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The Teflon/Data team organised around five core tracks— Pre-Teflon Testing, Teflon Gating, Teflon Reliability Next Gen, Teflon Data Automation, and Quality Hub —with the collective goal of aggressively transforming the Teflon environment into a near-production-ready state. The team focuses on shifting quality left by implementing proactive testing, strict automated policy gating, self-healing reliability, and automated test-data generation, all while using the Quality Hub as the centralised metrics engine to track overall health and blockages. As the Technical Program Manager (TPM) , your role is to orchestrate and oversee these cross-functional efforts. You will be responsible for aligning deliverables across all five tracks, mapping critical path dependencies, tracking progress against our near-production milestone, and leveraging the Quality Hub's data to remove operational bottlenecks and provide clear visibility to leadership.
Define and drive multi‑year technical strategies across environment management, data readiness, test orchestration, and AI‑enabled engineering workflows.
Partner with Distinguished Engineers, Architects, and Directors to align roadmaps, system designs, and platform capabilities.
Build execution frameworks that scale across dozens of teams and hundreds of services.
Translate ambiguous, systemic engineering problems into structured, measurable, cross‑functional programs.
Lead modernization of Walmart’s non‑prod and prod‑like environments, including: Multi‑region environment topology design Infra‑as‑code adoption (Terraform, Pulumi, CloudFormation) Automated provisioning, teardown, and environment drift detection Service virtualization, synthetic traffic, and shadow testing Environment observability (latency, saturation, error budgets, dependency graphs)
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Multi‑region environment topology design
Infra‑as‑code adoption (Terraform, Pulumi, CloudFormation)
Automated provisioning, teardown, and environment drift detection
Service virtualization, synthetic traffic, and shadow testing
Environment observability (latency, saturation, error budgets, dependency graphs)
Partner with SRE and platform teams to reduce environment instability, configuration drift, and cross‑service integration failures.
Drive systemic improvements that reduce environment‑related defects and release delays.
Lead cross‑org programs around data readiness, data quality, and data pipeline reliability.
Drive adoption of: Data lineage and metadata management Schema evolution governance Data quality SLAs and automated anomaly detection Data observability platforms (freshness, completeness, distribution, volume)
Data lineage and metadata management
Schema evolution governance
Data quality SLAs and automated anomaly detection
Data observability platforms (freshness, completeness, distribution, volume)
Ensure data availability and correctness for E2E testing, analytics, and production workloads.
Partner with data engineering, platform, and product teams to align data contracts and enforce data governance standards.
Architect and drive E2E testing strategy across complex, distributed systems.
Define cross‑team standards for: Test environment readiness Test data generation and masking Integration and contract testing E2E test orchestration and parallelization Quality gates, defect triage, and RCA workflows
Test environment readiness
Test data generation and masking
Integration and contract testing
E2E test orchestration and parallelization
Quality gates, defect triage, and RCA workflows
Lead programs that reduce flaky tests, integration failures, and late‑cycle defects.
Partner with QE and engineering to build scalable, automated E2E pipelines.
Lead programs that embed AI/ML into engineering workflows, including: Predictive environment health scoring AI‑assisted defect classification and RCA Intelligent test selection and prioritization Automated test data generation using generative AI AI‑powered dashboards for dependency risk, release readiness, and quality signals
Predictive environment health scoring
AI‑assisted defect classification and RCA
Intelligent test selection and prioritization
Automated test data generation using generative AI
AI‑powered dashboards for dependency risk, release readiness, and quality signals
Partner with AI/ML engineering teams to design and deploy models that reduce manual toil and accelerate delivery.
Establish governance, safety, and ethical guidelines for AI usage in engineering operations.
Influence engineering, product, operations, and business leaders through data‑driven insights and technical clarity.
Drive decision‑making frameworks that balance reliability, velocity, and architectural integrity.
Provide executive‑ready communication on program health, risks, and strategic recommendations.
Build alignment across organizations with competing priorities and complex dependencies.
Define KPIs, SLIs/SLOs, and program‑level metrics that measure environment stability, data quality, and testing efficiency.
Identify systemic bottlenecks and drive long‑term architectural and operational improvements.
Champion automation, standardization, and tooling that increase developer velocity and reduce operational friction.
Build scalable governance models that ensure consistency across hundreds of teams.
10+ years of technical program management or engineering leadership experience.
Deep understanding of distributed systems, cloud infrastructure, CI/CD, and platform engineering.
Strong technical depth in environment management, data engineering, and large‑scale testing.
Experience driving AI/ML‑enabled automation or intelligent engineering workflows.
Ability to influence architecture and technical decisions across multiple organizations.
Exceptional communication skills with the ability to simplify complex technical concepts for executives.
Bachelor’s degree in computer science, Engineering, or related field (Master’s preferred).
Experience in retail, e‑commerce, supply chain, or large‑scale consumer platforms.
Familiarity with Walmart’s tech stack, cloud platforms, and enterprise systems.
Background in SRE, reliability engineering, or platform modernization.
Experience with MLOps, feature stores, or AI observability.
About Walmart Global Tech “Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.” This is the impact you create at Walmart Global Tech. We are a global team of software engineers, data scientists, cybersecurity experts, and service professionals building the future of retail. We innovate at scale, solve complex problems, and empower people through technology. Whether you’re early in your career or looking for the opportunity that defines it, Walmart Global Tech offers the platform to grow, learn, and make an impact that reaches millions.
Walmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our [Bangalore/Chennai] office for daily work, with the flexibility for associates to manage their personal lives.
Benefits In addition to competitive compensation, you may receive performance based incentive awards. Walmart offers best in class benefits including maternity and parental leave, PTO, health benefits, and more. Belonging We strive to create a workplace where every associate feels valued and included. Our culture is rooted in respect for the individual and a commitment to opportunity for all. By fostering belonging, we strengthen our business, better serve our customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc. is an equal opportunity employer—by choice. We believe we are best equipped to help our associates, customers, and communities live better when we understand, respect, and value diverse backgrounds, experiences, and perspectives.
Global retail, e-commerce, and supply chain corporation.
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Senior · 10+ years experience
Hybrid
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