Senior DevOps / MLOps Engineer

As the leader in animal health, Zoetis is looking to recruit a Senior DevOps/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 onprem/HPC, partnering closely with biologists and data scientists to translate scientific questions into reliable production systems.

Essential Duties and Responsibilities:

• Build endtoend DevOps/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 onprem and cloud; collaborate with scientists on experiment design, data/compute needs, and validation.

Required Experience/ Skills

• 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.
• Docker, Kubernetes, CI/CD (e.g., GitHub Actions), secure artifact/container registries.
• Data pipeline orchestration (e.g., Databricks, Dagster, Kedro); streaming (Kafka or Redis); data modeling with SQL/NoSQL/graph.
• MLOps: experiment tracking and model versioning (e.g., MLflow), model serving and monitoring.
• Cloud (AWS/Azure/GCP) and onprem/HPC (e.g., Slurm) experience.
• Experience on multidisciplinary projects and teams, including scientists and software engineers, with excellent communication with scientific stakeholders.

Additional Experience/ Skills

• 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.

Job Type

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

The following base pay range reflects the anticipated base pay for this position if a selected candidate were to be located in (Colorado). Base pay may vary based on location and other factors.

Base Pay Range: $105,000 - $128,000

The following base pay range reflects the anticipated base pay for this position if a selected candidate were to be located in (California), (NJ Remote), (NY Remote), or (Washington). Base pay may vary based on location and other factors.

Base Pay Range: $118,000 - $145,000

[This position is eligible for short-term incentive compensation.] [The position is 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.

Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search.