About The Position

The Senior Full Stack Engineer will work on a custom community platform for personal development, coaching, courses, community forums, and daily engagement. The product is in private beta, with substantial product and codebase already in place and significant engineering work remaining before its public launch. The engineer will initially work closely with the engineer who designed and built the platform, then progressively assume greater responsibility for the platform’s architecture, production readiness, and technical operations. The role has a strong backend focus while also involving hands-on Vue.js frontend development and contributions to the customer experience. This is a contract-to-hire opportunity. The initial contractor period is three months, with the possibility of transitioning to a full-time W2 position with benefits based on performance. The position is unavailable to candidates in California, New York, New Jersey, or Pennsylvania. The successful candidate must be available for at least five to six hours overlapping an 8–5 or 9–6 Mountain Standard Time schedule. The hiring company is a fast-growing coaching and personal development business founded in 2016. Its offerings include coaching programs, digital products, bestselling books, a podcast, and live events. The company was ranked #171 on the Inc. 500 list of fastest-growing companies. Once hired directly, employees receive the benefits listed in the posting.

Requirements

  • 8 to 12+ years of software engineering experience, including strong production experience with Vue.js and deep hands-on experience with relational database design.
  • Proven experience owning significant portions of a production platform across backend architecture, databases, APIs and integrations, infrastructure, deployment, monitoring, troubleshooting, and production support.
  • Experience assessing production applications for security, scalability, reliability, and performance risks, including identifying vulnerabilities, protecting sensitive customer data, diagnosing bottlenecks, and implementing pragmatic improvements.
  • Strong backend engineering depth and technical judgment to understand an existing system holistically and take responsibility for its architecture and technical health.
  • Experience reviewing and validating other engineers’ or external development partners’ work, including architecture decisions, code quality, testing, security, scalability, and production readiness.
  • Ability to quickly understand and contribute within an existing codebase and technical direction, identifying material risks and making pragmatic improvements rather than defaulting to unnecessary rewrites or redesigns.
  • Experience owning production readiness, including monitoring, incident troubleshooting, release processes, technical QA, and resolving critical production issues.
  • Proven experience using AI coding agents on a production codebase to improve productivity without replacing sound engineering judgment.
  • Ability to operate independently, stay organized and self-sufficient, and make sound technical decisions in a fast-paced environment.
  • Interest in working in a startup environment and a track record of adapting to changing priorities and taking increasing technical ownership as a company scales.
  • Proven experience owning entire features and systems from architecture and data modeling through implementation, testing, deployment, monitoring, and ongoing production support.
  • Availability for at least five to six hours overlapping an 8–5 or 9–6 MST schedule.
  • Must not be located in California, New York, New Jersey, or Pennsylvania.

Nice To Haves

  • PostgreSQL experience is preferred.
  • Experience with Nuxt and Prisma is a plus.
  • Background in regulated industries or high-volume e-commerce, particularly environments involving sensitive customer data, compliance requirements, high transaction volumes, and large numbers of concurrent users.
  • Production experience with AI/LLM architecture, including RAG, agents, context management, model integrations, or similar systems, is a strong plus.

Responsibilities

  • Assess the existing production codebase for security vulnerabilities, scalability and performance bottlenecks, architecture risks, data protection concerns, and reliability issues; prioritize and implement pragmatic improvements for a safe, stable public launch.
  • Take increasing ownership of the platform’s technical health and architecture, ultimately serving as its internal technical owner for stability, security, scalability, reliability, and continued evolution.
  • Own features end to end, from data modeling and architecture through implementation, testing, deployment, monitoring, and production support.
  • Work across the full stack, with a strong backend focus and hands-on Vue.js frontend development.
  • Serve as the internal technical counterpart to outside engineering partners by reviewing architecture and code, challenging technical decisions when appropriate, validating deliverables, and ensuring work meets product, security, scalability, and production requirements.
  • Partner with the existing platform engineer on technical knowledge transfer, including architecture, codebase knowledge, environments, infrastructure, accounts, deployment processes, documentation, and operational procedures.
  • Own production readiness and technical operations, including monitoring, troubleshooting, incident response, release readiness, technical QA, and escalation of production issues.
  • Design, automate, and execute functional, regression, load, and smoke testing.
  • Identify and communicate technical risks early, distinguishing genuine engineering concerns from personal preferences.
  • Design and evolve relational data models, PostgreSQL schemas, queries, indexes, migrations, and Prisma models.
  • Work across integrations including Stripe Connect, LiveKit, Twilio, Zoom, Anthropic, and pgvector.
  • Use AI coding agents to accelerate development while maintaining standards for correctness, reliability, security, and maintainability.
  • Ideally contribute to production AI architecture, including LLM integrations, RAG, agents, context management, retrieval, evaluation, and production reliability.

Benefits

  • Multiple medical insurance options and an employer contribution toward medical insurance premiums (after transition to direct hire).
  • Dental and vision insurance options (after transition to direct hire).
  • Supplemental life insurance (after transition to direct hire).
  • Voluntary short-term and long-term disability insurance (after transition to direct hire).
  • 15 days of PTO annually (after transition to direct hire).
  • 7 paid company holidays (after transition to direct hire).
  • Access to company-certified coaches and personal development opportunities (after transition to direct hire).
  • Opportunities to attend company live events (after transition to direct hire).
  • Travel and leisure membership benefits (after transition to direct hire).

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