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.
Requirements
- 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.
Benefits
- 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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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