Level

Sopra Steria

DevOps Engineer (AI, GitLab)

Sopra Steria is hiring a DevOps Engineer (AI, GitLab) . It pays PLN 100-PLN 140/hr and Level rates it ; you can apply on Sopra Steria.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include LangChain, Haystack and MLOps.
  • Level classifies it as a senior role.
  • Level lists 2,000+ other open roles at Sopra Steria.

AI in this role

langchainhaystack
ml-ops

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.

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

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

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.

How we rate this

DevOps Engineer (AI, GitLab) at Sopra Steria rates 13 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsLangChainHaystack

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. Walk me through how you've used LangChain in your day-to-day work.
  3. What are the limits of Haystack that you've run into, and how did you work around them?

Adapt your resume

  • List these exact terms on your resume: ML Ops, LangChain, and Haystack. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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