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Workday

Sr Software Engineer - SRE

Reposted 16 Hours Ago
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In-Office
Chennai, Tamil Nadu
Senior level
In-Office
Chennai, Tamil Nadu
Senior level
As a Senior Software Engineer at Workday, you will enhance automation frameworks and infrastructure, ensuring the reliability of analytics applications in a cloud setting.
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Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

Workday Prism Analytics is a self-service analytics solution for Finance and Human Resources teams that allows companies to bring external data into Workday, combine it with existing people or financial data, and present it via Workday’s reporting framework. This gives the end user a comprehensive collection of insights that can be carried out in a flash.
We design, build and maintain the data warehousing systems that underpin our Analytics products. We straddle both applications and systems, the ideal candidate for this role is someone who has a passion for solving hyper scale engineering challenges to serve the largest companies on the planet.

About the Role

You will be a key contributor on the Analytics Delivery Engineering team. As an SRE, you will help in building a clean, scalable, reliable, and automated services framework.

The Delivery Engineering team for Workday Analytics is a team of engineers for engineers. We get the opportunity to support a lot of different groups including back-end, front-end, SDETs, etc. We spend our time writing software and manage how we deliver, deploy, monitor and everything in-between.

About You

What You Will Do

Work on projects ranging from building out robust CI/CD to automation for both the Prism engineering team and SRE team

Work on enhancements and improvements for monitoring, alerting, and tracing of not only internal services but most importantly, production services.

Collaborate with others on the SRE team to help set technical direction while ensuring requirements are met.

Help enhance, build, and maintain internal infrastructure running in the public cloud as well as orchestration across the Workday Private Cloud.

Interact and be the primary contact with multiple teams both internally in Workday Prism Analytics alongside external Workday teams

Participate in and facilitate production on-call duties and events to ensure reliability of the analytics applications and play a pivotal role in building the foundation that delivers Workday Analytics to the cloud.

Basic Qualifications:

  • 10+ years experience working in Unix/Linux from kernel to shell, file systems, client-server protocols, etc.
  • 8+ years coding experience and can utilize various languages (We focus and build tooling and automation using Python, GoLang and Java.)

Other Qualifications:

  • Experience in designing, analyzing, and troubleshooting large-scale distributed systems built on technologies like Spark, YARN, Hadoop, Kubernetes
  • Experience building infrastructure and tooling in the cloud and using managed services where possible, we focus on AWS
  • Experience building immutable services and functions utilizing Docker, Kubernetes and Serverless frameworks (AWS Lambda, API Gateway)
  • Experience in building Highly Available, Scalable, Reliable multi-tenanted big data applications on Cloud (AWS, GCP) and/or Data Center architectures.


Our Approach to Flexible Work
 

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. 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). 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.


At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email
[email protected].

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. 

  

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

  

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Top Skills

Api Gateway
AWS
Aws Lambda
Docker
Go
Hadoop
Java
Kubernetes
Python
Serverless Frameworks
Spark
Unix/Linux
Yarn

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