Key skills
ApacheAWSCloudDistributed SystemsDockerGoogle Cloud PlatformGrafanaJavaJenkinsKubernetesPrometheusPythonScalaSparkTerraformAIMLAgenticData EngineeringApache SparkTDDGCPGoogle CloudSageMakerKibanaWorkday
About this role
Role Overview
- Contribute to a cloud ops platform that enables ingestion of data from internal and external producers
- Compute and aggregate meaningful, curated data sets
- Surface these sets to Workday Front-End components or as embedded contextual data for AI/ML inference generation and agentic workflows
- Utilize technologies like Kubernetes, Spark, Python, Java, XO, Terraform, Iceberg, EMR, and Sagemaker.
Requirements
- 6+ years of experience in Software Engineering, Distributed Systems or a related field
- 3+ years proficiency in at least two of the following programming languages: Java, Scala, Python
- 3+ years in cloud engineering or related field(s)
- Working knowledge of cloud-based infrastructure and managed services (AWS, GCP)
- Experience with at least one of these data engineering technologies: Apache Spark, Apache Iceberg, Kubernetes, Terraform AWS Cloud Infrastructure
- BSc or MSc in Computer Science/Computer Engineering or equivalent experience
- Experience in delivering a service from writing code to deploying in production: continuous integration (Jenkins), virtualisation (Docker), orchestration (Kubernetes, Terraform)
- Experience utilizing AI-Code Generation tools such as ClaudeCode, Windsurf, Cursor etc
- Experience creating scalable service endpoints to retrieve data
- Track record of working with logging, monitoring, metrics, stats technologies, such as: Grafana, Prometheus, Kibana, Hive, etc
- Proficient collaborating with teammates to design, maintain and improve sophisticated object-oriented software following clean code standard methodology; A testing/quality approach
- unit, system/integration and end-to-end testing, TDD, feature toggles, and canary deployments
- Exposure to operating system concepts covering memory and storage, threading and concurrency, networking and sockets, and process management
- An understanding and experience with topics related to performance and scale, security, availability, deployment and operations
- Experience being responsible for a service in production with experience of production triage and on-call.
Tech Stack
- Apache
- AWS
- Cloud
- Distributed Systems
- Docker
- Google Cloud Platform
- Grafana
- Java
- Jenkins
- Kubernetes
- Prometheus
- Python
- Scala
- Spark
- Terraform
Benefits
- Flexible working hours
- Professional development opportunities
- Annual refresh stock grants
- Workday Bonus Plan