Senior Software Development Engineer, Workday

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Scala

Java

Kafka

Abstract

Terraform

Kibana

Jenkins

Spark

Prometheus

Grafana

Flink

Hive

Senior and Expert level

Dublin

More information about location

Enterprise management cloud platform

Open for applications

Enterprise management cloud platform

1001+ employees

B2BHRInternal toolsAnalyticsFinancial ServicesCloud Computing

Open for applications

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Scala

Java

Kafka

Abstract

Terraform

Kibana

Jenkins

Spark

Prometheus

Grafana

Flink

Hive

Senior and Expert level

Dublin

More information about location

1001+ employees

B2BHRInternal toolsAnalyticsFinancial ServicesCloud Computing

Company mission

To provide an all-in-one management cloud solution for the rapidly changing business requirements of the modern world.

Job

Company

Role

Who you are

You are a highly motivated and skilled Software engineer with a passion for data and a desire to make a real impact on Workday's Machine Learning 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 effectively 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 and Data Engineering
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
Proficient collaborating with teammates to design, 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, 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 with Data Engineering technologies such as Apache Avro, Apache Kafka, Apache Flink, Apache Spark, Apache Iceberg
Experience in delivering a service from writing code to deploying in production: continuous integration (Jenkins), virtualisation (Docker), orchestration (Kubernetes, Terraform) and Cloud providers (AWS, GCP)
Track record of working with logging, monitoring, metrics, stats technologies, such as: Grafana, Prometheus, Kibana, Hive, etc
Experience being responsible for a service in production with experience of production triage and on-call

What the job involves

Our passion, as part of the Machine Learning (ML) organisation, is to deliver on critical company goals
We are the data streaming team (aka Zonda) and develop the platform for the critical ML data pipelines
In this role, you will contribute to the development and maintenance of critical data pipelines that power Workday's Machine Learning initiatives
You'll be working hands-on with technologies like Java/Scala, Python, Flink/Spark, Kafka, Terraform/Kubernetes, and Iceberg, to name a few
You'll also be a key player in an exciting project to build out our new, ultra-modern ML data ingestion pipeline, leveraging state-of-the-art managed services within the Cloud

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.

Workday has acquired and paired up with many other companies to keep expanding its offering. In 2021, it purchased the employee feedback platform Peakon in response to the growing need for managers to be able to survey workers and collect satisfaction data without face-to-face meetings. The company has also bought and developed many financial tools and HR management tools.

The company’s goal is to provide end-to-end back office services and while there are other providers, such as UKG Pro and Ceridian HCM, Workday’s broad offering helps them to stand out. Though it faced a tough global market in 2023 and has shed some of its headcount, Workday has seen a 6.5% gain in value in the first quarter of 2024. It is now focusing on growth and developing the AI capabilities of its platform. .

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

16% employee growth in 12 months

Glassdoor (4.2)

Trustpilot (1.1)

Company

Funding (last 2 of 5 rounds)

Oct 2011

$85m

SERIES F

Apr 2009

$75m

SERIES E

Total funding: $215.3m

Company benefits

Company equity
Vision and dental insurance
Work from home opportunities
Health insurance
Virtual primary care
Flexible time-off policy
Global mental health resources
Global dedicated on-site clinical counselors
Global well-being days
$25k fertility/family planning benefits
North Star financial wellness
Retirement funds and matching

Company HQ

Pleasanton, CA

Leadership

Aneel Bhusri

(CEO)

Worked for Morgan Stanley for 3 years and took a Stanford MBA, before spending almost 6 years at Oracle as SVP. Co-founded Workday in 2005 while working as a Greylock Advisory Partner.

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