# Software Development Engineer(Distributed Systems) at Workday

- Company: Workday
- What the company does: Experience a new way to work with Sana and agentic AI from Workday. Backed by Greylock, NEA and Menlo.
- Company website: https://www.workday.com/
- Type: Startups
- Level: Mid level
- Location: USA, CA, Pleasanton
- Work setup: On-site
- Pay: $148K to $222K base salary per year (USD)
- Posted: 2026-10-09
- Apply by: 2026-11-23
- Apply: https://workday.wd5.myworkdayjobs.com/en-US/Workday/job/USA-CA-Pleasanton/Software-Development-Engineer-Distributed-Systems-_JR-0109646-1?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/workday-software-development-engineer-distributed-systems/

## About the role

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.You will optimize low-latency infrastructure and help shape the future of Observability AI by extending distributed tracing to LLM and agentic workflows using LangSmith and LangChain, enabling... Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- 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


Source: 1752vc Careers, https://www.1752.vc/careers/jobs/workday-software-development-engineer-distributed-systems/