Sr. Backend Engineer (TypeScript/Node.js)

Job description: Experience: 8+ years About the Role We''re looking for a senior engineer who doesn''t just write code - they own outcomes. You''ll be responsible for the fulllifecycle of backend services: from design and development through production reliability. In an era where AI cangenerate code, we value engineers who think critically, anticipate problems, and drive systems forward. What We Expect End-to-End Ownership

• Own features from design -> development -> testing -> deployment -> production support - Take accountability for the reliability and performance of your services in production - Drive technical decisions without waiting to be told what to do System Design & Architecture
• Design scalable, resilient distributed systems handling millions of daily transactions - Make pragmatic trade-off decisions (consistency vs. availability, complexity vs. speed) - Produce clear technical design documents and lead design reviews - Evaluate build vs. buy decisions with data Development
• Strong proficiency in TypeScript and Node.js - Build high-throughput, low-latency microservices using frameworks like NestJS, Express, or Fastify - Write clean, type-safe, maintainable code - but more importantly, know when and what to build Testing & Quality
• Write meaningful unit, integration, and contract tests - not just for coverage metrics - Own E2E test strategy for your services - Build confidence in deployments through automated validation Infrastructure & Cloud (AWS)
• Hands-on with AWS services (ECS/EKS, Lambda, S3, SQS, CloudWatch, IAM) - Understand networking, security, and cost implications of architectural choices - Comfortable with Infrastructure as Code (Terraform/CloudFormation) Data & Messaging
• Kafka - design event-driven architectures, manage topics, handle consumer lag and rebalancing - Redis - caching strategies, pub/sub, cluster management - MongoDB/DocumentDB - schema design, indexing, query optimization, aggregation pipelines - DynamoDB - single-table design, GSI/LSI strategies, capacity planning, streams Monitoring & Observability
• Datadog - build dashboards, set meaningful alerts, track SLOs, analyze APM traces - Splunk - log analysis, search queries, correlation across services for incident investigation - Understand distributed tracing, structured logging, and metric-driven decision making SRE Mindset
• Analyze production incidents: read logs, trace requests, identify root cause under pressure - Think about failure modes before they happen (circuit breakers, retries, fallbacks, graceful degradation) - Participate in on-call rotations and drive blameless post-mortems - Proactively identify capacity risks and performance bottlenecks Proactive Analysis & Innovation
• Identify risks, tech debt, and performance bottlenecks before they become incidents - Propose and drive improvements - don''t wait for a ticket - Stay current with industry trends and bring relevant ideas to the team - Challenge existing patterns when they no longer serve the system What This Role is NOT
• A pure coding role - AI can write code; we need engineers who decide what to build and why - A ticket-taker role - you identify work, not just execute it - A siloed role - you''ll collaborate across teams, influence architecture, and mentor others Nice to Have
• Experience with circuit breaker patterns (opossum, cockatiel) - Performance tuning at scale (Node.js event loop, worker threads, connection pools) - Experience with CI/CD pipelines and deployment strategies (blue-green, canary) - Contributions to internal tooling or developer experience improvements - Experience leading technical initiatives across multiple teams Show more Show less