MLOPS Engineer

About the client:

Our client is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies.

Position: MLOPS Engineer

Location: Sunnyvale, CA (Onsite) 

Job Description:

Required Skills & Experience

• Strong experience with production ML systems, incident management, and on‑call operations.
• Deep hands‑on expertise with AWS, Kubernetes/EKS, and infrastructure‑as‑code.
• Experience executing platform or environment migrations with minimal production risk.
• Familiarity with CI/CD pipelines, observability, and secure service operations.
• Ability to work independently, own deliverables end‑to‑end and leave high‑quality documentation.

Key Responsibilities

Realtime‑ML Operations & Playground Migration (~45%)

• Act as primary on‑call and maintenance owner for the Realtime‑ML production stack during the Auriga migration window.
• Monitor system health, triage and resolve incidents, and address data/model‑serving issues.
• Apply security updates, dependency patches, and ensure SLA continuity for downstream consumers.
• Lead migration of the Realtime‑ML Playground environment, including infra parity checks, configuration migration, integration testing, and documentation.

EKS Migration – HarperCollins Bundles (~40%)

• Execute end‑to‑end migration of HarperCollins service bundles to AWS EKS.
• Author Kubernetes manifests, configure IAM and networking, and update CI/CD pipelines.
• Validate in staging and perform a controlled production cutover.
• Produce rollback plans and operational runbooks.

Buildings Production Pipeline (Supporting, ~15%)

• Contribute to design and initial build‑out of a pipeline streaming ML‑detected missing building into the Basemap data flow.
• Deliver pipeline scaffolding, integration patterns with upstream ML outputs, and schema inputs.
• Leave a documented, partially implemented pipeline with clear handoff notes for post‑engagement completion.

Key Deliverables (by End of Engagement)

• Stable Realtime‑ML production environment throughout Auriga migration, with documented incidents and resolutions.
• Fully migrated Realtime‑ML Playground with handoff documentation.
• HarperCollins bundles live on EKS with completed cutover and operational runbooks.
• Partially implemented Buildings pipeline with documentation enabling seamless handoff.
• All code, IaC, and documentation checked into team repositories.