Senior/Staff Full Stack Engineer
About Ethos Ethos is on a mission to bridge the human readiness gap by transforming how training is developed, consumed, and aligned with strategic business outcomes. As a well-funded Series A startup ($40M+ raised), we’re a trusted partner to 150+ enterprise customers across the U.S. military, life sciences, manufacturing, supply chain, and professional sports. We’re expanding our engineering team to deliver a best-in-class learning platform—smarter, faster, and more optimized. We’ve gone all-in on AI tooling in our development process, and we’re accepting and expanding upon the best new practices for creating software in this era.
About the Role
This is a backend-leaning full stack role. You'll work across our Go backend services and React/TypeScript frontend, to continue modernizing our platform in an AI-friendly architecture. We're looking for engineers who treat AI tools as integral to their workflow, and as force multipliers that fundamentally change how software gets built. As a Senior engineer, you'll own end-to-end feature delivery across the stack and shape architecture. As a Staff engineer, you'll also be a key leader on our team, guiding others and driving technical strategy. If you love hard systems problems, can operate confidently across backend and frontend, and embrace AI-augmented development as the way forward, this role is for you. What You’ll Do Full-Stack Feature Delivery: Build end-to-end features spanning Go services and React/TypeScript UI; own features from requirements through deployment and post-release iteration. AI-Augmented Development: Use AI coding tools (Claude Code, Cursor, Copilot, etc.) as daily workflow tools; build and improve agentic workflows and AI-powered product features. Performance & Reliability: Improve latency/throughput; apply caching, connection pooling, rate limiting, backpressure, idempotency, and resilient retries. Quality by Default: Raise the bar on testing (unit/integration/e2e), code quality, observability hooks, and safe rollout/rollback patterns. Technical Leadership: Lead design reviews, mentor teammates, and drive consistent standards. Measures of Success (First 6–12 Months) AI Workflow Adoption: Demonstrate measurable productivity gains through personal use of AI tooling; contribute to team AI practices and agentic workflow patterns. Delivery: Increase feature throughput and deployment frequency without raising change failure rate. 30/60/90 Day Plan First 30 Days — Map & Baseline Land first improvements (bug fixes, hotspots, small perf wins). Establish and prove the effectiveness of your personal workflow with AI tooling. 60 Days — Design & Deliver Deliver an entire feature end-to-end that includes frontend improvements integrated with backend services. Introduce or improve resilience patterns: timeouts, circuit breakers, idempotency, DLQs and data-migrations. 90 Days — Scale & Standardize Drive sustained performance gains (caching, query optimization, parallelism) and lower cost per request. (Staff) Contribute to the 12–18 month technical roadmap (service map, shared libs, data/event strategy, AI integration patterns). Basic Qualifications 5+ years building enterprise-scale software systems with full-stack experience. Active, fluent use of AI development tools as part of your daily workflow. Strong Go skills (or deep experience with another typed backend language, and ability to ramp quickly in Go). Proficiency with React/TypeScript or equivalent modern frontend framework. Strong API design skills (REST/gRPC). Product-mindful: translate user stories into technical plans and make pragmatic trade-offs. Demonstrated excellence in system design, testing strategy, CI/CD, and code quality. Clear communication and collaboration across engineering and product. Comfortable in a startup environment—ownership, autonomy, and bias for delivery.
Preferred Qualifications
Experience building or contributing to agentic workflows, AI-powered features, or LLM integrations (RAG, agents, model-driven pipelines) with attention to cost, latency, and safety/guardrails. Comfort working across the full stack—you don't draw hard lines between "frontend" and "backend." Deployed Go services with Docker and Kubernetes (Helm; Argo CD/Flux); blue-green/canary rollouts. Strong observability chops (OpenTelemetry, Prometheus/Grafana, Datadog) and performance profiling at scale. Tooling you might touch We use technologies similar to and including some of these to build our products: AI development tools (Claude Code, Cursor, GitHub Copilot), Go, gRPC/REST; PostgreSQL; Redis; RabbitMQ; Grafana; GitHub Actions; Docker, Kubernetes; OAuth/OIDC; S3/object storage; React/TypeScript/Expo Compensation & Benefits Competitive base salary (Senior: $150k-$190k; Staff: $170k-210k) based on location and experience with significant equity upside Subsidized health insurance, 401(k), life insurance, and cell phone stipend. Remote-first culture with up to 10% travel for offsites. Work eligibility: Applicants must be authorized to work in the U.S. One Final Note We’re committed to building a diverse, inclusive, and authentic workplace. If you’re excited about this role but your experience doesn’t perfectly align with every qualification, please apply—you may be just the right candidate. EEO & accommodations: Ethos is an Equal Opportunity Employer. We welcome applicants of all backgrounds and provide reasonable accommodations throughout the hiring process. Apply To This Job