The Senior Software Engineer is a full-lifecycle contributor responsible for designing, building, and operating high-quality software across customer-facing and internal products. Go is the primary language for this role, with Python used across scripting, automation, and data-adjacent work. The ideal candidate brings breadth across the stack - from backend services and system design to APIs, data, and front-end integration.
You will take ownership of complex engineering problems end-to-end - from requirements through design, implementation, testing, and production operation. We practice Spec Driven Development and embrace AI-augmented engineering workflows as standard practice. The ideal candidate writes clean, maintainable Go, makes sound architectural decisions, and raises the technical bar for the engineers around them.
Job Responsibilities- Design and develop high-quality software in Go, applying engineering fundamentals and setting patterns the team can build on
- Drive features through a Spec Driven Development process - author and iterate on detailed specs before writing code, using AI tooling to validate, accelerate, and pressure-test the approach
- Contribute to system and software architecture decisions, balancing reliability, scalability, maintainability, and delivery speed
- Design and implement APIs, integrations, and inter-service communication patterns appropriate to the problem at hand
- Work across the data layer - design schemas, write efficient queries, and reason about data ownership and consistency
- Build and maintain responsive front-end components using Vue.js, consuming backend services and APIs
- Build software that is observable, testable, and operable - logging, monitoring, alerting, and graceful failure handling are first-class concerns
- Leverage AI coding tools (e.g., Claude Code, Codex) as a standard part of the development workflow - for code generation, refactoring, test scaffolding, and documentation - while maintaining full accountability for the output
- Help establish and evolve team norms around AI-assisted development - what good looks like for spec quality, prompt discipline, AI-generated code review, and responsible use
- Lead code reviews, mentor engineers across experience levels, and champion engineering best practices organization-wide
- Partner cross-functionally with DevOps, QA, product, and design teams; serve as a technical liaison and contribute to roadmap and architecture decisions
- Document decisions, APIs, and operational runbooks in a way that reduces bus factor and scales knowledge across the team
Critical Skills & Experience Requirements- Bachelor's Degree in Computer Science or related field (preferred)
- 7+ years of professional software engineering experience
- 4+ years of experience writing production Go; idiomatic, well-tested, and maintainable code is a baseline expectation. Working proficiency in Python for scripting, automation, or tooling
- Strong software design instincts - experience with multiple architectural patterns (microservices, monoliths, event-driven) and knowing when to apply each
- Solid experience building APIs and integrations (REST, gRPC, event-driven, or otherwise) with attention to versioning, contracts, and consumer impact
- Practical understanding of distributed systems and backend fundamentals - consistency, availability, latency tradeoffs, failure modes, and operational realities
- Experience with synchronous and asynchronous communication patterns (HTTP/gRPC, messaging systems)
- Experience working with relational and/or NoSQL databases in a service-oriented architecture
- Experience building front-end applications with Vue.js, including component architecture, state management, and integration with REST or event-driven backends
- Strong debugging, performance tuning, and production support experience
- Strong problem-solving skills and architectural judgment, including knowing how and when to leverage AI tooling effectively and responsibly
- Excellent communication skills and collaborative mindset
- Strong sense of ownership and accountability
- Demonstrated ability to mentor engineers and elevate team technical capability
- Hands-on experience with AI-assisted development tools (Claude Code, Codex, or similar) and comfort applying them across the SDLC
Nice to Haves- Experience with event streaming platforms (Kafka, Pub/Sub, NATS)
- Experience with serverless compute, particularly AWS Lambda - event-driven invocation patterns, cold start management, and integration with API Gateway or messaging services
- Experience with API gateways and service meshes
- Experience implementing authentication and authorization (OAuth2, JWT, SSO)
- Familiarity with domain-driven design (DDD) principles
- Experience working in Agile/Scrum environments with AI-augmented planning and delivery practices
- Experience with Spec Driven Development or similar structured pre-implementation design practices
- Familiarity with MCP (Model Context Protocol) integrations or AI-to-toolchain automation in development environments
BENEFITS
Free Play & 1/2 price food! Health, dental, vision, 401(k) team member match, free mental well-being platform - and that's just for starters for those who qualify. View team member benefits here.
