1 day ago
Base Salary
$118k - $210k/yr
Responsibilities
- Own infrastructure-as-code, platform services, and multi-environment rollouts for security data and automation services.
- Design, build, and operate automations and data pipelines that ingest, transform, and route security data at scale.
- Extend continuous delivery and cloud-security practices so services are deployable, observable, and secure by default.
- Convert ambiguous partner requests into proposals, designs, shipped solutions, and operationally ready services.
- Build and maintain integrations across SOAR, SIEM, EDR, vulnerability scanners, ticketing systems, and enterprise platforms.
- Develop shared AI-augmented engineering skills, reusable scaffolds, and review practices for AI-generated code.
- Participate in on-call and operational readiness activities, including runbooks, alarms, and SLOs.
Requirements
- Strong Python skills with hands-on automation and integration experience, including APIs, Lambdas, batch jobs, workflow glue, code review, testing, and production delivery.
- Deep production experience with infrastructure-as-code using Terraform and CI/CD tools such as Jenkins or GitHub Actions.
- Working fluency with AWS services including Lambda, ECS, S3, IAM, KMS, VPC, and at least one of EMR, Batch, Glue, or EKS.
- Experience with Docker and modern deployment patterns.
- Working knowledge of identity and access, secrets and key management, secure-by-default cloud configuration, and common security data.
- Experience with security tools or data such as SIEM, vulnerability scanners, identity systems, cloud security posture, secrets management, and security orchestration platforms.
- Experience contributing to shared platform components, reusable Terraform modules, internal libraries, developer tooling, observability, Slack bots, workflow automations, or integrations with Jira, PagerDuty, or ServiceNow.
- Experience with distributed data technologies such as Spark, Trino, Hive, and S3 data lakes, plus SQL and cross-team data contracts.
- Hands-on experience with AI-augmented development workflows and familiarity with LLM-based systems, agent frameworks, agent-run observability, and offline evaluation.
- Ability to operate in ambiguous problem spaces, define solutions, communicate clearly, and collaborate across teams.
Benefits
- Flexible work arrangement combining remote and in-person work, with at least 50% of each quarter spent in the office or in the field.
- Potential eligibility for the Workday Bonus Plan or role-specific bonus and annual refresh stock grants.
- Workday comprehensive benefits package, reasonable accommodations, and equal employment opportunity protections.
About Workday
Workday builds cloud-based enterprise applications for human capital management and financial management, including payroll, time tracking, expenses, planning, and procurement, sold on a subscription basis with professional services. Founded in 2005 and headquartered in Pleasanton, California, it is a public company traded on NASDAQ as WDAY. Organizations worldwide use Workday to unify HR and finance data, automate processes, and apply AI to workforce and financial operations.