Staff ML Systems & Reliability Engineer

Moveworks; Mountain View (CA); On-site; USD 190,000 - 230,000; Full time

Job summary

Moveworks in Mountain View, CA is seeking a hands-on Staff Engineer to advance ML systems and reliability across production workflows. You will own end-to-end technical ownership, collaborate with ML, data, product, and platform teams, and steer architecture without formal authority.

You’ll design and operate distributed training, inference, and observability, implement safe rollout patterns, define SLIs/SLOs, and mentor engineers to build reliable, scalable AI-powered workflows.

Qualifications

• 7+ years in software engineering, platform engineering, SRE, or ML infrastructure.
• Strong Python and a production systems language (Go/Java/C++/Rust).
• Experience designing and operating distributed production systems with capacity planning and performance optimization.
• Hands-on with cloud infrastructure, containers, IaC, CI/CD, and modern observability.
• Understanding of the ML lifecycle and collaboration with ML engineers.

Responsibilities

• Design and build the production path for the complete ML lifecycle: data/feature prep, training, tracking, evaluation, artifacts, serving, monitoring, retraining.
• Build continuous-delivery workflows for models, prompts, agent workflows, data dependencies, and supporting services with automated checks.
• Implement safe rollout patterns: shadow traffic, canaries, progressive delivery, feature flags, versioned artifacts, automated rollback, kill switches.
• Turn self-learning approaches into controlled production feedback loops with data lineage and model refresh triggers.
• Define and operate SLIs, SLOs, alerts, and error budgets across infrastructure and data pipelines.
• Connect model analytics with product telemetry to diagnose infra/data/model vs product issues.
• Improve scalability, latency, and cost of distributed training/inference/data processing; manage capacity and GPUs.
• Participate in production ownership: reviews, deployment, on-call, incident postmortems, remediation.
• Build self-service platforms and automation to reduce operational toil for ML engineers.
• Apply LLMs/agentic automation to evaluation and operational workflows for measurable improvements.
• Establish standards for cloud infra, Kubernetes, IaC, observability, security, and compliance.
• Provide technical leadership across ML, data, product, and platform teams.

Skills

Staff-level ownership

Python

Go/Java/C++/Rust

Distributed systems

Kubernetes

CI/CD

Observability

Automation mindset

Communication

Tools

Kubernetes

CI/CD

Job description

Moveworks in Mountain View, CA is seeking a hands-on Staff Engineer to advance ML systems and reliability across production workflows. You will own end-to-end technical ownership, collaborate with ML, data, product, and platform teams, and steer architecture without formal authority.

You’ll design and operate distributed training, inference, and observability, implement safe rollout patterns, define SLIs/SLOs, and mentor engineers to build reliable, scalable AI-powered workflows.