Zoetis US LLC is hiring a Senior DevOps / MLOps Engineer

Zoetis US LLC is hiring a Senior DevOps / MLOps Engineer to build secure, scalable platforms and data pipelines that operationalize AI/ML, scientific modeling, and digital twin workloads. You will partner directly with biologists and data scientists to translate complex scientific questions into reliable production systems.

What You'll Do

• Build end-to-end DevOps/MLOps foundations including CI/CD for code/data/models, containerization/orchestration, artifact/registry management, and secure configuration.
• Design and operate data engineering pipelines (batch/streaming) with data quality checks, lineage, schema contracts, and governance across lake/warehouse environments.
• Productionize scientific and digital twin workflows into services/APIs and lightweight UIs with reproducibility, versioning, auditability, and compliant deployment.
• Implement scalable training/inference (batch/real-time) with observability, SLIs/SLOs, runbooks, incident response, and automated rollback strategies.
• Run distributed/HPC jobs (including GPU) and optimize storage, throughput, and cost across on-prem and cloud.
• Collaborate with scientists on experiment design, data/compute needs, and validation.

What We're Looking For

• PhD in a quantitative field (computer science, ML, computational biology, applied math) or MS/BS with equivalent senior engineer level experience working in a scientific domain.
• 6+ years building production systems.
• Strong software engineering fundamentals.
• Expert in Python.
• Strong experience with a query language such as SQL, MapReduce, and/or Cypher.
• Proficiency in one of: C++, Go, Rust, Java, or Scala.
• Experience with Docker, Kubernetes, CI/CD (e.g., GitHub Actions), secure artifact/container registries.
• Experience with data pipeline orchestration (e.g., Databricks, Dagster, Kedro); streaming (Kafka or Redis); data modeling with SQL/NoSQL/graph.
• Experience with MLOps: experiment tracking and model versioning (e.g., MLflow), model serving and monitoring.
• Experience with Cloud (AWS/Azure/GCP) and on-prem/HPC (e.g., Slurm).
• Experience on multidisciplinary projects and teams, including scientists and software engineers.
• Excellent communication with scientific stakeholders.

Nice to Have

• APIs and scientific apps: FastAPI; minimal UIs (Streamlit/React); scientific computing (NumPy, Pandas, SciPy).
• DevOps/IaC: Terraform; GitOps (Argo CD/Flux); Helm/Kustomize; Docker/Kubernetes; secure registries and config.
• Data engineering: dbt and feature stores; Parquet/Delta; schema/lineage with Avro/Protobuf, OpenLineage, Great Expectations.
• Observability/SRE: Prometheus/Grafana; ELK/OpenSearch; OpenTelemetry; SLIs/SLOs and performance profiling/optimization.
• Distributed compute and resilience: Dask, Ray, Spark; HPC/Slurm; GPU scheduling; service mesh (Istio/Linkerd), API gateways, ingress; encryption/secrets/KMS, audit trails, backup/restore, DR.

Technical Stack

• Languages: Python, SQL, MapReduce, Cypher, C++, Go, Rust, Java, Scala.
• Platform & Ops: Docker, Kubernetes, GitHub Actions, AWS, Azure, GCP, Slurm, Terraform, Argo CD, Flux, Helm, Kustomize.
• Data & ML: Databricks, Dagster, Kedro, Kafka, Redis, MLflow, dbt, Parquet, Delta, Avro, Protobuf, OpenLineage, Great Expectations, NumPy, Pandas, SciPy, Dask, Ray, Spark.
• API & UI: FastAPI, Streamlit, React.
• Observability: Prometheus, Grafana, ELK, OpenSearch, OpenTelemetry.
• Networking: Istio, Linkerd.

Team & Environment

This role is part of the Veterinary Medicine Research and Development (VMRD) organization.

Benefits & Compensation

• Healthcare
• Dental coverage
• Retirement savings benefits
• Paid holidays
• Vacation
• Disability insurance
• Compensation: $105,000 - $128,000 (Colorado) or $118,000 - $145,000 (California, NJ Remote, NY Remote, Washington)

Work Mode

This is a remote position open to candidates located within the United States.

Zoetis is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status or any other protected classification.