Remote AI-Driven Automation Engineer for Compliance

Actalent

Bellevue (WA)

À distance

USD 96 000 - 103 000

Plein temps

Il y a 12 jours
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Avantages offerts par ce poste

Medical, dental & vision
401(k) retirement plan
Life Insurance
Disability insurance
HSA
Transportation benefits
EAP
PTO

Résumé du poste

Actalent is seeking an Automation Engineer to design, build, and maintain automated evidence collection pipelines across cloud services, IAM, and tooling. You’ll translate control requirements into executable checks, normalize data, and ensure evidence flows into our compliance platform.

You will work in a production codebase with CI/CD and AI-assisted workflow hardening, documenting designs for ongoing maintenance.

Qualifications

  • 5+ years in software or automation engineering building production code.
  • Proficiency in Python and TypeScript for API integrations and automation.
  • Experience with API development and auth mechanisms.
  • Cloud/IAM experience, preferably AWS with cloud APIs.
  • Experience with SaaS integrations and tools like Okta/Entra, Jira, GitHub.

Responsabilités

  • Design and build automated evidence collection pipelines that integrate with APIs and event-driven systems across cloud platforms, identity providers, endpoints, ticketing systems, source control, and other tools, ensuring evidence flows into the platform's evidence management and controls modules with minimal manual handling.
  • Implement continuous control tests as code by translating control requirements into executable checks against source-system state, running them on schedules or change events, and surfacing pass/fail results and associated evidence artifacts back into the platform.
  • Engineer the evidence data layer by normalizing heterogeneous source data into consistent schemas, preserving provenance and timestamps for auditability, and handling pagination, rate limits, retries, and partial failures to keep pipelines robust and reliable.
  • Build and test features across internal applications from implementation through QA, working directly in the existing codebase within established patterns, code review processes, and CI/CD workflows.
  • Harden AI-assisted workflows such as questionnaire response generation, evidence-to-control mapping, and parity tracking by creating evaluation datasets, scoring rubrics, and regression checks, and by implementing guardrails, structured outputs, and fallbacks where accuracy is critical.
  • Instrument and monitor pipelines and automated workflows in production using logging, alerting, and dashboards to detect broken integrations, stale evidence, or output drift before they impact audits, customer responses, or compliance deadlines.
  • Document integration designs, data models, control-test logic, evaluation methodologies, and known limitations clearly and comprehensively so that the internal team can maintain, extend, and troubleshoot the work after the engagement.

Connaissances

Python
TypeScript
API Integrations
CI/CD
AWS
IAM
LLM integration
Documentation
Testing
Security/Compliance

Outils

Okta
Entra
Jira
GitHub
Google Workspace
REST APIs
Docker
Kubernetes

Description du poste

Actalent is seeking an Automation Engineer to design, build, and maintain automated evidence collection pipelines across cloud services, IAM, and tooling. You’ll translate control requirements into executable checks, normalize data, and ensure evidence flows into our compliance platform.

You will work in a production codebase with CI/CD and AI-assisted workflow hardening, documenting designs for ongoing maintenance.

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