DevOps Engineer (Senior)

🏢 Summary: The role focuses on designing, developing, and maintaining cloud-based backend systems in an AWS Serverless environment using Infrastructure as Code (Terraform). It involves building and deploying scalable functionalities, managing CI/CD pipelines, and ensuring production reliability across multiple European markets. The position requires strong cloud engineering expertise and backend programming experience. 🗂️ Requirements: 5+ years production experience in AWS and Infrastructure as Code, Strong hands-on experience with Terraform, Proficiency in at least one language: Python, TypeScript, C#, Java, or Golang, Experience building and maintaining CI/CD pipelines, Experience with monitoring tools (Datadog, Grafana, Prometheus), Strong knowledge of software engineering principles, testing, data structures, algorithms, Experience with PostgreSQL or DynamoDB, Experience designing and implementing REST APIs, Understanding of OO design patterns, SOLID, Clean Code, Degree in Computer Science or related field, Experience working in Agile (SCRUM or Kanban), Proficiency in English 📃 Skills: AWS, Terraform, CircleCI, Python, TypeScript, C#, Java, Golang, Datadog, Grafana, Prometheus, PostgreSQL, DynamoDB, REST, Docker, Kubernetes 🏢 Description: About the role You will need to be an expert in AWS and Infrastructure as a Code (IaC) with a thorough understanding of the applications’ architecture involved. Strong infrastructure and backend programming skills will help you to demonstrate your ability to apply these technologies, as well as deploy and maintain them will be crucial to success. Technologies we work with: AWS, Terraform, CircleCI, Python, TypeScript, C#, Java Responsibilities: Designing, writing, testing and deploying functionalities developed via IaC (Terraform) in AWS Serverless environment Implementing the backend code (TypeScript / Python / C# / Java) Maintaining system on production used by consumers from several European countries Debugging issues Scoping and assessing the complexity of features Participating in sprint planning, daily sprints and meetings with product owners for grooming new features Recruiting and mentoring team members Collaborating with other team members and teams that depend on the functionalities that you develop Required qualifications: 5+ years of production experience in cloud engineering (AWS, IaC). Strong hands-on experience in technologies such as Terraform and programming languages, e.g. Python, TypeScript, C#, Java, Golang (one of these). Proficiency in building CICD pipelines Expertise with monitoring tools - Datadog / Grafana / Prometheus Strong understanding of software engineering principles, testing, data structures and algorithms Solid knowledge of DBMS like PostgreSQL, DynamoDB Expertise in REST APIs, Understanding of OO design patterns, SOLID principles and Clean Code Bachelor’s or Master’s degree in Computer Science Able to work with Agile methodologies such as SCRUM and/or Kanban Good communication and collaboration skills Self-motivation, proactive attitude Proficiency in English Nice to have: Exposure to fullstack development Experience with containers and container orchestration using Docker and Kubernetes

🏢 Summary: The offer is for a Data Engineer/DevOps professional to build and maintain scalable data platforms and cloud infrastructure, automate data workflows using CI/CD and Infrastructure as Code, and optimize data pipelines for high availability and security. The role focuses on managing data processing environments and supporting model deployment in collaboration with data teams. 🗂️ Requirements: Proficiency in Linux/Unix administration, Strong Shell scripting skills, Advanced knowledge of Python, Advanced knowledge of SQL, 3–5 years experience in Data Engineering or DevOps, Degree in Computer Science, Data Engineering, or related field 📃 Skills: Linux, Unix, Shell, Python, SQL, Azure, Spark, Databricks, Docker, Kubernetes, Terraform, Ansible, Hadoop, Kafka, CICD 🏢 Description: Key Responsibilities Infrastructure Management: Build and maintain scalable data platforms and cloud-based infrastructure. Automation: Implement CI/CD pipelines for data workflows and automate manual processes using Infrastructure as Code (IaC). Pipeline Optimization: Monitor, troubleshoot, and optimize data processing jobs to ensure high availability. Security & Compliance: Ensure data integrity and security across all environments. Collaboration: Work closely with Data Scientists and Engineers to streamline the deployment of data models. Requirements Systems & Scripting: Strong proficiency in Linux/Unix administration and Shell scripting. Programming: Advanced knowledge of Python and SQL . Mindset: Exceptional analytical and problem-solving skills. Education: Degree in Computer Science, Data Engineering, or a related technical field. Experience: 3–5 years of proven experience in Data Engineering or a DevOps-related role. Nice-to-have Cloud & Big Data: Hands-on experience with Azure , Apache Spark , and Databricks . DevOps Tools: Proficiency with Docker , Kubernetes , CI/CD tools, and IaC (e.g., Terraform, Ansible). Data Ecosystems: Familiarity with Big Data technologies such as Hadoop or Kafka .

🏢 Summary: The offer is for a DevOps/Network Engineer role focused on designing and securing scalable network architectures across cloud and hybrid environments. The position involves automating infrastructure with IaC tools, managing cloud networking components, and integrating security into CI/CD pipelines. The role also includes monitoring, incident response, and supporting compliance and infrastructure hardening efforts. 🗂️ Requirements: Minimum 3 years experience in DevOps, Infrastructure, or Network Engineering, Hands-on experience with cloud networking in AWS, Azure, or GCP, Experience with Infrastructure as Code tools, Knowledge of CI/CD pipelines and DevOps practices, Experience with monitoring, logging, and alerting tools, Understanding of IAM and network security best practices, Ability to manage VPCs, VPNs, load balancers, and firewalls 📃 Skills: AWS, Azure, GCP, Terraform, Ansible, CICD, IAM, VPC, VPN, Firewalls, LoadBalancers, Kubernetes, ISO27001, SOC2, Monitoring, Logging 🏢 Description: Tasks Design and implement secure and scalable network architectures across cloud and hybrid environments Automate infrastructure using IaC tools (Terraform, Ansible) Manage and secure VPCs, VPNs, load balancers, and firewalls Ensure network segmentation and access control best practices Support CI/CD pipelines and integrate basic security mechanisms (e.g., secret handling) Monitor traffic, logs, and performance; respond to incidents Collaborate with security teams on infrastructure hardening Support compliance requirements (e.g., ISO 27001, SOC 2) Requirements At least 3 years of experience in DevOps, Infrastructure, or Network Engineering Hands-on experience with cloud networking (AWS / Azure / GCP) Experience with Infrastructure as Code and automation tools Knowledge of CI/CD pipelines and DevOps practices Ability to work with monitoring, logging, and alerting tools Basic understanding of security best practices (IAM, network security) Very good command of English (B2+/C1), both written and spoken Nice to have Experience with Kubernetes networking Exposure to security tools or vulnerability scanning Cloud or networking certifications (e.g., AWS, CCNA)

🏢 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: The offer is for a senior DevOps/Cloud Engineer to lead and support enterprise cloud migration initiatives in Azure, focusing on CI/CD automation, infrastructure as code, and secure, scalable cloud environments. The role involves managing Azure-based platforms, optimizing performance and security, and collaborating with cross-functional teams to modernize and support business-critical systems. It also includes working with hybrid cloud environments and leveraging AI-powered tools to enhance software delivery processes. 🗂️ Requirements: 5+ years in DevOps, Cloud Engineering, or Platform Engineering, Strong hands-on experience with Microsoft Azure in production environments, Experience building and maintaining Azure DevOps CI/CD pipelines (YAML), Hands-on experience with Azure App Services, WebJobs, and Azure Functions, Knowledge of Azure API Management, Application Gateway, and WAF, Experience with Terraform and Infrastructure as Code practices, Understanding of .NET application hosting environments (.NET 4.8–.NET 8+), Experience with hybrid or multi-cloud environments (Azure and AWS), Experience with secrets management and identity solutions, Experience in enterprise migration or modernization programs, English proficiency minimum B2, Work permit and residence in the European Union 📃 Skills: Azure, AzureDevOps, CI/CD, YAML, Terraform, .NET, APIM, WAF, AppServices, WebJobs, AzureFunctions, ApplicationGateway, KeyVault, ManagedIdentity, AWS, IaC 🏢 Description: 🟣 You will be: supporting and driving cloud migration initiatives across business-critical systems, designing, building, and maintaining CI/CD pipelines in Azure DevOps, managing and optimizing Azure-based infrastructure and application environments, automating infrastructure provisioning and configuration using Infrastructure as Code practices, collaborating with development and architecture teams to ensure reliable and scalable deployments, improving platform security, performance, and operational efficiency, supporting application services and cloud-native solutions throughout the software delivery lifecycle. 🟣 Your profile: 5+ years of experience in DevOps, Cloud Engineering, or Platform Engineering roles, strong hands-on experience with Microsoft Azure, including production-grade environments, proven experience building and maintaining Azure DevOps CI/CD pipelines (YAML-based), hands-on experience with Azure App Services, WebJobs, and Azure Functions, strong knowledge of Azure API Management (APIM), Application Gateway, and WAF, experience with Terraform (azurerm provider) and Infrastructure as Code practices, understanding of .NET-based application hosting environments (.NET 4.8–.NET 8+), experience working with hybrid or multi-cloud environments (Azure + AWS), familiarity with secrets management and identity solutions (Key Vault, Managed Identity), experience working in enterprise migration or modernisation programmes, strong analytical, troubleshooting, and problem-solving skills, good communication skills and ability to work in cross-functional teams, good command of English (min. B2), practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. 🟣 Nice to have: experience with AWS migration programmes (e.g. MAP or similar initiatives), familiarity with React, Node.js, or EventStoreDB in hybrid architectures, exposure to FinOps practices and cloud cost optimisation initiatives, experience integrating AI tools into engineering workflows (CI/CD, IaC, automation), experience with enterprise-scale policy governance (Azure Policy, guardrails), experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Work from the European Union region and a work permit are required 🟣 Recruitment Process: CV review – HR Interview – Technical Interview - Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budgets of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, access to Udemy, O'Reilly (formerly Safari Books Online) and more, events and technology conferences, technology Guilds, internal training, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: B2B or employment contract, contract for an indefinite period.

🏢 Summary: 6-month contract role (with possible extension) focused on modernizing applications and migrating workloads to AWS within a large-scale cloud transformation program. The position involves building scalable, production-ready cloud solutions using TypeScript and AWS CDK, designing secure multi-tier architectures, and implementing automation and CI/CD pipelines. This is a hands-on engineering role centered on AWS-native and serverless technologies. 🗂️ Requirements: Experience migrating workloads to AWS, Hands-on experience with AWS CDK and CloudFormation, Strong programming skills in TypeScript and Node.js, Experience designing multi-tier and highly available architectures, Experience with serverless and microservices architectures, Experience with CI/CD pipeline implementation, Knowledge of cloud security, monitoring, and performance optimization, Experience with relational and NoSQL databases 📃 Skills: AWS, ECS, Fargate, Lambda, StepFunctions, S3, RDS, MSK, TypeScript, Node.js, Python, Bash, CDK, CloudFormation, DynamoDB, MongoDB, Aurora, Postgres, GitLab, CodePipeline, Microservices, Serverless 🏢 Description: Contract: 6 months (option to extend) | On-site: 3-4 days/week | Start: Immediate Join a global engineering team driving cloud transformation for a leading investment bank project! This is a hands-on role where you’ll help modernize applications, migrate workloads to AWS, and build scalable, production-ready cloud patterns using TypeScript and AWS CDK. What you’ll do: Migrate workloads to AWS and implement cloud-native solutions Build reusable frameworks, utilities, and automation to accelerate cloud adoption Design and deploy multi-tier, highly available, and secure applications Collaborate with global teams on feature design and problem-solving Ensure compliance, monitoring, and performance optimization across cloud environments Key Skills & Technologies: AWS Services: ECS Fargate, Lambda, Step Functions, S3, RDS, MSK Programming: TypeScript, Node.js, Python, Bash Infrastructure as Code: AWS CDK, CloudFormation Databases: DynamoDB, MongoDB, Aurora Postgres CI/CD tools: GitLab CI/CD, AWS CodePipeline Cloud architecture, microservices, serverless computing You are: Passionate about cloud and developer experience Experienced in architecting and deploying production-ready systems Collaborative, proactive, and comfortable in fast-paced environments Ready to take your cloud expertise to the next level? Join us and help shape the future of cloud at a global scale, your next challenge starts here!

🏢 Summary: Platform Engineer role focused on building a cloud-agnostic infrastructure and CI/CD platform across Azure and on-prem environments. The position centers on migrating from Azure DevOps to GitLab CI/CD, standardizing Infrastructure-as-Code with OpenTofu, and automating hybrid infrastructure at enterprise scale. You will design, deploy, and operate reusable IaC modules and self-hosted GitLab infrastructure. 🗂️ Requirements: 6–8+ years in Platform Engineering or DevOps, Strong hands-on experience with OpenTofu or Terraform, Deep experience designing and operating GitLab CI/CD pipelines, Proven experience migrating from Azure DevOps to GitLab, Strong Linux administration skills, Solid understanding of networking fundamentals, Solid understanding of security fundamentals, Strong knowledge of Kubernetes fundamentals, Experience managing Infrastructure-as-Code at enterprise scale, Experience automating provisioning in hybrid cloud environments 📃 Skills: OpenTofu, Terraform, GitLab, AzureDevOps, Azure, Kubernetes, Linux, PowerShell, Ansible, DotNet, Networking, Security, CICD, IaC, Firewalls, LoadBalancers 🏢 Description: Tech stack: OpenTofu / Terraform GitLab CI/CD (self‑hosted) Azure, on‑prem infrastructure Azure DevOps (migration source) Linux Kubernetes PowerShell Requirements: 6–8+ years of experience in Platform Engineering or DevOps roles Strong hands‑on experience with OpenTofu / Terraform Deep experience designing and operating GitLab CI/CD pipelines Experience migrating Azure DevOps to GitLab Strong Linux background Solid understanding of networking, security, and Kubernetes fundamentals Experience managing IaC at enterprise scale Automation‑first mindset and operational approach Nice to have: .NET application modernization and containerization experience Ansible for configuration management and golden images Load balancer and firewall automation experience Experienced in using AI tools in day-to-day workflow Project description: You will be part of the core engineering team responsible for building a cloud‑agnostic infrastructure and CI/CD platform. The project focuses on standardizing Infrastructure‑as‑Code, migrating from Azure DevOps to GitLab, and enabling consistent deployments across Azure and on‑prem environments. Main responsibilities: Migrate Azure DevOps pipelines to GitLab CI/CD Rewrite existing IaC templates to OpenTofu Build reusable IaC modules Deploy and operate self‑hosted GitLab infrastructure Automate provisioning across hybrid environments Collaborate with Kubernetes and architecture teams

🏢 Summary: DevOps/Cloud Engineer role focused on managing and optimizing AWS infrastructure, implementing CI/CD pipelines, and maintaining production systems. The position emphasizes Infrastructure as Code, container orchestration, observability, and CDN configuration. You will automate, monitor, and scale cloud environments ensuring reliability, security, and performance. 🗂️ Requirements: Strong Linux/Unix administration, Understanding of Internet and web application architecture, Experience with observability (metrics, logs, tracing), Hands-on AWS infrastructure management, CI/CD pipeline implementation, Containerization and orchestration experience, Infrastructure as Code using Terraform/Terragrunt, Monitoring tools experience, CDN setup and management, Solid networking protocols knowledge, Scripting and automation skills (Bash, Python, JavaScript, TypeScript), Configuration management with Ansible, Production environment support experience 📃 Skills: Linux, Unix, AWS, Ansible, Kubernetes, Docker, Helm, Terraform, Terragrunt, Grafana, Kibana, DataDog, CloudWatch, CloudFront, Akamai, Bash, Python, JavaScript, TypeScript, GitHub, GitLab, Jenkins, Networking, CDN, Observability, CICD 🏢 Description: .Requirements You are good at Roaming around Linux/Unix systems and pinpointing problem root causes Understanding how the Internet and Web applications work under the hood Metrics, logs, distributed tracing and everything around observability Configuration management frameworks such as Ansible Maintaining applications in a production environment Being self-driven and working with little supervision towards a common team or company purpose Feeling humble and motivated by being able to learn/teach others Comfortable with DevOps methodologies and best practices You rock at Good Experience managing AWS Cloud Infrastructure. Provisioning resources, configuring networks, ensuring security, optimizing costs, implementing disaster recovery, and automating infrastructure management. Experience setting up CI/CD and AWS networking and accounts using Github, Github actions, Gitlab and/or Jenkins ). Experience with Containers and orchestration frameworks such as Kubernetes and Docker, preferably using Helm Charts. Experience with Infrastructure as Code (IaC) and it's tools, such as (i.e. preferably with Terraform,Terragrunt) Experienced with monitoring (i.e. preferably with Grafana, Kibana, DataDog. Cloud Watch also an option. Experienced Creating and Developing CDN using CloudFront and or AKAMAI. Solid knowldge of Networking protocols. Experienced with language for automation task and scripting such as Bash, Python, Javascript and Typescript. Very comfortable with English.

🏢 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: The offer is for a DevOps/Cloud Engineer responsible for designing, deploying, and maintaining scalable and secure AWS infrastructure while automating CI/CD pipelines and system configuration. The role focuses on infrastructure automation, performance monitoring, and ensuring reliable software delivery in collaboration with development and QA teams. 🗂️ Requirements: Hands-on experience with AWS services (EC2, S3, RDS, IAM, VPC), Proficiency in Python scripting for automation, Experience with Jenkins for CI/CD pipelines, Experience with Git for version control, Practical experience with Ansible for configuration management, Strong troubleshooting skills in Linux/Unix environments, Understanding of network protocols 📃 Skills: AWS, EC2, S3, RDS, IAM, VPC, Python, Jenkins, Git, Ansible, Linux, Unix, TCP/IP 🏢 Description: Key Responsibilities Infrastructure Management: Design, deploy, and maintain scalable, secure, and highly available cloud infrastructure across a broad range of AWS services. CI/CD Automation: Build, optimize, and maintain automated CI/CD pipelines using Jenkins and Git to ensure smooth and reliable software delivery. Configuration & Automation: Automate system configuration, provisioning, and repetitive tasks using Ansible and Python scripting. Monitoring & Troubleshooting: Monitor system performance, detect bottlenecks, and proactively resolve infrastructure and deployment issues. Collaboration: Partner with development and QA teams to streamline release processes and foster a strong DevOps culture. Requirements AWS Expertise: Broad, hands-on experience working across a wide variety of AWS services (e.g., EC2, S3, RDS, IAM, VPC). Strong Scripting: Proficiency in Python for automation, scripting, and tooling. CI/CD & Version Control: Solid experience with CI/CD tools (specifically Jenkins) and version control systems (Git). Configuration Management: Practical experience with Ansible for infrastructure automation and configuration. Problem-Solving Skills: Strong troubleshooting skills in Linux/Unix environments and a solid understanding of network protocols.