# Software Development Engineer

**Company**: Workday
**Location**: Pleasanton, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $148,000 USD - $222,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://workday.wd5.myworkdayjobs.com/en-US/Workday/job/USA-CA-Pleasanton/Software-Development-Engineer-Distributed-Systems-_JR-0109641?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_763780c2-947

## Description

We’re Workday, a Fortune 500 company and a leading AI platform for managing people, money, and agents. We're looking for a Software Development Engineer to join our Data Platform and Observability Engineering (DPOE) team.

The DPOE team is building Workday’s next-generation, multi-petabyte-scale Observability Platform. 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.

**Responsibilities**

- 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.

**Requirements**

- 5+ years experience in software development engineering.

- 3+ years experience specifically focused on designing, building, and operating complex distributed system architectures.

- 5+ years experience with at least two of the following programming languages: Java, Python, Go.

- 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.

**Nice to Have**

- 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).

- Strong understanding of Code Testing methodologies, such as distributed load testing and integration testing.

- Solid understanding of Distributed Systems Software principles, including data partitioning, eventual consistency, and fault tolerance mechanisms.

- Experience implementing and maintaining High Availability strategies for critical distributed systems.

**Pay and Benefits**

- The annualized base salary ranges for the primary location are $148,000 USD - $222,000 USD.

- As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants.

## Skills

### Required
- Java
- Python
- Go
- ClickHouse
- Grafana Tempo
- Kafka
- Spark/Flink
- Iceberg
- S3
- Distributed Systems

### Nice to have
- Algorithmic
- API Development
- gRPC
- REST
- OpenTelemetry (OTLP)
- Code Testing methodologies
- Distributed Systems Software principles

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Source: [Apply at workday.wd5.myworkdayjobs.com](https://workday.wd5.myworkdayjobs.com/en-US/Workday/job/USA-CA-Pleasanton/Software-Development-Engineer-Distributed-Systems-_JR-0109641?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)