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 the architectural evolution of cloud-native platforms, with a focus on Kubernetes-based deployments and high-performance control plane components for AI/ML workloads. Proven ability to mentor engineers and drive technical direction while establishing standards for reliability and scalability.
Highest-signal resume keywords
Kubernetes-Based DeploymentsCloud-Native PlatformsGo ProgrammingPython ProgrammingArchitectural Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
High-Quality Production CodeDistributed Systems ProjectsLinux KernelNetworkingContainer OrchestrationScalable SystemsTechnical Roadmap DevelopmentAI/ML WorkloadsGPU IntegrationTPU Integration
Soft Skills
MentoringInfluencing Technical DirectionCross-Functional AlignmentComplex Problem Solving
Tools & Technologies
AWSAzureGCPRay ClustersAnyscale Infrastructure
Industry Keywords
Cloud InfrastructureObservabilityReliability StandardsScalability Standards
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsGoogle Cloud PlatformKubernetesLinuxPythonRayGo
About the role
Key responsibilities & impact- Lead the technical vision for the Infrastructure team
- Drive the architectural evolution of the control plane and data plane
- Define and drive the multi-year technical roadmap for services orchestrating Ray clusters across diverse cloud and on-premises environments
- Lead the design and optimization of high-performance control plane components for large-scale, heterogeneous AI/ML workloads
- Establish organization-wide standards for reliability, scalability, and observability of Anyscale-managed infrastructure
- Direct the long-term strategy for GPU and TPU accelerator integration and container management
- Lead complex design and architecture discussions
- Resolve deep technical debt and ensure engineering excellence across the organization
- Partner with ML experts and customer-facing teams to translate market needs into infrastructure foundations
- Mentor engineers and drive cross-functional alignment across the Ray open-source community and proprietary product teams
Requirements
What you’ll need- 5+ years of experience writing high-quality production code and leading complex distributed systems projects
- Proven track record designing and maintaining highly available, scalable, and secure cloud-native platforms on AWS, Azure, or GCP
- Deep expertise in Kubernetes-based deployments and container orchestration at massive scale
- Advanced knowledge of the Linux kernel, networking, and low-level operating system foundations
- Mastery of Go and Python
- Ability to set coding standards and best practices for the team
- Ability to mentor senior engineers, influence technical direction without direct authority, and navigate complex trade-offs in a fast-paced environment
- Willingness to work in person at Anyscale's San Francisco office on Mondays, Tuesdays, and Thursdays
- Work authorization in the country in which the position is based
Benefits
Comp & perks- Competitive salary and equity
- Health/dental/vision coverage, with many plans up to 99% employer-covered
- Stock Options
- Healthcare plans, with premiums covered by Anyscale at 99%
- 401k Retirement Plan
- Wellness & Education Stipend
- Paid Parental Leave
- Fertility Benefits
- Paid Time Off
- Commute reimbursement
- 100% of in-office meals covered
- Mental health support
- Flexible time off