Job Description
We are seeking a Delivery Engineer to own and evolve the end-to-end engineering feedback loop—connecting development, testing, deployment, and production signals into a continuously improving system.
This role goes beyond traditional QA or DevOps. You will design and operate the systems that determine how safely, quickly, and reliably we deliver software, while ensuring that every production signal feeds back into better engineering decisions.
The ideal candidate is a systems thinker who understands that quality is not a phase—it is an emergent property of a well-designed delivery system.
Responsibilities
Engineering Feedback Loop Ownership
- Design, own, and evolve the end-to-end software delivery system
- Ensure production signals (failures, latency, usage patterns) are continuously fed back into development and testing practices
- Establish systems that improve both speed (velocity) and safety (reliability)
Delivery and Release Strategy
Design and implement progressive delivery strategies:
- Feature flags
- Canary releases
- Rolling/segmented deployments
Define and enforce risk-based release practices
Continuously reduce change failure rate while increasing deployment frequency
CI/CD and Automation
- Own and evolve CI/CD pipelines (GitHub Actions, AWS)
- Build intelligent automation that prioritizes signal quality over volume
- Optimize pipelines for speed, reliability, and developer experience
Quality Engineering
- Build and maintain automated testing systems (Playwright, API, integration)
- Shift quality left (pre-merge validation, static analysis) and right (production validation)
- Ensure tests reflect real-world failure modes, not just happy paths
Observability and Production Intelligence
- Implement and evolve observability systems (New Relic or equivalent)
- Identify failure patterns, regressions, and performance anomalies
- Turn production data into actionable engineering insights, not just dashboards
- Reduce Mean Time to Recovery (MTTR) through improved detection and response systems
Metrics and Continuous Improvement
Define, track, and improve key delivery metrics:
Deployment Frequency
Lead Time for Changes
Change Failure Rate
Mean Time to Recovery (MTTR)
Use metrics to drive system-level improvements, not vanity reporting
AI-Assisted Engineering(Core Responsibility)
Lead adoption of AI-assisted engineering practices across:
Test generation
CI/CD optimization
Failure triage and debugging
Improve the signal-to-noise ratio of engineering feedback loops using AI
Partner with engineering teams to integrate AI into daily workflows
Cross Team Influence
Define and standardize quality, reliability, and delivery practices across teams
Partner with QA, SRE, and product engineering to elevate system-wide outcomes
Act as a force multiplier, improving how all engineers ship software
Strong understanding of software delivery systems and failure modes
Hands-on experience with:
- CI/CD systems (GitHub Actions or equivalent)
- Automated testing frameworks (Playwright)
- Cloud environments (AWS preferred)
Experience improving reliability in production systems
Familiarity with observability platforms (New Relic)
Proficiency in one or more languages (JavaScript/TypeScript, PHP/Laravel, Python)
Solid understanding of shift left engineering and agile techniques
Preferred Qualifications
- Experience with progressive delivery techniques (feature flags, canary releases)
- Experience operating in high-scale SaaS environments
- Solid understanding of AI-assisted development tools (e.g., Claude, Copilot, Cursor)
- Experience designing systems that optimize DORA metrics
- Experience working with large-scale enterprise clients and delivering secure, high-availability solutions.
What Success Looks Like
- Engineers ship faster with fewer failures
- Production issues are detected earlier and resolved faster
- CI/CD pipelines provide high-confidence signals
- Every incident results in measurable system improvement
- AI meaningfully improves engineering productivity and quality
- The organization develops a culture of continuous improvement driven by feedback loops
Team Collaboration
This role works across engineering, partnering with:
- Software Engineering teams
- QA Engineering
- Systems Engineering (DevOps and Infrastructure)
- Engineering Leadership
- Customer Services
- Product Management
Base salary range: $140,000 - $160,000
FormAssembly is a completely remote/distributed team. We thrive through digital communication, and work to connect numerous times a day. Our culture is vibrant, fun, and unique! Read more about it here. Some of our benefits include:
- Health benefits (health, dental, vision) for Team Members based in the United States
- Mental Health benefits with SpringHealth
- 401(k) with 4% company match
- Unlimited PTO (with a required minimum use of 2 weeks per year) for Salaried/Exempt staff, or 4 weeks of paid vacation for hourly/non-exempt employees.
- 9 paid company holidays
- Flexible work schedule; work from anywhere!
- Generous Paid parental leave (up to 16 weeks)
- Charitable contribution match
- Budget for professional development
- Company provided Mac laptop
You’ll be joining a talented and fun team, working together to build something great!
