Software Development Engineer, Workday
Distributed Systems
$148-222k
More information about location
Office located in Pleasanton, CA
Enterprise AI platform for managing HR, finance & IT
Open for applications
Enterprise AI platform for managing HR, finance & IT
1001+ employees
Open for applications
$148-222k
More information about location
Office located in Pleasanton, CA
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- 5+ years experience in software development engineering
- 3+ years experience specifically focused on designing, building, and operating complex distributed system architectures, evidenced by successful deployment of systems with high availability (e.g., 99.9% uptime) and fault tolerance
- 5+ years experience with at least two of the following programming languages Java, Python, Go, including experience in writing production-level code for distributed systems
- Bachelor’s degree in a relevant field such as Computer Science, Engineering, or a related discipline; a Master's degree (e.g., MS in Computer Science, Distributed Systems, or related field) is strongly preferred or equivalent practical experience
- Strong ability in Algorithmic to build highly efficient and scalable solutions for complex high-throughput data ingestion and sub-second query performance challenges
- Solid experience in API Development, including an understanding of gRPC, REST, and OpenTelemetry (OTLP), with practical experience designing and building scalable distributed APIs for observability data
- Strong understanding of Code Testing methodologies, such as distributed load testing and integration testing, and experience contributing to end-to-end telemetry pipeline testing and CI/CD automation
- 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
- Experience implementing and maintaining High Availability strategies for critical distributed systems, including multi-AZ deployments, robust retry mechanisms, and automated failover
- Practical experience with Large Scale Data Processing technologies and frameworks such as Apache Kafka, Spark, Flink, and Apache Iceberg within complex distributed architectures
- 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
- Strong understanding of Object-Oriented Design (OOD) principles and architectural patterns for building highly scalable and maintainable distributed systems
- 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 System Security principles and best practices relevant to securing distributed environments, including mutual TLS (mTLS), multi-tenant authorization (authz), and data encryption
- Proven ability to actively collaborate within and across distributed software development teams and contribute constructively to architectural discussions and system designs
- Strong skills in creating Technical Writing Documentation for runbooks, system design specs, and API documentation related to distributed systems architecture and design
What the job involves
- 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. Our roadmap directly shapes how the company detects, diagnoses, and eventually predicts operational issues at scale
- As a Software Development Engineer, you will build and scale core features of Workday’s distributed tracing platform. Working with ClickHouse, Grafana Tempo, and a modern big-data pipeline (Kafka, Spark/Flink, Iceberg, S3) on AWS, you will deliver high-quality, high-performance code capable of handling massive data loads
- This is a hands-on role for an engineer who excels at building resilient backend services and is eager to grow their expertise in distributed systems and big data while contributing to the future of Observability AI
- Develop the Platform: Write high-quality, well-tested code to build and scale features for the distributed tracing platform on ClickHouse/Tempo, focusing on robust ingestion and fast query execution
- Maintain Big-Data Pipelines: Build and support high-throughput data pipelines using Kafka, Spark/Flink, and Iceberg-on-S3
- Tune and Optimize: Write optimized code and participate in profiling and resolving latency or throughput issues in production environments
- Ensure Reliability: Implement robust error handling, retries, and failover mechanisms to ensure high availability for tracing services
- Secure the Data: Apply necessary security controls to ensure multi-tenant data access is properly handled according to platform architecture
- Operational Support: Maintain the health of the platform through comprehensive monitoring, logging, and alerting, and participate in the team’s on-call rotation
- Support Observability AI: Build reliable data ingestion paths that will serve as the foundation for AI-driven anomaly detection and root-cause analysis
- Collaborate and Learn: Write clear technical documentation, participate actively in system design reviews, and work closely with Senior and Principal engineers to level up your distributed systems knowledge
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
The company has also grown through acquisitions and partnerships to broaden its capabilities. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.
Through a combination of strategic acquisitions and in-house development, Workday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(Co-Founder & CEO)Annel began their career at Morgan Stanley as a Corporate Finance Analyst. They then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005.
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