Engineering Team Lead

Vaga não está no LinkedIn

🕒 2 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 25%

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Brahma

11 - 50 funcionários

Fundada em 2022

₿ Cripto

💳 Fintech

🔌 API

💰 $4.206.900 Seed Round - Brahma em 2022-02

Crypto • Fintech • API

Brahma é uma camada de orquestração focada em desenvolvedores que conecta a lógica financeira onchain a sistemas de pagamento e liquidação offchain. Ela permite fluxos de capital programáveis ​​através de blockchains, estratégias e trilhos de pagamento tradicionais, fornecendo contas inteligentes, agentes automatizados e emissão de cartões programáveis ​​para que aplicativos possam transformar posições onchain em gastos no mundo real. A Brahma abstrai a infraestrutura e liquidação para desenvolvedores, permitindo que construam aplicativos onchain ou híbridos sem operar backends.

Descrição

• 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

🎯 Requisitos

• 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]

🏖️ Benefícios

• No benefits, perks, or additional compensation explicitly stated

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