Cybersecurity Engineer

About this role

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

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're the engineering excellence partner within Cybersecurity and Trust - building the unified data foundation, intelligent automation, and decision support tools that enable security teams to make precise, data-driven decisions at machine speed.

We partner closely with Security Leadership, Operational Teams, Engineering Teams, and Governance/Risk Teams to deliver platforms that multiply their effectiveness. Our current charter contributes directly to Workday's Active Defense pivot - building the reliable data and platform substrate that lets security teams execute at machine speed and out-adapt AI-driven threats.

We're a small, high-impact team that values curiosity, pragmatism, and collaboration. We believe working solutions beat perfect designs, unified context beats massive datasets, and partner success is our success. Leveraging AI to augment how we do security engineering is an active opportunity for the team, and one we expect this role to help lean into. 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. You will bring working knowledge of cybersecurity concepts and best practices from day one - enough to reason about identity and access, secrets and key management, secure-by-default cloud configuration, and the shape of common security data (vulnerabilities, incidents, identity, threat intel). You will not be expected to be the deepest security specialist in the room; you will partner with domain experts across our security organization and build the plumbing that makes their work faster, more reliable, and more measurable.

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  

About You

You're a curious engineer who owns problems rather than tickets. You're drawn to ambiguous, messy asks and you enjoy learning a domain deeply enough to propose the right solution, not just implement one that was handed to you. You bring high agency: you can move a partner's rough problem statement to a shipped, operational answer without waiting to be told each next step. You're comfortable turning a partner's Slack thread into a written proposal, and comfortable when the answer to "whose ticket is this?" is "nobody's yet - I'll draft one." You know when to escalate and when to just close the loop yourself. You default to automation over toil, shared components over copy-paste, and reliable defaults over one-off heroics. You use AI tooling deliberately and can 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, GitHub Actions, or similar), including production ownership

• Working fluency

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