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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in building and scaling high-reliability distributed systems, with a strong focus on API development, workflow orchestration, and cloud infrastructure. Proven ability to lead technical strategy, mentor engineers, and translate complex technical concepts into business solutions.
Highest-signal resume keywords
API DevelopmentCloud Infrastructure (AWS, GCP, Azure)Container Ecosystems (Docker, Kubernetes)Systems Programming (Go, Java, Python)Workflow Orchestration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Distributed SystemsHigh-Scale ArchitectureData PipelinesTechnical StrategyOperational Efficiency
Soft Skills
MentoringCommunicationOrganizational Consensus
Tools & Technologies
KubernetesSlurmPrometheusOpenTelemetryGrafana
Certifications & Qualifications
Master's Degree in Computer ScienceBachelor's Degree in Computer Science
Industry Keywords
Fleet Lifecycle OperationsAI SchedulingInfrastructure AutomationNVIDIA AI/ML Software StackPetabyte-Scale Infrastructure
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformGrafanaJavaKubernetesPrometheusPythonGo
About the role
Key responsibilities & impact- Lead the build and development of next-generation APIs, state management, and workflow orchestration systems automating fleet lifecycle operations at massive scale
- Drive technical alignment across dependent systems and partner teams for cohesive integration, clear interfaces, and reliable end-to-end workflows
- Coach, mentor, and encourage senior engineers while elevating technical standards and guidelines
- Focus on customer experience and product requirements, translating technical insight into business solutions
- Partner with executive and engineering leadership to codify business processes into self-measuring, scalable, and operationally consistent platforms
- Direct integration strategy for AI schedulers such as Kubernetes and Slurm and observability systems such as Prometheus, OpenTelemetry, and Grafana
Requirements
What you’ll need- 16+ years of progressive industry experience
- Master’s or bachelor’s degree in computer science or a related field, or equivalent experience defining and shipping complex distributed systems
- Deep, hands-on expertise in establishing, operating, and scaling services in a fast paced, high-reliability environment
- Experience rapidly testing ideas, iterating toward working solutions, and hardening reliable, scalable systems
- Outstanding proficiency in modern systems programming languages such as Go, Java, or Python
- Proven track record defining, owning, and evolving architecture of high-scale distributed systems, including APIs, control planes, and data pipelines
- Deep understanding of global cloud infrastructure including AWS, GCP, and Azure
- Experience with container ecosystems including Docker and Kubernetes
- Ability to drive technical strategy and influence outcomes across organizational boundaries
- Ability to communicate complex technical concepts, drive organizational consensus, and mentor high-performing engineers
- Experience leading organization-wide workflow orchestration systems for petabyte-scale infrastructure
- Experience in a Principal/Staff+ capacity delivering measurable improvements in operational efficiency, reliability, and security
- Familiarity with NVIDIA AI/ML software stack, including CUDA, cuDNN, and containerization
- Patent contributions or strong publication record in distributed systems, cloud computing, or infrastructure automation
Benefits
Comp & perks- Equity
- Comprehensive benefits package
- Benefits for employees and their families