Back End Developer

Senior Backend Engineer (TypeScript/Node.js) - Location Denver, CO - Onsite

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 full

lifecycle of backend services: from design and development through production reliability. In an era where AI can

generate code, we value engineers who think critically, anticipate problems, and drive systems forward.

Responsibilities

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.