×
Register Here to Apply for Jobs or Post Jobs. X

Cybersecurity Engineer

Job in Boulder, Boulder County, Colorado, 80301, USA
Listing for: Workday
Full Time position
Listed on 2026-07-25
Job specializations:
  • Software Development
    DevOps, AI Engineer (Applied/Software), AWS
Salary/Wage Range or Industry Benchmark: 124000 - 186000 USD Yearly USD 124000.00 186000.00 YEAR
Job Description & How to Apply Below

About The Team

Security Automation & Integration Engineering (SecAIE) transforms cybersecurity operations by architecting intelligent automation that turns manual processes into scalable, decision‑accelerating systems. We partner with Security Leadership, Operational Teams, Engineering Teams, and Governance/Risk Teams to deliver platforms that multiply their effectiveness and contribute directly to Workday’s Active Defense pivot.

About

The Role

We’re looking for a Cybersecurity Engineer to own the infrastructure, automation, and platform reliability that powers Workday’s Active Defense charter. You’ll engineer reusable data pipelines, cloud infrastructure, CI/CD, and cross‑tool integrations that underpin AI‑driven security execution and decision‑making.

Responsibilities
  • Own the infrastructure‑as‑code and platform substrate that our security data and automation services run on – from tuning existing services to launching new modules and multi‑environment rollouts.
  • Design, build, and operate automations and data pipelines that ingest, transform, and route security data reliably at scale.
  • Extend and harden our continuous delivery and cloud‑security posture so every service is deployable, observable, and secure by default.
  • Take partner requests from vague to shipped by scoping the problem, proposing solutions, selecting a path, and driving it through design, review, rollout, and operational readiness.
  • Build and maintain integrations across security tools and enterprise platforms – SOAR, SIEM, EDR, vulnerability scanners, ticketing – to accelerate response and reduce toil.
  • Elevate the team’s AI‑augmented engineering floor: shared skills, reusable scaffolds, and a review discipline for AI‑generated code.
  • Iterate quickly: prototype, test, ship, learn, improve – and bring the team along.
About You

You’re a curious engineer who owns problems rather than tickets. You thrive on ambiguous, messy asks and launch proposals that drive partner success. You default to automation over toil, shared components over copy‑paste, and reliable defaults over one‑off heroics. You use AI tooling deliberately and articulate where it accelerates you and where it does not. You communicate clearly, ask good questions, and genuinely enjoy collaborating across teams to solve hard problems.

Basic

Qualifications
  • Strong Python skills with hands‑on automation and integration experience (APIs, Lambdas, batch jobs, workflow glue), including code review, testing, and shipping to production.
  • Deep hands‑on experience with infrastructure‑as‑code (Terraform) and CI/CD (Jenkins, Git Hub Actions, or similar), including production ownership.
  • Working fluency across a broad AWS surface (Lambda, ECS, S3, IAM, KMS, VPC, and at least one compute service such as EMR, Batch, Glue, or EKS).
  • Experience with containerization (Docker) and modern deployment patterns.
  • Working knowledge of core cybersecurity practices – identity and access, secrets and key management, secure‑by‑default cloud configuration, and reasoning over common security data (vulnerabilities, incidents, identity, threat intel).
  • Comfortable owning on‑call and operational readiness (runbooks, alarms, SLOs) for services you deliver.
Other Qualifications
  • Security domain depth – hands‑on with security tools or data for triage and investigation (SIEM, vulnerability scanners, identity systems, cloud security posture, secrets management).
  • Dev Ops / platform depth – contributing to shared platform components (reusable Terraform modules, internal libraries, developer tooling) and observability tooling (metrics, logs, traces).
  • Data engineering depth – distributed data technologies (Spark, Trino, Hive, S3‑as‑datalake) and SQL; comfort reasoning about shared schemas across team boundaries.
  • AI‑augmented engineering depth – hands‑on use of AI‑augmented development workflows (Copilot, coding agents, LLM‑driven code review, agentic pipelines) and contribution to LLM‑based systems moving toward production.
  • Comfort operating in ambiguous problem spaces where you help define the solution, not just implement it.
Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional…

To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary