Senior Software Engineer I - Next-Gen Stop Loss Platform

symetraexternal; United States; Hybrid; USD 106,000 - 177,000; Full time

Benefits offered by this job

Flexible hybrid work arrangement

401(k) with company match up to 6%

Paid time off & holidays

Company matching charitable giving

Job summary

Symetra is hiring a Senior Software Engineer I to develop production‑ready software for the Stop Loss platform. You will work under established architectural direction in a fast‑evolving environment, collaborating with architects and senior engineers to deliver high‑quality solutions.

You will contribute to greenfield features, apply best practices for reliability and scalability, and leverage AI‑assisted tools to improve coding, testing, and refactoring efficiency.

Qualifications

• 6–9 years of cumulative software engineering experience.
• Bachelor's degree or equivalent in a related field.
• Experience building production‑ready applications.
• Ability to collaborate with architects and cross‑functional teams.
• Comfort with AI‑assisted development tools.

Responsibilities

• Develop production‑ready software for the next generation Stop Loss platform.
• Implement solutions aligned with established architectural direction.
• Collaborate with architects, senior engineers, and cross‑functional partners.
• Contribute to greenfield features and platform capabilities.
• Apply engineering best practices for reliable, scalable code.
• Leverage AI tools to improve coding, testing, and refactoring efficiency.

Skills

Software engineering

Architectural direction

AI-assisted development

Collaboration

Continuous learning

Education

Bachelor's degree or equivalent

Job description

Symetra is hiring a Senior Software Engineer I to develop production‑ready software for the Stop Loss platform. You will work under established architectural direction in a fast‑evolving environment, collaborating with architects and senior engineers to deliver high‑quality solutions.

You will contribute to greenfield features, apply best practices for reliability and scalability, and leverage AI‑assisted tools to improve coding, testing, and refactoring efficiency.