AI Senior DevOps Engineer

🏢 Summary: Remote AI Lead DevOps Engineer role responsible for defining and executing the MLOps and CI/CD strategy for enterprise AI platforms. The position focuses on architecting secure, compliant, and fully automated ML lifecycle governance, ensuring auditability, reproducibility, and large-scale reliability. The role combines technical leadership with hands-on design of cloud-native, DevSecOps-driven AI infrastructure. 🗂️ Requirements: 8–10 years DevOps or Cloud Engineering experience, Minimum 3 years in technical leadership or architect role, Strong knowledge of end-to-end ML lifecycle, Expertise in CI/CD pipeline design and implementation, Advanced Infrastructure as Code experience, Experience with SAST and DAST implementation, Strong IAM and access control management in cloud, Ability to design observability frameworks for ML systems, Experience with configuration management in multi-cloud environments, Knowledge of database scaling and security, Experience implementing model governance and auditability practices 📃 Skills: MLOps, CI/CD, DevSecOps, Azure, AzureDevOps, GitHubActions, Jenkins, Terraform, CloudFormation, SAST, DAST, IAM, Ansible, Puppet, MySQL, PostgreSQL, MongoDB, Observability, Git 🏢 Description: This is a remote position. We are looking for an AI Lead DevOps Engineer to spearhead the MLOps strategy for our high-impact AI accounts. With 8–10 years of experience, you will provide the technical leadership necessary to design robust, compliant, and highly automated AI platforms. You aren't just managing pipelines; you are architect the entire lifecycle governance—ensuring reproducibility, audibility, and security at an enterprise scale. Key Responsibilities: Strategic Leadership: Provide technical direction for the DevOps squad, defining the CI/CD and MLOps roadmap for the account. Model Governance & Evaluation: Implement automated model evaluation pipelines to track accuracy, precision, and recall metrics in production. Enterprise Security: Lead the DevSecOps strategy, ensuring all AI deployments comply with enterprise security standards and global data regulations. Platform Enablement: Architect self-service platforms that allow ML engineers to deploy models with minimal friction while maintaining strict governance guardrails. Auditability & Reproducibility: Ensure that every ML experiment is fully auditable through sophisticated pipeline and dataset versioning strategies. Mentorship: Mentor senior and junior engineers, driving best practices in automation, IaC, and cloud-native architecture. Requirements 8–10 years of experience in DevOps/Cloud Engineering, with at least 3 years in a technical leadership or architect-level role. Deep understanding of the end-to-end ML lifecycle (training, validation, deployment, and retraining loops). Mastery across Azure DevOps, GitHub Actions, and Jenkins. Expert-level Terraform or CloudFormation skills, including modular architecture and cross-account cloud deployments. Significant experience implementing SAST/DAST tools and managing complex IAM/Access Control frameworks in a cloud environment. Ability to design custom observability frameworks that track model drift, pipeline failures, and infrastructure ROI. Advanced knowledge of configuration management tools like Ansible or Puppet for complex multi-cloud environments. Solid understanding of database scaling and security for MySQL, PostgreSQL, and MongoDB. Understanding of how DevOps practices support responsible AI (e.g., bias tracking and audit logs). Exceptional ability to collaborate with Architects and Data Scientists to translate high-level AI needs into operational reality. Native or C1-level English, with the ability to present technical strategies to senior stakeholders. Benefits Professional training programs Work with a team that’s recognized for its excellence. We’ve been featured in the Deloitte Technology Fast 50 & FT 1000 rankings. We’ve also received the Great Place To Work® certification for five years in a row

🏢 Summary: DevOps Engineer role focused on designing and maintaining AI-driven CI/CD pipelines and deploying machine learning models across cloud and hybrid environments. The position involves integrating AI/ML tools into DevOps processes, optimizing infrastructure for AI workloads, and ensuring security and high availability. The engineer will work with modern cloud platforms and data technologies in international, agile projects. 🗂️ Requirements: Bachelor’s degree in Engineering, IT, Science or related field, Minimum 5 years of experience in DevOps or similar role, Hands-on experience with DevOps tools in AI/ML workflows, Experience with cloud platforms and AI/ML services, Experience deploying and scaling ML models in production, Proficiency in scripting or programming languages, Experience implementing automated testing for AI workflows, Knowledge of secure environments for AI-driven systems 📃 Skills: Jenkins, GitHubActions, Kubernetes, Docker, Terraform, AWS, Azure, GCP, MLflow, Kubeflow, Airflow, Python, Bash, YAML, TensorFlow, PyTorch, Scikit-learn, Grafana, AIOps 🏢 Description: About the role As a DevOps Engineer with AI integration skills, you will collaborate across multiple implementation streams and work closely with agile teams to achieve project and client goals. We are looking for passionate engineers ready to move our projects to the next level by leveraging modern technology stacks and AI-driven solutions. You will participate in international projects based on the latest data technologies and cloud platforms. Your key responsibilities Design and maintain CI/CD pipelines incorporating AI/ML tools and frameworks. Collaborate with AI teams to deploy and scale machine learning models in production environments. Integrate AI-based monitoring, alerting, and analytics tools to improve pipeline visibility and enable predictive analysis. Optimize infrastructure resource utilization for AI applications across cloud, on-premises, and hybrid environments. Ensure strong security practices within AI-driven pipeline ecosystems. Troubleshoot pipeline and infrastructure issues, especially those involving AI components, and ensure high availability. Monitor system performance and implement improvements using AI-enhanced tools. Skills and attributes for success Hands-on experience with DevOps tools such as Jenkins, GitHub Actions, Kubernetes, Docker, and Terraform. Strong understanding of cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services. Familiarity with AI workflow tools such as MLflow, Kubeflow, or Airflow. Proficiency in scripting and programming languages (Python, Bash, YAML, etc.). Ability to implement automated testing frameworks for validating AI models and workflows. Experience building secure environments for AI-driven systems. Experience integrating AI-powered monitoring tools (AIOps, Grafana with ML plugins, or custom AI diagnostics). Requirements Bachelor’s degree in Engineering, IT, Science, or a related technical field. At least 5 years of experience in a corporate IT environment in a similar role. Proven experience with DevOps tools and frameworks used in AI/ML workflows. Strong communication skills and ability to collaborate with global teams. Nice to have Certifications in DevOps or AI/ML (e.g., Kubernetes, AWS Machine Learning Specialty). Experience working with AIOps platforms. Knowledge of specialized data pipeline automation tools for machine learning. Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn in production environments.

🏢 Summary: Senior DevOps Engineer role focused on designing, implementing and optimizing CI/CD pipelines and cloud infrastructure for modern SaaS systems in Azure. The position involves automation, Infrastructure as Code, container orchestration with AKS, and improving system reliability, observability and cost efficiency. The engineer will work closely with development teams, supporting .NET and mobile applications in Windows-based environments. 🗂️ Requirements: Minimum 4 years experience as DevOps or Site Reliability Engineer, Strong practical experience with Microsoft Azure services, Hands-on experience with AKS and Kubernetes, Experience building and maintaining CI/CD pipelines, Experience with Azure DevOps and GitHub Actions, Experience supporting .NET applications and SQL Server, Knowledge of Infrastructure as Code, Strong scripting skills, Experience with monitoring and observability tools, Knowledge of load balancers and network proxies, Basic experience with AWS services, Experience working in Windows environments 📃 Skills: Azure, AKS, Kubernetes, AzureDevOps, GitHubActions, Bicep, Terraform, ARM, PowerShell, Bash, Python, AzureCLI, .NET, SQLServer, AzureMonitor, ApplicationInsights, SonarQube, Datadog, Grafana, JIRA, AWS, EC2, VPC, S3, Ansible, Chef, DSC 🏢 Description: Miejsce pracy: zdalnie / biuro (wg preferencji) Typ zatrudnienia: pełny etat Kim jesteśmy Szukamy doświadczonego Senior DevOps Engineer , który dołączy do naszego zespołu odpowiedzialnego za rozwój nowoczesnych systemów SaaS. W tej roli będziesz wspierać zespoły programistyczne we wdrażaniu najlepszych praktyk DevOps, automatyzacji procesów i poprawie jakości oraz stabilności systemów. Twoja codzienna praca Projektowanie, wdrażanie i utrzymywanie CI/CD pipelines przy użyciu Azure DevOps , GitHub Actions i innych narzędzi wspierających aplikacje Windows. Budowa i zarządzanie środowiskami Dev i QA , wspierającymi procesy Agile i testowe. Współpraca z zespołami developerskimi przy integracji praktyk DevOps w SDLC. Tworzenie i utrzymywanie Infrastructure as Code (IaC) z wykorzystaniem Bicep, Terraform lub ARM templates. Implementacja i nadzór nad monitoringiem, logowaniem i alertami (Azure Monitor, Application Insights, SonarQube, Datadog, Grafana). Automatyzacja zadań operacyjnych za pomocą PowerShell, Bash, Python, Azure CLI . Wsparcie dla aplikacji konteneryzowanych na Azure Kubernetes Service (AKS) . Monitorowanie kosztów chmury i optymalizacja wykorzystania zasobów. Mentoring młodszych inżynierów i promowanie kultury ciągłego doskonalenia. Ścisłe przestrzeganie JIRA: codzienne logowanie czasu, aktualizacja komentarzy, dokładne śledzenie zadań i dokumentacja. Kogo szukamy (must-have) Min. 4 lata doświadczenia w roli DevOps/Site Reliability Engineer . Praktyczna znajomość Azure (AKS, Azure AD, Key Vault, App Services, Azure Functions, Front Door, Virtual Networks). Doświadczenie w CI/CD dla aplikacji .NET i mobilnych, w tym buildy Windows i wsparcie Azure DevOps + GitHub Actions . Doświadczenie z .NET i SQL Server w chmurze i on-premise. Znajomość konteneryzacji i Kubernetes . Umiejętność pracy z narzędziami monitorującymi i praktykami obserwowalności. Silne umiejętności skryptowania ( PowerShell, Bash, Python ). Znajomość metodyk Agile/Scrum i pracy w zespołach cross-funkcjonalnych. Wiedza o load balancerach i proxy dla skalowalnego i bezpiecznego ruchu sieciowego. Podstawowe doświadczenie z AWS (EC2, VPC, S3) oraz Azure (Instance i Network management). Gotowość do pracy w środowisku głównie Windows/legacy , które w ciągu 2 lat będzie modernizowane. Umiejętność realizacji zadań z roadmapy ustalonej przez liderów – swoboda projektowania w ramach przydzielonych zadań, ale bez tworzenia własnej roadmapy. Mile widziane (nice-to-have) Doświadczenie w administracji bazami danych i troubleshooting. Znajomość narzędzi Ansible, Chef, DSC . Wiedza z zakresu bezpieczeństwa w chmurze, DevSecOps, Zero Trust. Doświadczenie w migracjach między GitHub a Azure DevOps. Doświadczenie w projektowaniu i wdrażaniu CI/CD, nie tylko wsparcie istniejących rozwiązań. Doświadczenie w prowadzeniu zespołów DevOps lub jako technical lead. Dlaczego warto u nas pracować Realny wpływ na produkty i procesy w firmie. Praca w zespole, który ceni automatyzację, efektywność i współpracę . Możliwość rozwoju w nowoczesnych technologiach Azure, DevOps i cloud security . Kultura mentoringu i feedbacku, elastyczny model remote-first .

🏢 Summary: The offer is for an AI DevOps Lead Engineer responsible for designing and managing cloud infrastructure on Azure and GCP with a strong focus on Infrastructure as Code and CI/CD automation. The role involves leading infrastructure initiatives, administering Kubernetes clusters, and implementing secure, scalable, and resilient cloud solutions. It is a long-term B2B contract with a hybrid work model in Cracow. 🗂️ Requirements: 4+ years experience in DevOps, SRE, or Cloud Engineering, Strong knowledge of Linux/UNIX systems, Production experience with GCP and/or Azure, Experience managing GKE and/or AKS clusters, Proficiency in Infrastructure as Code with Terraform, Experience building and maintaining CI/CD pipelines with Jenkins, Scripting skills in Python and/or Bash 📃 Skills: GCP, Azure, GKE, AKS, Terraform, Jenkins, Python, Bash, Linux, UNIX, CI/CD, IaC 🏢 Description: We are seeking an accomplished AI DevOps Lead Engineer with a strong foundation in cloud infrastructure management and DevOps practices. The ideal candidate will have over 4 years of experience in DevOps, SRE, or Cloud Engineering roles, with a proven record of designing and implementing robust cloud solutions, particularly on GCP and Azure platforms. Strong expertise in Infrastructure as Code (IaC) and CI/CD pipeline management is imperative, along with scripting capabilities in Python and Bash. What we offer: Long Term B2B Contract Rate: 200 PLN/ H +VAT Hybrid Cracow ( 1-2 times per week) Main Responsibilities: Design, build, and manage core infrastructure on Azure using IaC principles. Administer and enhance GKE and AKS clusters, ensuring security, scalability, and resilience. Evolve Jenkins pipelines and developer tooling for improved automation and efficiency. Implement security controls and automate vulnerabilities remediation. Develop a robust monitoring and alerting framework for operational visibility. Implement security gateways for improved governance. Key Requirements: 4+ years of experience in a DevOps, SRE, or Cloud Engineering role. Deep knowledge of Linux/UNIX operating systems. Production experience with GCP and/or Azure, including management of clusters (GKE, AKS). Strong proficiency with Infrastructure as Code using Terraform. Proven experience with CI/CD pipeline development using Jenkins. Scripting and automation skills in Python and/or Bash. Nice to Have: Experience with monitoring tools like Prometheus, Grafana, and Loki. Familiarity with container management using Docker. Knowledge of additional cloud services and platforms.

🏢 Summary: Long-term B2B opportunity for an AI DevOps Lead Engineer to design and manage cloud infrastructure on Azure and GCP, focusing on IaC, CI/CD, and Kubernetes clusters. The role centers on building secure, scalable environments, automating processes, and enhancing monitoring and security frameworks. Hybrid work model with strong emphasis on cloud-native and DevOps best practices. 🗂️ Requirements: 4+ years in DevOps, SRE, or Cloud Engineering, Strong knowledge of Linux/UNIX, Production experience with GCP and/or Azure, Experience managing GKE and/or AKS clusters, Proficiency in Terraform for Infrastructure as Code, Experience building CI/CD pipelines with Jenkins, Scripting skills in Python and/or Bash 📃 Skills: GCP, Azure, GKE, AKS, Terraform, Jenkins, Python, Bash, Linux, Kubernetes, CI/CD, IaC 🏢 Description: Introduction & Summary: We are seeking an accomplished AI DevOps Lead Engineer with a strong foundation in cloud infrastructure management and DevOps practices. The ideal candidate will have over 4 years of experience in DevOps, SRE, or Cloud Engineering roles, with a proven record of designing and implementing robust cloud solutions, particularly on GCP and Azure platforms. Strong expertise in Infrastructure as Code (IaC) and CI/CD pipeline management is imperative, along with scripting capabilities in Python and Bash. What we offer: Long Term B2B Contract Rate: 200 PLN/ H +VAT Hybrid Cracow ( 1-2 times per week) Main Responsibilities: Design, build, and manage core infrastructure on Azure using IaC principles. Administer and enhance GKE and AKS clusters, ensuring security, scalability, and resilience. Evolve Jenkins pipelines and developer tooling for improved automation and efficiency. Implement security controls and automate vulnerabilities remediation. Develop a robust monitoring and alerting framework for operational visibility. Implement security gateways for improved governance. Key Requirements: 4+ years of experience in a DevOps, SRE, or Cloud Engineering role. Deep knowledge of Linux/UNIX operating systems. Production experience with GCP and/or Azure, including management of clusters (GKE, AKS). Strong proficiency with Infrastructure as Code using Terraform. Proven experience with CI/CD pipeline development using Jenkins. Scripting and automation skills in Python and/or Bash. Nice to Have: Experience with monitoring tools like Prometheus, Grafana, and Loki. Familiarity with container management using Docker. Knowledge of additional cloud services and platforms. Other Details: This position offers the opportunity to work in a dynamic environment that fosters innovation and collaboration. Candidates can work remotely or on-site, depending on personal preferences; flexibility in schedule is provided to facilitate a productive work-life balance.

🏢 Summary: The offer is for a Senior Azure DevOps Engineer responsible for designing, automating, and maintaining cloud infrastructure and CI/CD processes in Microsoft Azure environments. The role focuses on Infrastructure as Code, containerization, system administration, and deployment automation to support modern cloud-based solutions. 🗂️ Requirements: Strong knowledge of Azure PaaS and IaaS, Hands-on experience with GitHub Actions CI/CD pipelines, Experience administering Linux systems, Experience administering Windows systems, Practical experience with Docker, Practical experience with Kubernetes, Scripting skills in Python, Scripting skills in Bash, Scripting skills in PowerShell, Experience with SonarQube, Experience with Terraform, Experience with Ansible, Solid understanding of networking concepts, Experience with system integration and troubleshooting 📃 Skills: Azure, GitHubActions, Linux, Windows, Docker, Kubernetes, Python, Bash, PowerShell, SonarQube, Terraform, Ansible, Networking, CICD 🏢 Description: We are looking for an experienced Senior Azure DevOps Engineer to join a team responsible for building and maintaining modern cloud environments, as well as automating infrastructure and software delivery processes. Responsibilities: Design, implement, and maintain infrastructure in Microsoft Azure (PaaS, IaaS) Build and develop CI/CD pipelines using GitHub Actions Automate deployment processes and environment management Administer Linux and Windows-based virtual machine environments Manage containerization (Docker) and orchestration (Kubernetes) Develop and maintain automation scripts (Python, Bash, PowerShell) Implement and maintain code quality tools (SonarQube) Manage Infrastructure as Code (Terraform) Automate configuration management (Ansible) Monitor, troubleshoot, and resolve system integration issues Collaborate with development and architecture teams. Requirements: Strong knowledge of Azure cloud services (PaaS, IaaS) Hands-on experience with CI/CD pipelines (GitHub Actions) Experience administering Linux and Windows systems Practical experience with Docker and Kubernetes Scripting skills (Python, Bash, PowerShell) Experience with SonarQube Experience with Terraform and Ansible Solid understanding of networking concepts Experience with system integrations and troubleshooting. Nice to have: Experience with Azure Data Factory and Databricks Familiarity with monitoring tools (e.g., Grafana) Experience administering and securing Azure-managed databases (MS SQL, PostgreSQL)

🏢 Summary: Senior DevOps Engineer role focused on building and developing a modern cloud-based API Management platform. The position involves infrastructure development, automation, CI/CD implementation, Kubernetes platform support, and observability solutions. The engineer will support API Gateway and collaborate on cloud-native platform evolution. 🗂️ Requirements: Several years of experience as DevOps Engineer or similar role, Strong knowledge of Kubernetes, Strong knowledge of Docker, Practical experience with AWS, Experience with Infrastructure as Code using Terraform, Knowledge of Ansible, Experience building and maintaining CI/CD pipelines, Experience with monitoring and observability tools 📃 Skills: Kubernetes, Docker, AWS, Terraform, Ansible, CI/CD, Grafana, Prometheus, VictoriaMetrics, Splunk, Kong, API, CloudNative, IaC 🏢 Description: Poszukujemy osoby na stanowisko Senior DevOps Engineer do projektu związanego z budową i rozwojem nowoczesnej platformy API Management działającej w środowisku chmurowym. Osoba na tym stanowisku będzie odpowiadać za rozwój infrastruktury, automatyzację procesów, wdrażanie rozwiązań observability oraz wsparcie zespołów projektowych w obszarze platform Kubernetes i API Gateway. Zakres obowiązków Projektowanie, rozwój i utrzymanie infrastruktury dla platformy API Management. Provisioning i zarządzanie środowiskami chmurowymi z wykorzystaniem Infrastructure as Code. Automatyzacja procesów administracyjnych i operacyjnych. Tworzenie oraz rozwój pipeline'ów CI/CD. Zarządzanie środowiskami Kubernetes oraz konteneryzacją aplikacji. Implementacja i rozwój rozwiązań monitoringu oraz observability. Migracja istniejących środowisk do nowych platform technologicznych. Współpraca z zespołami deweloperskimi i architektonicznymi przy wdrażaniu nowych usług. Wsparcie rozwoju platformy katalogowania i zarządzania API. Wymagania Minimum kilkuletnie doświadczenie na stanowisku DevOps Engineer lub pokrewnym. Bardzo dobra znajomość Kubernetes i Docker. Praktyczne doświadczenie z AWS. Doświadczenie w tworzeniu i utrzymaniu infrastruktury jako kodu z wykorzystaniem Terraform. Znajomość Ansible oraz automatyzacji procesów operacyjnych. Doświadczenie w budowie i utrzymaniu pipeline'ów CI/CD. Znajomość narzędzi monitoringu i observability (Grafana, Prometheus, Victoria Metrics, Splunk lub podobne). Komunikatywna znajomość języka angielskiego. Mile widziane Doświadczenie z Kong Gateway lub innymi rozwiązaniami API Gateway. Znajomość zagadnień związanych z API Management. Doświadczenie w środowiskach Cloud Native.

🏢 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 DevOps Engineer role focused on ensuring production stability and driving automation across multi-cloud environments. The position bridges infrastructure and application support, emphasizing CI/CD optimization, incident management, and elimination of manual operational tasks. Responsibilities include managing deployments, patching, and building automation tools to enhance system reliability. 🗂️ Requirements: Commercial experience with AWS, Azure, or GCP, Strong proficiency in Python, Strong proficiency in Java, Hands-on experience designing and maintaining CI/CD pipelines, Experience with Jenkins, GitHub Actions, GitLab CI, or Azure DevOps, Practical knowledge of container ecosystems, Experience in incident management and production monitoring, Experience executing system deployments and infrastructure patching 📃 Skills: AWS, Azure, GCP, Python, Java, Jenkins, GitHubActions, GitLabCI, AzureDevOps, CI/CD, Containers, Monitoring, Automation, DevOps 🏢 Description: We are looking for a highly skilled Senior DevOps Engineer to take ownership of production stability and drive the aggressive automation of support operations. In this role, you will bridge the gap between infrastructure and application support, ensuring the reliability of multi-cloud environments while eliminating manual operational toil. Essential functions Production Operations & Support: Act as the first line of defense for system reliability. Monitor system health, manage incidents, and troubleshoot complex production issues. Support Automation: Write robust code and scripts to automate routine support activities, system patching, and deployment processes. CI/CD Management: Build, maintain, and optimize deployment pipelines across various tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps). Deployments & Patching: Execute seamless software deployments and infrastructure patching with minimal downtime. Qualifications Cloud Platforms: Commercial experience managing infrastructure in AWS, Azure, or GCP . Programming Skills: Strong proficiency in both Python and Java (essential for building automation tools and supporting the core application stack). CI/CD Mastery: Solid hands-on experience designing and maintaining pipelines (Jenkins, GitHub Actions, GitLab CI, or Azure DevOps). Containerization: Practical working knowledge of container ecosystems. Ops & Reliability: Deep understanding of incident management, production monitoring, and executing system deployments. We offer Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Senior DevOps Engineer role focused on owning and evolving cloud-native infrastructure and CI/CD platforms that support large-scale data processing systems. The position combines hands-on engineering and strategic impact to ensure scalable, secure, and reliable production environments. You will design, automate, and optimize platform services enabling efficient delivery of data-driven applications. 🗂️ Requirements: 5+ years in DevOps, SRE, or infrastructure engineering, Experience supporting distributed production systems, Hands-on experience with public cloud platforms, Strong knowledge of containerization and orchestration, Experience with infrastructure as code, Strong scripting or programming skills, Experience building and maintaining CI/CD pipelines, Knowledge of observability practices and tools, Strong troubleshooting and incident response skills in Linux environments 📃 Skills: AWS, Docker, Kubernetes, Terraform, Python, Bash, CI/CD, Linux, Monitoring, Logging, Alerting 🏢 Description: Senior DevOps Engineer We are looking for an experienced engineer to take ownership of our infrastructure and platform ecosystem, supporting large-scale data processing systems and enabling efficient, reliable software delivery. This role combines hands-on engineering with strategic impact — you will design, build, and evolve the platform that underpins data pipelines and production services, ensuring scalability, security, and operational excellence across environments. Key Responsibilities Own and evolve CI/CD and automation platforms to support fast and reliable delivery of data-driven applications Design and manage cloud-native infrastructure supporting high-volume data ingestion, processing, and serving Build and maintain infrastructure as code to ensure consistency and scalability across environments Manage containerized environments and orchestration platforms to deliver resilient and scalable services Implement observability solutions (monitoring, logging, alerting) to ensure full system visibility and reliability Automate deployment processes, configuration management, and system recovery workflows Collaborate with engineering, data, and compliance teams to deliver secure and production-ready solutions Drive incident management practices and continuous improvement initiatives Contribute to platform strategy, tooling decisions, and mentoring within the team Requirements 5+ years of experience in DevOps, SRE, or infrastructure engineering roles Strong experience supporting production systems in distributed environments Hands-on experience with public cloud platforms (AWS or similar) Solid knowledge of containerization and orchestration technologies (Docker, Kubernetes) Experience with infrastructure as code tools (e.g., Terraform) Strong scripting/programming skills (Python, Bash, or similar) Experience building and maintaining CI/CD pipelines and automation tooling Knowledge of observability practices and tools Strong troubleshooting and incident response skills in Linux environments Excellent communication skills and ability to work cross-functionally Nice to Have Experience working with large-scale data platforms Exposure to regulated environments or compliance requirements Experience contributing to platform or engineering standards