Automation Engineer

Actalent; Bellevue (WA); Remote; USD 96,000 - 103,000; Full time

Benefits offered by this job

Medical, dental & vision

401(k) retirement plan

Life Insurance

Disability insurance

HSA

Transportation benefits

EAP

PTO

Job summary

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.

Responsibilities

• 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.

Skills

Python

TypeScript

API Integrations

CI/CD

AWS

IAM

LLM integration

Documentation

Testing

Security/Compliance

Tools

Okta

Entra

Jira

GitHub

Google Workspace

REST APIs

Docker

Kubernetes

Job description

Job Title: Automation Engineer Job Description
This role focuses on designing, building, and maintaining automated evidence collection and control-testing pipelines that integrate with cloud, identity, endpoint, ticketing, and source control systems. You will codify control requirements as executable tests, normalize complex data into consistent schemas, and ensure that evidence and control results flow reliably into an internal compliance and controls platform. The position also involves hardening AI-assisted workflows, collaborating directly within an existing production codebase, and documenting your work so that internal teams can maintain and extend it after the engagement.

Responsibilities

• 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.

Essential Skills

• At least 5 years of software or automation engineering experience building and shipping production code.
• Strong proficiency with Python and TypeScript for production software engineering, including API integrations and automation.
• Hands‑on experience with API development, including working with webhooks, authentication mechanisms, and automated testing.
• Cloud and identity and access management (IAM) experience, preferably with AWS, including working with cloud APIs and infrastructure or configuration tooling.
• Experience building SaaS and system integrations with tools such as Okta, Entra, Jira, GitHub, Google Workspace, or similar platforms.
• ETL and data pipeline experience, including pulling, normalizing, mapping, and tracking data between systems.
• Comfort working in an existing production codebase, including familiarity with CI/CD pipelines and test automation.
• Production large language model (LLM) integration experience, including designing structured outputs and implementing evaluation and regression testing for AI-assisted workflows.
• Proficiency with tools and workflows related to CI/CD and automated quality assurance.
• Strong technical documentation and written communication skills, with the ability to clearly explain integration designs, data models, and control logic.

Additional Skills & Qualifications

• Knowledge of security and compliance frameworks such as SOC 2, FedRAMP, HIPAA, or similar standards.
• Experience with compliance automation tools such as Vanta, Drata, or other comparable platforms.
• Experience working with modern LLM APIs, including providers such as Anthropic or similar, and familiarity with prompt engineering and tool use.
• Experience building internal or administrative tools that support operations, compliance, or engineering workflows.
• Familiarity with containers, CI/CD tooling, and test automation practices.
• Experience working with AI assistants or related technologies to support automation and workflow optimization.

Work Environment

This is a fully remote, 12-month contract role based in the United States. You will work in a modern engineering environment that relies on cloud platforms, CI/CD pipelines, and production monitoring tools to support high reliability and rapid iteration. The work involves close collaboration with an internal engineering team and requires regular use of your own laptop and development tooling. You will operate in a distributed setting, using remote collaboration tools for communication, code review, and documentation, while contributing to production systems that support compliance, evidence management, and AI‑assisted workflows.

Job Type & Location

This is a Contract position based out of Bellevue, WA.

Pay and Benefits

The pay range for this position is $70.00 - $75.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan Pre‑tax and Roth post‑tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long‑term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Application Deadline

This position is anticipated to close on Oct 13, 2026.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email [e-mail] for other accommodation options.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI)

We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.