Senior Backend Engineer

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Brahma

WebsiteLinkedInAll Job Openings

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

• Design, build, and maintain high-performance RESTful APIs, microservices, and event-driven architectures for AI-powered media workflows. • Build robust data pipelines, database schemas, and caching layers (PostgreSQL, Redis) for handling large-scale media content. • Collaborate with ML researchers and engineers to integrate model inference and training workflows into production backend systems. • Implement application-level logging, metrics, and alerting; actively participate in performance profiling, root-cause analysis, and production incident resolution alongside our DevOps team. • Optimise server-side code, async queues, and database queries for low latency, high throughput, and high availability. • Partner with frontend/product teams to ensure API contracts make complex generative AI capabilities intuitive to consume.

🎯 Requirements

• 5+ years of software engineering experience, with primary expertise in server-side Python development. • Proven track record building scalable RESTful APIs, microservices, and async/event-driven systems. • Strong relational database design (e.g., PostgreSQL) and caching/memory store experience (e.g., Redis). • Experience with production observability (logging, monitoring, alerting) and a disciplined approach to debugging, testing, and incident response. • Pragmatic experience using AI development tools (e.g., Copilot, Cursor, LLM APIs) to boost coding velocity while maintaining strict code quality, test coverage, and architectural rigor. • Understanding of core AI concepts (e.g., the operational differences, latency requirements, and resource profiles of model training vs. inference). • Rudimentary knowledge of modern JavaScript/TypeScript and web development concepts—enough to collaborate seamlessly with UI engineers or build internal prototypes.

🏖️ Benefits

• Health insurance • Professional development opportunities