обновлено 1 день назад
Cybersecurity Engineer (AI)
130 200 - 195 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Cybersecurity Engineer (AI): Building reliable infrastructure, automation, data pipelines, and cross-tool integrations for Workday's Active Defense cybersecurity platform with an accent on AWS, Terraform, CI/CD, and security data engineering. Focus on designing scalable security automations, hardening cloud delivery, integrating SIEM/SOAR/EDR tools, and applying AI-augmented engineering workflows.
Location: Reston, Virginia, USA; hybrid work with at least 50% of each quarter spent in the office or in the field
Salary: $130,200–$195,400 USD annual base pay for Reston; additional US location ranges and Colorado-specific ranges may apply.
Company
is a Fortune 500 company providing an AI platform for managing people, money, and business operations.
What you will do
- Own the infrastructure-as-code and platform foundation supporting security data and automation services.
- Design, build, and operate scalable automations and data pipelines for ingesting, transforming, and routing security data.
- Extend CI/CD and cloud-security capabilities so services are deployable, observable, and secure by default.
- Turn partner requests into proposals, designs, production rollouts, and operationally ready services.
- Build integrations across SOAR, SIEM, EDR, vulnerability scanners, ticketing systems, and enterprise platforms.
- Improve AI-augmented engineering practices through reusable scaffolds, shared skills, and code-review discipline.
Requirements
- Strong Python skills with production automation and integration experience, including APIs, Lambdas, batch jobs, testing, and code review.
- Deep hands-on experience with Terraform infrastructure-as-code and CI/CD tools such as Jenkins or GitHub Actions.
- Working fluency across AWS services including Lambda, ECS, S3, IAM, KMS, VPC, and at least one compute service such as EMR, Batch, Glue, or EKS.
- Experience with Docker, modern deployment patterns, observability, operational readiness, runbooks, alarms, and SLOs.
- Working knowledge of identity and access management, secrets and key management, secure cloud configuration, vulnerabilities, incidents, identity data, and threat intelligence.
- Hybrid work requires at least 50% of each quarter in the office or in the field.
Nice to have
- Experience with SIEM, vulnerability scanners, identity systems, cloud security posture, secrets management, and security orchestration platforms.
- Experience building reusable Terraform modules, internal libraries, developer tooling, Slack bots, or Jira, PagerDuty, and ServiceNow integrations.
- Knowledge of Spark, Trino, Hive, S3 data lakes, SQL, shared schemas, and data contracts.
- Hands-on experience with Copilot, coding agents, LLM-based code review, agent frameworks, tracing, observability, or offline evaluation.
Culture & Benefits
- Work in a small, high-impact Security Automation & Integration Engineering team.
- Collaborate with security leadership, operational teams, engineering teams, and governance and risk teams.
- Flexible work combines office, field, and remote time, with opportunities for remote home-office employees to meet in company offices.
- Potential eligibility for a bonus plan or role-specific bonus and annual refresh stock grants.
- provides comprehensive benefits and reasonable accommodations during the application process.
Hiring process
- The application deadline is September 25, 2026.
- Recruiters can provide additional compensation details during the hiring process.
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