Data / DevOps Engineer (m/f)
Quick Summary
At Solvership, we help companies turn complex data challenges into clear business value. Our focus is simple: we make data work. We deliver precise, reliable,
At Solvership, we help companies turn complex data challenges into clear business value. Our focus is simple: we make data work.
We deliver precise, reliable, and high-impact Data & AI solutions that create measurable results. With deep expertise and a practical approach, we’ve become a trusted reference point for organizations looking to turn data into real business advantage.
For us, data isn’t just information – it’s an opportunity. And we make sure it delivers.
We’re growing our Data & AI team – a compact, senior crew made up of a Tech Lead, Data Engineers, a Data Scientist, and a Business Analyst – and looking for a Data Engineer with a strong DevOps mindset who’s just as comfortable designing a data pipeline as they are working with LLM APIs, containers, and cloud infrastructure. If you like owning problems end-to-end and enjoy the mix of data engineering, infrastructure, and applied AI, this role is for you.
3–5+ years of professional experience as a Data Engineer, with hands-on exposure to DevOps/Infrastructure and the AI/LLM ecosystem
Strong data engineering fundamentals – building data pipelines, event-driven streaming, relational database design, data modeling, and query optimization
Experience with a major cloud platform (AWS, GCP, or Azure), plus solid Docker and Kubernetes skills in production settings
A solid Python foundation, with experience building modern, asynchronous REST APIs (FastAPI preferred)
Practical experience with LLM APIs, agentic workflows, MCP servers, and vector databases
A self-reliant mindset – comfortable with loose specifications, prototyping solutions, and owning your deliverables
Good grounding in standard software practices, including Git and automated CI/CD pipelines
Nice to Have
~1 min readExperience with an LLM orchestration framework (e.g., LangChain, LlamaIndex, or similar)
Familiarity with infrastructure-as-code tools (Terraform, Pulumi, or similar)
Experience working in a fast-paced, AI-focused product or engineering team
Relevant cloud certifications (AWS, GCP, or Azure)
Joining weekly meetings with the AI team for planning, brainstorming, and resource allocation
Regular sync-ups with project teams to align on specifications and development status
Close cooperation with the Tech Lead on design, architecture, DevOps practices, and tackling the trickier challenges
Building and optimizing data pipelines, modeling data, and writing efficient SQL queries
Designing and developing modern, asynchronous REST APIs
Working with LLM APIs, building agentic workflows, implementing MCP servers, and working with vector databases
Containerizing and deploying services (Docker, Kubernetes) and maintaining CI/CD pipelines across cloud environments
Documenting technical solutions and writing automated tests
Dive into cutting-edge technology, supported by a personalized development plan that evolves with you, along with a dedicated budget to fuel your continuous learning
Collaborate with some of the brightest minds in the industry, where innovation and expertise drive every project forward
Work on exciting, high-impact projects across a range of industries, from banking to telco, healthcare, retail to tech and beyond
We’re all about your career growth! From a structured mentoring process to a dedicated education budget, you’ll have access to internal courses and a top-notch tech stack to fuel your development
Enjoy the freedom to work your way, with flexible hours and the option to work from home. From day one, you’ll be matched with a mentor dedicated to supporting your growth
Health checks, team activities, PassSport, language courses, paid time off, a referral bonus, and a fair, transparent salary system
Location & Eligibility
Listing Details
- Posted
- October 1, 2026
- First seen
- October 1, 2026
- Last seen
- October 3, 2026
Posting Health
- Days active
- 1
- Repost count
- 0
- Trust Level
- 58%
- Scored at
- October 3, 2026
Signal breakdown
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