DevOps Engineer - API Management

🏢 Summary: DevOps Engineer role focused on managing and improving cloud-native production infrastructure for cryptocurrency security solutions. The position involves deploying, maintaining, and validating multi-tier systems across staging, preproduction, and production environments while ensuring high reliability and documentation standards. You will work with international engineering teams to support CI/CD processes and continuous infrastructure improvements. 🗂️ Requirements: Experience with Linux/Unix and shell scripting, Knowledge of networks and network protocols, Experience with multi-tier software deployments, Hands-on experience with software development lifecycle, Experience with Kubernetes, Basic knowledge of AWS and cloud concepts, Knowledge of SQL database concepts and operations, Experience with CI/CD pipelines, Ability to perform system upgrades, patching, and validation, Technical documentation skills in English 📃 Skills: Linux, Unix, Shell, Kubernetes, AWS, SQL, CI/CD, Docker, Helm, EKS, Spinnaker, ArgoCD, SaltStack, Terraform, Git, GitHub, Ubuntu, Jira, Confluence, IaC, Blockchain 🏢 Description: Hey! Nice to see you! At Incubly , we believe that great people want to work with great people, so we started to build a company that will attract great minds and that we can achieve everything not feeling that we work, but just having fun. Our mission is to mainly support tech companies and startups (scaleups) in fast and high-quality scale-up of their teams and boost their product development, testing, and deployment, so, we can succeed together. We are currently working with a French company which is a leader in security and infrastructure solutions for cryptocurrencies and blockchain applications. It has a team of more than 400 professionals developing a variety of products and services to safeguard cryptocurrency assets, including worldwide leading hardware wallets. As a DevOps Engineer , you will become a part of an international team responsible for engineering activities to support production services and infrastructure in a cloud-native environment. If you like to work with us, let us share our need for competencies. Your daily responsibilities Implement deployments to staging, preproduction and production environments, including installation, configuration, and validation of the developed solutions Management of environmental dependencies and constraints during solution deployment to ensure smooth transitions to the Support branch of the organisation. Preparations for deployments and maintenance of the production environments.  So ensure accurate delivery as well as provide control that all changes are done in a documented way. Perform validation of changes received from Engineering teams as part of the delivery process. Promptly highlight as relevant, any key issues and/or risks. Perform maintenance upgrades and patching of staging, preproduction and productions systems with further validation and documentation of the test results Document the setup of production environments in order to transfer the system to Support teams. You will have a key role to identify and implement practices, skills etc to deliver constant improvement. Quality Assurance, coaching and mentoring form a key part of this role. Report implementation, configuration, and testing progress to the Team Lead as required. Liaise with the Engineering and Product teams and Project Manager to carry out the tasks assigned for solution implementation, configuration, test execution and reporting. We need you to have Experience with Linux/Unix, including scripting (shell, etc). Knowledge of networks and network protocols. Some experience with deployments of multi-tier software systems. Hands-on experience with different stages of software development lifecycles. Experience with Kubernetes Basic knowledge of the Cloud concepts/AWS preferred. Knowledge of generic SQL database concepts and operations. Experience with CI/CD pipelines Effective communication that leads to excellent working relationships with all parties. Quickly identify, analyse and proactively solve problems before they affect the outcomes of projects. Good English oral and written communication skills. Particularly in the areas of technical presentation and technical document writing. Would be great if you have Quickly learn new skills and technologies. Work effectively with people across multiple organisational, functional, geographic and cultural boundaries, and across a wide spectrum of technical and professional skills. Work autonomously as and when required. Basic knowledge of blockchain technologies Our Architecture and Technology Stack AWS Kubernetes, EKS Helm Charts Docker Spinnaker/ArgoCD SaltStack, Terraform CI/CD pipelines Git, GitHub Ubuntu Jira, Confluence IaC/Infrastructure as Code Our offer In addition to great company and challenging projects, we can offer much, much more: Agile and friendly atmosphere, non-violent communication and full respect for diversity Possibility to choose from onsite (in Lodz, Poland) or hybrid work (one day a week in our office in Łódź city centre) B2B or Employment Contract - you choose Remuneration on B2B contract: 1.200-1.300 PLN net/day Remuneration on Employment Agreement: 19 000 - 21 000 PLN gross per month

🏢 Summary: Hands-on DevOps Engineer role focused on building and operating automation, deployment, and reliability standards for large-scale GPU infrastructure supporting AI training and inference. The position involves Infrastructure as Code, CI/CD, observability, security, and low-level automation across bare-metal servers, networking, storage, and Kubernetes-based platforms. The role emphasizes reliability, scalability, and automation in complex, high-performance environments. 🗂️ Requirements: 4–7 years in DevOps, SRE, or Platform Engineering, Experience with infrastructure automation in production environments, Hands-on experience with Terraform or Ansible, Experience building and maintaining CI/CD pipelines, Knowledge of GitOps practices, Understanding of infrastructure security and vulnerability management, Experience with security tools (e.g., Snyk, CrowdStrike), Practical experience with Kubernetes, Experience with GPU technologies (e.g., NVIDIA GPU Operator, MIG), Scripting or programming skills in Python, Go, or Bash, Experience with bare-metal provisioning or low-level infrastructure automation, Knowledge of observability tools (Prometheus, Grafana, Loki, OpenTelemetry) 📃 Skills: Terraform, Ansible, Kubernetes, Python, Go, Bash, Prometheus, Grafana, Loki, OpenTelemetry, Snyk, CrowdStrike, NVIDIA, MIG, CI/CD, GitOps 🏢 Description: About the role We are looking for a DevOps Engineer to help build and operate automation, deployment, and reliability standards for large-scale GPU infrastructure used for AI training and inference workloads. In this role, you will work on software-defined infrastructure supporting GPU clusters, high-performance networking, storage platforms, and internal AI services. This is a hands-on position for someone who is comfortable working close to infrastructure, improving operational processes, and building reliable automation in a complex technical environment. Responsibilities Design, implement, and maintain Infrastructure as Code solutions for provisioning and managing bare-metal GPU servers, networking, storage, and cluster orchestration components Build and improve CI/CD pipelines for infrastructure, platform services, and internal tooling Develop and maintain monitoring, logging, alerting, and observability solutions for large-scale GPU environments Support reliability initiatives by defining and tracking SLIs/SLOs , automating incident response, and contributing to post-incident analysis Automate operational tasks such as cluster scaling, firmware and BIOS updates, hardware validation, diagnostics, and capacity planning Work closely with Infrastructure, Networking, Facilities, and AI/ML teams to ensure stable and scalable platform operations Support DevSecOps practices, including infrastructure hardening, vulnerability management, and compliance automation Identify repetitive manual work and replace it with efficient automation Evaluate new tools and solutions related to GPU infrastructure, orchestration, and cloud-native operations Requirements 4–7 years of experience in DevOps, SRE, Platform Engineering , or a similar role Strong practical experience with infrastructure automation in complex production environments Good hands-on knowledge of Terraform, Ansible , or similar Infrastructure as Code tools Experience building and maintaining CI/CD pipelines and working with GitOps practices Good understanding of infrastructure security, vulnerability management, and security best practices Experience with security tools such as Snyk, CrowdStrike , or similar solutions Practical experience with Kubernetes Experience working with GPU-related technologies such as NVIDIA GPU Operator, device plugins, MIG, or time-slicing Good scripting or programming skills in Python, Go, or Bash Experience with bare-metal provisioning, low-level infrastructure automation, or data center operations Good knowledge of observability tools such as Prometheus, Grafana, Loki, and OpenTelemetry Ability to work independently, prioritize tasks, and communicate effectively with technical teams English proficiency at least at a communicative level is required, as you will be working in an international team Nice to have Experience in AI infrastructure, HPC environments, hyperscale infrastructure, or data center operations Familiarity with orchestration and scheduling tools such as Slurm, Ray, Run:ai, KServe , or Kubernetes-based schedulers Experience integrating telemetry from power, cooling, or environmental systems Experience building internal platforms or self-service tools for engineering teams Understanding of compliance and audit requirements in security-sensitive environments What we offer Benefits package Opportunity to work on advanced infrastructure supporting large-scale AI workloads Real impact on the reliability and scalability of next-generation compute environments Collaboration with experienced engineers across infrastructure, platform, and AI domains A fast-moving environment with space for ownership, technical input, and professional growth

🏢 Summary: Senior GCP & Kubernetes DevOps Engineer role focused on migrating 100+ microservices to Google Cloud Platform and operating a scalable, production-ready Kubernetes platform. The position centers on building CI/CD pipelines, implementing observability, and ensuring reliability and security of containerized Java and Python services. It combines hands-on platform engineering with support for large-scale cloud transformation in a global environment. 🗂️ Requirements: 5+ years hands-on Kubernetes experience (preferably GKE), Experience operating or migrating large-scale microservices platforms, Strong support experience with Java and Python microservices on Kubernetes, Experience building CI/CD pipelines for containerized applications, Hands-on Infrastructure as Code experience (Terraform preferred), Experience with monitoring, observability and distributed tracing tools, Knowledge of incident management and production support practices, Fluent English, Legal right to work in the European Union 📃 Skills: GCP, GKE, Kubernetes, Docker, Helm, Terraform, CI/CD, Prometheus, Grafana, Loki, Tempo, Java, Python, Istio, IAM, VPC 🏢 Description: Unleash Innovation in Cloud DevOps — Transform Microservices into Scalable Powerhouses on GCP! Krakow-based opportunity with hybrid work model (up to 3 remote days per week). As a Senior GCP & Kubernetes DevOps Engineer , you will be working for our client, a leading financial technology organization driving large-scale digital transformation within Global Markets Technology. You will support a major migration project involving over 100 microservices to Google Cloud Platform (GCP), focusing on Kubernetes, observability, and platform reliability. This role offers an exciting opportunity to shape resilient, production-ready infrastructure while fostering innovation and continuous improvement. Your main responsibilities: Engineer and operate the target platform on GCP/GKE to support the migration of 100+ microservices. Partner with application delivery teams to onboard services onto Kubernetes, including deployment patterns, configuration, and operational readiness. Provide hands-on support deploying Java and Python microservices into Kubernetes (using manifests/Helm, config, secrets, scaling, health checks). Build and standardise CI/CD pipelines for containerised workloads, ensuring security and reliability. Implement observability solutions: metrics, logs, distributed tracing (preferably Grafana stack), dashboards, alerting, and SLO reporting. Drive platform reliability and support: incident management, root cause analysis, and preventative enhancements. Identify and address technical debt; propose platform improvements to reduce operational toil and enhance developer experience. Ensure solutions comply with security controls, operational guidelines, and technology standards. Collaborate effectively within a global, dispersed team, sharing knowledge and best practices. You're ideal for this role if you have: A minimum of 5 years of hands-on experience with Kubernetes, ideally GKE, including deployment, ingress, configuration, and troubleshooting. Proven experience migrating or operating microservices platforms at scale. Strong expertise supporting Java and Python microservices within Kubernetes environments. In-depth knowledge of monitoring, observability, and tracing tools, preferably Grafana stacks (e.g., Prometheus, Loki, Tempo). Experience building and maintaining CI/CD pipelines for containerised applications. Skills in Infrastructure as Code (Terraform preferred) and automated environment provisioning. A solid production mindset: reliability, incident response, and continuous improvement. Ability to work effectively with local and global teams, with excellent written and spoken English. A delivery-driven and pragmatic approach, balancing speed, control, and risk management. Open-minded, eager to learn, and capable of guiding colleagues as needed. It is a strong plus if you have: Experience with GCP services supporting GKE (IAM, VPC, Cloud Logging/Monitoring, Artifact Registry). Helm chart development and standardisation across teams. Service mesh experience (Istio) and ingress patterns. Knowledge of security tooling (container scanning, policy-as-code, workload identity). Previous experience with cloud migration or platform engineering projects. Familiarity with Javascript/Vue. Language Required for the role: Fluent English, both written and spoken. Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: The offer is for an experienced DevOps Engineer to design, automate, and maintain cloud infrastructure in a regulated banking environment using Google Cloud Platform. The role focuses on managing GCP resources, Kubernetes clusters, Infrastructure-as-Code, and CI/CD pipelines to ensure secure and stable mission-critical systems. It requires hands-on cloud engineering and automation expertise within a distributed team. 🗂️ Requirements: Minimum 3 years of experience managing virtual machines in GCP (Compute Engine), Hands-on experience with Kubernetes (GKE), Experience creating and maintaining Infrastructure-as-Code with Terraform, Experience building and maintaining CI/CD pipelines, Practical experience with Python scripting, Understanding of software development best practices, Fluency in Polish and English, Willingness to work hybrid model in Cracow, Residence in Poland 📃 Skills: GCP, ComputeEngine, Kubernetes, GKE, Terraform, CI/CD, Python, CloudLogging, CloudMonitoring 🏢 Description: Join our team and contribute to the design, development, and ongoing maintenance of infrastructure within regulated banking environments. We are seeking an experienced DevOps Engineer with hands‑on expertise in Google Cloud Platform, who will play a key role in ensuring the stability, security, compliance, and automation of mission‑critical systems. Your tasks Managing virtual machine environments and containerized applications in Google Kubernetes Engine (GKE) Monitoring and troubleshooting GCP environments using Cloud Logging, Cloud Monitoring, and Alerting Policies Creating and maintaining Infrastructure‑as‑Code (IaC) using Terraform Designing, building, and maintaining CI/CD pipelines to automate software delivery Developing and maintaining automation scripts using Python to improve operational efficiency Ensuring compliance with software development best practices, security standards, and organizational policies Analyzing and fulfilling requests from internal customers Collaborating within a globally distributed team in a dynamic environment Requirements At least 3 years of experience managing virtual machine environments in GCP (Compute Engine) Hands-on experience with Kubernetes (GKE) Expertise in creating and maintaining Infrastructure-as-Code with Terraform Strong understanding of CI/CD concepts and experience in building automated workflows Practical knowledge of Python for scripting and automation tasks Awareness of the need to follow best practices in software development Ability to work in a global, distributed team Fluency in both Polish and English (spoken and written) Willingness to work in a hybrid model – 3 day per week in the Cracow office Residing in Poland required What we offer Great Place to Work since 2015 - it’s thanks to feedback from our workers that we get this special title and constantly implement new ideas Employment stability - revenue of PLN 2.1BN, no debts, since 2006 on the market We share the profit with Workers - over PLN 76M has already been allocated for this aim since 2022 Attractive benefits package - private healthcare, benefits cafeteria platform, car discounts and more Comfortable workplace – class A offices or remote work Dozens of fascinating projects for prestigious brands from all over the world PLN 1 000 000 per year for your ideas - with this amount, we support the passions and voluntary actions of our workers Investment in your growth – meetups, webinars, training platform and technology blog – you choose Fantastic atmosphere created by all Sii Power People If you want to work on systems with high operational significance — apply now!

🏢 Summary: The offer is for an experienced DevOps Engineer to design, build, and optimize scalable cloud-native infrastructure and CI/CD ecosystems for large-scale, globally distributed enterprise systems. The role focuses on automation, reliability, monitoring, and continuous delivery across modern cloud platforms. You will collaborate with engineering and operations teams to modernize and maintain highly available cloud environments. 🗂️ Requirements: 5+ years experience in DevOps or software engineering for scalable distributed systems, Strong experience with Google Cloud Platform (GCP), Strong experience with Microsoft Azure, Hands-on experience with AKS, VNET, Key Vault, Application Insights, Logic Apps, Storage Accounts, Function Apps, Experience with CI/CD tools such as GitHub Actions or Azure DevOps, Experience with infrastructure automation, Experience with monitoring and logging solutions, Experience working in Agile environments, Strong troubleshooting and problem-solving skills, Understanding of security and operational best practices 📃 Skills: GCP, Azure, AKS, VNET, KeyVault, ApplicationInsights, LogicApps, StorageAccounts, FunctionApps, GitHubActions, AzureDevOps, CI/CD, Kubernetes, IaC, Monitoring, Logging, Cloud, DevOps 🏢 Description: With over 20 years of market experience, Intellias brings together technologists, creators, and innovators across Europe, North and Latin America, and the Middle East. Join our international team and help solve the advanced technology challenges of tomorrow. We are looking for an experienced DevOps Engineer who is passionate about building scalable cloud infrastructure, automating delivery processes, and improving system reliability in large-scale enterprise environments. In this role, you will work closely with engineering and operations teams to design, maintain, and optimize modern cloud-native infrastructure and CI/CD ecosystems supporting globally distributed systems. Project Overview Our client is a leading multi-brand technology solutions provider serving business, government, education, and healthcare customers across the United States, the United Kingdom, and Canada. A Fortune 500 company and member of the S&P 500 Index, the client was founded in 1984 and employs approximately 10,000 coworkers worldwide. Together with Intellias, the client is building and modernizing enterprise-scale platforms and cloud infrastructure supporting highly available, globally distributed systems. Responsibilities Design, build, and maintain CI/CD pipelines and infrastructure supporting continuous integration, delivery, and deployment Collaborate closely with development and operations teams to ensure high-quality, reliable, and efficient software delivery Automate manual operational processes, including testing, deployments, monitoring, and infrastructure management Develop and maintain monitoring, logging, and alerting solutions to proactively identify and resolve production issues Troubleshoot complex production incidents, perform root cause analysis, and implement long-term remediation plans Manage and optimize cloud infrastructure resources to ensure scalability, reliability, performance, and cost-efficiency Implement security best practices and support compliance with industry standards and regulations Continuously improve platform stability, automation, and operational efficiency Stay up to date with emerging DevOps technologies and industry best practices Requirements 5+ years of hands-on experience in software engineering or DevOps for highly scalable, highly available, globally distributed systems Strong experience with cloud platforms, particularly Google Cloud Platform (GCP) and Microsoft Azure Hands-on experience with Azure services, including: AKS VNET Key Vault Application Insights Logic Apps Storage Accounts Function Apps Experience with DevOps and CI/CD tooling such as GitHub Actions, Azure DevOps, or similar platforms Strong understanding of infrastructure automation and cloud-native environments Experience with monitoring, logging, and observability solutions Proven track record of delivering solutions in Agile environments Strong troubleshooting and problem-solving skills Good understanding of security and operational best practices Nice to Have Experience with Infrastructure-as-Code tools Experience working with Kubernetes and containerized environments Exposure to enterprise-scale cloud modernization initiatives Knowledge of cost optimization and cloud governance practices Perks and Benefits: Flexible work schedule Fixed financial bonus issued upfront on a quarterly basis, covering the average market price of private medical care and sport card - B2B contract Present on the occasion of birthday, wedding, child birth E-learning accounts for Coursera, O'Relly, Udemy Corporate language school This is an exciting opportunity to join a large-scale international project and contribute to building modern, reliable, and scalable cloud infrastructure solutions.

🏢 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: The offer is for a DevOps Engineer responsible for designing, building, and operating containerized and serverless workloads on AWS using ECS, EKS, Lambda, and Step Functions. The role focuses on infrastructure as code with Terraform and Helm, CI/CD pipeline implementation, and maintaining production systems in an Agile environment. It includes both greenfield development and ongoing operational support. 🗂️ Requirements: 3+ years of DevOps or relevant experience, Hands-on experience with AWS ECS (Fargate/EC2), Hands-on experience with AWS EKS and Kubernetes cluster operations, Hands-on experience with AWS Lambda, Hands-on experience with AWS Step Functions, Experience with Terraform including reusable modules and state management, Experience with Helm for Kubernetes deployments, Experience establishing and maintaining CI/CD pipelines, Proficiency with Git, Experience with JIRA, Working knowledge of MySQL, MSSQL, Oracle, Postgres, Working knowledge of Windows and Linux, Upper-intermediate English level 📃 Skills: AWS, ECS, EKS, Kubernetes, Lambda, StepFunctions, Terraform, Helm, CI/CD, Git, JIRA, MySQL, MSSQL, Oracle, Postgres, Windows, Linux 🏢 Description: ID62599 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a DevOps Engineer to design, build, and operate containerized and serverless workloads on AWS, working across ECS, EKS, Lambda, and Step Functions. You will implement infrastructure as code with Terraform and Helm, establish and maintain CI/CD pipelines, and provide technical mentorship while resolving complex infrastructure challenges. The role spans both greenfield prototyping and support of existing production systems in an Agile environment. What you will do Support and improve existing functionality; Prototype new solutions; Provide technical mentorship to your colleagues; Analyze and resolve intricate technical challenges; Design, build, and operate containerized and serverless workloads on AWS; Implement Infrastructure as Code and repeatable deployments for Kubernetes and serverless stacks; Establish and maintain CI/CD pipelines, monitoring, and operational runbooks. Must haves 3+ years of experience ; Hands-on AWS experience building and operating workloads with ECS (Fargate/EC2) for container orchestration; Hands-on AWS experience with EKS (Kubernetes) , including core K8s primitives and cluster operations; Hands-on AWS Lambda experience for serverless compute; Hands-on experience with AWS Step Functions for workflow/orchestration; Infrastructure as Code with Terraform , including writing reusable modules, workspaces, and state management; Experience with Helm , including authoring and maintaining charts for Kubernetes deployments; Proficient in using software collaboration tools such as JIRA ; Working knowledge of various databases, including MySQL , MSSQL , Oracle , and Postgres ; Working knowledge of various operating systems, including Windows and Linux ; Proficient in version control software such as Git ; Basic understanding of Agile Scrum methodologies; Excellent oral and written communication skills; Ability to work independently as well as within a collaborative environment; Upper-intermediate English level. Nice to haves Working knowledge of developing web-based client interfaces using React.js + TS ; Working knowledge of Java and Spring . The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!

🏢 Summary: DevOps Engineer role focused on building, scaling, and securing cloud infrastructure while enabling efficient CI/CD workflows. The position involves managing Kubernetes-based environments on AWS, optimizing automation, and ensuring high availability and performance of systems. The role also includes infrastructure as code, monitoring, database management, and secure authentication integration. 🗂️ Requirements: BA/BS in technical field or equivalent experience, 5+ years in DevOps, SRE, or Infrastructure Engineering, Strong experience with Kubernetes, Deep knowledge of AWS core services, Experience with containerization technologies, Strong understanding of networking concepts, Proficiency with infrastructure-as-code tools, Experience with monitoring tools, Strong scripting or programming skills, Solid understanding of system security best practices 📃 Skills: Kubernetes, AWS, EC2, S3, IAM, RDS, Docker, Helm, Terraform, Pulumi, CloudFormation, Prometheus, Grafana, CloudWatch, Python, Bash, Go, PostgreSQL, SAML, OAuth2, OIDC, ELK, Loki, FluentBit, GitHubActions, Jenkins, CircleCI, Ansible, EKS, GKE 🏢 Description: We are looking for a skilled and driven DevOps Engineer to join our growing team. In this role, you will take ownership of building, maintaining, and scaling the infrastructure that powers our platform. You will ensure our systems are secure, performant, and highly available, while enabling seamless development and deployment workflows. Responsibilities: Design, implement, and manage scalable infrastructure using Kubernetes and AWS. Optimize CI/CD pipelines to improve build and deployment times and reduce friction. Monitor and troubleshoot infrastructure performance and availability. Manage and maintain relational databases, primarily PostgreSQL. Implement and support secure authentication systems using SSO protocols (e.g., SAML, OIDC, OAuth2). Enhance infrastructure as code using tools like Terraform and Ansible. Ensure security best practices are applied across all infrastructure components. Collaborate cross-functionally with development, QA, and product teams. Drive automation of operational tasks to increase team efficiency and reduce manual toil. Required Skills: BA/BS in a technical or engineering discipline or equivalent experience 5+ years of experience in a DevOps, SRE, or Infrastructure Engineering role. Strong experience with Kubernetes (EKS, GKE, or self-managed). Deep knowledge of AWS core services (EC2, S3, IAM, RDS, etc.). Knowledge of containerization technologies (e.g., Docker, Kubernetes, Helm) Solid understanding of networking concepts (VPCs, subnets, routing, firewalls, DNS). Proficiency with infrastructure-as-code tools (Terraform, Pulumi, or CloudFormation). Comfortable with monitoring tools (Prometheus, Grafana, CloudWatch, etc.). Strong scripting or programming ability (Python, Bash, or Go). Solid understanding of system security and best practices. Preferred Skills: Familiarity with SSO protocols such as SAML, OAuth2, and OpenID Connect. Experience managing and tuning PostgreSQL in production environments. Exposure to log aggregation tools (ELK, Loki, or Fluent Bit). Experience with CI/CD tools like GitHub Actions, Jenkins, or CircleCI. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits

🏢 Summary: Technical leadership role combining hands-on DevOps/SRE engineering with team management to build and operate large-scale GPU infrastructure for AI workloads. Focused on infrastructure automation, reliability, observability, and high-performance networking across complex production environments. Responsible for shaping IaC standards, CI/CD, and operational excellence for software-defined, GPU-based platforms. 🗂️ Requirements: 8+ years in DevOps, SRE, or Platform Engineering, 3+ years in technical leadership role, Experience with large-scale infrastructure automation, Proficiency in Infrastructure as Code tools, Experience with GitOps and CI/CD, Hands-on experience with Kubernetes, Experience with GPU technologies, Scripting or programming in Python, Go, or Bash, Experience with bare-metal provisioning, Knowledge of observability and monitoring tools, Understanding of distributed systems reliability, Experience with high-performance networking technologies, Ability to lead technical discussions and mentor engineers, English proficiency at communicative level 📃 Skills: Terraform, Ansible, Pulumi, Crossplane, GitOps, Kubernetes, NVIDIA, MIG, Python, Go, Bash, Prometheus, Grafana, Loki, OpenTelemetry, RDMA, InfiniBand, RoCE, CI/CD 🏢 Description: About the role We are looking for a Lead DevOps Engineer to provide technical leadership for DevOps and Site Reliability Engineering practices supporting large-scale GPU infrastructure used for AI training and inference workloads. This role combines hands-on engineering with team leadership. You will be responsible for shaping automation standards, improving platform reliability, and leading a team working on software-defined infrastructure, high-performance networking, observability, and operational excellence across complex production environments. Responsibilities Lead, mentor, and support a team of DevOps and SRE engineers working across the full lifecycle of GPU infrastructure platforms Design and implement Infrastructure as Code solutions for provisioning and managing bare-metal GPU servers, networking, storage, and cluster orchestration components Build and improve CI/CD pipelines for infrastructure, platform services, and internal tooling Develop and maintain monitoring, logging, alerting, and observability solutions for large-scale GPU environments Define and track SLIs/SLOs , improve incident response processes, and contribute to post-incident reviews and long-term reliability improvements Work closely with Infrastructure, Networking, Facilities, and AI/ML teams to ensure stable and scalable platform operations Automate operational processes such as cluster scaling, firmware and BIOS updates, hardware diagnostics, and capacity planning Support DevSecOps practices, including infrastructure hardening, vulnerability management, and compliance automation Identify operational inefficiencies and reduce repetitive manual work through automation Evaluate and introduce new tools and solutions related to GPU infrastructure, orchestration, and cloud-native operations Requirements 8+ years of experience in DevOps, SRE, Platform Engineering , or a similar area At least 3 years of experience in a technical lead, lead engineer, or team leadership role Strong practical experience with infrastructure automation in large-scale or complex production environments Very good knowledge of Terraform, Ansible, Pulumi, Crossplane , or similar Infrastructure as Code tools Experience with GitOps , configuration management, and CI/CD practices Hands-on experience with Kubernetes Experience working with GPU-related technologies such as NVIDIA GPU Operator, device plugins, MIG, or time-slicing Good scripting or programming skills in Python, Go, or Bash Experience with bare-metal provisioning, infrastructure automation, or data center environments Good knowledge of observability tools such as Prometheus, Grafana, Loki, and OpenTelemetry Good understanding of distributed systems reliability and production incident management Experience with high-performance networking technologies such as RDMA, InfiniBand, or RoCE will be a strong advantage Ability to lead technical discussions, support team development, and communicate effectively with both technical and business stakeholders English proficiency at least at a communicative level is required, as you will be working in an international team Nice to have Experience in AI infrastructure, HPC environments, hyperscale infrastructure, or data center operations Familiarity with orchestration and scheduling tools such as Slurm, Ray, Run:ai, KServe , or Kubernetes-based schedulers Experience integrating telemetry from power, cooling, or environmental systems Experience building internal platforms or self-service tools for engineering or research teams Understanding of security, compliance, and audit requirements in regulated or security-sensitive environments What we offer Benefits package Opportunity to shape the DevOps and SRE foundation for advanced GPU infrastructure supporting AI workloads Real impact on the scalability, reliability, and operational standards of next-generation compute environments Collaboration with experienced engineers across infrastructure, platform, and AI domains A dynamic environment with space for ownership, technical leadership, and professional growth

🏢 Summary: Expert DevOps / Platform Engineer role combining advisory responsibilities with hands-on project delivery for clients. The position focuses on designing, building and optimizing Kubernetes-based platforms, CI/CD pipelines and Infrastructure as Code solutions across cloud and on-prem environments. The role includes technical leadership, production support and ensuring security, scalability and reliability of delivered systems. 🗂️ Requirements: Minimum 5 years experience in DevOps or Platform Engineering, Strong practical knowledge of Kubernetes, Experience in client-facing project work (consulting, outsourcing or delivery), Experience designing and maintaining CI/CD pipelines, Experience with Infrastructure as Code tools, Practical experience with public cloud (Azure, AWS or GCP) or on-prem environments, Scripting skills in Bash or PowerShell, Experience with containerization and Kubernetes deployments, Experience in monitoring and troubleshooting production environments 📃 Skills: Kubernetes, CI/CD, IaC, Azure, AWS, GCP, Bash, PowerShell, Docker, Monitoring 🏢 Description: Billennium to globalna firma technologiczna z ponad 20-letnim doświadczeniem, zaangażowana w innowacje i wspieranie przedsiębiorstw. Jako pracodawca oferujemy wspierające, nastawione na rozwój środowisko, w którym współpraca i kreatywność to naczelne wartości. Dołącz do nas, aby wspólnie kształtować przyszłość technologii! Kogo szukamy? Poszukujemy doświadczonego DevOps / Platform Engineera do roli eksperckiej, łączącej odpowiedzialność doradczą wewnątrz organizacji z aktywnym udziałem w projektach realizowanych dla klientów. Stanowisko zakłada pracę zarówno na poziomie koncepcyjnym i architektonicznym, jak i hands‑on w projektach komercyjnych. Osoba na tym stanowisku pełni rolę eksperta, który wspiera zespoły Billennium w projektowaniu i ewaluacji rozwiązań DevOps oraz Kubernetes, a jednocześnie jest angażowana w projekty klienckie jako senior, zapewniając wysoką jakość techniczną i realną wartość biznesową. Zakres zadań: Pełnienie roli eksperta DevOps / Platform Engineera dla zespołów wewnętrznych i projektów Projektowanie i rozwój rozwiązań opartych o Kubernetes, wykorzystywanych w projektach klienckich Wsparcie projektów na etapie pre‑sales, discovery lub stabilizacji środowisk Udział w projektach klienckich jako senior specjalista lub techniczny lead Projektowanie, budowa i utrzymanie środowisk Kubernetes (cloud i on‑prem) Budowa oraz optymalizacja procesów CI/CD Automatyzacja infrastruktury w podejściu Infrastructure as Code Konteneryzacja aplikacji oraz wdrażanie ich do klastrów Kubernetes Monitorowanie, obserwowalność i rozwiązywanie problemów produkcyjnych Współpraca z zespołami developerskimi i architektami po stronie klienta Dbanie o bezpieczeństwo, niezawodność i skalowalność rozwiązań Niezbędne umiejętności i kwalifikacje: Minimum 5 lat doświadczenia w obszarze DevOps lub Platform Engineering Bardzo dobra, praktyczna znajomość Kubernetes Doświadczenie w pracy projektowej z klientami (konsulting, outsourcing, delivery) Znajomość CI/CD oraz automatyzacji procesów dostarczania oprogramowania Doświadczenie z narzędziami Infrastructure as Code Praktyczna znajomość chmur publicznych (Azure, AWS lub GCP) lub on‑prem Umiejętność pracy z Bash i/lub PowerShell Umiejętność tłumaczenia problemów biznesowych na rozwiązania techniczne Samodzielność, odpowiedzialność i nastawienie na jakość Nasza oferta: Pakiet benefitów pozapłacowych — Udemy for Business, prywatna opieka medyczna, karta Multisport, pakiet weterynaryjny, lekcje językowe, bony zakupowe Elastyczność — elastyczne godziny pracy i opcje pracy zdalnej/hybrydowej dostosowane do Twojego stylu życia i lokalizacji Rozwój kariery — dostęp do szkoleń i certyfikacji, współpraca z globalnymi partnerami IT (Microsoft, AWS, Snowflake, Salesforce) Angażująca społeczność — udział w wydarzeniach team buildingowych, hackathonach i inicjatywach CSR Firmowe tradycje — coroczne wydarzenie integracyjne na Mazurach Czekamy na Ciebie!