Senior Software Engineer

State of Wisconsin Investment Board • Madison, WI

1d • Hybrid

About The Position

Sophisticated Work. In a Great City. Making a Difference. The State of Wisconsin Investment Board (SWIB) manages more than $178 billion in assets, including those of the fully-funded Wisconsin Retirement System (WRS). SWIB operates at a level more often seen in top-tier global asset managers than in typical public pension funds. SWIB is a home for top talent. Approximately 61 percent of SWIB’s investment professionals are Chartered Financial Analyst (CFA) charterholders. The City of Madison, the state capitol and home of Wisconsin’s flagship university, makes regular appearances on lists of best places to live, eat, and play. SWIB offers a modern workspace, hybrid work options, and competitive compensation and benefits. Serving over 703,000 WRS beneficiaries, SWIB is driven by a clear mission: securing the financial future of those who serve Wisconsin. When you work at SWIB, you know your work matters. Job Description: Job Description Applicants on an OPT, CPT visa or anyone requiring H-1B transfers or sponsorship into the H-1B lottery will not be considered for this position.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a 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 NoSQL), including data modeling 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 in finance and in 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

Responsibilities

• 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

Benefits

• Competitive total cash compensation, based on AON (formerly McLagan) industry benchmarks
• Comprehensive benefits package
• Educational and training opportunities
• Tuition reimbursement
• Challenging work in a professional environment
• Hybrid work environment

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level