Senior Software Engineer (Data Platform and Agent Trust)
Workday
full-remoteseniorpermanentbackenddata Full remote 48 days ago via WTTJ
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Data EngineeringApache SparkKubernetesTerraformAWSPythonJavaScalaCI/CDObservability
About the role
Role Overview
Join Workday’s Datahub team (an AI/MLOps-centered data engineering group) as a Senior Software Engineer. You’ll help build and operate a cloud ops platform that ingests, computes, and exposes data for key Workday applications.
Responsibilities
- Contribute to a cloud ops platform for data ingestion, computation, aggregation, and delivery
- Develop solutions using Kubernetes, Spark, Python, Java and infrastructure tooling (e.g., Terraform)
- Collaborate with teammates to design, maintain, and improve sophisticated object-oriented software
- Build and deliver scalable data service endpoints
- Support production operations including logging, monitoring, metrics, and alerting, plus triage/on-call
Requirements
- 6+ years of software engineering experience (Distributed Systems or related)
- Proficiency in at least two: Java, Scala, Python (3+ years)
- 3+ years in cloud engineering (or related)
- Experience with at least one of:
- Apache Spark, Apache Iceberg, Kubernetes, Terraform, AWS Cloud Infrastructure
- Working knowledge of cloud infrastructure and managed services (AWS; also mentions GCP)
- Experience delivering services from code to production with:
- CI/CD (Jenkins)
- Virtualization/containers (Docker)
- Orchestration/infra (Kubernetes, Terraform)
- Testing/quality experience including unit, integration/system, and end-to-end tests, TDD, feature toggles, and canary deployments
- Strong fundamentals: OS concepts, concurrency/threading, networking/sockets, process management
- Understanding of performance, scale, security, availability, deployment, and operations
- Experience owning a production service, including production triage and on-call
Nice-to-haves
- Experience with AI-code generation tools (e.g., ClaudeCode, Windsurf, Cursor)
- Experience with monitoring/logging stacks such as Grafana, Prometheus, Kibana
- Experience with technologies like Hive
- Experience with data storage/throughput and distributed processing at scale
About Workday
Workday is a software company focused on enterprise applications, including HR and finance platforms. The company also builds and operates data-centric engineering capabilities such as AI/MLOps-oriented data engineering teams like Datahub.
Scraped 6/16/2026