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Junior DevOps Engineer (Services Engineering)

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As a Junior DevOps Engineer in Services Engineering, you will build and maintain CI/CD pipelines, containerize and deploy services using Docker, Kubernetes, and Helm, and provision cloud infrastructure with Terraform on AWS or Azure. You will collaborate with machine learning and AI engineers to define deployment requirements, improve observability, and troubleshoot issues. This role requires 1-4 years of relevant experience, hands-on Linux, Git, CI/CD, and scripting skills, and a structured approach to problem-solving.

Key Highlights
Work at the intersection of AI engineering, customer delivery, and production systems
Build and maintain CI/CD pipelines using GitLab CI or GitHub Actions
Containerize and deploy services with Docker, Kubernetes, Helm, and GitOps workflows
Provision cloud infrastructure using Terraform and AWS or Azure
Collaborate with ML and AI engineers to define deployment and operational requirements
Improve observability through metrics, logs, dashboards, and alerts
Troubleshoot infrastructure, deployment, and integration issues
Automate repetitive work using Bash, Python, or similar languages
Key Responsibilities
Build, maintain and improve CI/CD pipelines for AI and software projects using tools such as GitLab CI or GitHub Actions.
Containerize and deploy services using Docker, Kubernetes, Helm and GitOps-based workflows such as Argo CD.
Provision and evolve cloud infrastructure through infrastructure as code, primarily with Terraform and AWS or Azure services.
Work with project engineers from the start of an initiative to define practical deployment, environment and operational requirements.
Improve observability through useful metrics, logs, dashboards and alerts, and help teams understand the operational health of their services.
Troubleshoot infrastructure, deployment and integration issues, identify root causes and document durable fixes.
Apply appropriate practices for secrets, access control, configuration, networking and environment isolation in Multiverse-managed and customer environments.
Automate repetitive work through Bash, Python or another suitable language and contribute to application or tooling code when it improves delivery.
Communicate priorities, progress and risks clearly while supporting several projects with different timelines and needs.
Technical Skills Required
CI/CD Docker Kubernetes
Benefits & Perks
Indefinite contract
Equal pay guaranteed
Variable performance bonus
Signing bonus
Work visa sponsorship (if applicable)
Relocation package (if applicable)
Private health insurance
Flexible remuneration: hospitality and public transportation
Eligibility for educational budget according to internal policy
Hybrid opportunity
Flexible working hours
Language classes and discounted lunch options
Career plan
Opportunity to learn and teach
Nice to Have
Master's degree in Computer Engineering, Computer Science or a related technical field
Experience with GitLab CI, GitHub Actions, Argo CD, Helm, Terraform or Crossplane
Experience with observability tools such as Prometheus, Grafana or OpenTelemetry
Experience deploying APIs, microservices or data-intensive applications in production environments
Exposure to infrastructure for machine learning, model inference, retrieval systems or agentic AI applications
Experience working across cloud, hybrid or customer-managed environments, or software engineering experience in Python
Experience in a project-based, consulting or customer delivery environment

Job Description

Multiverse is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world.With 180+ employees and growing, our team is fully multicultural and international. We deliver hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence.Our flagship products, CompactifAI and Singularity, address critical needs across various industries:
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