Junior DevOps Engineer

🏢 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: 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: The role involves designing, implementing, and maintaining scalable cloud infrastructure and CI/CD pipelines, with a strong focus on Google Cloud Platform and Azure. The DevOps Engineer will automate deployments, manage infrastructure as code, and ensure reliability, security, and performance of cloud environments. The position requires close collaboration with development teams to improve deployment processes and platform stability. 🗂️ Requirements: Proven experience as DevOps Engineer or similar cloud role, Expert-level experience with Google Cloud Platform, Hands-on experience with Microsoft Azure, Experience with CI/CD tools (Azure DevOps, GitHub, GitHub Actions), Experience with Infrastructure as Code using Terraform, Scripting and automation skills using Python, Knowledge of cloud architecture and deployment best practices, Strong troubleshooting skills, English proficiency 📃 Skills: GCP, Azure, Terraform, Python, AzureDevOps, GitHub, GitHubActions, CI/CD, IaC 🏢 Description: About the Role We are looking for a skilled DevOps Engineer to join our technology team and help design, implement, and maintain scalable cloud infrastructure and modern CI/CD pipelines. In this role, you will work closely with development and platform teams to automate processes, improve deployment efficiency, and ensure the reliability and security of cloud-based systems. The ideal candidate has strong experience with cloud platforms, infrastructure as code, and modern DevOps practices, with particular expertise in Google Cloud Platform and CI/CD tooling. Key Responsibilities Design, implement, and maintain CI/CD pipelines using Azure DevOps , GitHub , and GitHub Actions . Build and manage scalable cloud infrastructure on Google Cloud Platform and Microsoft Azure . Develop and maintain infrastructure using Infrastructure as Code practices with Terraform . Automate operational and deployment processes using Python . Monitor and optimize cloud environments for performance, reliability, and cost efficiency. Collaborate with development teams to improve application deployment processes and platform reliability. Implement best practices in security, access control, and cloud governance. Troubleshoot infrastructure and deployment issues across environments. Required Skills & Experience Proven experience as a DevOps Engineer or in a similar cloud/infrastructure role. Strong hands-on experience with Google Cloud Platform at a principal or expert level . Solid experience with Microsoft Azure . Hands-on experience with CI/CD tools such as Azure DevOps , GitHub , and GitHub Actions . Strong knowledge of Infrastructure as Code tools, particularly Terraform . Good scripting and automation skills using Python . Experience with cloud architecture, automation, and deployment best practices. Strong troubleshooting and problem-solving skills. Ability to work collaboratively in cross-functional teams. Good communication skills and proficiency in English.

🏢 Summary: Senior AWS DevOps Engineer role focused on designing, automating, and maintaining scalable cloud infrastructure and CI/CD pipelines for distributed applications. The position involves managing Kubernetes environments, implementing Infrastructure as Code, and improving reliability, security, and observability across AWS platforms. You will collaborate with engineering teams to enhance deployment processes and ensure high availability of production systems. 🗂️ Requirements: 5+ years DevOps or Cloud Engineering experience, Strong hands-on experience with AWS services, Experience with Kubernetes and containerized environments, Strong experience with Terraform and Infrastructure as Code, Experience building and maintaining CI/CD pipelines, Strong Linux administration skills, Scripting skills in Bash or Python, Experience with monitoring and logging tools, Knowledge of networking, security, and IAM, Experience with Git-based workflows 📃 Skills: AWS, Kubernetes, EKS, Docker, Terraform, CloudFormation, CICD, Linux, Bash, Python, CloudWatch, Prometheus, Grafana, ELK, Datadog, Git, IAM, Jenkins, GitHub, GitLab, AzureDevOps, Helm, ArgoCD, Serverless, Networking, Security 🏢 Description: About the Role We are looking for a Senior AWS DevOps Engineer to join a fast-paced international engineering team. The ideal candidate will be responsible for designing, implementing, automating, and maintaining cloud infrastructure and CI/CD ecosystems for highly scalable distributed applications. You will work closely with development, security, and infrastructure teams to improve deployment processes, system reliability, scalability, and operational efficiency across cloud environments. Key Responsibilities Design, build, and maintain scalable AWS cloud infrastructure Implement and optimize CI/CD pipelines for automated deployments Manage Kubernetes clusters and containerized workloads Develop Infrastructure as Code (IaC) solutions using Terraform or CloudFormation Improve system observability, monitoring, logging, and alerting Automate operational and deployment processes Ensure high availability, performance, and security of production systems Collaborate with development teams to support cloud-native application delivery Participate in troubleshooting, incident response, and root cause analysis Support platform reliability, scalability, and disaster recovery initiatives Required Skills & Experience 5+ years of experience in DevOps / Cloud Engineering roles Strong hands-on experience with AWS services Experience with Kubernetes (EKS preferred) and Docker Strong experience with Terraform and Infrastructure as Code Experience building and maintaining CI/CD pipelines Strong Linux administration and scripting skills (Bash/Python) Experience with monitoring and logging tools such as CloudWatch, Prometheus, Grafana, ELK, Datadog, etc. Experience with Git-based workflows and automation tools Good understanding of networking, security, IAM, and cloud best practices Experience working in Agile/Scrum environments Strong troubleshooting and communication skills Nice to Have AWS Certifications Experience with GitHub Actions, GitLab CI, Jenkins, or Azure DevOps Experience with serverless architectures Exposure to multi-cloud environments (AWS/Azure) Knowledge of security and compliance frameworks Experience with Helm, ArgoCD, or service mesh technologies

🏢 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 a Senior DevOps Engineer responsible for designing, building, and operating secure, scalable cloud infrastructure for AI-driven automation platforms. The role focuses on Infrastructure as Code, CI/CD, monitoring, and automation in enterprise cloud environments, ensuring reliability, security, and compliance. It combines hands-on engineering with ownership of mission-critical services across their full lifecycle. 🗂️ Requirements: University degree in informatics or equivalent professional experience, Minimum 7 years of DevOps or infrastructure experience, Proven experience with Infrastructure as Code using Terraform, Experience with CI/CD tools such as Jenkins or GitHub Actions, Hands-on experience with AWS or Azure cloud services, Experience with DevOps workflows and automated incident response, Experience managing enterprise private cloud environments, Knowledge of secure service-to-service communication patterns, Knowledge of modern authentication protocols, Experience with monitoring, logging, and alerting systems, Experience with Python or another programming language, Understanding of AI technologies and AI process automation, Fluency in Polish and English (minimum B2) 📃 Skills: Terraform, Jenkins, GitHub, AWS, Azure, Python, CI/CD, DevOps, IaC, Monitoring, Logging, Alerting, Authentication, AI, Cloud 🏢 Description: As a Senior DevOps Engineer (AI & Automation Platform), you will be responsible for building and maintaining secure, scalable cloud infrastructures that power AI-driven automation. In this role, you will design and operate enterprise-ready solutions, implement Infrastructure as Code practices, and drive automation across systems and workflows. You will collaborate with internal teams and external vendors, ensuring performance, reliability, and compliance while mentoring colleagues and fostering an agile, innovation-oriented culture. This position is ideal for a hands-on engineer with strong analytical skills, a passion for automation, and the ability to take ownership of mission-critical services. Your Key Responsibilities Building and maintaining scalable and reliable cloud infrastructure for AI process automation platforms Ensuring operable and securing cloud-based solution architecture for custom-developed, open-source, and off-the-shelf applications Acting as technical consultant for internal colleagues and collect their feedback to ensure a successful user experience Establishing and maintaining logging, monitoring and alerting systems to proactively identify and resolve performance issues Taking on the technical responsibility of applications throughout the life cycle as part of a DevOps team Driving improvements of the automation level of our operations towards self-service Close collaboration with external software vendors for managing, developing, and maintaining IT systems Building and maintaining disaster recovery and business continuity plans for mission-critical applications and infrastructure Ensuring compliance with security policies and standards, working with security and compliance teams as necessary Your Qualifications University degree in (business) informatics or alternative training with relevant professional experience in this field At least 7 years of relevant professional experience in this field Strong automation and infrastructure as code mindset backed by proven experience in using Terraform and CI/CD technologies like Jenkins or GitHub Actions Experience with DevOps workflows for infrastructure management and automated incident response Proven experience in installing, configuring, maintaining and managing support operations with third party software in secured and enterprise ready private cloud environments Profound knowledge about common patterns for secure service-to-service connectivity and modern authentication protocols Familiarity with common monitoring, logging, and alerting solutions Hands-on experience working with managed cloud services (AWS or Azure preferred), including compute, storage, databases, and AI services Strong understanding of latest AI technology, like AI Agents, in combination with AI process automation Experience with an additional programming language such as Python Fluency in both Polish and English, with a minimum of B2 level proficiency Knowledge of German is a plus Ability and willingness to coach and to take responsibility for services Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy Eager to learn new technologies and skills (T-Shape philosophy) Proficiency in agile methodologies, with experience working effectively within agile teams and environments, fostering an agile mindset in daily work Willingness to travel up to 10%  of the time for work Our Offer Be a part of a global company & international team with a diverse variety of backgrounds, skills and views. As part of our IT team, you will actively shape the technology and solutions used by Schaeffler Grow with us! Get access to training platforms, internal & external trainings, supporting experts and the real-life challenges , where you will put all your skills in practice. We work in a hybrid working model (or a fully remote in a special cases) with flexible working hours . Our modern office is located in the center of Wroclaw . We offer attractive benefits package, such as medical and dental care , sports card, life insurance for you and your family. We are also providing access to our Mental Comfort Program. Our Cafeteria Platform allows you to choose from various benefit options with points monthly added to your account. Haven’t found what you are looking for? Our concierge will be happy to help! Join our CSR activities, such as tree planting, riverside cleanup, or participate in other charity events. Spend some time with your work colleagues during integrational events such as mountain trekking, city games and workshops. You can join also one of our many Passion Clubs like Foodies, Sports Team and Language Clubs as well!

🏢 Summary: The role involves developing and maintaining backend components in Python while supporting the implementation of AI-driven features within products. The position focuses on integrating AI/ML components, working with data, and contributing to simple model development and backend services. It is suited for candidates with commercial Python experience and initial hands-on exposure to AI/ML technologies. 🗂️ Requirements: Minimum 2 years of commercial experience with Python, Hands-on experience with AI/ML features, Experience working with APIs, Experience developing backend services, Understanding of software development best practices 📃 Skills: Python, AI, ML, APIs, TensorFlow, PyTorch, scikit-learn, OpenAI, LLM, NLP, AWS, GCP, Azure 🏢 Description: We are looking for a Junior/Regular AI Engineer to join our team and support the development of AI-powered features within our products. This role is ideal for someone with solid Python skills and initial hands-on experience working with AI/ML components. Responsibilities Develop and maintain backend components using Python Support the implementation of AI-driven features and capabilities within products Collaborate with product and engineering teams to integrate AI solutions Work with data and assist in building simple ML/AI models or integrations Contribute to code quality, testing, and documentation Requirements Minimum 2 years of commercial experience with Python Initial hands-on experience with AI/ML features (e.g. working with models, APIs like OpenAI, basic ML pipelines, etc.) Understanding of software development best practices Experience working with APIs and backend services Good problem-solving skills and willingness to learn in the AI space Nice to have Experience with libraries/frameworks such as: TensorFlow, PyTorch, scikit-learn Familiarity with LLMs, NLP, or Generative AI Experience with cloud platforms (AWS, GCP, Azure) Basic knowledge of data engineering concepts We offer Opportunity to work on real AI-driven products Exposure to modern AI technologies and tools Supportive team and learning environment

🏢 Summary: The role involves developing and maintaining Python-based backend components while supporting the implementation of AI-driven features in products. The position focuses on integrating AI/ML solutions, working with data, and contributing to simple model development and backend services. It is suited for candidates with commercial Python experience and initial hands-on exposure to AI technologies. 🗂️ Requirements: Minimum 2 years commercial experience with Python, Hands-on experience with AI/ML features, Experience working with APIs, Experience developing backend services, Understanding of software development best practices 📃 Skills: Python, AI, ML, APIs, TensorFlow, PyTorch, scikit-learn, OpenAI, LLM, NLP, AWS, GCP, Azure 🏢 Description: We are looking for a Junior/Regular AI Engineer to join our team and support the development of AI-powered features within our products. This role is ideal for someone with solid Python skills and initial hands-on experience working with AI/ML components. Responsibilities Develop and maintain backend components using Python Support the implementation of AI-driven features and capabilities within products Collaborate with product and engineering teams to integrate AI solutions Work with data and assist in building simple ML/AI models or integrations Contribute to code quality, testing, and documentation Requirements Minimum 2 years of commercial experience with Python Initial hands-on experience with AI/ML features (e.g. working with models, APIs like OpenAI, basic ML pipelines, etc.) Understanding of software development best practices Experience working with APIs and backend services Good problem-solving skills and willingness to learn in the AI space Nice to have Experience with libraries/frameworks such as: TensorFlow, PyTorch, scikit-learn Familiarity with LLMs, NLP, or Generative AI Experience with cloud platforms (AWS, GCP, Azure) Basic knowledge of data engineering concepts We offer Opportunity to work on real AI-driven products Exposure to modern AI technologies and tools Supportive team and learning environment

🏢 Summary: Remote AI Senior DevOps Engineer role focused on building and automating CI/CD and MLOps pipelines to enable seamless ML model deployment from training to production. The position bridges AI development and operations, emphasizing infrastructure as code, monitoring, DevSecOps, and scalable cloud environments. It involves close collaboration with AI teams to create a self-service model deployment platform. 🗂️ Requirements: 6–8 years experience in DevOps or SRE roles, Minimum 2 years experience in MLOps or AI/ML workloads, Expertise in Jenkins, GitHub Actions, or GitLab CI/CD, Hands-on experience with Azure DevOps, Hands-on experience with Terraform, Advanced knowledge of Docker and Kubernetes, Experience setting up Prometheus and Grafana dashboards, Experience with MySQL, PostgreSQL, or MongoDB, Familiarity with Ansible, Chef, or Puppet, Experience with SAST/DAST and vulnerability scanning in CI/CD, Experience with dataset and model versioning tools, Professional English C1 level 📃 Skills: Azure, Terraform, CloudFormation, Jenkins, GitHub, GitLab, Docker, Kubernetes, Prometheus, Grafana, MySQL, PostgreSQL, MongoDB, Ansible, Chef, Puppet, SAST, DAST, DVC, CI/CD, MLOps 🏢 Description: This is a remote position. Virtusa is seeking an AI Senior DevOps Engineer to bridge the gap between AI development and production-grade operations. You will be responsible for building the automated "highways" that allow ML models to flow from training to deployment seamlessly. This role requires a strong DevOps foundation combined with an understanding of the unique challenges of MLOps, such as GPU resource management, model versioning, and performance monitoring. Key Responsibilities: CI/CD & MLOps Pipelines: Build and maintain automated pipelines for ML models using Azure DevOps, GitHub Actions, or Jenkins. Workflow Automation: Automate model validation, packaging, and deployment workflows to ensure rapid iteration cycles. Infrastructure as Code (IaC): Use Terraform or CloudFormation to provision and manage cloud-native infrastructure, focusing on high-availability and scalability. Monitoring & Observability: Set up comprehensive monitoring for infrastructure (CPU/GPU/Memory) and model performance (latency and drift) using Prometheus and Grafana. DevSecOps Implementation: Integrate security into the heart of the pipeline, including secret management, IAM role configuration, and vulnerability scanning. Collaboration: Work closely with Data Scientists and AI Engineers to enable a self-service platform for model deployment. Requirements 6–8 years of experience in DevOps/SRE roles, with a minimum of 2 years focused on MLOps or supporting AI/ML workloads. Deep expertise in Jenkins, GitHub Actions, or GitLab CI/CD. Hands-on proficiency with Azure DevOps and Terraform (CloudFormation is a strong plus). Advanced knowledge of Docker and Kubernetes for managing distributed AI applications. Proven experience setting up Prometheus and Grafana dashboards for technical and model-specific metrics. Practical experience managing or connecting to MySQL, PostgreSQL, or MongoDB. Familiarity with Ansible, Chef, or Puppet for automated environment setup. Hands-on experience with SAST/DAST tools and automated vulnerability scanning within CI/CD pipelines. Experience with versioning tools for datasets and models (e.g., DVC or similar pipeline versioning logic). Professional English (C1) for seamless interaction with global delivery teams. 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 building and maintaining CI/CD pipelines, automating development and release processes, and implementing Infrastructure as Code in cloud and on-prem environments. The position involves managing Kubernetes deployments, ensuring system security and vulnerability remediation, and supporting scalable, resilient build and data pipeline solutions. This is a long-term, fully remote B2B project. 🗂️ Requirements: 2–3 years of experience as DevOps Engineer, Strong knowledge of Windows or Linux systems, Experience with Microsoft SQL Server, Experience maintaining and deploying applications on Kubernetes (Helm, Ingress), Expertise in CI/CD tools (Azure DevOps, TeamCity, Octopus, Ansible), Practical experience with Infrastructure as Code (Terraform preferred), Experience with Azure, AWS or GCP, Knowledge of networking and security (Subnets, Firewalls, Routing, DNS, TLS/SSL), Experience with vulnerability scanning tools (Veracode, Gradar, Qualys), Experience in patching and vulnerability management automation, Scripting skills for task automation, English level B2/C1 📃 Skills: Kubernetes, Helm, Ingress, AzureDevOps, TeamCity, Octopus, Ansible, Terraform, PowerShell, Linux, Windows, SQLServer, Azure, AWS, GCP, DNS, TLS, SSL, Veracode, Qualys, Gradar, Networking, Subnets, Firewalls, Routing 🏢 Description: For one of our business partners, we are looking for candidates for the position of DevOps Engineer . Your future role: building and setting up new development tools and infrastructure (CI/CD pipeline implementation) working on ways to automate and improve development and release processes Implementing IaaC solutions base on project requirements working with PowerShell, Linux Shell, testing and examining code written by others and analyzing results ensuring that systems are safe and secure against cybersecurity threats identifying technical problems and developing software updates and ‘fixes’ working with software developers and software engineers to ensure that development follows established processes and works as intended Apply if you: have strong and comprehensive knowledge of Windows or Linux systems and Microsoft SQL server , maintaining and deploying applications on Kubernetes ( Helm, Ingress ), have expert knowledge on delivering scalable, resilient and automated builds in local and cloud environments using Azure DevOps, TeamCity, Octopus, Ansible for high-quality data pipelines, have expertise and practical knowledge of Infrastructure as Code approach ( Terraform is preferred), possess detailed knowledge and experience in working with networking components, protocols and security (e.g. Subnets, Firewalls, Routing, DNS, http, TLS/SSL, etc .), know patch and vulnerabilities remediation processes and frameworks, have expert knowledge on patching and upgrading of different platforms (security vulnerabilities like SSL and TLS shortcomings, certificates and cipher strengths), know patch & vulnerability management (including automation of these processes), understand vulnerability scanning using tools like Veracode, Gradar, Qualys or Similar , possess practical experience with Azure (preferred), AWS Google Cloud , know scripts to automate day-to-day tasks, have experience: 2-3 years. have English at B2/C1 level Nice to have: one of top cloud providers (AWS / Azure / GCP) certifications Azure solution architect expert (AZ-305) certificate Offer: Rate: 145-155 PLN/h net+VAT Type of work: 100% remote Contract: B2B signed with Shimi Start: ASAP Longterm project Benefits : Multisport card and private medical care