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Salary
$64k – $81k per year
Location
Remote (Poland)
Seniority
Senior · 8+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
DataArt is a global software and IT consultancy that helps 400+ enterprise clients, including many Fortune 500 companies, build, modernize and scale digital products, cloud platforms, data systems and AI solutions.

Position overview

We are looking for a DevOps Engineer with AWS to support and enhance cloud infrastructure, CI/CD platforms, and deployment processes across regional environments. In this role, you will work closely with development, platform, and operations teams to deliver reliable, scalable, and secure solutions while driving automation and continuous improvement initiatives. You will contribute to the design and operation of modern cloud platforms, optimize software delivery pipelines, and help ensure consistent deployment practices across multiple applications and environments.

Working time zone GMT+5:30

Responsibilities

  • Design, build, and maintain robust CI/CD pipelines using GitLab CI and TeamCity.

  • Develop and manage reusable pipeline components, including modules, templates, patterns, and shared jobs, to promote efficiency and consistency.

  • Automate infrastructure provisioning and management using Terraform for AWS environments.

  • Implement and support release strategies, including blue-green deployments, canary releases, and feature flags, as well as Git workflows such as GitFlow and trunk-based development.

  • Utilize Git tools and best practices for version control, branching strategies, and code collaboration.

  • Build and maintain monitoring and visualization solutions for pipeline health, performance, and deployment metrics.

  • Develop automation scripts and tools in Bash, Python, and/or PowerShell to streamline operational tasks and reduce manual effort.

  • Collaborate with development teams to integrate CI/CD best practices and ensure adherence to quality gates.

  • Troubleshoot and resolve pipeline failures, perform root cause analysis, and implement preventive measures.

  • Contribute to the design and maintenance of reporting dashboards for quality, performance, and deployment status.

Requirements

  • 8+ years of hands on experience in a DevOps, CI/CD, or Automation Engineering role

  • Strong practical experience with GitLab CI for pipeline orchestration

  • Strong programming and automation development skills in Python

  • Experience developing automation tools, internal platforms, and process automation solutions using Python

  • Solid understanding of release strategies and Git workflows in collaborative environments

  • Proficiency in Infrastructure as Code using Terraform

  • Hands on experience with Kubernetes

  • Experience with AWS Bedrock

  • Hands on experience with AWS core services including EC2, S3, IAM, VPC, ECS, EKS, and Lambda

  • Strong scripting skills using Python, Bash, or similar technologies

  • Experience with pipeline optimization, reusable components, and modular CI/CD design

  • Experience automating operational processes beyond simple scripting

  • Knowledge of AI driven automation solutions and relevant libraries

  • Strong problem solving and analytical skills

  • Good communication skills and experience working within team oriented environments

Nice to have

  • Experience with monitoring platforms such as Prometheus, Grafana, CloudWatch, or Datadog.

  • Experience with AWS AgentCore.

  • Familiarity with containerization technologies such as Docker and orchestration platforms such as Amazon ECS.

  • Knowledge of configuration management tools such as Ansible, Chef, or Puppet.

  • Previous experience in financial services or other regulated environments.

  • Experience in the finance domain.

What We Offer:

  • Vacation days: Up to 26 business days per year.

  • 10 illness/special days

    off per year (fully paid, no medical papers needed) for all contract types

  • Health and life insurance (Luxmed)

  • MyBenefit platform with Multisport option

  • Internal psychological support service

  • English language classes from the first working day

  • Access to external learning platforms: O'Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training

  • Flexible workplace: work from the office, from home, or choose a hybrid option

  • Tech Skills Mentoring Program

  • Opportunities to develop as a public speaker, mentor, or technical interviewer

  • Fully paid idle (bench) when not involved in a project

  • Certification reimbursement (AWS, GCP, Microsoft, etc.)

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