Software Development Engineer in Test at Workday

Chennai, Tamil Nadu, India

Workday Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AI, HR TechIndustries

Requirements

  • 8+ years of experience as an SDET (Software Development Engineer in Test), with a focus on architecting and building test automation solutions, performance testing frameworks, and CI/CD pipelines for quality assurance
  • 4+ years of hands-on experience utilizing various programming languages (including Python), test automation frameworks, and performance testing tools
  • 1+ years of experience testing AI/ML solutions
  • Bachelor’s degree in a relevant discipline such as Computer Science, Engineering, or a related field, or equivalent practical experience
  • Strong ability in Algorithmic Thinking to design, implement, and optimize complex Test Automation Frameworks
  • Solid experience with Automated Testing, specifically designing and executing comprehensive test strategies for ML models and AI-driven features, covering data validation, performance benchmarking, bias detection, and ensuring agent accuracy and reliability
  • Strong proficiency in Python and other relevant programming languages for test automation and tool development
  • Solid understanding of Software Development principles and experience contributing to software projects
  • Strong understanding of CI/CD pipelines and proven experience integrating and optimizing automated testing within the delivery process
  • Solid experience with Source Control Management (SCM) tools and advanced branching and merging strategies
  • Deep understanding of various Testing Strategies and Test Design principles, including the ability to create complex test cases and design comprehensive automation approaches

Responsibilities

  • Designing, implementing, and executing comprehensive test strategies for ML models and AI-driven features, including data validation, performance benchmarking, bias detection, and ensuring the accuracy and reliability of intelligent agents
  • Collaborating closely with MLOps and Product QA
  • Understanding the broader product strategy
  • Contributing to the software development lifecycle
  • Taking ownership of ML projects to deliver significant business impact

Skills

Key technologies and capabilities for this role

Software TestingTest AutomationMachine LearningAIData ValidationPerformance BenchmarkingBias DetectionMLOpsProduct QA

Questions & Answers

Common questions about this position

What experience level is required for this SDET role?

The role requires 8+ years of experience as an SDET focusing on architecting test automation solutions, performance testing frameworks, and CI/CD pipelines, plus 4+ years with programming languages including Python, test automation frameworks, and performance testing tools, and 1+ year testing AI/ML solutions.

What are the key technical skills needed for this position?

Key skills include strong algorithmic thinking to design and optimize test automation frameworks, experience with performance testing tools, CI/CD pipelines, and testing AI/ML solutions including data validation, performance benchmarking, and bias detection.

What is the company culture like at Workday?

Workday's culture is rooted in integrity, empathy, and shared enthusiasm, with a focus on collaboration, tackling big challenges with bold ideas, and supporting employees through trust, growth tools, and long-term investment.

What team will I be working with in this role?

You'll join the highly collaborative Machine Learning and Data Team in Workday Peakon, working closely with Product Managers, Developers, Designers, MLOps, and Product QA to deliver AI-driven features.

What education is required for this position?

A Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience is required.

Workday

Cloud applications for finance and HR management

About Workday

Workday provides enterprise cloud applications that focus on finance and human resources for medium to large-sized businesses across various industries. Its main products include Workday Human Capital Management, Workday Financial Management, Workday Adaptive Planning, and Workday Student, which help organizations manage their workforce and streamline financial operations. The software operates on a subscription model, allowing clients to pay a recurring fee based on the number of users and specific modules needed. This model supports continuous updates and improvements to the software. Workday stands out from competitors due to its strong emphasis on customer satisfaction and employee engagement, offering tools like Workday Peakon Employee Voice to enhance workforce experience. The company's goal is to provide essential tools that improve operational efficiency and support businesses in managing their human resources and financial operations effectively.

Pleasanton, CaliforniaHeadquarters
2005Year Founded
$209.4MTotal Funding
IPOCompany Stage
Consulting, Enterprise SoftwareIndustries
10,001+Employees

Benefits

Flexible Work Hours
Hybrid Work Options
Performance Bonus
Stock Options
Professional Development Budget
Conference Attendance Budget

Risks

Emerging HR tech startups like Buk could challenge Workday's market share.
Dependency on third-party platforms like Udemy may complicate service delivery.
Strategic shifts under new leadership could disrupt existing customer relationships.

Differentiation

Workday is a leader in cloud-based HCM and ERP solutions for large enterprises.
The company offers a subscription model ensuring steady revenue and continuous software updates.
Workday's focus on employee engagement tools like Peakon sets it apart in the market.

Upsides

Increased demand for cloud HCM solutions boosts Workday's market potential.
AI-driven analytics enhance Workday's financial management offerings with predictive insights.
Workday's partner ecosystem expansion, like with MetLife, opens new customer opportunities.

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