Senior Full Stack Engineer

Tenant Inc.

Irvine (CA)

Hybrid

USD 140,000 - 190,000

Full time

12 days ago

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Benefits offered by this job

Competitive equity
Hybrid in Irvine
Impactful work for US property mgmt
Small team, big scope

Job summary

Tenant Inc, based in Irvine, CA, is hiring a Senior Full Stack Engineer to drive the technical execution of our core platform. You will architect full-stack features using Node.js, React, and AWS, mentor the engineering team, and shape AI-driven development, testing, and deployment practices.

You will own the SDLC, collaborate with CTO and Product leadership, and help scale a high-visibility platform used by property managers across the US.

Qualifications

  • 2+ years leading AI-driven development and deployment across a complex codebase (ClaudeCode preferred)
  • 7+ years of professional software engineering experience
  • Deep expertise in Node.js and a modern frontend framework (React preferred)
  • Strong SQL experience with MySQL/Postgres
  • Hands-on AWS experience (Lambda, EC2, S3, RDS, API Gateway)
  • Proficiency in Python scripting
  • Experience mentoring engineering teams
  • Unix/Linux experience and Git workflows

Responsibilities

  • Architect and lead development of full-stack features across our SaaS platform using Node.js, React, and AWS
  • Own the full SDLC from design through production support
  • Mentor engineers, conduct code reviews, set standards and build a culture of technical excellence
  • Drive cloud infrastructure decisions on AWS and serverless patterns
  • Partner with CTO/Product to translate business requirements into scalable solutions
  • Communicate progress and risks clearly to leadership
  • Contribute to hiring, onboarding, and growing the engineering org

Skills

Node.js
React
AWS
Python
SQL databases
CI/CD
Leadership
Mentoring

Education

B.E./B.Tech./M.Tech in CS/EC/IT

Tools

AWS
Git
Docker
GitHub Actions

Job description

Tenant 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 Opportunity

We'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 Do
  • 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.
  • Architect and lead development of full-stack features across our SaaS platform using Node.js, React, and AWS
  • Partner with the CTO and Product team to translate business requirements into scalable, maintainable technical solutions
  • Own the full SDLC — from functional specification and design through implementation, testing, and production support
  • Lead and mentor engineers; conduct code reviews, set standards, and build a culture of technical excellence
  • Drive cloud infrastructure decisions on AWS (Lambda, RDS, serverless architecture)
  • Establish and enforce development best practices: design patterns, testing standards, CI/CD pipelines
  • Communicate technical progress, risks, and trade-offs clearly to senior leadership and non-technical stakeholders
  • Contribute to hiring, onboarding, and growing the engineering org as we scale
What We're Looking For
Required
  • 2+ 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 experience
  • Deep 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 optimization
  • Hands-on AWS experience — Lambda, EC2, S3, RDS, API Gateway, and serverless patterns
  • Proficiency in scripting with Python for automation and backend tooling
  • Solid understanding of design patterns, multithreaded environments, and distributed systems
  • Experience mentoring engineering teams and managing cross-functional priorities in a fast-paced environment
  • Unix/Linux systems experience and Git-based version control workflows
  • Fundamental 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 Specifics
  • 2+ 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 Have
  • Familiarity with Agile/Scrum methodologies and sprint planning
  • Experience at a B2B SaaS company, ideally in PropTech, real estate, or storage management
  • Prior experience building multi-tenant SaaS platforms
  • Background in serverless-first architecture and event-driven systems
Why Tenant Inc
  • Competitive base salary + equity in a high-growth SaaS company
  • Hybrid flexibility — meaningful in-person collaboration in Irvine with remote days built in
  • Direct impact on a platform used by thousands of property managers across the US
  • Small team, big scope — you'll architect systems, not just implement tickets
  • A mission-driven culture building software that makes renting simpler for everyone
Education

B.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.

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