Electricity markets are entering a new era. As renewables, storage, and flexible demand scale, price dynamics get sharper, faster, and more volatile. Winning is no longer about reacting well. It is about making high-quality decisions continuously.

marbl is building the algorithmic flexibility trading layer for this market reality. We turn market data into forecasts and optimisation-driven actions that run live, so trading teams can scale short-term decision-making across portfolios without scaling headcount or operational risk.

Our mission is simple: make assets easy to trade well - better decisions, better execution, stronger economics, and faster progress toward a low-carbon power system.

Tasks

About the Role

We are hiring a DevOps Engineer to design and own the delivery infrastructure that keeps our algorithmic systems running reliably at production scale.

As one of the first team members, you are joining us on a journey of building a company which makes its impact on the world by optimizing renewable assets, building forecasting engines for weather systems and energy markets, and helping to make renewable zero-emission energy sources even more competitive.

In the first year, you will be hands-on advancing our IT infrastructure, helping to set the systems up for scaling while staying performant and available, helping to build a team focused on quality, high availability, and reliable integration of our AI systems with energy markets and our partners and as the company grows you will have the choice start focusing on specific areas.

You will be deeply involved with happenings on the energy market, and exchange directly with the co-founders who have been in energy trading for decades to build the best, most efficient and low cost optimization system for renewable assets in Europe.

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What You Will Do**

• As Golang Developer: Support Development of new Backend features, including persistence and API Layer. You are building the backbone and the memory of the optimization engine, making sure that it is scalable and reliable
• As DevOps: You are automating the releases and deployment of new versions to test, staging and production servers. You maintain the gitlab-runners for CI/CD pipelines on gitlab.
• As Operations: You will decide on how to orchestrate services, when to get new instances and how to ensure that our trading systems stay operational and reliable. You maintain and expand on our infrastructure for observability and alerting using tools such as prometheus, grafana, loki.
• You are the bridge, between on one hand the researchers who want to bring the new algorithms to production, and connection to 3rd party systems, to bring the optimization results to the real world. You make sure that inference systems and optimizers run scalably, to enable customers to get fast optimization results with low latency.

Requirements

Required

• 4+ years of hands-on DevOps or platform engineering experience in production environments
• Strong experience designing and operating CI/CD pipelines (GitHub Actions, GitLab CI, or similar)
• Solid containerisation skills - Docker in production, ideally Kubernetes or equivalent orchestration
• Comfort working across cloud and/or on-prem environments
• Strong scripting skills in Golang
• Scripting Experience with Python and Bash

Nice to Have

• Awareness of compute efficiency patterns - resource utilisation, workload scheduling, cost-per-compute trade-offs
• Exposure to energy-intensive or HPC-adjacent infrastructure (AI workloads, data centres, batch compute)
• Experience in trading, energy, or other latency-sensitive production environments
• Security hardening and compliance experience, ISO27001
• Familiar with code generators, relating to gRPC, Rest-API (OpenAPI), sql-c

Benefits

• High-impact work at the intersection of deployment engineering and sustainable infrastructure
• Direct ownership of the systems that keep mission-critical algorithmic trading software running
• Close collaboration with software, ML, and infrastructure teams, and Founder Team with decades of experience in energy trading across different markets.
• A technically ambitious environment where reliability and efficiency are measurable and meaningful
• Flexible remote/hybrid working arrangement
• Not a rigid corporate box, but a flexible startup work environment, which you shape as one of the team members as the company grows
• Competitive compensation, adjusted to experience and qualifications