Principal DevOps Engineer

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

🏢 Summary: Hands-on DevOps Engineer role focused on designing and implementing CI/CD, Infrastructure as Code and GitOps practices within an Azure-based environment. The position centers on automation, secure pipeline delivery and standardizing DevOps practices using GitHub and Azure DevOps. You will enable developer self-service, improve release automation and ensure scalable, compliant cloud infrastructure deployments. 🗂️ Requirements: Strong hands-on experience with GitHub Actions, Strong hands-on experience with Azure DevOps Pipelines, Strong experience designing and implementing CI/CD pipelines, Practical experience with Infrastructure as Code using Bicep, Experience with GitOps principles and version-controlled workflows, Strong knowledge of Azure cloud services, Understanding of Azure identity and access management, Experience with secrets management and pipeline security, Experience implementing DevOps practices across multiple teams, Ability to troubleshoot pipelines, deployments and infrastructure 📃 Skills: Azure, GitHub, AzureDevOps, Git, Bicep, CI/CD, GitOps, KeyVault, AppServices, AzureSQL, ContainerApps, AKS, Flux, ArgoCD, ApplicationInsights, LogAnalytics 🏢 Description: We are looking for a hands-on DevOps Engineer to support the design, implementation and improvement of DevOps capabilities across a modern Azure-based engineering landscape. This role is focused on technical delivery, automation, CI/CD, Infrastructure as Code, GitOps practices and developer enablement using GitHub, Azure DevOps and Azure-native services. The ideal candidate should be able to design and implement reusable DevOps solutions, improve pipeline quality, support release automation and help teams adopt standardized engineering practices. What project we have for you Our client is the fastest-growing global manufacturing company. An international corporation with over a hundred years of history, internationally recognized brands and Reduced-Risk Products. Intellias’ mission is to support its strategy and efforts in the Digital and e-commerce space (e-commerce and other apps mobile apps, payment gateways, loyalty system, search engine, employee management, identity management, etc.). A newly conceptualized Digital Eco System is comprised of a set of capabilities including an online shop & website, linking online & offline, customization & personalization, engagement & membership, digital product & services main differences. What you will do CI/CD Pipeline Design and Implementation Design, build and maintain CI/CD pipelines using: GitHub Actions Azure DevOps Pipelines Create reusable pipeline templates and workflows. Implement build, test, scan, package and deployment stages. Improve pipeline reliability, performance and execution time. Support secure-by-default pipelines with integrated quality and security checks. GitHub and Azure DevOps Engineering Practices Implement and maintain good practices for: Branching strategies Pull request workflows Code review checks Build validation Release approvals Configure and maintain: Repository permissions Branch protection rules Pipeline permissions Service connections Support consistent usage of GitHub and Azure DevOps across multiple products and teams. GitOps and Environment Automation Implement GitOps-based delivery practices where applicable. Ensure environment changes are managed through version-controlled definitions. Support pull-request-based changes for infrastructure and application configuration. Help establish clear separation between: Source code Infrastructure definitions Environment configuration Deployment manifests Support automated synchronization of desired state into target environments. Ensure traceability between code changes, infrastructure changes and deployments. Infrastructure as Code and Azure Delivery Design, implement and maintain Infrastructure as Code using: Bicep Azure-native deployment tooling Create reusable IaC modules and deployment templates. Automate provisioning of Azure resources and environments. Ensure infrastructure is: Version-controlled Repeatable Reproducible Secure by default Aligned with enterprise standards Support deployment automation for Azure services such as App Services, Azure Container Apps, Azure SQL, Key Vault, Storage Accounts, Application Insights and related services. Release and Deployment Automation Implement safe and repeatable release processes. Support deployment strategies such as: Environment promotion Blue/green deployments Canary releases, where applicable Rollback procedures Automate release notes, versioning and deployment tracking where possible. Reduce manual deployment steps and operational risk. Security, Secrets and Compliance Automation Integrate security checks into CI/CD pipelines, including: Dependency scanning Secret scanning Static code analysis Infrastructure validation Container image scanning, where applicable Implement secure secrets handling using Azure Key Vault, GitHub secrets and Azure DevOps variable groups/service connections. Support least-privilege access patterns for pipelines and deployment identities. Help ensure DevOps workflows are auditable and compliant with enterprise requirements. Developer Experience and Self-Service Enablement Create reusable templates, examples and documentation for development teams. Simplify pipeline onboarding for new projects. Provide self-service DevOps building blocks for common scenarios. Improve the developer experience by reducing manual steps and unclear processes. Support teams in adopting standardized DevOps workflows. GitHub and Azure DevOps Organization Administration Administer and configure GitHub organizations and Azure DevOps organizations/projects. Manage organization-level settings, policies and governance controls. Support standardized repository and project setup for new teams. Ensure consistent governance across GitHub repositories and Azure DevOps projects. What you need for this Core Technical Skills Strong hands-on experience with: GitHub Actions Azure DevOps Pipelines Git Azure cloud services Strong experience designing and implementing CI/CD pipelines. Practical experience with Infrastructure as Code, preferably Bicep. Experience with GitOps principles and version-controlled delivery workflows. Good understanding of Azure identity, permissions, service connections and managed identities. Experience with pipeline security, secrets management and deployment automation. DevOps and Delivery Expertise Experience implementing DevOps practices across multiple applications or teams. Strong understanding of: CI/CD design Release automation Environment management Version control strategies Pull request workflows Quality gates Deployment approvals Ability to troubleshoot pipeline, deployment and infrastructure issues. Ability to create reusable technical patterns rather than one-off solutions. Azure and Platform Engineering Knowledge Experience working with Azure-native services. Understanding of cloud resource provisioning, configuration and monitoring. Nice to Have Experience with .NET application delivery. Experience with Azure Container Apps or Kubernetes-based deployments. Experience with GitOps tools such as Flux or Argo CD. Exposure to GitHub Copilot or AI-assisted development workflows. Experience with Azure Monitor, Application Insights or Log Analytics. Familiarity with container-based delivery using Azure Container Apps or AKS. Understanding of platform engineering concepts. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

🏢 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

🏢 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: Role for an experienced DevOps / Cloud Engineer to design, implement, and maintain scalable AWS cloud infrastructure with strong focus on automation, CI/CD, and container orchestration. The position involves infrastructure as code, microservices support, performance optimization, and secure cloud deployments in an Agile environment. 🗂️ Requirements: Minimum 5 years experience as Cloud DevOps Engineer or Cloud Engineer, Proficiency with core AWS services (IAM, networking, storage, API Gateway, serverless, monitoring), Experience building infrastructure using Terraform, Experience with CI/CD tools (GitHub Actions preferred), Experience with microservices (AWS ECS, Kubernetes), Experience with scripting (Bash, Python), Experience with GitHub and pull request workflows, Experience with Jira and Agile (Scrum), Ability to implement security and governance standards, Experience writing unit tests and working with CI/CD pipelines 📃 Skills: AWS, IAM, Networking, Storage, APIGateway, Serverless, Monitoring, Terraform, CICD, GitHubActions, GitHub, Jira, Kubernetes, ECS, Microservices, Bash, Python, Scrum 🏢 Description: DevOps / Cloud Engineer (AWS) We are looking for an experienced DevOps / Cloud Engineer to join our team and support the design, implementation, and maintenance of scalable, high-performance cloud infrastructure on AWS. This role combines infrastructure engineering, automation, CI/CD, container orchestration, and performance optimization in modern cloud environments. Responsibilities In particular, the services to be provided under the contract comprise the following: compliance with company standards reviewing development backlog in Jira, picking up the next priority Development backlog item/user story, writing the code to fulfil the functional and non-functional aspects of the backlog item, writing unit tests to cover the acceptance criteria for the backlog item, submit a pull request to check in the code into GitHub, address any peer review feedback coming from the pull request review, trigger the CI/CD pipeline to deploy the new feature into the test environment. Requirements Polish – C2, English C1 minimum of 5 years of experience as a Cloud DevOps Engineer or Cloud Engineer proficiency with core AWS services, including IAM, networking, storage, API Gateways, AWS Serverless, monitoring, etc. ability to set up cloud infrastructure using Terraform, following best practices experience with CI/CD tools (preferably GitHub Actions) strong focus on adherence to security, development, and governance standards experience in troubleshooting and working with microservices (AWS ECS, Kubernetes) experience in scripting languages (Bash, Python) experience collaborating with various stakeholders (architects, security teams, business) experience working in an Agile environment (e.g. Scrum) strong communication and interpersonal skills commitment to quality, documentation, and adherence to standards across teams and the organization What we offer: The opportunity to participate in a variety of projects. Remote work from any location, or a hybrid model using our offices located in Poznań. A home office package to increase remote work comfort (chair, additional monitor, ergonomic mouse, etc.). Modern offices equipped with amenities such as a pool table, foosball, darts, and relaxation zones. Opportunities to spend time together after work - combining our employees’ passions through ski trips, cycling tours, and sailing adventures. Regular company-wide and team-based integration events, as well as many other occasions to meet and exchange ideas with colleagues. Celebrations of important moments in the lives of our employees An open approach to new ideas and initiatives, including charity actions.

🏢 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 to design, automate and maintain large-scale hybrid cloud infrastructure using modern DevOps tools. The role focuses on CI/CD automation, Kubernetes orchestration, infrastructure as code and system monitoring. You will ensure high availability, performance and reliability in a complex project environment. 🗂️ Requirements: 3–5 years of DevOps experience, Strong knowledge of Kubernetes, Strong knowledge of Helm, Experience with GitLab and CI/CD pipelines, Strong Linux knowledge, Knowledge of networking, Experience with Prometheus and Grafana, Experience with ELK stack, Practical experience with Python, Knowledge of PostgreSQL, Experience with Terraform, Experience with AWS infrastructure 📃 Skills: Kubernetes, Helm, GitLab, CICD, Linux, Networking, Prometheus, Grafana, ELK, Python, Django, PostgreSQL, Terraform, AWS 🏢 Description: Do naszego zespołu poszukujemy doświadczonego DevOps Engineera, który dołączy do realizacji złożonego, wymagającego projektu o dużej skali. Jeśli lubisz pracę z nowoczesnym stackiem technologicznym, automatyzację procesów i rozwiązywanie realnych problemów infrastrukturalnych - zapraszamy! Zakres obowiązków: projektowanie, rozwój i utrzymanie infrastruktury w środowisku chmurowym (hybrydowym); automatyzacja procesów CI/CD oraz rozwój pipeline’ów; zarządzanie i orkiestracja środowisk kontenerowych (Kubernetes, Helm); monitorowanie i optymalizacja systemów (Prometheus, Grafana, ELK); współpraca z zespołami developerskimi przy wdrażaniu i utrzymaniu aplikacji; diagnozowanie problemów wydajnościowych i zapewnienie wysokiej dostępności systemów. Wymagania: 3–5 lat doświadczenia na stanowisku DevOps lub pokrewnym; bardzo dobra znajomość Kubernetes oraz Helm; doświadczenie z GitLab i GitLab CI/CD; solidna znajomość systemów Linux oraz zagadnień sieciowych; praktyczne doświadczenie z narzędziami monitoringu (Prometheus, Grafana) oraz ELK Stack; umiejętność pracy z Pythonem (mile widziane Django); znajomość baz danych PostgreSQL; doświadczenie z Terraform oraz infrastrukturą w AWS; umiejętność pracy w złożonym środowisku projektowym. Oferujemy: udział w ambitnym i technicznie wymagającym projekcie; dużą samodzielność i realny wpływ na architekturę systemu; bardzo elastyczny model współpracy - możliwa praca od 0,5 etatu do pełnego zaangażowania, w zależności od miesiąca i aktualnych potrzeb projektu; elastyczną formę współpracy; możliwość pracy z nowoczesnym stackiem technologicznym; przyjazną atmosferę i wsparcie zespołu. Proces rekrutacji: Przegląd zgłoszeń. 10-minutowy video screening na Google Meet z wybranymi kandydatami - zamiast screeningu telefonicznego wolimy tę formę, bo wierzymy, że wtedy możemy lepiej poczuć, czy do siebie pasujemy! Rozmowa z Liderką teamu oraz krótki test kompetencji logicznych.

🏢 Summary: Cloud Engineer role focused on automating and securing global Azure infrastructure by transforming network and security processes into scalable Infrastructure-as-Code. The position bridges Network Infrastructure and DevOps, driving cloud networking architecture, DevSecOps integration, and CI/CD automation. Responsible for ensuring architectural stability, security enforcement, and automated multi-region Azure deployments. 🗂️ Requirements: Expert-level Terraform experience, Deep practical knowledge of Microsoft Azure networking, Experience designing complex network topologies (V-WAN, VNET, BGP), Hands-on experience with CI/CD pipelines (Azure DevOps, GitHub Actions, or Jenkins), Proficiency in scripting (Python, PowerShell, or YAML), Experience implementing Policy-as-Code and security benchmarks (NIST/CIS), Strong knowledge of DevSecOps practices and automated security testing, Experience managing and automating firewall configurations, Experience working in Agile/Scrum/SAFe environments 📃 Skills: Azure, Terraform, V-WAN, VNET, BGP, DevSecOps, CI/CD, AzureDevOps, GitHubActions, Jenkins, Python, PowerShell, YAML, NIST, CIS, Firewall, Agile, Scrum, SAFe 🏢 Description: The Mission We are looking for a highly skilled Cloud Engineer to bridge the gap between Network Infrastructure and DevOps. Your role is to transform manual networking and security tasks into scalable, automated Infrastructure-as-Code (IaC) . You will be responsible for the architectural stability, security enforcement, and automated deployment of our global Azure footprint. Core Responsibilities Infrastructure Automation: Architect and maintain robust IaC patterns using Terraform to ensure consistent, repeatable deployments. Cloud Networking: Design and optimize complex network topologies (V-WAN, VNET, BGP) across multi-region environments. Security Integration (DevSecOps): Implement Policy-as-Code (NIST/CIS benchmarks) to automate security gating and remediation. CI/CD Orchestration: Build and refine end-to-end pipelines (Azure DevOps, GitHub Actions) to automate the lifecycle of cloud resources. Network Security: Manage and automate firewall workflows, ensuring security protocols are integrated directly into the deployment process. Innovation & Troubleshooting: Resolve complex infrastructure bottlenecks and evaluate emerging tools to keep our stack at the cutting edge. Technical Profile Azure Expert: Deep practical knowledge of Microsoft Azure and its networking ecosystem. IaC Champion: Expert-level Terraform skills are non-negotiable. Automation Mindset: Proficient in scripting (Python, PowerShell, or YAML) to drive self-service infrastructure. DevOps Guru: Proven track record of managing environments via CI/CD (ADO, Jenkins, or GitHub). Methodology: Comfortable working in Agile/Scrum/SAFe environments, understanding both the "how" (code) and the "why" (business delivery). Security-First: Solid grasp of DevSecOps, including automated testing frameworks and operational stability controls.

🏢 Summary: 6-month DevOps Engineer Internship supporting CI/CD, cloud environments, and infrastructure automation for an international client. The role focuses on maintaining deployment pipelines, monitoring systems, and assisting with cloud-based infrastructure tasks. Ideal for students seeking hands-on experience in modern DevOps and cloud practices. 🗂️ Requirements: Enrolled in Bachelor or Master degree in Computer Science, Software Engineering, IT, or related field, English proficiency minimum B2, Basic knowledge of Linux or operating systems, Basic understanding of networking fundamentals, Basic understanding of CI/CD concepts, Familiarity with Git and version control systems 📃 Skills: Linux, Networking, HTTP, DNS, Git, CI/CD, Azure, AWS, GCP, Docker, Bash, PowerShell, Python, Agile, Scrum 🏢 Description: About Webellian Webellian is a well-established Digital Transformation and IT consulting company committed to creating a positive impact for our clients. We strive to make a meaningful difference in diverse sectors such as insurance, banking, healthcare, retail, and manufacturing. Our passion for cutting-edge and disruptive technologies, as well as our shared values and strong principles, are what motivate us. We are a community of engineers and senior advisors who work with our clients across industries, playing a deep and meaningful role in accelerating and realizing their vision and strategy. About the position We are seeking a DevOps Engineer Intern to join our team for a project with a key international client. The intern will support the DevOps and engineering teams in maintaining, monitoring, and improving development and deployment processes. You will work alongside experienced DevOps engineers and software developers, gaining hands-on experience with cloud platforms, CI/CD pipelines, and infrastructure automation. This role is ideal for someone interested in how software is built, deployed, and operated in modern cloud environments. Requirements Being enrolled in a Bachelor or Master degree in computer science, software engineering, IT, or a related technical field Good English communication skills (B2+), Polish language is a plus Basic understanding of Linux / operating systems Basic knowledge of networking fundamentals (HTTP, DNS, ports, protocols) Basic understanding of CI/CD concepts Familiarity with Git and version control systems Basic knowledge of cloud platforms (Azure, AWS, or GCP) is a plus Basic exposure to Docker or container concepts is a plus Interest in automation, scripting, and infrastructure (Bash, PowerShell, Python – nice to have) Analytical mindset and problem-solving skills Attention to detail and responsibility Independence and strong willingness to learn Any academic, personal, or internship experience related to DevOps, cloud, or system administration is considered an asset Familiarity with Agile/Scrum methodologies is a plus *As an intern, you’re not expected to be an expert. What is really important is your will and ability to expand your skills during the internship and contribute actively to the company. Key responsibilities Support the DevOps team in maintaining CI/CD pipelines Assist in monitoring applications, systems, and cloud environments Help with basic infrastructure configuration and deployment tasks Support automation of repetitive tasks and processes Assist in troubleshooting deployment, build, and runtime issues Help maintain documentation related to infrastructure and processes Collaborate with developers to support development and release workflows Participate in improving system reliability, performance, and security What we offer 6 month internship Opportunity to work with excellent professionals, in a professional and friendly environment High standards of work and focus on the quality of code New technologies in use Continuously learning and growth International team Pinball, PlayStation & much more (on-site) About you: Open-minded and eager to learn Autonomous and not afraid to ask questions Business oriented and looking to bring solutions Capable of detailed and analytical thinking Ready to take responsibilities and have an impact on companies’ projects BE BOLD In your CV, please include the following information: Why would you like to join us? Do you have something to share with us? (portfolio, projects, ideas, …)