Job SummaryThe Senior Software Engineer is responsible for designing, developing, and maintaining scalable, secure, and high-performing software systems. This role works cross-functionally with Product, Architecture, and Engineering teams to deliver business value through high-quality, reliable software.
This is a hands-on role focused on building production-ready solutions, while contributing to technical direction, mentoring engineers, and leveraging modern tools-including AI and spec-driven development-to improve engineering productivity and outcomes.
Key Responsibilities:Software Development & Design- Design, develop, test, and deploy software across the full technology stack
- Translate business and functional requirements into clear, well-defined technical specifications
- Ensure systems are scalable, resilient, maintainable, and secure
- Apply modern engineering standards and best practices
Delivery & Execution- Break down specs and features into clear, actionable, and estimable tasks
- Deliver incremental value using Agile methodologies
- Own end-to-end delivery of features or services
- Align development with architectural standards and system design
Quality & Reliability- Write and maintain automated unit, integration, and end-to-end tests
- Ensure code quality, performance, and adherence to specifications
- Troubleshoot and resolve production issues
- Identify risks, dependencies, and deviations early
AI-Transformed Engineering- Leverage AI-assisted tools (e.g., Copilot, LLM-based tools) to improve productivity and code quality
- Use AI for code generation, test creation, debugging, and documentation
- Validate and refine AI-generated outputs for correctness, security, and maintainability
- Contribute to team practices around AI usage and prompt engineering
Spec-Driven Development- Drive spec-driven development, where features are defined through clear, structured specifications before implementation
- Create and refine technical specs (APIs, contracts, workflows, data models) that serve as the source of truth for development
- Use specifications to enable alignment across engineering, product, and QA
- Leverage specs to support automation, testing, and AI-assisted development workflows
- Ensure implementations are traceable back to specifications and meet defined acceptance criteria
Collaboration- Partner with Product, QA, and Architecture teams to deliver solutions
- Participate in design discussions and technical decision-making
- Communicate progress, trade-offs, and blockers clearly
Technical Leadership & Growth- Contribute to coding standards and engineering best practices
- Mentor junior engineers through code reviews and guidance
- Continuously learn and adopt new technologies, including AI-driven techniques
Spec-Driven + AI Requirements- Experience working in spec-driven or contract-first development environments
- Ability to define clear technical specifications (e.g., API contracts, schemas, workflows)
- Experience using AI-assisted development tools effectively
- Ability to validate, refine, and safely adopt AI-generated outputs
- Understanding of responsible AI usage in software development
Required Qualifications- Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
- Bachelor's degree Computer Science or a related discipline and 4+ years of experience in a related field, OR master's degree and 2+ years of experience, OR Ph.D. and up to 1 year of experience, OR 18+ years of directly relevant experience.
- Strong proficiency in at least one programming language (e.g., Java, Python, .NET)
- Experience with cloud platforms (e.g., AWS) and distributed systems
- Solid understanding of system design, APIs, and data models
- Experience with automated testing and CI/CD practices
- In Office 2 days a week required.
Preferred Qualifications- Experience building large-scale or mission-critical systems
- Familiarity with microservices and event-driven architectures
- Experience integrating AI capabilities into applications (e.g., LLM APIs, search, recommendations)
- Experience improving engineering workflows through automation or AI
- Strong debugging and performance tuning skills
USD 101,500.00 - 169,100.00 per year
Compensation:Compensation includes a base salary in the range of $101,500.00 - $169,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets
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