Engineering Manager - Application & Check Out
New
B
BestowLife Insurance
Remote, USFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 5+ years experience developing software, with at least 1 year of prior management experience.
- Required Skills
- PythonGoNext.jsReactRESTful APIsGenerative AI
Requirements
- Bachelor’s Degree or equivalent experience required
- 5+ years experience developing software
- At least 1 year of prior management experience
- Proficient across the full stack
- Experience with frontend (React, Remix/Next.js)
- Experience with backend services (GoLang and/or Python)
- Experience with APIs and databases
- Deep understanding of the entire software development lifecycle
- Experience with GenAI developer tooling
- Experience with continuous delivery and release strategies
- Ability to track key metrics and consistently meet established Service Level Agreements (SLAs)
- Ability to understand complex technical problems and identify areas of risk
- Ability to 'go deep' technically and contribute code
- Highly organized and detail-oriented
- Proven track record of building and retaining high-performing teams
Responsibilities
- Work directly with other engineering teams, product, design, TPM, and external stakeholders to introduce new customer-facing platform features and support/evolve existing products.
- Work with a distributed team of engineers–mentoring and driving engineering best practices.
- Assist in setting the roadmap for team deliverables in a dynamic environment.
- Drive delivery of high-quality product initiatives and engineering improvements.
- Work with the team to identify, scope, and schedule improvements to the frontend platform.
- Communicate effectively, excelling at explaining complex systems and requirements to non-technical cross-functional partners.
- Be very technical and willing to participate in system design, code reviews, incident investigations, and directly contribute code towards team initiatives.
- Be data-driven in their engineering management practices, fostering continuous improvement.
- Drive the adoption of AI development tools (e.g., GitHub Copilot, Claude Code, Cursor) across frontend and backend domains to accelerate the delivery of modular, full-stack features.
- Establish cross-stack standards for AI-generated code—from API design to UI components—ensuring that automated testing and documentation workflows reduce technical debt.
- Mentor engineers on leveraging GenAI to bridge domain gaps, enabling more fluid collaboration between frontend and backend contributors while maintaining high architectural integrity.
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