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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing production systems with a focus on availability, performance, and resilience. Proficient in defining SLIs and SLOs, improving cloud infrastructure, and implementing AI-enabled tools for engineering operations.
Highest-signal resume keywords
Production Systems ManagementMachine Learning Infrastructure DesignIncident Response LeadershipCloud Infrastructure ImprovementAI-Enabled Tools Implementation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Production SystemsMachine Learning InfrastructureSoftware AutomationDistributed SystemsNetworkingCloud ServicesData-Intensive WorkloadsIncident ManagementSLIs and SLOs DefinitionAI Tooling
Soft Skills
Clear CommunicationProblem Diagnosis
Industry Keywords
Cloud InfrastructureAI EngineeringSoftware ReliabilityDeveloper ExperienceScalability
Tech Stack
Tools & technologiesCloudDistributed Systems
About the role
Key responsibilities & impact- Own the availability, performance, and resilience of production systems
- Define SLIs and SLOs and strengthen instrumentation and alerting
- Participate in and improve on-call practices
- Lead incident response and convert post-incident learning into durable improvements
- Improve cloud infrastructure, deployment pipelines, and environment management
- Drive architecture for data preparation, model training, evaluation, deployment, monitoring, and iteration
- Identify and implement AI-enabled tools and workflows for engineering operations
- Partner with Software, AI, Product, and Hardware teams on reliability, security, developer experience, scalability, and cost trade-offs
Requirements
What you’ll need- Experience building and operating customer-facing production systems
- Experience designing or running production ML infrastructure
- Ability to diagnose complex failures and support production software
- Ability to write maintainable software and automate infrastructure
- Knowledge of distributed systems, networking, cloud services, and data-intensive workloads
- Ability to reason about reliability, security, developer experience, scalability, and cost
- Clear and succinct communication skills
- Computer vision infrastructure experience, applied AI tooling, and startup/scale-up experience are bonuses, not required