Full-Stack Engineer, End-to-End SDLC (AI-Augmented, Founding Engineer Mindset) at Uptech | Torre

Full-Stack Engineer, End-to-End SDLC (AI-Augmented, Founding Engineer Mindset)

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Full-time

Legal agreement: Employment

Compensation
USD7.2k - 90k/year
Negotiable
location_on
Remote (specific timezone)
public
GMT-07:00 to GMT-03:00
Posted 23 days ago

Responsibilities


Role Overview: - We are hiring AI orchestrators who direct AI across the entire SDLC including writing, testing, verifying, deploying, troubleshooting, documenting, and shipping at high velocity. - You bring judgment, architectural intent, and verification design while the AI handles the volume. - This is an SDLC-focused role covering design, build, test, deploy, observe, troubleshoot, tune, and iterate. - You own outcomes rather than tickets, pivot with company needs, and make architectural calls that withstand C-suite scrutiny. Responsibilities: - Own full-stack delivery across Python and Go services, PostgreSQL data layer, and AWS infrastructure. - Contribute to mobile applications on iOS and Android, including managing App Store or Play Store review processes. - Push AI tooling to the frontier by utilizing Claude Code, sub-agents, custom skills, project rules, MCP servers, and automated review loops. - Own testing across the full pyramid, including unit, integration, end-to-end, and smoke tests. - Drive requirements traceability by mapping requirements to code, code to tests, and tests to validated outcomes. - Tune performance by profiling hot paths, database queries, network calls, memory pressure, and mobile rendering. - Troubleshoot production issues as a forensic investigator to resolve root causes. - Recommend and implement deployment approaches such as blue-green, canary, rolling, or feature-flagged releases. - Make architectural decisions regarding serverless, containers, or EC2 and communicate tradeoffs, risks, and implications to the C-suite. - Design AI-driven verification loops for automated test generation, code review, and regression checks. - Pivot with company priorities in a regulated, infrastructure-heavy industry. Requirements: - 5+ years of hands-on software engineering experience prior to AI-augmented workflows. - Demonstrable 10x output using Claude Code or comparable AI coding tools. - Deep, current command of AI engineering workflows including agent teams, custom skills, and MCP integrations. - Recent experience as a founding engineer with a history of shipping without a safety net. - Real testing discipline across unit, integration, end-to-end, and smoke testing. - Performance instincts including profiling, query optimization, and caching strategy. - Troubleshooting depth with a methodical approach to isolating variables. - Deployment and architecture judgment with the ability to defend technical choices. - Excellent architectural judgment and communication skills to translate technical tradeoffs into business language. - Independent, flexible, and thrives in a distributed team with async-first communication. - Bias toward validation, traceability, and reproducibility over speed-without-rigor. - Genuine love for the full SDLC and ownership of the entire lifecycle.
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