Senior Software Engineer

The State of Wisconsin Investment Board (SWIB) manages more than $178 billion in assets, including those of the Wisconsin Retirement System (WRS). It is driven by a clear mission: securing the financial future of those who serve Wisconsin.

• Design, build, and maintain production‑grade APIs and system integrations that support critical workflows.
• Own the end‑to‑end lifecycle of services and applications, from design and implementation through deployment, monitoring, and iteration.
• Build automated, cloud‑native workflows, including thoughtful use of AI capabilities where they provide clear business value.
• Contribute to user‑facing interfaces that make complex workflows understandable and efficient for end users.
• Design and manage data models and persistence layers, including schema design, performance tuning, and troubleshooting.
• Deploy and operate applications in cloud environments using best practices for security, reliability, observability, and cost awareness.
• Apply AI pragmatically – both as a development accelerator and, where appropriate, as part of production systems (e.g., LLMs, vector search, NLP APIs).
• Participate actively in code reviews, design discussions, and technical decision‑making, raising the quality bar for the team.
• Mentor and support less‑experienced engineers through pairing, reviews, and knowledge sharing.
• Collaborate closely with technical and non‑technical partners to translate business needs into clear, maintainable technical solutions.
• Contribute to the evolution of engineering standards, patterns, and tooling within the team and broader organization.

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• 5+ years of professional software development experience (or equivalent demonstrated impact).
• Strong proficiency in Python, with experience building and maintaining production‑grade systems.
• Solid experience working with databases (SQL and/or No
  
  SQL), including data modelling and performance considerations.
• Hands‑on experience with cloud platforms such as Azure, AWS, or GCP.
• Proven experience designing, building, and delivering end‑to‑end software systems in real‑world production environments.
• Familiarity with finance and financial systems (e.g., financial data, instruments, reporting, or workflows) and interest in applying technology in this domain.
• Experience with or strong interest in AI technologies, such as LLMs, vector databases, or NLP APIs.
• Sound technical judgment and the ability to balance delivery speed, quality, and long‑term maintainability.
• Strong communication skills and a collaborative, team‑oriented mindset.

• Ownership of meaningful, high‑impact systems used across the organization.
• Opportunities to influence architecture, technical standards, and engineering practices.
• Hands‑on work with modern cloud and AI technologies in real‑world production use cases.
• Close partnership with stakeholders across engineering, data, and business teams.

• Competitive total cash compensation, based on industry benchmarks.
• Comprehensive benefits package.
• Educational and training opportunities, including tuition reimbursement.
• Challenging work in a professional environment.
• Hybrid work environment.

The position requires U.S. work authorization.