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Salary
≈ $32k – $82k per year (Estimated)
Location
In office (Skopje)
Seniority
Senior
Employment
Full-Time

First seen by Alion on Aug 13, 2026. Avenga scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Avenga is a global IT engineering and technology consultancy specializing in custom software development and enterprise digital transformation. Headquartered in Prague, Czech Republic, the company operates across key service areas including custom software engineering, AI and data solutions, cloud platform engineering, managed IT operations, and experience design (CX/UX).

This is us

At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.

We are seeking an AWS DevOps Engineer to help build, automate, and operate a cloud-based data lake platform. This role will support infrastructure, CI/CD, security, monitoring, and platform tooling for data engineering and analytics teams.

This is you

  • Strong experience with AWS cloud services

  • Strong DevOps skills using and command line tools and interfaces

  • Hands-on experience with building and contributing to Infrastructure as Code, ideally Terraform

  • Proficiency with Python for automation and tooling

  • Strong working knowledge of SQL

  • Experience with CI/CD tools such as GitHub Actions and AWS Code Pipeline

  • Understanding of cloud security, IAM, networking, monitoring, and operational best practices

  • Familiarity with data lake concepts such as object storage, catalogs, schemas, partitions, and access patterns.

This is your role

  • Build and maintain infrastructure for an AWS native data lake

  • Using services such as S3, Glue, Lake Formation, Airflow, Athena, Redshift, Lambda, IAM, and ECS

  • Develop and manage via Infrastructure as Code, mostly in Terraform

  • Create and support CI/CD pipelines for infrastructure and data platform deployments

  • Troubleshoot platform, deployment, permission, and data pipeline issues

  • Automate operational and data governance tasks using Python and scripting

  • Implement security, access control, encryption, monitoring, and governance standards

  • Support downstream teams of data engineers, analysts, and security teams to improve platform reliability, scalability, and cost efficiency.

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