Sr Software Development Engineer

About the Role

In this role, you will contribute to the ingestion, discoverability, governance, derivation, and serving of data for Workday's Classic Machine Learning and agentic initiatives. You'll be working hands-on with technologies like Python, Spark, AWS Infra, Kafka, Terraform / Kubernetes, and Iceberg.

About You

You are a highly motivated and skilled Software engineer with a passion for data engineering and machine learning. You strive to apply technology to drive real impact on Workday's business initiatives. You thrive in a collaborative environment, working closely with your colleagues to deliver innovative solutions. You possess excellent communication skills, actively listening to understand different perspectives and optimally conveying technical ideas. You are eager to contribute to a high-performing team and are driven to continuously learn and grow in the ever-evolving world of Distributed Systems, Data Engineering, and Machine Learning.

Basic Qualifications

BSc or MSc in Computer Science / Computer Engineering or equivalent experience

8+ 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 data engineering or related field(s)

Solid understanding of cloud-based infrastructure and managed services (AWS, GCP)

Experience with at least one of these data engineering technologies : Apache Spark, Apache Iceberg, Apache Avro, Apache Kafka, Apache Flink

Other Qualifications

Experience in delivering a service from writing code to deploying in production : continuous integration (Jenkins), virtualisation (Docker), orchestration (Kubernetes, Terraform)

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 craft, 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