Workday
Senior Software Engineer(Distributed Systems)
USA, CA, Pleasanton · Senior
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About the role
- Our roadmap directly shapes how the company detects, diagnoses, and eventually predicts operational issues at scale.
- 8+ years experience in software development engineering.
- Solid understanding of Distributed Systems Software principles, including data partitioning, eventual consistency, and fault tolerance mechanisms, with hands-on experience in Kafka, Spark, Flink, or ClickHouse.
Responsibilities
- You will drive engineering excellence within the team, mentor other developers, and act as a domain expert for tracing ingestion, storage, and query performance
- Strong ability in Algorithmic Thinking, including to build highly efficient and scalable solutions for complex high-throughput data ingestion and sub-second query performance challenges.
- Good understanding of Large Scale Systems design principles, including distributed data sharding, replication, and query optimization, and experience working on observability pipelines or data lake platforms.
- Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.
Requirements
- 5+ years experience with at least two of the following programming languages Java, Go, Scala, Python, including experience in writing production-level code for distributed systems.
- Practical experience with Large Scale Data Processing technologies and frameworks such as Apache Kafka, Spark, Flink, and Apache Iceberg within complex distributed architectures.
- Experience with Source Control Management (SCM) tools such as Git and GitHub/Bitbucket, and following best practices for collaborative distributed development workflows.
- Strong understanding of Object-Oriented Design (OOD) principles and architectural patterns for building highly scalable and maintainable distributed systems.
- We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role).
- Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree.
Skills
- Your work days are brighter here.
Compensation
- $190,100 USD - $285,100 USD
- $160,100 USD - $285,100 USD
Benefits
- Our Approach to Flexible Work
- This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together.
- Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
Company info
- The Data Platform and Observability Engineering (DPOE) team is building Workday's next-generation, multi-petabyte scale Observability Platform.
- We own the libraries, distributed services, and infrastructure that power ingestion, storage, and query across the observability stack - Iceberg, ClickHouse, Tempo, Grafana, S3, Kafka, and Elasticsearch serving traces, metrics, and logs for every workload at Workday.
Equal opportunity
- Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
- Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.
This listing is sourced directly from Workday's careers page and normalized into a canonical job model.