Software Engineer, Quality & Automation
Fieldguide · Remote · San Francisco, CA or Remote (USA) ·
COMPENSATION
$130k – $240k
Listed on the employer's job board (Ashby)
- Fully remote (US)
- AI-native workflow
- SaaS & PaaS focus
- Customer-facing role
- Equity included
Fieldguide automates assurance and audit work for cybersecurity and financial sectors. This role centers on using AI agents to handle repetitive quality tasks, from bug triage to resolution, ensuring consistent behavior across SaaS and PaaS environments.
You will collaborate directly with enterprise customers and internal engineering teams to improve automated testing, reduce configuration drift, and establish trust in release quality. The position involves shipping fixes directly rather than just filing tickets.
What you'll do
- Maintain consistency across SaaS and PaaS deployments to prevent configuration drift
- Build automation for bug triage, reproduction, and routing using agentic tooling
- Resolve bugs directly by shipping code fixes instead of creating tickets
- Conduct repeatable bug bashes on new features before release
- Own bug reporting metrics, including severity trends and quality hotspots
- Collaborate with customers to improve issue reporting and validation processes
- Enhance internal automated testing coverage and reduce CI flakiness
- Curate datasets to support agent quality evaluation efforts
What you'll need
- Production software engineering experience with a focus on shipping code
- Hands-on experience building reliable test automation and CI quality gates
- Practical use of AI or agentic tooling in daily work workflows
- Experience working directly with enterprise customers on critical issues
- Ability to operate effectively in ambiguous environments without defined queues
- Comfort working across application code, CI, and deployment environments
Nice to have
- Proficiency in Python, TypeScript, React, Postgres, Hasura, or GraphQL
- Experience with E2E frameworks like Playwright or Cypress
- Background in multi-tenant SaaS and self-managed enterprise deployments
- Infrastructure knowledge including AWS, Kubernetes, or Terraform
- Familiarity with observability tools such as Datadog
- Experience building agentic workflows or internal LLM tooling
- Knowledge of security compliance standards like SOC 2 or FedRAMP
Stack
- Python
- TypeScript
- React
- Postgres
- Hasura
- GraphQL
- Playwright
- Cypress
- AWS
- Kubernetes
- Terraform
- Datadog
How you'll work
- Fully remote position
- Twice-yearly in-person offsites in the US
- Flexible work schedules and time off
What you get
- Competitive compensation with equity
- Comprehensive health and wellness benefits
- Technology reimbursements
- 401(k) plan
- Wellness benefits starting on day one