Cybersecurity Engineer, Workday
$124-186k
More information about location
Office located in Boulder, CO
Enterprise AI platform for managing HR and finance
Be an early applicant
Enterprise AI platform for managing HR and finance
1001+ employees
Be an early applicant
$124-186k
More information about location
Office located in Boulder, CO
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- 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'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
- 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) - so you can build for security outcomes, not just infrastructure ones
- Comfortable owning on-call and operational readiness (runbooks, alarms, SLOs) for services you deliver
- 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
What the job involves
- 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
- 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
- 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
- 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
Application process
- End Date: August 14, 2026
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
The company has also grown through acquisitions and partnerships to broaden its capabilities.. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.
Through a combination of strategic acquisitions and in-house development, WOrkday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(Co-Founder & Executive Chair)Annel began his career at Morgan Stanley as a Corporate Finance Analyst. He then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005, where he has served as the CEO ever since.
Carl Eschenbach
(CEO)Carl joined Workday in 2022 as Co-CEO, becoming CEO in 2024. He has also been a Partner at Sequoia Capital since 2016. Previously, he spent 14 years at VMware as President and COO and 3 years at Inktomi Corporation as the VP of North America Sales.
Peter Bailis
(CTO)Prior to joining Workday in 2025, People was a VP of Engineering at Google. He also previously founded Sisu Data, where he served as the CEO for over 5 years.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 98 more jobs at Workday