Engineering Manager, Homeowner and Partner Experiences

13 hours, 23 minutes ago
Full-time
Lead
Software Development
Splitero

Splitero

Splitero provides homeowners with the opportunity to access their home equity by offering cash today in exchange for a share of their home's future appreciation, aiming to improve their financial options without incurring additional debt or monthly pay...

Banks
11-50
Founded 2021
$6M raised

Description

  • Lead and develop a team of full-stack engineers through 1:1s, feedback, goal setting, and performance management.
  • Own the architecture and evolution of AWS infrastructure using AWS CDK.
  • Drive system security, observability, reliability, monitoring, alerting, and incident response practices.
  • Optimize AWS and serverless Lambda applications for performance, cost, and scalability.
  • Define and implement AI-first engineering practices, including tooling, guardrails, conventions, and review processes.
  • Build internal tools and workflows that improve the quality and consistency of AI-assisted development.
  • Contribute hands-on to homeowner and partner product development.
  • Partner with the technical lead, product, QA, Salesforce, and offshore engineering teams to align technical decisions, priorities, integrations, and delivery.
  • Improve engineering standards for code review, testing, deployment, documentation, and knowledge sharing.
  • Support hiring, onboarding, and growth of the engineering team.

Requirements

  • 8+ years of full-stack or platform engineering experience, with a strong focus on backend and cloud infrastructure.
  • 3+ years of direct engineering management experience while remaining hands-on.
  • Deep production experience with AWS infrastructure and AWS CDK.
  • Strong background in cloud security, observability, scalability, and maintainable system design.
  • Proficiency in TypeScript and Node.js, with PostgreSQL and database design experience.
  • Experience with modern React technologies, including Next.js, Tailwind, and Vercel.
  • Experience leading team-level AI-first engineering practices, including LLM guardrails and quality standards.
  • Experience building internal tooling, automation, or developer workflows for AI-assisted development.
  • Strong technical judgment, communication skills, and ability to support engineer growth and performance.
  • Must be located in the United States; PST or MST working hours preferred.
  • Experience with offshore or distributed teams and Salesforce platforms or integrations is preferred.

Benefits

  • Salary range of $160,000–$180,000, based on job-related skills, experience, and education or training.
  • Comprehensive healthcare coverage for employees and families starting on the first day.
  • Flexible PTO and parental leave.
  • Monthly cell phone and internet stipend.
  • Access to any WeWork location.
  • Reasonable accommodations for candidates and employees with disabilities.

Interested in this position?

Apply directly on the company website

Apply Now

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