Target Workday Jobs in Virginia (NOW HIRING)

About the Role

We’re looking for a Cybersecurity Engineer to join SecAIE and take primary ownership of the infrastructure, automation, and platform reliability that Workday’s Active Defense charter runs on. You’ll spend most of your time engineering the substrate – the reliable data pipelines, cloud infrastructure, CI/CD, and cross‑tool integrations – that turns security data into a dependable foundation for AI‑driven execution and decision‑making. This role is ideal for someone who loves turning messy operational problems into clean, self‑serve infrastructure, who can walk into an ambiguous ask and come back with a proposal, and who treats AI tooling as a force multiplier rather than a novelty.

Responsibilities

• Own the infrastructure‑as‑code and platform substrate that our security data and automation services run on – from tuning existing services to landing net‑new modules and multi‑environment rollouts
• Design, build, and operate the 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: scope the problem, propose approaches, choose one, and drive 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
• Raise 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 with you

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, GitHub 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); working knowledge of vulnerability data and workflows (scoring, prioritization, at least one scanner in practice); familiarity with security orchestration platforms as an integration target; curiosity about deception and adversary‑emulation tooling
• DevOps / platform depth – contributing to shared platform components (reusable Terraform modules, internal libraries, developer tooling); observability tooling (metrics, logs, traces) for services you own; building Slack bots, workflow automations, or enterprise tool integrations (Jira, PagerDuty, ServiceNow, etc.)
• Data engineering depth – distributed data technologies (Spark, Trino, Hive, S3‑as‑datalake) and SQL; comfort reasoning about shared schemas or data contracts that span team boundaries, treating what / who / state as a first‑class artifact rather than fields on a table
• AI‑augmented engineering depth – hands‑on use of AI‑augmented development workflows (Copilot, coding agents, LLM‑driven code review, agentic pipelines) with a point of view on where they help; experience contributing to LLM‑based systems moving toward production (agent frameworks, tracing and observability for agent runs, offline evaluation of prompts and tool calls)
• Comfort operating in ambiguous problem spaces where you help define the solution, not just implement it

Compensation

Primary Location: USA.VA.Reston

Base Pay Range: $130,200 USD – $195,400 USD

Additional US Location(s) Base Pay Range: $117,800 USD – $210,000 USD

Colorado: $124,000 – $186,000 USD

Equal Opportunity & EEO Statement

Workday is an Equal Opportunity Employer. Workday will consider for employment qualified applicants with arrest and conviction records. Workday is committed to providing reasonable accommodations for qualified individuals with disabilities, disabled veterans, and others during our application process.