Position Summary...
Job Summary We are seeking a Staff Software Engineer — Backend to join the International Personalization (P13N) team within International Tech. In this role, you will lead the design and development of high-scale backend systems that power personalized experiences — including real-time recommendation engines, feature stores, ranking services, and experimentation platforms — serving hundreds of millions of customers across Walmart's international markets. With 8+ years of backend engineering experience, you will operate at the intersection of distributed systems and machine learning, building low-latency serving infrastructure that processes millions of events per second and delivers sub-100ms personalization decisions. You'll set architectural direction, drive engineering excellence, mentor engineers, and partner closely with Data Science and ML Engineering teams to productionize models and optimize the end-to-end personalization stack. This is a high-impact technical leadership role for an engineer who combines deep systems expertise with a passion for building intelligent, data-driven products at global scale.
What you'll do...
About the team
The International Personalization team is part of Walmart's International Tech organization, responsible for building the intelligent systems that make every customer interaction across Walmart's global markets feel uniquely relevant. We own the end-to-end personalization stack — from real-time feature pipelines and ML model serving to recommendation engines, search ranking, and experimentation platforms — powering experiences for hundreds of millions of customers across 19+ countries. Our team operates at the intersection of backend engineering, data science, and product innovation, tackling some of the most challenging problems in large-scale personalized commerce. We are a collaborative, globally distributed group of engineers and scientists who value technical excellence, data-driven decision-making, and a culture of continuous learning. If you're passionate about building systems that directly shape how customers discover and engage with products at massive scale, this is the team for you.
**What You’ll Do **
- Architect & build large-scale personalization systems — design real-time recommendation engines, feature stores, ML model serving pipelines, and experimentation platforms that handle millions of concurrent requests with strict latency SLAs (p99 < 100ms) across international markets
- Drive technical strategy & engineering excellence — set architectural direction for the P13N platform, define best practices across teams, conduct design reviews, and champion observability, reliability, and production excellence (SLOs, error budgets, chaos testing)
- Bridge ML and backend engineering — partner closely with Data Science and ML Engineering to productionize models, optimize inference pipelines, build A/B testing infrastructure, and close the loop between offline training and online serving
- Lead cross-functional initiatives — collaborate with Product, Platform, SRE, and partner teams across US and international markets to translate personalization strategy into technical roadmaps that drive measurable business outcomes
- Mentor & elevate the team — coach senior and mid-level engineers through pairing, design sessions, and thoughtful code reviews; raise the technical bar and foster a culture of learning, experimentation, and continuous improvement.
**What You’ll bring **
- 8+ years of backend engineering experience — deep expertise in Java, Kotlin, Python, or Go, with a proven track record of designing, building, and operating large-scale distributed systems in production, ideally for personalization, recommendations, search ranking, or ML-serving workloads
- Strong distributed systems & cloud-native skills — hands-on experience with microservices architecture, Kubernetes, Kafka, cloud platforms (GCP/Azure), and databases across SQL and NoSQL paradigms (PostgreSQL, Cassandra, Redis, Elasticsearch)
- Personalization & ML platform exposure — familiarity with ML model serving (TensorFlow Serving, TorchServe), feature stores, real-time feature engineering, experimentation platforms, and recommendation/ranking algorithms
- Technical leadership at scale — demonstrated ability to lead architecture and design for complex, multi-team projects; influence without authority across engineering, data science, and product organizations
- Strong communication & mentorship mindset — clear, concise communicator (RFCs, design docs, executive summaries) with a genuine passion for growing engineers and building diverse, inclusive teams
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Work
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 office for daily work, with the flexibility for associates to manage their personal lives.
Benefits
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
Belonging
We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.
At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.
Equal Opportunity Employer
Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.
Minimum Qualifications...
__Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. __
Minimum Qualifications:Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.Option 2: 6 years’ experience in software engineering or related area.
Preferred Qualifications...
__Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. __
Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area
Primary Location...
Block- 1, Prestige Tech Pacific Park, Sy No. 38/1, Outer Ring Rd Kadubeesanahalli , India