Engineering Team Lead

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the Brahma Studio engineering team consisting of 8–10 backend and fullstack engineers.

• Directly report to the VP of Engineering.

• Convert product roadmaps and PRDs into well-defined engineering milestones.

• Ensure predictable release timelines and establish effective stand-ups and execution workflows.

• Identify technical risks, resolve blockers, and make pragmatic trade-offs to keep the code progressing to production.

• Mentor and manage engineers through one-on-one meetings and structured career development initiatives.

• Collaborate with the System Architect to shape the technical vision and uphold code quality standards.

• Uphold engineering rigor across code reviews, CI/CD pipelines, and implement shift-left quality and security practices.

• Develop internal proof of concepts, demo tools, and custom AI skills.

• Incorporate AI-assisted development tools into everyday workflows.

• Ensure comprehensive logging, monitoring, and alerting through DataDog.

• Act as the main engineering escalation point for Studio engineering matters.

• Work with Product Managers, the System Architect, and leadership on commitments related to platform development.

• Engage in technical decision-making and contribute code for less than 20% of the role.

⛳️ Requirements

• Minimum of 3 years of experience managing engineering teams with 8–10 direct reports.

• Demonstrated history of structured mentorship, regular one-on-one meetings, and reliable delivery.

• Proven capability to decompose complex platform requirements into iterative technical deliverables while maintaining consistent delivery schedules.

• Strong background in technical decision-making, conducting code reviews, and providing mentorship.

• Experience with AI-assisted development tools and workflows related to LLM integration.

• Solid expertise in server-side Python, RESTful API design, microservices architecture, relational databases (PostgreSQL), and asynchronous/caching layers (Redis, background workers).

• Practical experience with containerized environments (Docker, Kubernetes), CI/CD automation, and cloud observability platforms.

• Excellent communication skills, with a proven ability to set clear expectations, address scope creep promptly, and discuss technical trade-offs transparently.

• Familiarity with media processing pipelines (FFmpeg, video encoding) or AI model serving (latency, inference) is a plus.

• Experience with Google Cloud Platform (GCP) or multi-cloud architectures is advantageous.

🏝️ Benefits

• No benefits, perks, or additional compensation explicitly stated.