Key responsibilities:

• Own and evolve the platform that orchestrates security scanning across applicable applications, surfaces findings as control checks, and enforces security standards through GitHub's policy engine.

• Lead the design, development, and implementation of cloud-native platform services on AWS, using services including IAM, ECS, Lambda, Step Functions, RDS, S3, and CloudFormation.

• Develop APIs, event-driven integrations, automation services, and CI/CD capabilities that make security testing reliable at scale and easy for developers to adopt.

• Maintain the reliability of the orchestration platform as adoption grows, using automation, observability, and self-service so support does not scale with usage. 

• Partner with security and engineering teams to embed secure development practices into the development lifecycle across a growing set of scanning capabilities as the threat landscape evolves, including SAST, SCA, container, and API security testing.

• Provide technical leadership and mentoring to the team, promoting high-quality software engineering practices. 

• Champion thoughtful adoption of AI-assisted development across the team, coaching engineers on where it fits our products and delivery model and where it does not."

• Collaborate with stakeholders to define technical direction, manage risks, and ensure successful delivery of business-critical solutions.

• Partner with leaders across DevSecOps to stay aligned to senior leadership strategic initiatives, adjusting team priorities and deliverables as direction evolves.

• Drive continuous improvement in architecture, engineering standards, and operational excellence.

Qualifications:

• 8+ years of software engineering, application development, or platform engineering experience, including at least three years of hands-on development. 

• Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred. 

• Strong expertise with AWS cloud technologies and cloud-native architectures.

• Strong object-oriented programming fundamentals (Java) and the ability to work effectively in more than one language. Experience with Node.js and TypeScript is a plus, and is what we use today. Willingness to learn new technologies.

• Practical perspective on AI-assisted development, including where it adds value and where it does not. Prior experience applying AI to engineering or product work is a plus; a genuine interest in doing so is expected.

• Experience designing APIs, automation solutions, CI/CD pipelines, and distributed systems.

• Experience operating and supporting production platform services, including observability and reliability practices.

• Proven ability to lead technical initiatives, build trust and influence across organizational boundaries, and mentor engineers.

Preferred experience:

• Platform engineering, DevOps, or CI/CD pipeline engineering, building services and pipelines that application and product teams across the organization depend on.

• Large-scale cloud migration or modernization work in an enterprise environment.

• Building automation solutions at enterprise scale, where adoption spans many teams.

• AWS certifications, such as Solutions Architect (Associate or Professional), DevOps Engineer Professional, or AI Practitioner.

• Understanding of application security, DevSecOps, or secure software development practices.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.