Junior DevOps Engineer

🏢 Summary: Entry-level DevOps Engineer role focused on developing skills in infrastructure, automation, and CI/CD within a supportive team environment. The position involves assisting in maintaining environments, implementing CI/CD pipelines, deployments, and working with modern DevOps tools. It offers hands-on learning and gradual increase of responsibility in real projects. 🗂️ Requirements: Willingness to develop in DevOps/SRE area, Basic knowledge of operating systems, Basic knowledge of networking, Basic knowledge of programming or administration, Ability to read technical documentation in English, Foundational understanding of IT infrastructure concepts 📃 Skills: Docker, Kubernetes, OpenShift, Rancher, GitLab, ArgoCD, FluxCD, Terraform, OpenTofu, Bash, Python, Grafana, Kibana, Git, CI/CD 🏢 Description: Kogo poszukujemy? Poszukujemy Ciebie – Junior DevOps Engineer , osoby na początku swojej drogi zawodowej, która chce rozwijać się w obszarze infrastruktury, automatyzacji i procesów CI/CD. Nie wymagamy dużego doświadczenia komercyjnego – ważniejsze są dla nas Twoje predyspozycje, zaangażowanie oraz chęć nauki. Szukamy osoby ciekawskiej, która lubi rozumieć „jak coś działa”, nie boi się zadawać pytań i chce rozwijać się w kierunku DevOps. Jeśli interesujesz się technologią, masz pierwsze doświadczenia (np. projekty własne, studia, kursy) i chcesz zdobywać praktyczne umiejętności – to ogłoszenie jest dla Ciebie. 🚀 Sprawdź, jakie zadania czekają na Ciebie: Wsparcie zespołu w utrzymaniu i rozwoju środowisk technicznych Udział w pracach nad automatyzacją procesów CI/CD Pomoc przy wdrożeniach aplikacji oraz konfiguracji środowisk Nauka i udział w pracy z narzędziami DevOps oraz infrastrukturą Współpraca z zespołami developerskimi i poznawanie ich potrzeb Wsparcie w diagnozowaniu problemów i analizie logów Udział w rozwijaniu dobrych praktyk DevOps Stopniowe przejmowanie coraz większej odpowiedzialności wraz z rozwojem Praca z biura 1–2 razy w tygodniu w Warszawie lub Białymstoku. 🏆 To stanowisko będzie Twoje, jeśli: Masz chęć nauki i rozwoju w obszarze DevOps / SRE Jesteś osobą zaangażowaną, odpowiedzialną i dobrze zorganizowaną Potrafisz komunikować się w zespole i nie boisz się zadawać pytań Interesujesz się technologią i chcesz rozwijać swoje kompetencje techniczne Masz podstawową wiedzę z zakresu IT (np. systemy operacyjne, sieci, programowanie lub administracja) Znasz język angielski na poziomie pozwalającym czytać dokumentację i komunikować się 🌱 W tych obszarach będziesz się rozwijać: Konteneryzacja i praca z Dockerem Kubernetes i jego ekosystem (np. OpenShift, Rancher) Tworzenie i rozwój pipeline’ów CI/CD (np. GitLab CI) Podejście GitOps (ArgoCD, FluxCD) Infrastructure as Code (Terraform, OpenTofu) Skrypty automatyzujące (Bash, Python) Monitoring i logowanie (Grafana, Kibana) Podstawy pracy z bazami danych i systemami kolejkowymi Procesy budowania i wdrażania aplikacji 🛠️ Jak działamy? Pracujemy zespołowo i dzielimy się wiedzą – możesz liczyć na wsparcie bardziej doświadczonych osób Stawiamy na rozwój – uczysz się w praktyce, a nie tylko „z boku” Dajemy przestrzeń do zadawania pytań i popełniania błędów (to część nauki 😉) Współpracujemy blisko z deweloperami i uczymy się od siebie nawzajem Zachęcamy do inicjatywy – Twoje pomysły są mile widziane 💎 Dołączając do nas masz pewność: Procesu rekrutacyjnego prowadzonego w 100% zdalnie Realnej możliwości rozwoju w kierunku DevOps i SRE Wsparcia mentorskiego i pracy z doświadczonym zespołem Pakietu benefitów (opieka medyczna, platforma kafeteryjna, szkolenia) Zdobywania praktycznego doświadczenia w nowoczesnych technologiach

🏢 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: 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, maintaining, and optimizing Jenkins-based CI/CD pipelines and automation workflows. The position involves administering Jenkins environments, developing Groovy-based pipelines and shared libraries, and supporting reliable build and deployment processes. The role also includes basic cloud operations and integration with version control systems. 🗂️ Requirements: Proven experience with Jenkins in DevOps or CI/CD role, Strong knowledge of Groovy for Jenkins Pipelines and Shared Libraries, Experience with Jenkins administration (plugins, security, agents, troubleshooting), Experience with CI/CD pipeline design and maintenance, Proficiency in PowerShell scripting, Experience with Git and GitHub workflows, Basic knowledge of AWS and/or Azure operations and troubleshooting 📃 Skills: Jenkins, Groovy, PowerShell, Git, GitHub, AWS, Azure, CI/CD 🏢 Description: About the role We are looking for a DevOps Engineer with strong expertise in Jenkins and CI/CD pipelines to support our customers in maintaining and enhancing their software delivery processes. In this role, you will focus on building, optimizing, and administering Jenkins-based environments , with a strong emphasis on Groovy-based pipelines and automation . You will collaborate closely with development and operations teams to ensure reliable, scalable, and secure build and deployment workflows . This position also offers exposure to modern cloud platforms and DevOps tools, allowing you to continuously expand your skill set while delivering high-quality solutions. Responsibilities Design, implement, and maintain CI/CD pipelines using Jenkins (Declarative & Scripted Pipelines) Develop and manage reusable Jenkins Shared Libraries using Groovy Administer and support Jenkins environments (plugins, security, performance, scalability) Troubleshoot pipeline failures, performance issues, and system bottlenecks Collaborate with development teams to optimize build, test, and deployment workflows Automate operational tasks using PowerShell and other scripting tools Integrate Jenkins with version control systems (e.g., GitHub ) Monitor systems and pipelines, supporting incident resolution Assist with basic cloud operations ( AWS/Azure ) – including log analysis and basic troubleshooting Document pipelines, configurations, and operational procedures Requirements Proven experience with Jenkins in a DevOps or CI/CD role Strong knowledge of Groovy , especially in Jenkins Pipelines and Shared Libraries Solid understanding of Jenkins administration (plugins, security, agents, troubleshooting) Experience with scripting ( PowerShell required; Bash/Python is a plus ) Familiarity with Git and GitHub workflows Basic knowledge of cloud platforms ( AWS and/or Azure ), including: Logging and monitoring Basic troubleshooting (e.g., restarting services or instances) Understanding of CI/CD concepts and DevOps practices Good command of English (written and spoken) for daily communication with stakeholders Nice to have Experience with Artifactory or other artifact repositories Exposure to Docker and containerization Familiarity with monitoring tools (e.g., Datadog ) Basic knowledge of cloud-native tools and services in AWS/Azure

🏢 Summary: DevOps Engineer role focused on supporting and scaling modern data platforms by combining DevOps practices with data engineering expertise. The position involves building and maintaining CI/CD pipelines, managing cloud-based data infrastructure, and ensuring reliable, automated data workflows. You will collaborate with data teams to optimize performance, scalability, and security of data solutions. 🗂️ Requirements: 4–5 years experience in DevOps or similar role, Hands-on experience with Databricks, Strong experience with AWS, Experience building and maintaining CI/CD pipelines with Jenkins, Background in data engineering or data platforms, Basic to intermediate Python knowledge, Understanding of ETL/ELT processes, Knowledge of distributed data systems 📃 Skills: Jenkins, Databricks, AWS, Python, CICD, ETL, ELT, DevOps, DataEngineering, Cloud, DistributedSystems 🏢 Description: About the Role We are looking for a DevOps Engineer with a strong data background to support and scale modern data platforms. In this role, you will work at the intersection of DevOps and Data Engineering , ensuring reliable, automated, and efficient data pipelines and environments. You will be responsible for maintaining and improving CI/CD processes, supporting cloud-based data platforms, and collaborating with data engineers and analytics teams to enable smooth data operations. Key Responsibilities Design, implement, and maintain CI/CD pipelines using Jenkins . Manage and optimize data platforms based on Databricks . Build and maintain cloud infrastructure on Amazon Web Services . Support deployment, monitoring, and troubleshooting of data pipelines and workflows. Collaborate closely with data engineers to improve reliability and performance of data solutions. Automate infrastructure and operational processes. Ensure best practices in security, scalability, and performance across the platform. Required Skills & Experience 4–5 years of experience in a DevOps Engineer or similar role. Hands-on experience with Databricks . Strong experience with Amazon Web Services . Experience building and maintaining CI/CD pipelines using Jenkins . Background in data engineering or experience working with data platforms. Basic to intermediate knowledge of Python . Understanding of data pipelines, ETL/ELT processes, and distributed data systems. Strong problem-solving skills and ability to troubleshoot complex issues. Good communication skills and ability to work in cross-functional teams.

🏢 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 and maintaining scalable infrastructure while automating CI/CD processes to support operational workflows. The DevOps Engineer will build deployment pipelines, integrate systems, and ensure system performance and reliability in an Agile environment. The position focuses on infrastructure automation and collaboration with development and operations teams. 🗂️ Requirements: Several years of experience as DevOps Engineer, Strong knowledge of CI/CD tools, Experience with Kubernetes, Experience with Docker, Knowledge of monitoring and observability tools, Ability to work with SQL, Experience with automation scripting, Experience working in Agile environment 📃 Skills: CI/CD, Kubernetes, Docker, SQL, Monitoring, Observability, Scripting, Agile 🏢 Description: Poszukujemy osoby na stanowisko DevOps Engineer do zespołu odpowiedzialnego za rozwój i wdrażanie zautomatyzowanych procesów wspierających obsługę wniosków i procesów operacyjnych. Rola obejmuje budowę oraz utrzymanie nowoczesnej infrastruktury, automatyzację procesów CI/CD oraz współpracę z zespołami developerskimi i biznesowymi w środowisku Agile. Zakres obowiązków: Projektowanie i wdrażanie skalowalnej infrastruktury Budowa i utrzymanie pipeline’ów CI/CD Automatyzacja procesów wdrożeniowych i operacyjnych Monitorowanie wydajności systemów oraz wdrażanie usprawnień Integracja systemów i optymalizacja workflow Współpraca z zespołami developerskimi, operations oraz biznesem Udział w projektowaniu rozwiązań technicznych i procesowych Wymagania: Kilkuletnie doświadczenie na stanowisku DevOps Engineer Bardzo dobra znajomość narzędzi CI/CD oraz technologii kontenerowych Doświadczenie w pracy z Kubernetes oraz Docker Znajomość monitoringu i observability Umiejętność pracy z SQL oraz skryptami automatyzującymi Doświadczenie w środowisku Agile Komunikatywność i umiejętność pracy zespołowej Mile widziane doświadczenie w sektorze finansowym lub procesach workflow

🏢 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

🏢 Summary: Senior DevOps Engineer role focused on owning and evolving cloud-native infrastructure and CI/CD platforms supporting large-scale data processing systems. The position combines hands-on engineering with strategic platform development to ensure scalable, secure, and reliable production environments. You will design, automate, and maintain infrastructure and observability solutions across distributed systems. 🗂️ Requirements: 5+ years in DevOps, SRE, or infrastructure engineering, Experience supporting production systems in distributed environments, Hands-on experience with public cloud platforms (AWS or similar), Strong knowledge of Docker and Kubernetes, Experience with infrastructure as code tools (Terraform), Strong scripting/programming skills (Python or Bash), Experience building and maintaining CI/CD pipelines, Knowledge of observability, monitoring, and logging tools, Strong troubleshooting and incident response skills in Linux environments 📃 Skills: AWS, Docker, Kubernetes, Terraform, Python, Bash, Linux, CICD, Observability, Automation, Infrastructure, Cloud 🏢 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

🏢 Summary: Offer for an experienced DevOps Engineer responsible for designing, implementing, and maintaining IT infrastructure while improving CI/CD processes in collaboration with development teams. The role focuses on container orchestration, automation, and cloud-based environments. It requires hands-on experience with modern DevOps tools and platforms. 🗂️ Requirements: Minimum 3 years of experience as DevOps Engineer, Experience with Kubernetes and container orchestration, Experience implementing and managing CI/CD pipelines, Experience with CI/CD tools: Jenkins, GitHub Actions, Azure DevOps, GitLab CI/CD, Bitbucket Pipelines, Proficiency in GNU/Linux systems, Experience with at least one cloud platform: AWS, Azure or GCP 📃 Skills: Kubernetes, Jenkins, GitHubActions, AzureDevOps, GitLabCI, BitbucketPipelines, Linux, AWS, Azure, GCP, CICD, Docker, Podman, Ansible, Terraform, Prometheus, Grafana, ELK 🏢 Description: Opis projektu: W związku z rozwojem zespołu DevOps poszukujemy doświadczonego DevOps Engineera, który będzie odpowiedzialny za projektowanie, wdrażanie oraz utrzymanie infrastruktury IT. Rola obejmuje również współpracę z zespołami developerskimi w zakresie usprawniania procesów CI/CD. Wymagania: minimum 3 lata doświadczenia na stanowisku DevOps Engineer; znajomość Kubernetes oraz doświadczenie w zarządzaniu kontenerami i orkiestracją; doświadczenie w implementacji i zarządzaniu procesami CI/CD , w tym narzędziami takimi jak: Jenkins, GitHub Actions, Azure DevOps, GitLab CI/CD, Bitbucket Pipelines; umiejętność pracy z systemami GNU/Linux; praktyczna znajomość co najmniej jednej chmury: AWS, Azure lub GCP; bardzo dobra znajomość języka angielskiego. Mile widziane: znajomość narzędzi do automatyzacji i zarządzania: Docker, Podman, Ansible, Terraform; znajomość dodatkowych technologii związanych z konteneryzacją i orkiestracją; doświadczenie w pracy z bazami danych oraz zarządzaniu infrastrukturą chmurową; znajomość narzędzi monitorujących: Prometheus, Grafana, ELK Stack ​;