(IND) STAFF, SOFTWARE ENGINEER
Walmart Labs · Bengaluru · onsite · Posted 23d ago
Not disclosed8–10 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
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
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
Sourced from foundit
Skills
Kubernetesreal-time feature engineeringrecommendation ranking algorithmsPostgresqlApache Kafkagoogle cloud platformcassandraelastic searchredisTensorflow ServingGolangKotlinTorchServePythonJavaMicroservicesMicrosoft AzureML Model Serving
About Walmart Labs
Walmart Labs
₹44.8L PA avg
Avg at Walmart Labs
About
If you??re thinking ??scale??, think bigger and don??t stop there. At Walmart Global Tech India, we don??t just innovate, we enable transformations across stores and different channels for the Walmart experience. A regular day at Walmart Global Tech India means using technology to deliver leading-edge innovations for the biggest retailer in the world - Walmart. Our innovations ensure a seamless experience for 275 million customers per week, across 11,300 stores under 58 banners in 27 countries and eCommerce websites in 10 countries.
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