Nike
Website:
nike.com
Job details:
Who We Are Looking For
If you’re ready to innovate and lead in the Digital world, join Nike’s Global Technology - Geographies And Marketplace Experiences Organization. We bring together technology and process expertise to deliver the next generation of applications for Shared Platforms Services. You are responsible for building next generation tools and services that serve consumer ready product information to Nike experiences and back end teams. We are in the process of modernizing our entire product data platform, building scalable applications and services in the cloud. Our operations tools are used by hundreds of users across the globe to plan, prepare, and activate Nike products across multiple Nike consumer experiences. Our product data services are being updated to unlock Omni-channel business cases, and support billions of API calls per month. This is a team that’s always on the offense, working on innovative solutions and building world class solutions to serve Nike teams and consumers around the globe.
We are seeking an experienced Quality & Automation Engineering professional at the Senior Software Engineer level to lead quality assurance strategies, automation frameworks, performance and reliability testing, and enable continuous improvement of our digital services. You will join the engineering excellence team within Shared Platforms Services to design, implement, and sustain a high-quality, scalable and automated test ecosystem that ensures product integrity and availability at scale.
What You Will Work On
As a Senior Software Engineer - Quality & Automation, you will be part of the Shared Platforms Technology Engineering team, which is responsible for building next generation tools and services that serve consumer ready product information to Nike experiences and back-end teams.
In this role, you will
- Define and drive quality strategy for Shared Platforms Services, with a focus on automation and scalability
- Participate in technical development and delivery of backend cloud native microservices, with a quality-first mindset for development and testing
- Build and maintain automated test frameworks for functional, regression, integration, performance, security, and API testing
- Collaborate with product and engineering teams to design, develop, and deploy robust test suites for the digital asset management system and related services
- Partner with developers to enable testability by design, perform thorough code reviews focused on quality, and mentor engineers on quality best practices
- Ensure quality of the code and products throughout the entire development lifecycle (DevOps) by integrating quality gates into CI/CD pipelines (Jenkins, GitHub Actions)
- Leverage GenAI powered capabilities (RAG, prompt driven workflows, MCP and spec driven architectures) to accelerate test generation, defect detection, and intelligent test design
- Implement and continuously improve performance, scalability, extensibility, reliability, usability, and availability testing across services
- Leverage agile methodology concepts for quality delivery and continuous improvement
- Participate in sprint planning and other scrum ceremonies, and work with team to estimate and plan quality-related tasks
- Work in full DevOps model in the entire tech stack including designing, implementing, deploying, monitoring, and operating services at scale, ensuring proper observability and operational readiness
- Resolve technical quality issues and remove blockers for the team
- Own build, test, release, and production quality support for team-owned capabilities, ensuring stability, incident resolution, and continuous improvement
- Implement strong observability and operational readiness using Splunk and SignalFx, including monitoring and alerting, to identify quality risks early
- Integrate automated tests into CI/CD pipelines to enable continuous testing and rapid feedback
- Drive quality engineering best practices and advocate for an automation-first testing mindset across teams
- Analyze test failures, troubleshoot issues, and continuously improve test reliability and maintainability
- Measure and improve automation coverage with a focus on reducing manual validation effort and accelerating release cycles
Who You Will Work With
You will be reporting to the Engineering Manager at Geographies & Marketplace Experiences - India Technology Center, who will guide you to grow and build your career path. You will be directly working within a team of dedicated engineers that work on the same solutions. You share your experience and technical expertise such that we improve on the longer-term technical strategic direction.
What You Bring
As a Senior Software Engineer - Quality & Automation for the Geographies & Marketplace Experiences team, you will be part of a mission critical team focused on ensuring the highest quality of a high-throughput, low-latency, fault-tolerant Order Management platform that drives Nike's Digital transformation and growth strategies.
- A minimum of 7+ years of experience in software quality engineering, test automation, or software development with a strong focus on quality
- Experience working in a highly collaborative, multi-discipline development team environment
- Experience working in a distributed/cloud-based environment (e.g. AWS Services, GCE, Azure etc.)
- Experience in microservice architecture, domain driven design, and RESTful Services using Java and Spring Boot framework, with ability to test at API level and integrate with unit test frameworks
- Independently drive end-to-end quality assurance and test automation project execution, owning design, development, cross-team coordination, and delivery
- Demonstrate an AI-first mindset, actively leveraging AI powered developer and test tools (e.g., Cursor) to accelerate development, test creation, execution and learning
- Experience in Test Driven development (TDD) and Behaviour Driven Development (BDD) – with JUnit, Mockito, Cucumber, Playwright, Selenium, TestNG or similar tools
- Experience with observability, monitoring and tracing tools like NewRelic, Splunk, SignalFx, Kibana/Grafana etc. to capture quality metrics
- Experience working with NoSQL data stores like DynamoDB and relational data stores like MySQL, Oracle etc., with ability to verify data correctness at scale
- Experience with continuous integration, unit testing, static analysis, automated integration tests, and continuous delivery processes. Continuous integration tools (Jenkins) and GitHub workflows for quality gates
- Working knowledge of Scrum and agile principles, with experience in agile QA practices
- Working in a fast-paced, results-oriented environment with globally distributed and diverse teams
- Demonstrate end-to-end ownership of quality engineering initiatives that includes requirements evaluation, test design, implementation, code reviews, observability, maintenance and support
- Excellent verbal and written communication and collaboration skills to effectively communicate with both business and technical teams
- Bachelor’s degree in computer science, Information Systems, or other relevant subject area, or equivalent experience
- Observability and operational readiness using Splunk and SignalFx, including monitoring and alerting for quality assurance
- Experience delivering Generative AI–based solutions or projects is a plus
The Following Would Be Nice-to-have
- Experience in designing and implementing highly scalable automated test frameworks and web applications
- Exposure to eCommerce and Supply Chain domain areas like order management, fulfilment, and warehouse management – especially quality aspects therein
- Experience as a Full Stack Developer or familiarity with front-end applications (React, Angular) enabling end-to-end quality coverage
- Experience in performance and security testing tools like JMeter, Gatling, OWASP ZAP etc.
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