FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading infrastructure teams, managing cloud infrastructure, and driving architectural transitions while ensuring reliability and scalability of platforms. Proficient in developing engineers and collaborating with cross-functional teams to enhance platform accessibility and performance.
Highest-signal resume keywords
Engineering Leadership ExperienceAWS Infrastructure FamiliarityAI Coding Tools ExperienceDeployment Pipeline ManagementObservability Tooling Familiarity
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Infrastructure ManagementPlatform Strategy OwnershipArchitectural Transition LeadershipIncident Response ManagementProduction-Readiness DefinitionLLM Infrastructure GovernanceSelf-Serve Platform DevelopmentDatabase Platform ManagementCloud Infrastructure OwnershipOn-Call Rotation Management
Soft Skills
Team DevelopmentStrategic Vision SettingCollaboration with Engineering Leadership
Tools & Technologies
AWSDatadogFastAPIPython
Industry Keywords
HealthcareRegulated Environment
Tech Stack
Tools & technologiesAWSCloudPython
About the role
Key responsibilities & impact- Lead the Infrastructure team within Engineering Foundations
- Own cloud infrastructure, deployment pipelines, LLM infrastructure, database platform, observability, and incident response
- Hire and develop engineers through senior and staff levels
- Run an effective on-call rotation
- Set team strategy and vision
- Own the reliability, performance, and scalability of Mamba, Headway’s FastAPI/Python monolith, and its AWS infrastructure
- Drive the transition toward self-serve infrastructure and strategic platform work
- Lead architectural and deployment validation to reduce incident blast radius
- Define production-readiness expectations for AI workloads
- Co-own container security and secrets management with the Security team
- Make the platform accessible and understandable to product engineering teams
- Report to the Head of Engineering Foundations
- Collaborate with Engineering Leadership, Security, and product engineering teams
Requirements
What you’ll need- 5–7+ years of engineering leadership experience, including experience leading infrastructure or platform teams
- 5+ years of experience as a Software or Infrastructure Engineer
- Experience leading the shift from an infrastructure-owned-everything model to a self-serve platform
- Experience managing the interface between platform and product engineering teams, including ownership boundaries and self-serve tooling
- Ability to manage support queues, strategic roadmaps, on-call rotations, and external dependencies
- Familiarity with AWS infrastructure at scale
- Familiarity with Datadog or similar observability tooling
- Familiarity with deployment pipelines at companies where reliability is a product requirement
- Hands-on daily experience with AI coding tools
- Successful completion of a hands-on AI coding interview
- Experience owning platform strategy and presenting it to senior leadership
- Experience leading significant architectural transitions
- Experience building or governing LLM infrastructure and AI platform primitives
- Experience in healthcare or another regulated environment is helpful
Benefits
Comp & perks- Robust health and wellness benefits
- Retirement savings
- Meaningful ownership opportunities through equity
- Reasonable accommodations for persons with disabilities