Responsibilities
- Design and develop reliable backend services, APIs, integrations, automation, and data transformation solutions.
- Work across languages, platforms, and technologies while applying strong software engineering principles.
- Strengthen engineering resilience and contingency across the technology landscape.
- Help identify and build AI-agent and intelligent-automation capabilities from experimentation through practical implementation.
- Work with enterprise data, databases, integrations, transformations, and ETL-style workloads.
- Provide technical and solution-design input for complex business and IT resilience challenges.
- Build and operate software using automated testing, CI/CD, source control, containerisation, observability, and cloud deployment practices.
- Mentor junior engineers and improve standards for design, code quality, testing, and problem solving.
- Share knowledge and contribute reusable engineering patterns, standards, and practices.
Requirements
- 6+ years of professional software engineering experience with strong backend experience in APIs, integrations, and service-based or distributed architectures.
- Professional development experience with Python and Go, plus the ability to learn unfamiliar technologies and stacks.
- Good working knowledge of SQL and relational databases, including data models, queries, transformations, and data integration or ETL-style workloads.
- Experience with Azure, AWS, or GCP and modern engineering practices including automated testing, CI/CD, source control, and production support.
- Strong system and solution design skills, communication skills, and experience mentoring less experienced engineers.
- Curiosity and learning agility around emerging technologies, including an interest in practical AI and intelligent automation.
- Nice-to-have experience with Docker, Kubernetes, data pipelines, integrations, data processing at scale, Datadog, Grafana, Prometheus, Angular, React, Node.js, enterprise technology environments, generative AI, LLMs, AI-enabled applications, AI Agents, tool integration, Model Context Protocol, RAG, embeddings, vector search, and automation implementation.
Benefits
- Hybrid work setup.
- For Spain, the full-time base salary range is EUR 60,000 to EUR 100,000, with potential eligibility for performance-based bonus and additional benefits.
Tech Stack
Categories
About Swiss Re
The Swiss Re Group is a leading wholesale provider of reinsurance, insurance and other insurance-based forms of risk transfer. Dealing direct and working through brokers, its global client base consists of insurance companies, mid-to-large-sized corporations and public sector clients. From standard products to tailor-made coverage across all lines of business, Swiss Re deploys its capital strength, expertise and innovation power to enable the risk taking upon which enterprise and progress in society depend. Founded in Zurich, Switzerland, in 1863, Swiss Re serves clients through a network of over 70 offices globally and is rated "AA-" by Standard & Poor's, "Aa3" by Moody's and "A+" by A.M. Best. Registered shares in the Swiss Re Group holding company, Swiss Re Ltd, are listed in accordance with the Main Standard on the SIX Swiss Exchange and trade under the symbol SREN. We're smarter together. For more information about Swiss Re Group, please visit: www.swissre.com, follow us on X @SwissRe and subscribe our YouTube channel @swissretv.