This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior DevSecOps & Platform Engineering Lead based in the United States.
This is a senior player-coach opportunity leading DevSecOps and platform engineering for a major federal modernization program.
You’ll shape the engineering system behind a 24/7 platform spanning legacy and modern cloud-based technologies.
The role combines hands-on architecture, CI/CD automation, infrastructure as code, security engineering, observability, and production reliability.
You’ll have meaningful ownership over how software moves from development to production while operating within federal security and compliance requirements.
A major focus is building AI-enabled engineering workflows that reduce manual effort and improve developer productivity and system reliability.
You’ll also lead, mentor, and grow engineers while working directly with federal stakeholders and technical decision-makers.
This is an opportunity to deliver measurable improvements to systems supporting a mission with significant public impact.
Accountabilities
- Lead the planning, architecture, implementation, and continuous improvement of the DevSecOps and platform engineering ecosystem across multiple applications, technology stacks, and environments.
- Design and operate CI/CD pipelines that enable fast, reliable movement from code commit through testing and production, minimizing manual intervention.
- Build and maintain zero-downtime deployment and rollback capabilities with automated production verification.
- Implement infrastructure and environments as code to automate provisioning, reduce configuration drift, and accelerate environment creation and teardown.
- Embed security and quality controls directly into engineering workflows, including automated scanning, vulnerability detection, remediation tracking, and authorization evidence generation.
- Support federal security requirements, including vulnerability remediation timelines, Authority to Operate activities, Zero Trust alignment, and applicable controls and tooling.
- Develop comprehensive observability across infrastructure, applications, interfaces, batch processes, and end-to-end business transactions, enabling rapid detection, diagnosis, and resolution of incidents.
- Own production reliability activities, including incident and problem management, root-cause analysis, capacity and performance management, disaster recovery, and reduction of change-related incidents.
- Support the transition from legacy systems to modern platforms while maintaining stability, security, authorization, and reliable data integration during the dual-stack period.
- Establish engineering metrics covering build times, deployment frequency, escaped defects, engineering toil, and other indicators of platform effectiveness, using the data to drive continuous improvement.
- Translate business and customer needs into technical solutions, delivery plans, and measurable engineering outcomes.
- Lead the adoption of AI-enabled engineering workflows for infrastructure development, scripting, pipeline diagnostics, testing, log analysis, documentation, vulnerability analysis, developer self-service, and automated remediation.
- Apply sound human judgment when using AI, ensuring generated outputs meet security, privacy, quality, and federal authorization requirements.
- Lead, mentor, hire, and develop engineers while establishing technical standards and creating a culture of ownership, continuous learning, and high-quality execution.
- Represent platform engineering in cross-functional and customer discussions, clearly communicating technical decisions, risks, trade-offs, progress, and recommendations.
- Work directly with federal stakeholders and decision-makers, respectfully challenging technical direction when appropriate and supporting recommendations with evidence.
- Identify ambiguous problems, make informed decisions, document the rationale, and remain accountable for outcomes.
- Deep hands-on experience in DevSecOps and platform engineering, including production CI/CD, infrastructure as code, deployment automation, and engineering across multiple technology stacks.
- Demonstrated experience operating production systems where availability, incident response, reliability, and root-cause analysis are critical.
- Experience engineering within a regulated federal environment, with an understanding of Authority to Operate processes, federal security controls, vulnerability remediation SLAs, and required government tooling.
- Strong understanding of security as an engineering discipline, with experience integrating security controls, automated scanning, compliance evidence, and remediation into development and delivery workflows.
- Demonstrated practical use of AI-assisted engineering tools, such as Claude Code, Cursor, GitHub Copilot, or comparable technologies, as part of everyday engineering workflows.
- Ability to identify appropriate opportunities for AI and automation while understanding security, data, privacy, and authorization boundaries in federal environments.
- Proven technical leadership experience, including direct leadership, mentoring, coaching, architecture ownership, code review, and setting engineering standards.
- Strong ability to explain complex technical concepts and trade-offs clearly to non-technical stakeholders, customers, and senior decision-makers.
- Excellent analytical and problem-solving skills, with the ability to investigate issues, identify systemic causes, and make decisions when requirements are incomplete.
- Strong communication, collaboration, and stakeholder-management skills, combined with the confidence to challenge technical decisions constructively.
- Salesforce platform or Copado pipeline experience is helpful but not required; strong platform engineers should be able to learn the application-specific components quickly.
- Experience with government cloud environments, Splunk, enterprise monitoring integrations, authorization packages, POA&M management, or Zero Trust initiatives is advantageous.
- Experience with legacy-system decommissioning or dual-stack modernization programs is a plus.
- Mortgage or housing finance experience is not required.
- A degree is not required; demonstrated technical capability and evidence of impact are prioritized over formal credentials or specific year counts.
- Must be based in the United States and able to obtain and maintain a required federal Public Trust clearance; a Secret clearance is not required.
- Must be comfortable working as a hands-on player-coach, balancing people leadership with architecture, engineering, production support, and technical decision-making.
- Base salary: $180,000-$210,000 USD annually, based on experience and demonstrated capability.
- Full-time W-2 employment with a permanent, fully remote U.S.-based work arrangement.
- 100% employer-paid medical insurance.
- Opportunity to work on a high-impact federal modernization program with measurable reliability, security, and delivery outcomes.
- Direct access to federal customers and decision-makers, with meaningful influence over technical strategy and engineering standards.
- Opportunity to establish and evolve DevSecOps and platform engineering practices rather than simply maintain an inherited environment.
- AI-focused professional development, with investment in ongoing AI education and engineering capability building.
- Hands-on exposure to modern cloud platforms, automation, observability, security engineering, legacy modernization, and AI-enabled workflows.
- Mission-driven work supporting technology that enables a federal home loan benefit serving people who have served the country.

