Senior Site Reliability Engineer

Details

Work at the heart of the energy transition by building the reliable, secure, and automated trading infrastructure that helps Eneco achieve its ambition to become climate neutral by 2035. Join a highly technical environment where you collaborate directly with traders, quantitative researchers, machine learning engineers, and platform specialists to operate mission-critical trading systems at scale. Take ownership of cloud-native SRE and DevOps engineering in a fast-moving production environment, with the freedom to shape automation, observability, security, and operational excellence across Eneco’s automated trading platform.

Responsibilities

You will design, operate, and continuously improve the cloud-based infrastructure that supports Eneco’s automated trading platform. The role focuses on reliable integration between execution environments, external market data providers, execution venues, and internal monitoring systems. This is a senior platform reliability role with strong SRE and DevOps responsibilities. You will own the stability, availability, automation, and governance of live trading systems.

Platform & Environment Management

• Design and operate platform environments across development, testing, and production.
• Implement infrastructure as code to create reproducible, auditable, and controlled environments.
• Enforce strong environment isolation between strategy development, testing, and live trading.
• Manage multiple execution environments, including distributed compute platforms and containerized services.

External Integration & Connectivity

• Integrate external market data feeds and execution APIs used by the trading platform.
• Design secure authentication, secrets management, and credential rotation.
• Enable automated deployment and execution of strategies in controlled environments.
• Ensure reliable inbound and outbound data and execution flows between internal and external systems.

Reliability, Observability & Incident Response

• Implement monitoring, logging, alerting, and observability across the trading platform.
• Define and operate SLAs and SLOs for strategy execution, platform availability, and data availability.
• Lead incident response, escalation, and post-incident root cause analysis.
• Support investigation and resolution of production trading disruptions.

Automation, Governance & Security

• Build and maintain CI/CD pipelines for platform and execution environment changes.
• Enforce governance around compute usage, configuration, access, and deployment controls.
• Monitor cost, capacity, and resource utilization across the platform.
• Apply security, auditability, and least-privilege principles throughout the trading platform.

Requirements

Must have

• Strong experience operating cloud-based production systems, preferably on Azure.
• Hands-on experience with cloud networking and environment isolation (e.g., VNets, private connectivity, access controls, segmented environments).
• Experience running distributed compute or data platforms in production (Databricks or equivalent).
• Solid background in site reliability engineering, DevOps, or platform operations.
• Experience operating containerized services in production environments.
• Infrastructure as code experience, preferably with Terraform.
• Strong understanding of monitoring, incident response, automation, security, and operational governance.
• Strong ownership mindset with the ability to operate mission-critical systems reliably.

Nice to have

• Experience in trading, financial systems, energy markets, or other mission-critical production environments.
• Experience integrating external APIs, market data feeds, or execution venues.
• Familiarity with SLAs/SLOs, error budgets, and modern SRE practices.
• Experience with secrets management, credential rotation, private networking, and audit controls.

Where you’ll work

You’ll join a highly technical trading and platform engineering environment focused on building reliable automated trading capabilities for the future energy market. The team works closely with traders, quantitative researchers, machine learning engineers, data engineers, and platform specialists. The environment is fast-moving and business-critical, with a strong focus on reliability, secure execution, operational excellence, and clear ownership.

Benefits

• Gross annual salary between €88,000 and €130,000, including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing.
• FlexBudget: paid out, use to buy extra holiday days, or save for later.
• Personal and professional development support.
• Hybrid working: 40% at the office, 40% from home, and 20% flexibly. With manager approval, you may work abroad (within approved countries) up to 3 weeks/year (max 2 consecutively).

Application & Contact

For more information about the job function contact the recruiter via the provided email. For questions about the application procedure contact Venetia de Wit (+31615850813).