DevOps Engineer (Jenkins / CI/CD)

🏢 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: Hybrid DevOps Engineer role focused on designing, maintaining and developing CI/CD pipelines, build processes and software delivery environments. The position combines DevOps, Build Engineering and software development support, with responsibility for Jenkins pipelines and Kubernetes-based build infrastructure. 🗂️ Requirements: Proficiency in Python, Experience with Git and Gerrit, Knowledge of C/C++ build systems (make), Experience creating and maintaining Jenkins pipelines, Knowledge of SCM, CI/CD and Software Delivery processes, Experience working with Kubernetes-based build environments, Ability to manage build nodes and container environments 📃 Skills: Python, Git, Gerrit, C, C++, Make, Jenkins, Kubernetes, CI/CD, SCM, Docker 🏢 Description: Opis stanowiska Poszukujemy osoby na stanowisko DevOps Engineer, która będzie odpowiedzialna za projektowanie, utrzymanie oraz rozwój procesów CI/CD, Software Delivery oraz środowisk buildowych. Rola łączy obszary DevOps, Build Engineering oraz wsparcia procesu wytwarzania oprogramowania. Praca odbywa się w trybie hybrydowym we Wrocławiu – regularna obecność w biurze jest konieczna. Zakres obowiązków Tworzenie, rozwój i utrzymanie pipeline’ów CI/CD (Jenkins) Utrzymanie oraz rozwój skryptów buildowych (C/C++, Python) Przygotowywanie, wersjonowanie i dostarczanie pakietów software’owych (release & delivery) Obsługa i utrzymanie środowiska buildowego opartego o Kubernetes Zarządzanie build nodes oraz środowiskami kontenerowymi Wsparcie procesów Continuous Integration oraz integracji systemowej Współpraca z zespołami developerskimi przy optymalizacji procesów wytwarzania oprogramowania Wymagania Znajomość Python Doświadczenie w pracy z Git / Gerrit Znajomość systemów buildowych C/C++ (make) Doświadczenie z Jenkins (tworzenie i utrzymanie pipeline’ów) Znajomość procesów i narzędzi SCM, CI/CD oraz Software Delivery Mile widziane Doświadczenie w projektach telco lub embedded Znajomość Libvirt Doświadczenie z ZUUL Oferujemy Pracę przy zaawansowanych projektach technologicznych Możliwość rozwoju w obszarze DevOps i Build Engineering Lokalizacja 📍 Wrocław 🏢 Tryb hybrydowy – obecność w biurze jest obowiązkowa

🏢 Summary: Junior DevOps Engineer role focused on supporting and automating cloud infrastructure for AI training and inference workloads. The position involves working with CI/CD pipelines, containerization, Infrastructure as Code, and monitoring systems in a hands-on learning environment. It offers growth in DevOps, platform engineering, and cloud operations. 🗂️ Requirements: 0–2 years in DevOps, IT operations, infrastructure, or system administration, Knowledge of Linux and terminal usage, Knowledge of Python for automation and scripting, Ability to write automation scripts, Practical knowledge of AWS and basic cloud services, Understanding of cloud infrastructure concepts, Knowledge of Docker and containerization, Basic understanding of CI/CD concepts, Ability to use Git, Basic understanding of networking, security, logging, and monitoring, Interest in Infrastructure as Code tools (Terraform or Ansible), Basic understanding of Kubernetes, Communicative English 📃 Skills: Linux, Python, AWS, Docker, CI/CD, Git, Terraform, Ansible, Kubernetes, Bash, Prometheus, Grafana, Loki, OpenTelemetry, GitHub, GitLab, Jenkins 🏢 Description: About the role We are looking for a Junior DevOps Engineer to support the development, automation, and maintenance of infrastructure used for AI training and inference workloads. In this role, you will work with experienced engineers on cloud and infrastructure automation, CI/CD pipelines, application environments, monitoring, and operational support. This is a hands-on position for someone who wants to grow in DevOps, platform engineering, cloud infrastructure, and modern operations. Responsibilities Support the maintenance and development of cloud and infrastructure environments Help prepare, maintain, and troubleshoot application environments Automate repetitive tasks using Python, Bash, and scripts Support the creation and maintenance of CI/CD pipelines Assist with Infrastructure as Code solutions for servers, networking, storage, and cluster components Monitor systems, analyze logs, and help troubleshoot technical issues Work with development, infrastructure, networking, and AI/ML teams on application deployment and platform operations Support the stability, security, and reliability of infrastructure Help identify manual processes that can be automated Document technical solutions, runbooks, and operational processes Requirements 0–2 years of experience in DevOps, IT operations, infrastructure, system administration, or a similar area Good knowledge of Linux and working in the terminal Good knowledge of Python for automation, scripts, and simple internal tools Ability to write clear scripts automating repetitive tasks Practical knowledge of AWS and basic cloud services Understanding of cloud environments and basic cloud infrastructure concepts Good knowledge of Docker and application containerization Basic understanding of CI/CD concepts Ability to work with Git Basic understanding of networking, security, logs, and monitoring Interest in Infrastructure as Code tools such as Terraform or Ansible Basic understanding of Kubernetes or willingness to learn Strong problem-solving attitude and eagerness to learn Ability to communicate clearly and work in a technical team Communicative English, as you will work in an international environment Nice to have First experience with Kubernetes, Terraform, Ansible, or GitOps Familiarity with monitoring tools such as Prometheus, Grafana, Loki, or OpenTelemetry Basic understanding of DevSecOps practices and vulnerability management Familiarity with AI infrastructure, GPU environments, HPC, or data center operations Experience with GitHub Actions, GitLab CI, Jenkins, or similar tools Interest in platform engineering, SRE, or large-scale infrastructure What we offer Benefits package Opportunity to learn from experienced infrastructure, platform, cloud, and AI engineers Work on modern infrastructure supporting AI workloads Space for professional growth in DevOps and platform engineering Remote or hybrid work from Poland

🏢 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: Offer for a DevOps Engineer to develop and maintain data-driven environments based on AWS and Databricks, with strong focus on automation and optimization. The role involves building CI/CD pipelines, managing cloud infrastructure, and supporting data projects in production environments. 🗂️ Requirements: Minimum 5 years of experience as DevOps Engineer, Hands-on experience with AWS, Practical experience with Databricks, Experience with Jenkins and CI/CD pipelines, Experience in data-related projects (data pipelines, big data), Strong knowledge of Python, Ability to automate processes using Infrastructure as Code, Good knowledge of Linux systems 📃 Skills: AWS, Databricks, Jenkins, Python, Linux, CI/CD, IaC, BigData, DataPipelines 🏢 Description: Poszukujemy DevOps Engineera z doświadczeniem w obszarze danych , który dołączy do zespołu pracującego nad nowoczesnymi rozwiązaniami data-driven. Projekt obejmuje rozwój i utrzymanie środowisk opartych o Databricks oraz AWS , ze szczególnym naciskiem na automatyzację i optymalizację procesów. Zakres obowiązków Zarządzanie i rozwój infrastruktury DevOps w środowisku AWS Praca z platformą Databricks (deployment, konfiguracja, optymalizacja) Tworzenie i utrzymanie pipeline’ów CI/CD ( Jenkins ) Automatyzacja procesów (Infrastructure as Code, skrypty) Monitorowanie, optymalizacja i utrzymanie środowisk produkcyjnych Wymagania: Doświadczenie na stanowisku DevOps Engineer minimum 5 lat Praktyczna znajomość: AWS / Databricks / Jenkins Doświadczenie w pracy z danymi lub projektami data (data pipelines, big data) Znajomość Python Umiejętność automatyzacji procesów i pracy z CI/CD Dobra znajomość systemów Linux

🏢 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 building and maintaining CI/CD pipelines and automation for a modern data platform. The position involves supporting development and QA teams, managing Kubernetes environments, and advancing DevOps and platform engineering practices. Work is carried out in an Agile, international environment using container and automation technologies. 🗂️ Requirements: 5+ years of DevOps experience, Strong CI/CD knowledge and hands-on Jenkins experience, Experience with Terraform and Ansible, Proficiency in Linux systems, Bash and Python scripting skills, Practical experience with Kubernetes and container technologies, Proficiency with Git and source control tools 📃 Skills: Jenkins, Groovy, JobDSL, Terraform, Ansible, Bash, Python, Kubernetes, Docker, Linux, Git, CICD 🏢 Description: Dołącz do zespołu rozwijającego nowoczesną platformę wspierającą tworzenie i wdrażanie rozwiązań opartych na danych. Poszukujemy doświadczonej osoby na stanowisko Senior DevOps Engineer, która będzie odpowiadać za rozwój procesów automatyzacji, utrzymanie środowisk CI/CD oraz wsparcie zespołów deweloperskich i QA w dostarczaniu wysokiej jakości produktów. Praca odbywa się w międzynarodowym środowisku Agile, z wykorzystaniem nowoczesnych narzędzi DevOps i technologii kontenerowych. Zakres obowiązków Projektowanie, rozwój i utrzymanie pipeline’ów CI/CD w Jenkins (JobDSL, Groovy). Tworzenie oraz rozwój automatyzacji z wykorzystaniem Terraform i Ansible. Tworzenie i utrzymanie skryptów w Bash/Shell oraz Python. Rozwijanie narzędzi wspierających procesy developerskie, testowe i wdrożeniowe. Wsparcie wdrożeń oraz rozwiązywanie problemów w środowiskach Kubernetes. Współpraca z zespołami programistycznymi, QA oraz innymi zespołami technicznymi. Konsultowanie i wdrażanie rozwiązań z zakresu DevOps oraz Platform Engineering. Dzielenie się wiedzą poprzez szkolenia, prezentacje i warsztaty techniczne. Wsparcie inicjatyw związanych z automatyzacją procesów i rozwojem platform danych. Okazjonalny rozwój rozwiązań opartych o Docker i Kubernetes. Wymagania Minimum 5 lat doświadczenia na stanowisku DevOps Engineer lub podobnym. Bardzo dobra znajomość zagadnień CI/CD oraz praktyczne doświadczenie z Jenkins. Doświadczenie w pracy z Terraform oraz Ansible. Bardzo dobra znajomość systemów Linux. Umiejętność tworzenia skryptów automatyzujących w Bash oraz Python. Praktyczna znajomość Kubernetes i technologii kontenerowych. Dobra znajomość Git oraz narzędzi do zarządzania kodem źródłowym. Umiejętność pracy w środowisku Agile. Komunikatywna znajomość języka angielskiego. Mile widziane Doświadczenie z Kafka, Airflow lub Spark. Znajomość AWS. Doświadczenie z Hadoop. Znajomość SonarQube. Doświadczenie z PostgreSQL. Znajomość Tekton. Doświadczenie w projektach związanych z platformami danych lub Data Engineering.

🏢 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: 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 ​;

🏢 Summary: The offer is for an experienced DevOps Engineer to support and optimize Camunda-based process automation environments. The role focuses on building and maintaining CI/CD pipelines, managing containerized deployments, and ensuring reliable, scalable cloud infrastructure. You will collaborate with development teams to automate deployments and improve system stability and performance. 🗂️ Requirements: Hands-on experience with Camunda platform, Minimum 3 years experience as DevOps Engineer, Experience with Docker, Experience with Kubernetes, Experience with Helm, Experience with ArgoCD, Practical experience with Jenkins, Experience with CI/CD pipelines 📃 Skills: Camunda, Docker, Kubernetes, Helm, ArgoCD, Jenkins, CICD, Azure, AWS, Ansible, ELK, Grafana, Kibana, Git 🏢 Description: We are looking for an experienced DevOps Engineer with strong hands-on expertise in the Camunda platform to support the development, deployment, and maintenance of process-driven applications. The role focuses on automation, CI/CD pipeline management, containerized environments, and collaboration with development teams to ensure stable, scalable, and efficient application delivery. Key Responsibilities Design, build, and maintain CI/CD pipelines to support application development and deployment processes. Automate application deployments and manage the rollout of new software versions. Manage and optimize cloud-based infrastructure supporting business-critical applications. Monitor application performance and system stability using observability and logging tools. Collaborate closely with development teams to support application deployment and maintenance. Troubleshoot system issues, analyze errors, and implement improvements to enhance reliability and performance. Support and maintain environments running Camunda-based process automation solutions. Must Have Hands-on experience working with the Camunda platform. Minimum 3 years of experience in a DevOps Engineer role. Experience with containerization and orchestration technologies, including: Docker Kubernetes (K8s) Helm Charts ArgoCD Practical knowledge of CI/CD pipeline tools (e.g., Jenkins). Nice to Have Experience with cloud platforms such as Azure or AWS. Familiarity with infrastructure and automation tools such as Ansible or Ansible Tower. Experience with monitoring and logging solutions such as ELK Stack, Grafana, or Kibana. Experience working with Git and modern DevOps workflows.