About this role
A Software Engineer at KPMG is a developer with the primary responsibility of writing automation frameworks, test and tools to validate the products.It combines the "building" aspect of software design engineering with the "breaking" aspect of software test engineering. The engineer will be writing code that automatically verifies the quality of the product. SE should be able to understand software internals, debug code, automate repetitive tasks, and implement new tools and frameworks needed to streamline our quality process with shift left approach and quality by design mindset. SE will work directly with both software engineers & program managers to understand project features, review technical designs, and implement automated test tools that help deliver quality features with efficiency. SE should understand application usage models and are able to develop test plans and test cases that approximate real-world environments and scenarios. Responsibilities: Engineering Ownership & Functional Correctness Take end-to-end ownership of correctness for complex business flows across UI, APIs, services, and databases Analyze product requirements and technical designs to identify functional gaps, edge cases, and failure scenarios Perform deep functional and exploratory validation with strong domain understanding Validate system behavior beyond happy paths, including data integrity, error handling, retries, and state consistency Automation as Engineering Design, build, and evolve scalable automation frameworks using Playwright with TypeScript Write clean, maintainable, well-architected automation code using engineering best practices Build reusable libraries for: Test data setup and teardown Auth/session handling Environment abstraction Reliable reporting and diagnostics Treat automation code with the same rigor as production services CI/CD & Platform Integration Integrate functional and regression suites into Azure DevOps CI/CD pipelines Enable validation at multiple stages (PR, merge, nightly, pre-release) Improve pipeline efficiency through parallelization, selective execution, and reliability enhancements Work closely with DevOps and platform teams on test infrastructure and execution strategy Performance & Scalability Engineering Design and execute performance, load, stress, and endurance tests using JMeter and/or LoadRunner Build and manage distributed performance test setups (controllers, agents, infrastructure) Analyze system behavior under load across: Application tier Databases Network and infrastructure Translate performance findings into actionable engineering feedback Database & Backend Systems Understanding Validate data correctness, transactions, and business rules at the database level Write and analyze complex SQL queries for validation, debugging, and test data creation Understand backend service interactions, asynchronous flows, and data propagation in distributed systems Use logs, metrics, and database behavior to debug functional and performance issues Collaboration & Technical Influence Work as a peer engineer with backend, frontend, platform, and SRE teams Participate actively in design reviews, architecture discussions, and backlog grooming Provide technical guidance and mentorship to junior engineers Influence engineering decisions by advocating for correctness, observability, and scale-readiness Qualifications:
• Bachelor’s degree in Computer Science or a related field from an accredited college/university.
• Strong backround in development with 5 years of hands on experience developing, testing, performance tuning of large scale systems built with C#, .NET, Javascript frameworks, SQL Server, scripting languages such as PowerShell, Python, etc.
• Experience with Playwright, JMeter, VSTS or any other automation & performance testing tools is required.
• Experience with agile engineering practices and tooling including CI/CD utilizing technologies such as Azure DevOps, Team City, Octopus, GitHub Actions is required.
• Knowledge of Microsoft Azure or other cloud platforms is a plus.
• Experience with monitoring, profiling, diagnostic tools and code quality tools for DAST and SAST will be a plus.
Responsibilities: Engineering Ownership & Functional Correctness Take end-to-end ownership of correctness for complex business flows across UI, APIs, services, and databases Analyze product requirements and technical designs to identify functional gaps, edge cases, and failure scenarios Perform deep functional and exploratory validation with strong domain understanding Validate system behavior beyond happy paths, including data integrity, error handling, retries, and state consistency Automation as Engineering Design, build, and evolve scalable automation frameworks using Playwright with TypeScript Write clean, maintainable, well-architected automation code using engineering best practices Build reusable libraries for: Test data setup and teardown Auth/session handling Environment abstraction Reliable reporting and diagnostics Treat automation code with the same rigor as production services CI/CD & Platform Integration Integrate functional and regression suites into Azure DevOps CI/CD pipelines Enable validation at multiple stages (PR, merge, nightly, pre-release) Improve pipeline efficiency through parallelization, selective execution, and reliability enhancements Work closely with DevOps and platform teams on test infrastructure and execution strategy Performance & Scalability Engineering Design and execute performance, load, stress, and endurance tests using JMeter and/or LoadRunner Build and manage distributed performance test setups (controllers, agents, infrastructure) Analyze system behavior under load across: Application tier Databases Network and infrastructure Translate performance findings into actionable engineering feedback Database & Backend Systems Understanding Validate data correctness, transactions, and business rules at the database level Write and analyze complex SQL queries for validation, debugging, and test data creation Understand backend service interactions, asynchronous flows, and data propagation in distributed systems Use logs, metrics, and database behavior to debug functional and performance issues Collaboration & Technical Influence Work as a peer engineer with backend, frontend, platform, and SRE teams Participate actively in design reviews, architecture discussions, and backlog grooming Provide technical guidance and mentorship to junior engineers Influence engineering decisions by advocating for correctness, observability, and scale-readiness
Qualifications:
• Bachelor’s degree in Computer Science or a related field from an accredited college/university.
• Strong backround in development with 5 years of hands on experience developing, testing, performance tuning of large scale systems built with C#, .NET, Javascript frameworks, SQL Server, scripting languages such as PowerShell, Python, etc.
• Experience with Playwright, JMeter, VSTS or any other automation & performance testing tools is required.
• Experience with agile engineering practices and tooling including CI/CD utilizing technologies such as Azure DevOps, Team City, Octopus, GitHub Actions is required.
• Knowledge of Microsoft Azure or other cloud platforms is a plus.
• Experience with monitoring, profiling, diagnostic tools and code quality tools for DAST and SAST will be a plus.