Senior Golang Engineer
Our client is a European insurtech company providing digital insurance solutions and embedded protection products, enabling seamless integration of insurance offerings into e-commerce and financial platforms across multiple markets.
Responsibilities
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Design and build high-performance services: Design, develop, and maintain scalable APIs (gRPC and REST) powering core insurance services, taking ownership of complex services and their evolution.
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Own delivery at system level: Lead microservices and larger system components end-to-end — from requirements and architecture through implementation, deployment, and operational ownership in production.
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Contribute to technical direction: Provide input on technology choices, design patterns, and service boundaries; participate in architecture discussions led by Tech Leads and Architects.
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Mentor and elevate the team: Coach mid-level and junior engineers through design reviews, pairing, and constructive code reviews; raise the engineering bar across the team.
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Champion engineering excellence: Establish and enforce best practices in automated testing, observability (tracing, logging, metrics), CI/CD, and operational readiness.
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Lead in production: Act as a senior escalation point for complex incidents; drive root-cause analysis, reliability improvements, and cost/performance optimization.
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Ensure compliance and security: Embed security policies, coding standards, and regulatory requirements of the financial and insurance sector into design decisions from the start.
Must Have
- 8+ years of backend development experience, with 5+ years working with Golang in production
- Proven track record designing and evolving gRPC and REST-based APIs at scale, including ownership of complex service-level design decisions
- Expert-level understanding of distributed systems, microservices architectures, event-driven design, and cloud-native patterns
- Hands-on experience with containerization (Docker), orchestration (Kubernetes), and modern DevOps workflows, including production troubleshooting at scale
- Strong experience with PostgreSQL (data modeling, performance tuning) and message queues (e.g., Kafka, RabbitMQ)
- Demonstrated experience mentoring engineers and driving adoption of engineering best practices across a team
- Strong problem-solving skills and a passion for building clean, efficient, and maintainable systems
- Regular use of AI tools to improve productivity, automate or reduce repetitive work, support decision-making, and deliver higher-quality outcomes
- Ability to use AI tools responsibly by structuring effective prompts, critically validating outputs, understanding limitations, and taking ownership of the final result — and to guide others in doing the same
- Excellent English communication skills, including the ability to communicate design decisions to technical and non-technical stakeholders, and to thrive in a fast-paced, agile environment
Nice to Have
- Experience in the insurance, fintech, or broader financial services domain
- Deep familiarity with observability tooling (e.g., Prometheus, Grafana, OpenTelemetry, Jaeger)
- Experience with cloud platforms (e.g., AWS, GCP, Azure), ideally including cost optimization
- Knowledge of infrastructure as code (e.g., Terraform, Helm)
- Experience leading technical initiatives across multiple teams or contributing to platform-level decisions
- German language skills are a plus
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