Senior DevOps​/MLOps Engineer

As the leader in animal health, Zoetis is looking to recruit a Senior Dev Ops/MLOps Engineer into its world‑class Veterinary Medicine Research and Development (VMRD) organization to operationalize AI/ML, scientific modeling, and digital twin workloads. You’ll build secure, scalable platforms and data pipelines across cloud and on‑prem/HPC, partnering closely with biologists and data scientists to translate scientific questions into reliable production systems.

• Build end‑to‑end Dev Ops/MLOps foundations: 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/realtime) 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.

• 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, Map Reduce, and/or Cypher.
• Proficiency in one of: C++, Go, Rust, Java, or Scala.
• Docker, Kubernetes, CI/CD (e.g., Git Hub Actions), secure artifact/container registries.
• Data pipeline orchestration (e.g., Databricks, Dagster, Kedro); streaming (Kafka or Redis); data modeling with SQL/No
  
  SQL/graph.
• MLOps: experiment tracking and model versioning (e.g., MLflow), model serving and monitoring.
• Cloud (AWS/Azure/GCP) and on‑prem/HPC (e.g., Slurm) experience.
• Experience on multidisciplinary projects and teams, including scientists and software engineers, with excellent communication with scientific stakeholders.

• APIs and scientific apps:
  FastAPI; minimal UIs (Streamlit/React); scientific computing (Num Py, Pandas, Sci Py).
• Dev Ops/IaC:
  Terraform;
  Git Ops (Argo CD/Flux);
  Helm/Kustomize;
  Docker/Kubernetes; secure registries and config.
• Data engineering: dbt and feature stores;
  Parquet/Delta; schema/lineage with Avro/Protobuf, Open Lineage, Great Expectations.
• Observability/SRE:
  Prometheus/Grafana; ELK/Open Search;
  Open Telemetry; 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.

• Fulltime, Remote (US).
• Work hours aligned to US Eastern through US Pacific time zones.

Colorado: $105,000 - $128,000

California, NJ Remote, NY Remote, Washington: $118,000 - $145,000

This position is eligible for short‑term incentive compensation and also eligible for long‑term incentive.

We offer a competitive and comprehensive benefits package, which includes healthcare, dental coverage, and retirement savings benefits along with paid holidays, vacation and disability insurance.

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. Disabled individuals are given an equal opportunity to use our online application system. We offer reasonable accommodations as an alternative if requested by an individual with a disability.

Please contact Zoetis Colleague Services at zoeti to request an accommodation. Zoetis also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must possess or obtain authorization to work in the US for Zoetis. Zoetis retains sole and exclusive discretion to pursue sponsorship for the acquisition or maintenance of nonimmigrant status and employment eligibility, considering factors such as availability of qualified US workers.

Individuals requiring sponsorship must disclose this fact.