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Salary
$39k – $52k per year
Location
In office (Katowice)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Sopra Steria Poland is the Polish subsidiary of the European IT and consulting group Sopra Steria. It delivers information technology services including software development, consulting, and business process support for clients in various economic sectors.

Company Description

Sopra Steria is one of the largest players in the tech industry in Europe, known for its consulting, digital services and software development. We operate in nearly 30 countries in the world, hiring more than 55,000 employees.

The Polish branch, as the Global Delivery Center, operates in Katowice since 2007 and has been growing ever since. Currently, our team consists of around 1,000 specialists.

Within the Digital Platform Services department, our teams specialize in areas such as cloud, operating systems, virtualization, databases, backup or storage, as well as networking and security. We also have 1st line support consultants who speak French and English, but also Italian, Spanish, Portuguese and German.

The Application Services department is responsible for areas such as software development, data engineering, testing services, CRM, ITSM and ERP platform integrations, as well as application management for customers in Scandinavia, Benelux, France, Germany, Switzerland and the UK.

Job Description

We are looking for a DevOps Engineer (AI, GitLab) to join Sopra Steria Polska and one of our innovative international squads. You will be part of an exciting initiative in cutting edge technologies that bring about institutional transformation and impacts, by driving innovation and collaboration across network.

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 on the project:

  • Git, CI/CD pipelines

  • Docker and Kubernetes

  • Terraform

Qualifications

Must have requirements:

  • 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 monitoring and observability in CI/CD, included 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 requirements:

  • Clearance

Additional Information

What we offer:

  • BENEFITS (UoP): Luxmed, Medicover Sport, 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.

In case of questions, please contact the HR team.

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)

Salary range:

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

B2B: 100-140 PLN net/h

All information about salary range and its additional components will be provided during the 1st stage of recruitment process.

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.

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