Senior Software Development Engineer — Job Description

Summary

Design, implement, and deliver high-impact software systems; lead architecture, mentor engineers, and drive technical strategy to build scalable, maintainable products.

Key responsibilities

• Lead design and implementation of complex features and services across the stack.
• Define system architecture, data models, APIs, and design patterns; evaluate trade-offs for scalability, reliability, and performance.
• Write production-quality code, own code reviews, and enforce best practices (testing, CI/CD, observability).
• Mentor and coach mid/junior engineers; provide technical leadership in sprint planning and design reviews.
• Drive technical roadmap, refactors, and debt reduction; propose and execute improvements to architecture and tooling.
• Collaborate with product, design, QA, SRE, and security teams to deliver end-to-end solutions.
• Troubleshoot production incidents, perform root-cause analysis, and implement long-term fixes.
• Ensure security, compliance, and data protection in designs and implementations.
• Contribute to hiring, onboarding, technical documentation, and cross-team initiatives.

Qualifications

• 5–10+ years software engineering experience (varies by company) with proven delivery of production systems.
• BS/MS in Computer Science, Engineering, or equivalent practical experience.
• Strong proficiency in one or more languages (e.g., Java, C#, Go, Python, TypeScript) and modern frameworks.
• Deep experience with distributed systems, APIs, databases (SQL/NoSQL), caching, and scalable architecture.
• Testing and automation skills: unit, integration, end-to-end tests; CI/CD pipelines and deployment experience.
• Practical knowledge of cloud platforms (AWS/GCP/Azure), containerization (Docker, Kubernetes), and observability tools.
• Excellent debugging, performance tuning, and system-design skills.
• Strong communication, mentoring, and cross-functional collaboration abilities.
• Bonus: experience with microservices, event-driven architectures, security practices, and ML system integration.

Performance metrics

• Delivery velocity and feature cycle time
• System reliability (uptime, error rates, MTTR)
• Code quality (test coverage, review feedback)
• Architectural improvements and technical debt reduction
• Impact on product KPIs and mentoring outcomes

Pay: $10,473.95 – $13,335.93 per month

Benefits:

• Employee stock purchase plan
• Life insurance
• Paid volunteer leave
• Vision insurance

Work Location: In person