Backend Engineer

Insight Global is seeking 2 Backend Engineers to join their customers team on a full time employee basis. This person can be located in Las Vegas, Nevada; Austin, TX or Redwood Shores, CA.

Maintain and improve our data pipelines to keep data flowing reliably from ingestion to delivery

Scalable, durable data ingestion and processing pipelines (event-driven, fault-tolerant workflows; retries, idempotency, backfills, and DLQs)

Own data quality by implementing monitoring, alerting, and validation

Design MongoDB schemas and query/index strategies for scale (aggregation pipelines, Atlas Search/vector search where relevant)

JSON-RPC data layer service that powers GraphQL (designing/maintaining RPC methods, scaling throughput/latency, and evolving contracts safely)

Support AI-adjacent platform needs (embedding generation workflows, provider abstractions, prompt/model metadata, evaluation hooks)

Own backend services end-to-end, from design and implementation through deployment and production support

Deliver scalable GraphQL resolvers with performance-aware patterns (batching, caching, pagination)

Build and evolve the JSON-RPC data access layer for GraphQL, including method design, backward compatibility, and performance tuning.

Own MongoDB performance: modeling, indexing, aggregation pipelines, and measurable latency/throughput targets

Build reliable serverless/event-driven components (idempotency, retries, DLQs, backpressure, rate limiting)

Improve reliability and operational readiness (SLO-minded engineering, incident response hygiene, runbooks)

Partner closely with frontend, product, and UX to enable features cleanly and safely

Drive code quality via testing, reviews, and CI/CD improvements

Mentor engineers and influence engineering standards across the team

Experience building and maintaining backend services in production

Strong experience with GraphQL APIs (schema design, resolver patterns, authorization, performance)

Strong experience with MongoDB (data modeling, indexing, aggregation pipelines; Atlas Search and Vector Search, sharding experience is a plus)

Strong proficiency with Node.js and JavaScript / TypeScript

Strong proficiency with Python (services, jobs, data processing, or tooling)

Experience building on AWS, preferably serverless/event-driven architectures (Lambda, SQS/SNS/EventBridge, S3)

Experience working with high-traffic or business-critical systems

Solid understanding of performance optimization techniques (caching, async processing, data access patterns)

Experience with Terraform for production infrastructure (IAM, networking, secrets, repeatable environments)

The permanent salary range is $156K-$208K based on location, skills and experience.