Staff Software Engineer – AI-Native Development
New
S
SimSpaceCybersecurity software
Remote - U.S.Full-TimeStaff
SalaryBase salary range: $180,000 - $260,000; $185K - $260K; offers equity; offers bonus.
Apply NowOpens the employer's application page
Job Details
- Experience
- 8+ years of professional software engineering experience
- Required Skills
- KotlinTypeScriptReactCI/CD
Requirements
- Have 8+ years of professional software engineering experience.
- Have a track record of leading technical projects end to end across teams.
- Use AI coding agents daily and be able to explain how they have changed your and your teams' delivery.
- Be familiar with spec-driven development using AI agents, including writing specs, plans, and acceptance criteria.
- Have demonstrated ability to set and raise engineering standards adopted by multiple teams.
- Have experience driving shared initiatives to completion with Product, QA, platform teams, and engineers across teams.
- Bring deep, hands-on software engineering expertise; TypeScript, React, or Kotlin experience is preferred.
- Be able to set architectural direction, make technical decisions, and critically review AI-generated code.
- Have strong written and verbal communication skills, including explaining trade-offs to non-engineering partners.
- Preferred: experience building headless coding agents for CI/CD pipelines, event triggers, or background workers.
- Preferred: experience improving end-to-end testing in CI/CD and making test suites fast, reliable, and trusted release gates.
- Preferred: experience with trunk-based development, feature flags, progressive delivery, and fast rollback.
Responsibilities
- Define and model standards for specifying work, directing AI agents, and reviewing, testing, and owning AI-generated code.
- Write specs, plans, and acceptance criteria, and help teams adopt spec-driven development.
- Create standards, playbooks, templates, documentation, examples, and internal talks for AI-native workflows.
- Evaluate emerging AI tools and workflows, adopting those that improve delivery and retiring those that do not.
- Lead complex cross-team initiatives from problem framing and specification through architecture, delivery, and rollout.
- Build alignment across Product, Engineering, QA, and platform teams, and resolve technical dependencies.
- Drive end-to-end testing maturity in CI/CD and help teams ship small changes frequently with trusted quality gates.
- Identify and build or adopt AI agents, including headless agents in CI/CD or on event triggers, with guardrails.
- Own team technical direction and execution in partnership with the Engineering Manager, and break large efforts into incremental deliverables.
- Mentor engineers through code reviews, pairing, and design walkthroughs.
View Full Description & ApplyYou'll be redirected to the employer's site
