Principal Software Engineer

Job Summary

Required Qualifications

• •Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• •15+ years of experience in software engineering, with a proven track record of architecting and delivering complex, large-scale distributed systems and platforms end to end
• •Deep, hands-on expertise in TypeScript/Node.js and modern backend frameworks (e.g., Express), building production services at scale
• •Strong expertise in GraphQL, ideally Apollo Server and Apollo Federation (subgraphs, gateway/router, schema design and governance), including patterns like DataLoader for efficient data fetching
• •Solid frontend/client architecture experience — able to define API contracts and data-fetching patterns for React web and/or native mobile clients (Swift/iOS, Kotlin/Android), and reason about client performance and UX at scale
• •Strong data layer expertise: relational databases (PostgreSQL, ideally with Prisma/ORMs) and NoSQL (MongoDB, DynamoDB), plus caching with Redis/ElastiCache (cache-aside, invalidation, stampede protection)
• •Experience designing event-driven and streaming architectures with Apache Kafka (and/or RabbitMQ/SQS), including schema/contract management (e.g., Protobuf)
• •Experience building and operating Tier-1 systems (high uptime, strict SLAs) with real-time/low-latency requirements and large, spiky traffic
• •5+ years of cloud experience (AWS preferred), with Kubernetes/EKS, Docker, Helm, and Infrastructure as Code (Terraform/Terragrunt)
• •Strong grounding in resilience patterns, observability (Datadog, OpenTelemetry, structured logging) and production operations
• •Solid understanding of CI/CD (GitHub Actions), automated testing, code quality tooling, and secure engineering (JWT/auth, secrets management)
• •Excellent problem-solving, debugging and performance-tuning skills
• •Strong communication and leadership skills; ability to influence and drive cross-team technical decisions

Desired Qualifications

• •Experience with Elixir/OTP (Phoenix, GenStage) or other BEAM/actor-model, back-pressure-aware systems
• •Experience delivering real-time consumer products at massive scale — sports, social, messaging, live scores, or live streaming/clips
• •Experience with push notifications at scale (APNS/FCM) and fan engagement/messaging systems
• •Exposure to serverless (AWS Lambda) and multi-region, globally distributed architectures
• •Hands-on experience with AI-assisted development and agentic coding workflows (e.g., Cursor, GitHub Copilot, Claude Code) to accelerate delivery, and a track record of driving responsible adoption across engineering teams
• •Experience designing or integrating agentic AI / LLM-powered features into production systems — including patterns like retrieval-augmented generation (RAG), tool/function calling, agent orchestration, evaluations and guardrails
• •Familiarity with the modern AI engineering ecosystem — LLM APIs, vector stores/embeddings, prompt and context engineering, and protocols such as MCP (Model Context Protocol) for tool integration
• •A demonstrated habit of continuously evaluating and adopting emerging technologies — piloting new tools, running proofs-of-concept, and setting the bar for how the team leverages AI to improve developer productivity and product experiences
• •Contributions to open-source projects or engagement with the GraphQL/streaming communities