Engineering Leader
About the role
Work Location
Oscar is a blended work culture where everyone, regardless of work type or location, feels connected to their teammates, our culture and our mission.
If you live within commutable distance to our New York City office (in Hudson Square), our Tempe office (off the 101 at University Dr), or our Los Angeles office (in Marina Del Rey), you will be expected to come into the office at least three days each week.
Responsibilities
- Manage a team of engineers, focusing on professional development, performance management, and technical mentorship.
- Oversee the planning, execution, and delivery of complex technical projects, ensuring they meet deadlines and quality standards.
- Lead architectural decisions and technical design for full-stack applications.
- Partner with Product, Design, and other engineering leads to define roadmaps and solve business challenges.
- Promote best practices in software development, including code reviews, testing, and documentation.
- Identify and resolve bottlenecks in the development process to improve team velocity and system reliability.
Qualifications
- 6+ years of professional software engineering experience, working with a variety of technologies, and have increasingly impactful accomplishments.
- 2+ years of experience in engineering management or a technical lead role.
- Experience proposing, experimenting, and iterating, whether it be a new shiny technology or an arcane, ill-conceived data structure.
- Experience with technical contributions, improving the quality of what you create, and are excited to build fault-tolerant, and scalable software systems.
- Demonstrates solid understanding of the practical application of CS concepts within their team.
- Consistently writes stable, correct, and maintainable code with little oversight; writes modular, adaptable code with guidance.
Bonus Points
- Advanced experience with frontend architecture and building end-to-end web applications.
- Proficiency in designing micro services, optimizing database performance, or working with distributed systems.
- Familiarity with integrating Machine Learning models, working with Large Language Models (LLMs), or building data-driven features.
- Background in healthcare or other highly regulated industries.
Pay Transparency
Pay Transparency
Artificial Intelligence (AI)
Reasonable Accommodation
California Residents
Not included in the source posting: about the role, qualifications, benefits.
Skills
Who can apply
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