Position Summary...

What you'll do...
What you'll do...
The Mobile Performance Engineering team is responsible for building observability tools that give engineers deep, actionable insight into the runtime behavior of Walmart's consumer-facing mobile applications. MappWhiz is our in-house mobile profiling library - an instrumentation engine that integrates directly into automated test pipelines to continuously monitor CPU consumption, memory pressure, battery drain, call stacks, and UI jank across real and cloud-hosted Android and iOS devices. Our mission is to give every mobile engineer at Walmart the ability to detect and eliminate regressions before they reach customers at scale, and to push that mission further with intelligent, AI-driven performance analysis.

About Team:
Our team operates at the intersection of performance engineering, test infrastructure, and mobile platform development. We own and evolve MappWhiz end-to-end - from low-level device instrumentation and native profiler binaries, to the cloud device orchestration layer on Sauce Labs, to the Grafana/KairosDB dashboards engineers rely on to track performance trends over time. We are actively building Agentic AI capabilities into our tooling to automate root cause analysis, surface anomalies intelligently, and reduce the manual overhead of performance triage. We collaborate closely with Android and iOS app teams, QE infrastructure, DevOps, and data engineering. If you are passionate about making software faster and more efficient, curious about AI-assisted engineering, and excited to grow inside a team shaping the future of mobile performance observability - this is the right place for you.

What you'll do:

• Develop and maintain core MappWhiz profiling components - including performance monitoring, session management, and profiling orchestration - ensuring high reliability and low overhead during automated test runs.
• Implement new profiling capabilities such as native heap dump analysis, UI trace collection (Perfetto / Instruments), call stack recording, and log correlation across Android and iOS platforms.
• Build and extend integrations with mobile device tooling (ADB for Android, Xcode Instruments / libimobiledevice for iOS) and cloud device platforms (Sauce Labs) for both local and cloud-based test execution.
• Contribute to test framework support across Appium, TestNG, JUnit, XCTest, and internal automation frameworks, making profiling instrumentation seamless for consuming teams on both platforms.
• Contribute to and extend the metrics pipeline - including KairosDB time-series data models and Grafana dashboards - ensuring metrics are accurately tagged by device, OS platform, app version, scenario, and iteration.
• Work on the reporting and analysis layer, helping deliver actionable regression detection and performance optimization recommendations via HTML reports and notification pipelines (Slack, email).
• Explore and contribute to Agentic AI features - such as LLM-assisted anomaly detection and intelligent performance recommendations - that layer on top of collected profiling data; prior exposure is a plus, but strong curiosity and willingness to learn are equally valued.
• Participate actively in code reviews, contribute to engineering standards, and support junior engineers through pair programming and knowledge sharing.
• Partner with Android and iOS app teams to onboard them onto MappWhiz, gather their profiling requirements, and help translate them into library improvements.
• Support CI/CD pipeline integration to run continuous performance profiling on every build, enabling proactive detection of performance regressions before production release.

What you'll bring:

• Bachelor's degree or higher in Computer Science, Software Engineering, or equivalent professional experience.
• 4-7 years of software engineering experience, with demonstrated strength in Java or Python (proficiency in either is required; familiarity with both is a plus).
• Fair understanding of Android and iOS mobile development and testing - including platform-specific build systems, debugging tools, and device management workflows (ADB, Xcode, Simulator/Emulator).
• Experience with or genuine interest in mobile performance engineering and profiling - including CPU, memory, battery, and UI rendering analysis; candidates actively growing into this specialization are encouraged to apply.
• Working knowledge of mobile test automation frameworks such as Appium, Selenium WebDriver, TestNG, JUnit, or XCTest.
• Familiarity with time-series databases (KairosDB, InfluxDB, or similar) and dashboarding/observability tools (Grafana, DataDog, or equivalent).
• Familiarity with cloud device testing platforms such as Sauce Labs, BrowserStack, or Firebase Test Lab.

A demonstrated appetite for learning new technologies quickly and adapting to new environments - someone who gets energized by evolving toolchains and greenfield problems.

Preferred Qualifications:Proficiency in both Java and Python.

• Exposure to or interest in Agentic AI, LLMs, or AI-assisted developer tooling - hands-on experience with frameworks such as LangChain, LangGraph, AutoGen, or CrewAI is a strong differentiator.
• Experience with native memory profiling tools such as Android Memory Profiler, Heaptrack, Xcode Instruments Memory Graph, or MAT.
• Familiarity with log aggregation platforms (OpenObserve, OpenTelemetry, ELK stack).
• Knowledge of Kotlin or Swift for deeper collaboration with mobile app engineering teams.
• Experience with 24x7 continuous testing infrastructure and CI/CD reliability practices.
• Strong written communication skills for technical documentation, runbooks, and onboarding guides.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

For information about PTO, see https://one.walmart.com/notices.

Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

For information about benefits and eligibility, see One.Walmart.

The annual salary range for this position is $117,000.00 - $234,000.00

Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include :

- Stock
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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

What you'll do:
The Mobile Performance Engineering team is responsible for building observability tools that give engineers deep, actionable insight into the runtime behavior of Walmart's consumer-facing mobile applications. MappWhiz is our in-house mobile profiling library - an instrumentation engine that integrates directly into automated test pipelines to continuously monitor CPU consumption, memory pressure, battery drain, call stacks, and UI jank across real and cloud-hosted Android and iOS devices. Our mission is to give every mobile engineer at Walmart the ability to detect and eliminate regressions before they reach customers at scale, and to push that mission further with intelligent, AI-driven performance analysis.

About Team:
Our team operates at the intersection of performance engineering, test infrastructure, and mobile platform development. We own and evolve MappWhiz end-to-end from low-level device instrumentation and native profiler binaries, to the cloud device orchestration, to the Grafana/KairosDB dashboards engineers rely on to track performance trends over time. We are actively building Agentic AI capabilities into our tooling to automate root cause analysis, surface anomalies intelligently, and reduce the manual overhead of performance triage. We collaborate closely with Android and iOS app teams, QE infrastructure, DevOps, and data engineering. If you are passionate about making software faster and more efficient, curious about AI-assisted engineering, and excited to grow inside a team shaping the future of mobile applications performance observability - this is the right place for you.

What you'll do:
Develop and maintain core MappWhiz profiling components - including performance monitoring, session management, and profiling orchestration - ensuring high reliability and low overhead during automated test runs.
Implement new profiling capabilities such as native heap dump analysis, UI trace collection (Perfetto / Instruments), call stack recording, and log correlation across Android and iOS platforms.
Build and extend integrations with mobile device tooling (ADB for Android, Xcode Instruments / libimobiledevice for iOS) and cloud device platforms for both local and cloud-based test execution.
Contribute to test framework support across Appium, TestNG, JUnit, XCTest, and internal automation frameworks, making profiling instrumentation seamless for consuming teams on both platforms.
Contribute to and extend the metrics pipeline - including KairosDB time-series data models and Grafana dashboards - ensuring metrics are accurately tagged by device, OS platform, app version, scenario, and iteration.
Work on the reporting and analysis layer, helping deliver actionable regression detection and performance optimization recommendations via HTML reports and notification pipelines (Slack, email).
Explore and contribute to Agentic AI features - such as LLM-assisted anomaly detection and intelligent performance recommendations - that layer on top of collected profiling data; prior exposure is a plus, but strong curiosity and willingness to learn are equally valued.

Participate actively in code reviews, contribute to engineering standards, and support junior engineers through pair programming and knowledge sharing.

Partner with Android and iOS app teams to onboard them onto MappWhiz, gather their profiling requirements, and help translate them into library improvements.

Support CI/CD pipeline integration to run continuous performance profiling on every build, enabling proactive detection of performance regressions before production release.

What you'll bring:
Bachelor's degree or higher in Computer Science, Software Engineering, or equivalent professional experience.
4-7 years of software engineering exper