Senior Software Engineer

Sr Software Engineer

The 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