Full Stack Engineer

Tenant IncRenting Reimagined · AI-Driven, Fast-Moving SaaS · Irvine, CASenior Full Stack Engineer/Extensive AI-Driven DevelopmentLocation: Irvine, California (Hybrid) | Type: Full-Time | Experience: 7+ YearsAbout Tenant IncTenant Inc is a fast-growing SaaS company headquartered in Irvine, CA, building the next generation of Property Management Software (PMS) for the self-storage industry. The OpportunityWe're hiring a Senior Full Stack Engineer to drive the technical execution of our core platform. You'll work alongside our CTO and product leadership to design scalable systems, mentor our engineering team, and deliver features that directly power property managers across the US. This is a high-ownership, high-visibility role — not just a coding seat.You will also have fundamental responsibility for driving the structure and adoption of AI-driven development, testing, deployment, etc. and must come to the job with true expertise in organizing an engineering team and platform to maximize this effectiveness.What You'll DoFundamental responsibility for driving the structure and adoption of AI-driven development, testing, deployment, etc. and must come to the job with true expertise in organizing an engineering team and platform to maximize this effectiveness.Architect and lead development of full-stack features across our SaaS platform using Node.js, React, and AWSPartner with the CTO and Product team to translate business requirements into scalable, maintainable technical solutionsOwn the full SDLC — from functional specification and design through implementation, testing, and production supportLead and mentor engineers; conduct code reviews, set standards, and build a culture of technical excellenceDrive cloud infrastructure decisions on AWS (Lambda, RDS, serverless architecture)Establish and enforce development best practices: design patterns, testing standards, CI/CD pipelinesCommunicate technical progress, risks, and trade-offs clearly to senior leadership and non-technical stakeholdersContribute to hiring, onboarding, and growing the engineering org as we scaleWhat We're Looking ForRequired2+ Years driving the structure and adoption of AI-driven development, testing, deployment across a complex codebase. Preference for ClaudeCode, though Codex is also acceptable.7+ years of professional software engineering experienceDeep expertise in Node.js and at least one modern frontend framework (React preferred; Angular or Vue also considered)Strong command of MySQL, Postgres, and AWS RDS for relational database design and query optimizationHands-on AWS experience — Lambda, EC2, S3, RDS, API Gateway, and serverless patternsProficiency in scripting with Python for automation and backend toolingSolid understanding of design patterns, multithreaded environments, and distributed systemsExperience mentoring engineering teams and managing cross-functional priorities in a fast-paced environmentUnix/Linux systems experience and Git-based version control workflowsFundamental understanding of the business concept – endlessly repeated by the CTO: “YES, BUT FASTER.”Excellent verbal and written communication, bridging the gap between Engineering, Product, Executive Leadership and, occasionally, our Customers.AI Specifics2+ Years driving the structure and adoption of AI-driven development, testing, deployment across a complex codebase. Preference for ClaudeCode, though Codex is also acceptable.Demonstrated experience tailoring agentic coding environments to project-specific conventions, including custom workflows, lifecycle automation, and tool integrations, with measured impact on team velocity and code quality.Experience architecting systems with AI-maintainability in mind, including schema-first patterns, single-source-of-truth derivations, clean module boundaries, and predictable interfaces that reduce LLM hallucination surface area.Track record of designing or adopting code conventions and engineering guardrails that prevent common LLM failure modes such as hallucinated APIs, scope creep, type-system bypasses, and schema duplication.Experience producing and maintaining technical documentation in formats that AI tools can read, write, and keep in sync with code, including code-based diagrams, decision records, and domain references.Ability to evaluate AI tooling options across cost and capability tiers, and to make selection decisions appropriate to team segment, task type, and quality/cost tradeoffs.Demonstrated experience tailoring agentic coding environments to project-specific conventions, including custom workflows, lifecycle automation, and tool integrations, with measured impact on team velocity and code quality.Experience architecting systems with AI-maintainability in mind, including schema-first patterns, single-source-of-truth derivations, clean module boundaries, and predictable interfaces that reduce LLM hallucination surface area.Track record of designing or adopting code conventions and engineering guardrails that prevent common LLM failure modes such as hallucinated APIs, scope creep, type-system bypasses, and schema duplication.Experience producing and maintaining technical documentation in formats that AI tools can read, write, and keep in sync with code, including code-based diagrams, decision records, and domain references.Ability to evaluate AI tooling options across cost and capability tiers, and to make selection decisions appropriate to team segment, task type, and quality/cost tradeoffs.Familiarity with model reasoning-depth controls and their cost-quality tradeoffs, and a habit of applying new prompt patterns and model capabilities as the frontier evolves.Expansive familiarity with the information sources, communities, and channels that surface cutting-edge AI capabilities, tooling, and trends.Experience designing AI-augmented CI/CD pipelines — code review, eval gates, test generation, changelog generation, deployment-aware automation — and measuring their impact on PR throughput, bug rates, time-to-merge, and code-review burden.Experience leading refactoring, migration, or modernization work with AI tooling as a force multiplier, with concrete examples of velocity and quality outcomes.Familiarity with empirical AI productivity research and the practice of validating tool adoption with measurement before scaling.Track record of mentoring engineers across mixed AI-fluency levels and cost / IP / budget constraints.Nice to HaveFamiliarity with Agile/Scrum methodologies and sprint planningExperience at a B2B SaaS company, ideally in PropTech, real estate, or storage managementPrior experience building multi-tenant SaaS platformsBackground in serverless-first architecture and event-driven systemsWhy Tenant IncCompetitive base salary + equity in a high-growth SaaS companyHybrid flexibility — meaningful in-person collaboration in Irvine with remote days built inDirect impact on a platform used by thousands of property managers across the USSmall team, big scope — you'll architect systems, not just implement ticketsHealth, dental, vision benefits + 401(k)A mission-driven culture building software that makes renting simpler for everyoneEducationB.E. / B.Tech / M.Tech in Computer Science, Electronics & Communication, or Information Technology — or equivalent practical experience.Tenant Inc is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.