2 дня назад
Senior DevSecOps & Platform Engineering Lead (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior DevSecOps & Platform Engineering Lead (AI): Building and operating CI/CD, infrastructure automation, observability, security controls, and AI-enabled workflows for a federal modernization platform spanning legacy systems and a Salesforce-centered government cloud environment, with an accent on zero-downtime releases, production reliability, and federal security constraints. Focus on leading engineers while designing delivery architecture, automating environments and remediation, diagnosing incidents, and managing the transition from legacy platforms to modern services.
Location: Fully remote within the United States; candidates must be U.S.-based
Company
Woman-owned delivers federal and commercial housing finance technology, with teams supporting federal housing programs and modernization initiatives.
What you will do
- Lead the DevSecOps and platform engineering ecosystem for a federal modernization program supporting a home loan benefit.
- Design and operate CI/CD pipelines across multiple applications, technology stacks, and environments, targeting builds, tests, and deployments in under an hour.
- Build zero-downtime release automation, infrastructure-as-code environments, observability, automated security gates, and vulnerability remediation workflows.
- Own production reliability, incident and problem management, root-cause analysis, capacity planning, performance management, and disaster recovery for 24/7 systems.
- Support the transition from a stable legacy platform to a Salesforce-centered modern cloud platform with serverless government-cloud capabilities.
- Lead, mentor, and grow engineers while establishing engineering standards, metrics, and AI-enabled workflows that reduce manual work.
Requirements
- Deep hands-on experience designing and operating DevSecOps, CI/CD, infrastructure-as-code, and deployment automation for production systems across multiple stacks.
- Experience engineering in a regulated federal environment, including authorizations to operate, federal security controls, vulnerability remediation SLAs, and mandated tooling.
- Production ownership covering availability, incident response, root-cause analysis, reliability, and security engineering.
- Demonstrated use of AI tools such as Claude Code, Cursor, or GitHub Copilot in daily engineering workflows, with sound judgment regarding security, privacy, data, and authorization boundaries.
- Direct technical leadership experience, including architecture decisions, code review, mentoring, and communication with customers and non-technical stakeholders.
- Must be able to obtain and maintain a federal Public Trust clearance; Secret clearance is not required.
Nice to have
- Salesforce or Copado pipeline experience.
- Government cloud, Splunk, or enterprise monitoring integration experience.
- Experience with authorization packages, POA&M management, Zero Trust initiatives, legacy decommissioning, or dual-stack transitions.
Culture & Benefits
- Full-time W-2 employment with a permanently fully remote U.S.-based arrangement.
- Direct access to federal customers and decision-makers, with visible responsibility for deployment, reliability, and security outcomes.
- Authority to establish engineering practices and standards for a major federal modernization program.
- AI-native engineering practices with funded ongoing AI education and development.
- Mission-driven work supporting systems connected to a home loan benefit for people who served the country.
Hiring process
- Discussion focuses on evidence of what was built, automated, improved, and repaired in production.
- Expect questions about technical decisions, incidents, automation, AI-enabled engineering, and measurable outcomes.
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