokrewne). Bardzo dobra znajomość języka angielskiego. Mile widziane Certyfikacje AWS lub inne certyfikaty chmurowe / DevOps. Doświadczenie z narzędziami monitoringu i log managementu (Prometheus, Grafana, ELK Stack). Znajomość zagadnień związanych z architekturą sieciową oraz security best practices. Doświadczenie z administracją bazami danych SQL/NoSQL i optymalizacją wydajności. Doświadczenie pracy w środowisku regulowanym (np. PCI). Znajomość GCP lub Azure.

🏢 Summary: Offer for a DevOps Engineer to build a new AWS infrastructure from scratch and migrate two key applications to a modern cloud environment. The role focuses on Infrastructure as Code, CI/CD automation, and ensuring scalability, security, and reliability of AWS-based systems. Position is office-based in Warsaw with no on-call duties. 🗂️ Requirements: Minimum 3 years of experience as DevOps or Cloud Engineer, Strong knowledge of AWS, Hands-on experience with Terraform, Experience with Docker and Kubernetes, Experience with CI/CD tools (e.g. Jenkins, Ansible), Strong knowledge of Linux/Unix systems, Scripting skills in Bash, Python, Groovy or Go, Experience supporting Java-based environments 📃 Skills: AWS, Terraform, Kubernetes, Docker, Jenkins, Ansible, Linux, Unix, Bash, Python, Groovy, Go, CICD, Java 🏢 Description: DevOps Engineer (AWS / Terraform) 🚀 Lokalizacja: Warszawa, Wola - blisko stacji metra. 🛠 Technologie: AWS, Terraform, Kubernetes, Java ecosystem Projekt: Budowa od zera nowej infrastruktury AWS i migracja dwóch kluczowych aplikacji. Warunki: 140 - 170zł/h - B2B 🏝 On-call: Brak O stanowisku Poszukujemy doświadczonego DevOps Engineera, który dołączy do projektu obejmującego budowę nowego środowiska AWS dla dwóch aplikacji oraz migrację z istniejącej infrastruktury chmurowej. Osoba na tym stanowisku będzie odpowiedzialna za rozwój i utrzymanie infrastruktury jako kodu, automatyzację procesów deploymentu oraz współpracę z zespołami developerskimi i operacyjnymi w celu zapewnienia stabilności, bezpieczeństwa i skalowalności środowiska. Stanowisko jest przypisane do biura w Warszawie. Zakres obowiązków Tworzenie, rozwijanie i utrzymywanie infrastruktury jako kodu (Infrastructure as Code) dla różnych środowisk. Rozwijanie oraz utrzymywanie konfiguracji jako kodu wspierającej pełny proces dostarczania usług. Współpraca z zespołami developerskimi i operacyjnymi w celu zapewnienia płynnych wdrożeń oraz skalowalności aplikacji. Budowanie i utrzymywanie pipeline’ów CI/CD. Monitorowanie wydajności systemów oraz rozwiązywanie problemów związanych z dostępnością i niezawodnością środowisk. Wdrażanie nowych technologii i usprawnień wspierających kulturę ciągłego doskonalenia. Udział w projektowaniu i implementacji mechanizmów bezpieczeństwa chroniących dane i infrastrukturę. Wsparcie migracji aplikacji do nowego środowiska AWS. Wymagania Minimum 3 lata doświadczenia na stanowisku DevOps Engineer, Cloud Engineer lub podobnym. Bardzo dobra znajomość AWS oraz praktyczne doświadczenie z Terraform. Doświadczenie w pracy z konteneryzacją i orkiestracją (Docker, Kubernetes). Znajomość narzędzi CI/CD oraz automatyzacji, takich jak Jenkins, Ansible czy Terraform. Dobra znajomość systemów Linux/Unix. Umiejętność skryptowania w Bash, Python, Groovy lub Go. Doświadczenie we współpracy z zespołami developerskimi pracującymi głównie w technologii Java. Umiejętność analitycznego myślenia i rozwiązywania problemów. Komunikatywność i umiejętność pracy zespołowej. Wykształcenie wyższe techniczne (informatyka, inżynieria lub pokrewne). Bardzo dobra znajomość języka angielskiego. Mile widziane Certyfikacje AWS lub inne certyfikaty chmurowe / DevOps. Doświadczenie z narzędziami monitoringu i log managementu (Prometheus, Grafana, ELK Stack). Znajomość zagadnień związanych z architekturą sieciową oraz security best practices. Doświadczenie z administracją bazami danych SQL/NoSQL i optymalizacją wydajności. Doświadczenie pracy w środowisku regulowanym (np. PCI). Znajomość GCP lub Azure.

🏢 Summary: The offer is for a Senior DevOps Engineer to support a fintech IT transformation project focused on building secure and scalable AWS cloud infrastructure and CI/CD pipelines. The role involves designing and maintaining production-grade AWS environments, implementing Infrastructure as Code with Terraform, and driving DevOps and DevSecOps best practices. The project leverages modern cloud, container, and automation technologies in a payments technology domain. 🗂️ Requirements: Minimum 5 years of hands-on experience with AWS, Deep knowledge of core AWS services including ECS, EKS, Lambda, EC2, S3, VPC, IAM, RDS, DynamoDB, Experience designing and maintaining production-grade AWS infrastructure, Experience with AWS Cognito and security best practices (IAM, KMS, Secrets Manager), Advanced experience with Terraform and Infrastructure as Code, Experience managing remote Terraform state with S3 and DynamoDB, Strong experience with Ansible for configuration management, Strong knowledge of Linux (RHEL-based systems), Proficiency in Python for automation and AWS integrations, Experience designing and maintaining CI/CD pipelines, Experience with Jenkins, GitLab CI, Azure DevOps or GitHub Actions, Hands-on experience with Docker and Kubernetes (preferably EKS), Experience with monitoring and observability tools, Practical knowledge of SQL and NoSQL databases, Very good knowledge of Git and branching strategies 📃 Skills: AWS, Terraform, EKS, ECS, Lambda, EC2, S3, IAM, RDS, DynamoDB, Cognito, Ansible, Linux, Python, Node.js, Jenkins, GitLab, Azure, GitHub, Docker, Kubernetes, ArgoCD, FluxCD, Grafana, Prometheus, CloudWatch, Loki, Datadog, Splunk, PostgreSQL, MySQL, MongoDB, Git 🏢 Description: Team Connect jest wiodącym polskim dostawcą usług IT typu nearshore i offshore. Od 2008 roku z sukcesem tworzymy i rozwijamy oprogramowanie dla naszych klientów. Jesteśmy również certyfikowanym partnerem Salesforce. Specjalizujemy się w tworzeniu oprogramowania w oparciu o Agile i DevOps. Od etapu analizy po wdrożenie. Tworzymy aplikacje backendowe, frontendowe i mobilne. Dla jednego z naszego Klientów poszukujemy osoby na stanowisko Senior Devops Engineera , który posiada praktyczne doświadczenie w projektowaniu, wdrażaniu i obsłudze infrastruktur chmurowych AWS, automatyzacji procesów oraz tworzeniu bezpiecznych i skalowalnych potoków CI/CD. Lokalizacja: praca hybrydowa z Warszawy Opis: Projekt będzie dotyczył transformacji IT w sektorze fintech, wykorzystującej technologie Java 21/Spring Boot i kładącej duży nacisk na jakość oprogramowania oraz praktyki programistyczne. Projekt dotyczy branży technologii płatności, kształtując sposób, w jaki świat płaci i otrzymuje płatności. Technologia Klienta napędza rozwój milionów firm na 5 kontynentach. Kluczowe technologie: AWS, Terraform (IaC), EKS, CI/CD, Python. Zakres obowiązków: Współpraca z zespołami programistycznymi w celu wdrażania najlepszych praktyk DevOps i DevSecOps w środowiskach produkcyjnych. Aktywny udział i wkład we wszystkich fazach cyklu życia produktu, w tym w fazie odkrywania, dostarczania i operacji. Realizacja wyznaczonych celów, dostosowując się do wszelkich wymagań niezbędnych do osiągnięcia celu. Wymagania: Cloud Platform - AWS: min. 5 lat praktycznego doświadczenia w pracy z AWS. dogłębna znajomość podstawowych usług AWS, w tym: ECS, EKS, Lambda, EC2, S3, EBS, VPC, IAM, CloudWatch, CloudTrail Route 53, API Gateway, EventBridge, SNS, SQS RDS, Aurora PostgreSQL, DynamoDB doświadczenie z AWS Cognito: pule użytkowników, pule tożsamości, klienci aplikacji i procesy uwierzytelniania. solidne zrozumienie najlepszych praktyk bezpieczeństwa AWS: IAM oparty na zasadzie minimalnych uprawnień, KMS, Secrets Manager, certyfikaty ACM. doświadczenie z Route 53: publiczne i prywatne strefy hostowane, zarządzanie DNS oraz integracja usług. znajomość architektur wielo-kontowych, AWS Landing Zones oraz granic uprawnień. sprawdzona umiejętność projektowania i utrzymywania bezpiecznych, skalowalnych infrastruktur AWS klasy produkcyjnej. certyfikat AWS Solutions Architect (Associate/Professional) lub równoważne doświadczenie. Infrastruktura jako kod – Terraform: zaawansowane doświadczenie w pracy z Terraform: projektowanie modułów wielokrotnego użytku z kontrolą wersji. zdalne zarządzanie stanem przy użyciu S3 i DynamoDB. architektury IaC dla wielu środowisk (dev, qa, sta, prod). doświadczenie w zarządzaniu stanem Terraform, radzeniu sobie z odchyleniami oraz refaktoryzacji IaC. znajomość: Checkov, TFLint, terraform-docs w zakresie bezpieczeństwa i jakości kodu. certyfikat Terraform Associate (mile widziany). Zarządzanie konfiguracją i automatyzacja: bogate doświadczenie w pracy z Ansible: tworzenie ról, skryptów, wykazów zasobów oraz gotowych wzorców automatyzacji. integracja z procesami CI/CD oraz środowiskami hybrydowymi. Systemy operacyjne i skrypty: dogłębna znajomość systemu Linux, zwłaszcza systemów opartych na RHEL. doświadczenie w pracy z serwerami bastionowymi i bezpiecznym dostępem SSH. biegła znajomość języka Python: skrypty automatyzacyjne, integracje z AWS (boto3), narzędzia wewnętrzne. doświadczenie w korzystaniu z Node.js do tworzenia skryptów oraz zadań związanych z CI/CD. CI/CD i DevSecOps: doświadczenie w projektowaniu i utrzymywaniu kompleksowych potoków CI/CD. praktyczne doświadczenie w pracy z potokami dla aplikacji backendowych i frontendowych, znajomość narzędzi i platformy: Jenkins, GitLab CI, Azure DevOps, GitHub Actions integracja z: SonarQube do kontroli jakości kodu. narzędzia do skanowania bezpieczeństwa i wdrażania polityk jako kodu (Checkov, Sentinel itp.). zautomatyzowane etapy testowania i walidacji. doświadczenie w pracy z rejestrami kontenerów: Amazon ECR, JFrog Artifactory, Nexus. Containers & Orchestration: bogate doświadczenie w pracy z Dockerem: optymalizacja obrazów, kompilacje wieloetapowe, prywatne repozytoria. dobra praktyczna znajomość Kubernetes, najlepiej EKS. znajomość praktyk i narzędzi GitOps: ArgoCD, FluxCD (mile widziane). certyfikaty CKA / CKAD będą dodatkowym atutem. Observability & Monitoring: praktyczne doświadczenie w korzystaniu z Grafany i Prometheusa do monitorowania infrastruktury oraz środowiska Kubernetes. doświadczenie w pracy z AWS CloudWatch (wskaźniki, logi, alarmy, pulpity nawigacyjne). doświadczenie w pracy z Loki w zakresie scentralizowanej agregacji logów. doświadczenie w pracy z Datadog w zakresie monitorowania infrastruktury, APM i alertów. doświadczenie w pracy z Splunk i Logz.io w zakresie zarządzania logami i ich analizy. znajomość najlepszych praktyk dotyczących alertów, wskaźników SLI/SLO oraz rozwiązywania problemów związanych z incydentami. Bazy danych: praktyczna znajomość baz danych SQL i NoSQL: PostgreSQL, MySQL, MongoDB. doświadczenie w pracy z bazami danych zarządzanymi przez AWS: RDS, Aurora PostgreSQL, DynamoDB. doświadczenie we wspieraniu aplikacji opartych na bazach danych w środowiskach chmurowych. Dodatkowe umiejętności: biegła znajomość systemu Git oraz popularnych strategii tworzenia gałęzi. doświadczenie w zakresie rozwiązań do monitorowania, rejestrowania zdarzeń i powiadamiania. znajomość zasad niezmiennej infrastruktury oraz ciągłego dostarczania. doskonałe umiejętności w zakresie rozwiązywania problemów na poziomie infrastruktury, sieci oraz aplikacji. doskonałe umiejętności w zakresie dokumentacji oraz doświadczenie w przekazywaniu wiedzy. Benefity: Długofalowa współpraca. Pakiet benefitów – Multisport, prywatna opieka medyczna, ubezpieczenie na życie. Budżet szkoleniowy. Bezpłatne lekcje angielskiego. Indywidualne wsparcie ze strony dedykowanego opiekuna firmy.