Senior DevOps​/MLOps Engineer

Position: 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.
*
* Essential Duties and Responsibilities:

*** 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/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.
** 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, 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.
** Additional Experience/ Skills
*** 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.
** Job Type
*** Full‑time, 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.

Full time

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