Zoetis

Senior DevOps/MLOps Engineer

Zoetis

full-time

Posted on:

Location Type: Remote

Location: Remote • California, Colorado, New Jersey, New York, Washington • 🇺🇸 United States

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Salary

💰 $105,000 - $145,000 per year

Job Level

Senior

Tech Stack

AWSAzureCloudDockerGoGoogle Cloud PlatformJavaKafkaKubernetesMapReduceNoSQLPythonRedisRustScalaSQL

About the role

  • Build end‑to‑end 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/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

Requirements

  • 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 on-prem/HPC (e.g., Slurm) experience
  • Experience on multidisciplinary projects and teams, including scientists and software engineers, with excellent communication with scientific stakeholders.
Benefits
  • Healthcare
  • Dental coverage
  • Retirement savings benefits
  • Paid holidays
  • Vacation
  • Disability insurance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLMapReduceCypherC++GoRustJavaScaladata pipeline orchestration
Soft skills
communicationcollaborationproblem-solvingleadershipteamworkinterpersonal skillsorganizational skillsadaptabilitycritical thinkingproject management
Certifications
PhDMSBS