Senior AWS DevOps
Hello, let’s meet!
Who We Are
While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started.
What We Do
We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more.
We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!
Beyond Projects
What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow.
What sets us apart?
Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself.
You will be:
designing and implementing cloud infrastructure solutions across AWS environments,
leading and supporting workload migrations from Azure to AWS,
building and maintaining infrastructure as code using Terraform,
developing and improving CI/CD pipelines and deployment practices,
managing and optimising containerised and serverless workloads,
driving platform reliability, observability, and operational excellence initiatives,
implementing and promoting cloud security best practices,
contributing to FinOps initiatives focused on cloud cost optimisation,
automating operational processes and reducing manual effort,
collaborating with cross-functional engineering teams to enable efficient software delivery,
exploring and adopting AI-powered engineering practices and automation capabilities.
Your profile:
5+ years of DevOps or Platform Engineering experience within AWS environments,
deep knowledge of AWS services (ECS Fargate, EKS, Lambda, API Gateway, ECR, CloudWatch, Route53, WAF),
senior level Terraform expertise covering modules, state backends, workspaces, imports, and drift detection,
hands-on experience with Harness CI/CD, including pipeline authoring, templates, delegates, input sets, and environments,
strong knowledge of Docker, including multi-architecture image creation and ECR management,
proficiency in Python or Node.js for developing operational Lambda functions and automation scripts,
practical experience with AWS Secrets Manager, SSM Parameter Store, and zero-downtime secret rotation approaches,
ability to read, troubleshoot, and migrate CloudFormation templates to Terraform,
solid Git knowledge, including PR-based workflows, code reviews, and branch strategies,
English proficiency (at least B2 level),
hands-on experience using AI tools such as Claude Code, GitHub Copilot, or Cursor in day-to-day engineering work.
Work from the European Union region and a work permit are required.
Nice to have:
experience with AWS MAP (Migration Acceleration Program),
familiarity with Azure DevOps pipelines and Azure App Services,
experience with Azure Functions (.NET 8), Azure APIM, and Application Gateway,
knowledge of Bicep and ARM templates,
experience with SAM (Serverless Application Model),
familiarity with Velero for Kubernetes backup and restore,
production experience with Harness CCM,
exposure to Backstage or Harness IDP administration and plugin development,
operational knowledge of EventStoreDB,
basic understanding of GCP concepts,
AWS certifications such as Solutions Architect or DevOps Professional,
experience designing MCP servers and implementing agentic workflow automation within CI/CD.
Recruitment Process:
CV review – HR call – Interview – Team / Client Interview – Decision
Who We Are
While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started.
What We Do
We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more.
We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!
Beyond Projects
What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow.
What sets us apart?
Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself.
You will be:
designing and implementing cloud infrastructure solutions across AWS environments,
leading and supporting workload migrations from Azure to AWS,
building and maintaining infrastructure as code using Terraform,
developing and improving CI/CD pipelines and deployment practices,
managing and optimising containerised and serverless workloads,
driving platform reliability, observability, and operational excellence initiatives,
implementing and promoting cloud security best practices,
contributing to FinOps initiatives focused on cloud cost optimisation,
automating operational processes and reducing manual effort,
collaborating with cross-functional engineering teams to enable efficient software delivery,
exploring and adopting AI-powered engineering practices and automation capabilities.
Your profile:
5+ years of DevOps or Platform Engineering experience within AWS environments,
deep knowledge of AWS services (ECS Fargate, EKS, Lambda, API Gateway, ECR, CloudWatch, Route53, WAF),
senior level Terraform expertise covering modules, state backends, workspaces, imports, and drift detection,
hands-on experience with Harness CI/CD, including pipeline authoring, templates, delegates, input sets, and environments,
strong knowledge of Docker, including multi-architecture image creation and ECR management,
proficiency in Python or Node.js for developing operational Lambda functions and automation scripts,
practical experience with AWS Secrets Manager, SSM Parameter Store, and zero-downtime secret rotation approaches,
ability to read, troubleshoot, and migrate CloudFormation templates to Terraform,
solid Git knowledge, including PR-based workflows, code reviews, and branch strategies,
English proficiency (at least B2 level),
hands-on experience using AI tools such as Claude Code, GitHub Copilot, or Cursor in day-to-day engineering work.
Work from the European Union region and a work permit are required.
Nice to have:
experience with AWS MAP (Migration Acceleration Program),
familiarity with Azure DevOps pipelines and Azure App Services,
experience with Azure Functions (.NET 8), Azure APIM, and Application Gateway,
knowledge of Bicep and ARM templates,
experience with SAM (Serverless Application Model),
familiarity with Velero for Kubernetes backup and restore,
production experience with Harness CCM,
exposure to Backstage or Harness IDP administration and plugin development,
operational knowledge of EventStoreDB,
basic understanding of GCP concepts,
AWS certifications such as Solutions Architect or DevOps Professional,
experience designing MCP servers and implementing agentic workflow automation within CI/CD.
Recruitment Process:
CV review – HR call – Interview – Team / Client Interview – Decision