Backend Engineer, Policy & Reliability Automation

Legiguard; Boston (MA); On-site; USD 120,000 - 170,000; Full time

Job summary

Legiguard is seeking an engineer to design policy evaluation pipelines and integrate with GitHub/GitLab apps, webhooks, and CI systems. You’ll develop secrets/PII detection with tunable policies and verifiable outputs while providing safe auto-remediation and developer feedback.

You will own reliability SLIs/SLOs, instrument metrics, and contribute to runbooks and changelogs. Collaboration with design will ensure clear, humane error messages across UI surfaces.

Qualifications

• Strong experience in building reliable services with Go or Python.
• Experience with gRPC/HTTP APIs and asynchronous/job processing.
• Knowledge of CI/CD tooling and containerization (Docker).
• Familiarity with policy tooling (OPA/Rego) or secure coding practices.

Responsibilities

• Design robust policy evaluation pipelines with clear failure modes and retries.
• Integrate with GitHub/GitLab apps, webhooks, and CI providers to enforce checks.
• Develop secrets/PII detection with tunable policies and verifiable output.
• Provide safe auto-remediation options and actionable feedback to developers.
• Own SLIs/SLOs for latency and reliability; add metrics/tracing where relevant.
• Publish changelogs and runbooks to simplify operations.
• Collaborate with design on humane error messages and UI surfaces.

Skills

Go or Python experience

gRPC/HTTP APIs

Background jobs

Idempotent processing

Security/policy experience

Observability mindset

Clear writing

Tools

Docker

CI/CD tooling

GitHub/GitLab apps

Checks API

Job description

Legiguard is seeking an engineer to design policy evaluation pipelines and integrate with GitHub/GitLab apps, webhooks, and CI systems. You’ll develop secrets/PII detection with tunable policies and verifiable outputs while providing safe auto-remediation and developer feedback.

You will own reliability SLIs/SLOs, instrument metrics, and contribute to runbooks and changelogs. Collaboration with design will ensure clear, humane error messages across UI surfaces.