Engineering Team Lead

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 23%

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Logo of Brahma

Brahma

11 - 50 employees

Founded 2022

₿ Crypto

💳 Fintech

🔌 API

💰 $4.2M Seed Round - Brahma on 2022-02

Crypto • Fintech • API

Brahma is a developer-focused orchestration layer that connects onchain financial logic to offchain payment and settlement systems. It enables programmable capital flows across blockchains, strategies, and traditional payment rails, providing smart accounts, automated agents, and programmable card issuance so apps can turn onchain positions into real-world spending. Brahma abstracts infrastructure and settlement for developers, letting them build onchain or hybrid apps without running backend ops.

📋 Description

• Lead the Brahma Studio engineering team of 8–10 backend and fullstack engineers • Report directly to the VP of Engineering • Translate product roadmaps and PRDs into clear engineering milestones • Maintain predictable release schedules and establish efficient stand-ups and execution workflows • Identify technical risks, clear blockers, and make pragmatic trade-offs to keep code moving to production • Manage and mentor engineers through 1:1s and structured career development • Partner with the System Architect to shape technical vision and enforce code quality benchmarks • Enforce engineering rigor across code reviews, CI/CD pipelines, and shift-left quality and security practices • Build internal PoCs, demo tools, and custom AI skills • Integrate AI-assisted development tools into daily workflows • Ensure comprehensive logging, monitoring, and alerting using DataDog • Serve as the primary engineering escalation point for Studio engineering • Collaborate with Product Managers, the System Architect, and leadership on platform development commitments • Contribute to technical decisions and write code for less than 20% of the role

🎯 Requirements

• 3+ years of experience managing engineering teams of 8–10 direct reports • Strong track record of structured mentorship, regular 1:1 cadences, and predictable delivery • Proven ability to break complex platform requirements into iterative technical deliverables and maintain consistent delivery schedules • Strong background in technical decision-making, code reviews, and mentorship • Experience applying AI-assisted development tools and LLM integration workflows • Solid expertise in server-side Python, RESTful API design, microservices architectures, 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 track record of setting clear expectations, addressing scope creep early, and communicating technical trade-offs candidly • Understanding of media processing pipelines (FFmpeg, video encoding) or AI model serving (latency, inference) [nice to have] • Exposure to Google Cloud Platform (GCP) or multi-cloud architecture [nice to have]

🏖️ Benefits

• No benefits, perks, or additional compensation explicitly stated

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