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. MLOPS Engineer1AWS,Migration,Kubernetes,MLOpsN/AC2CUnited States