- Location
- Remote
- Workplace
- Remote
- Department
- Engineering
- Seniority
- Senior
- Visa
- Not sponsored
- Source
- Greenhouse
Description
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-170k; Staff: $170k-195k) 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.
