DevOps Engineer (AI, GitLab)

Sopra Steria USA; Katowice; On-site; PLN 133,920 - 178,560; Full time

Benefits offered by this job

Luxmed

MedicoverSport

Educational platforms

Life insurance

Conferences

Free parking

Fresh fruits

Workation

Job summary

Sopra Steria USA is seeking a DevOps Engineer to join their innovative team in Katowice, Poland. The ideal candidate will have advanced experience with GitLab and CI/CD pipelines, expertise in Docker and Kubernetes, and a solid understanding of AI and Data Science principles.

The position offers a competitive salary and numerous benefits, including health insurance, educational platforms, and opportunities for professional development. A good command of English and EU citizenship are mandatory.

Qualifications

• Advanced experience with GitLab and CI/CD pipelines (5+ years).
• Expertise in Docker and Kubernetes for container orchestration (3+ years).
• Good knowledge of AI frameworks like Haystack and Langchain.
• Proficiency in programming languages such as Python.
• Familiarity with monitoring tools like Prometheus and Grafana.

Responsibilities

• Design and maintain AI infrastructure for development and training.
• Automate deployment pipelines for code and data workflows.
• Monitor systems and model services for performance tracking.
• Implement security and compliance controls for infrastructure.

Skills

GitLab

Docker

Kubernetes

Cloud services (AWS or Azure)

Terraform

Python

Data Science

CI/CD pipelines

Monitoring and observability

Database management (PostgreSQL)

Education

EU citizenship

Fluent English (B2/C1)

Tools

Jira

Confluence

Job description

Job Description

We are looking for a DevOps Engineer (AI, GitLab) to join Sopra Steria Polska and one of our innovative international squads.

Note that we can only offer cooperation to people who are located in Poland and have EU citizenship.

Responsibilities

• Design and maintain AI infrastructure: Set up, configure and manage cloud, on‑premises or hybrid environments needed for AI development, training and inference, including compute, storage, networking and GPU resources.
• Automate deployment pipelines: Build and maintain CI/CD and MLOps pipelines for code, data workflows, model training, testing, validation and deployment.
• Manage containerisation and orchestration: Use tools such as Docker and Kubernetes to package, deploy and scale AI applications and services reliably across environments.
• Support model operationalisation: Enable the transition of machine learning models from development to production, ensuring reproducibility, versioning, traceability and controlled releases.
• Monitor systems and model services: Implement monitoring, logging, alerting and performance tracking for infrastructure, applications and AI model endpoints, including availability, latency, resource usage and failures.
• Ensure reliability, scalability and performance: Optimise infrastructure and deployment processes so AI services can scale efficiently and remain stable under changing workloads.
• Implement security and compliance controls: Apply security best practices for infrastructure, access management, secrets handling, software dependencies, data protection and regulatory compliance.
• Manage environments and configuration: Standardise development, test and production environments using Infrastructure as Code and configuration management tools to ensure consistency and reproducibility.
• Collaborate across teams: Work closely with data scientists, AI engineers, software developers, cybersecurity specialists and business teams to support delivery of AI solutions.
• Support data and model lifecycle governance: Contribute to processes for artefact versioning, auditability, lineage, backup, recovery and lifecycle management of datasets and models.
• Troubleshoot and improve operations: Investigate incidents, deployment issues and performance bottlenecks, and continuously improve automation, resilience and operational efficiency.

Tech Stack

• Git, CI/CD pipelines
• Docker and Kubernetes
• Terraform

Qualifications

• Advanced (+5yr) experience with GitLab and CI/CD pipelines
• Expertise (+3yr) in Docker and Kubernetes for container orchestration
• Good knowledge of Data Science and Machine Learning principles and AI frameworks such as Haystack, Langchain, etc.
• Expertise with cloud services like AWS or Azure.
• Proficiency in using Terraform for IaC.
• Proficiency in programming languages such as Python, along with experience in using development tools like GIT, GitLab, Jira, Confluence, etc.
• Familiarity with monitoring and observability in CI/CD, including structured logging, metrics collection (e.g.: Prometheus, Grafana)
• Familiarity with database management systems (PostgreSQL, etc.) and search engines (Elastic Search, etc.)
• EU citizenship
• Fluent English: B2/C1.
• Being open to occasional business trips abroad and visits in our office in Katowice

Nice to Have

• Clearance

Benefits

• BENEFITS (UoP): Luxmed, MedicoverSport, Worksmile, educational platforms, languages learning platform, referral bonus, copyrights, life insurance, certifications (paid by the company), conferences, Tech Lunches, possibility to join our Communities (Project Management, Architecture, Security, Process Management, Leadership, AI and Cloud), local kindergarten.
• DEVELOPMENT OPPORTUNITIES (B2B): Tech Lunches, Worksmile, possibility to join our Communities (Project Management, Architecture, Security, Process Management, Leadership, AI and Cloud).
• ADDITION: free parking, fresh fruits, workation.

Salary

UOP: 12 000-16 000 PLN gross/month.

B2B: 100-140 PLN net/h

Recruitment Process

The recruitment process for this position consists of two stages:

• a short phone call with a recruiter (30 min max)
• one‑hour long interview on Teams (with both general and technical questions)

EEO Statement

At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences.