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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in designing and deploying scalable AI control and data planes using Go, C, and Rust, with a strong focus on Kubernetes-native solutions and advanced security controls. Proven ability to mentor engineers and drive high-quality engineering practices across multi-cloud environments.
Highest-signal resume keywords
Go ProgrammingC ProgrammingRust ProgrammingKubernetes InternalsCloud Security Infrastructure
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringHigh-Performance NetworkingAPI Gateway DevelopmentDistributed Control PlaneTraffic OptimizationEnterprise Security ProtocolsAdvanced AI Security ControlsRate LimitingLoad DistributionObservability Mechanisms
Soft Skills
MentoringCollaborationArchitectural ReviewDriving Code Quality Standards
Tools & Technologies
KubernetesAWSAzureGCPPrivate Cloud
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Computer Engineering
Industry Keywords
AI Control PlanesData PlanesMulti-Cloud EnvironmentsContainer OrchestrationAI Software Development Lifecycle
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformKubernetesRustGo
About the role
Key responsibilities & impact- Design, code, and deploy resilient, scalable features for enterprise AI control planes and data planes using Go, C, and Rust
- Implement advanced security controls, semantic policy enforcement, rate limiting, load distribution, and observability mechanisms for high-throughput AI workloads and LLM pipelines
- Build Kubernetes-native operators, custom resource definitions (CRDs), and high-performance proxy plugins bridging multi-cloud and on-premises environments
- Mentor senior and staff engineers
- Conduct architectural reviews
- Drive code quality standards and enforce engineering best practices across teams
- Collaborate with product management and platform architects to refine technical specifications and deliver robust platform releases
- Own end-to-end component design, data plane efficiency, control plane integrations, and advanced AI security and traffic delivery controls across multi-cloud and Kubernetes-native infrastructures
Requirements
What you’ll need- Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent experience
- 12+ years of software engineering experience building high-performance networking, API gateway, application delivery, distributed control plane, or cloud security infrastructure software
- Strong hands-on programming skills in Go, C, or Rust
- Demonstrated experience with Kubernetes internals, container orchestration, and multi-cloud networking primitives (AWS, Azure, GCP, Private Cloud)
- Solid understanding of the AI Software Development Lifecycle, modern AI application platforms, traffic optimization, and enterprise security protocols
- Proven ability to drive complex technical projects from concept to production deployment
Benefits
Comp & perks- Incentive compensation
- Bonus
- Restricted stock units
- Benefits package
- Reasonable accommodations for candidates
