- Design, build, and maintain infrastructure supporting ML training, deployment, and inference workloads.
- Own and improve CI/CD, infrastructure-as-code, observability, and operational tooling for ML systems.
- Operate and evolve production systems with a strong focus on reliability, performance, and cost efficiency.
- Build and maintain Kubernetes- and cloud-based services that support model execution and data workflows.
- Partner with data scientists and engineers to support model deployment and operational needs.
- Improve developer workflows through automation, tooling, and platform abstractions.
- Participate in on-call and operational ownership for platform components.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 7+ years of experience in software engineering, platform engineering, or DevOps/SRE roles
- Strong systems engineering background with production operations experience
- Strong experience with backend or platform services
- Hands‑on experience with cloud infrastructure and tooling (e.g., AWS, Docker, Kubernetes, Terraform, CI/CD, monitoring)
- Experience operating distributed systems in production
- Experience with machine learning infrastructure, model serving, or data platforms is a strong plus
- Strong problem‑solving skills and an operations‑first mindset
- Ability to thrive in a fast‑paced, high‑tech environment and manage complex problems
Core Competencies
Demonstrates expertise in designing and maintaining infrastructure for machine learning workloads, with a strong focus on reliability, performance, and cost efficiency. Proficient in cloud infrastructure, CI/CD, and operational tooling to enhance developer workflows and support model deployment.
Highest-signal resume keywords
- Cloud Infrastructure
- Kubernetes
- CI/CD
- Machine Learning Infrastructure
- Systems Engineering
ATS Optimization Keywords
Hard Skills
- Software Engineering
- Platform Engineering
- DevOps
- Backend Services
- Production Operations
- Distributed Systems
- Model Serving
- Data Platforms
- Infrastructure-as-Code
- Automation
Soft Skills
- Problem‑Solving
- Operations-First Mindset
- Adaptability
Certifications & Qualifications
- Bachelor’s Degree
- Master’s Degree
Industry Keywords
- Machine Learning
- Observability
- Operational Tooling
- Data Workflows
Tools & Technologies
- AWS
- Docker
- Terraform
- Monitoring Tools