Staff Software Engineer

Walmart

. Architect and build large-scale personalization systems, including real-time recommendation engines, feature stores, ML model-serving pipelines, and experimentation platforms .

Posted 9/22/2026full-timeBangalore • IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in architecting and building large-scale personalization systems, with a strong focus on real-time recommendation engines and ML model-serving pipelines. Proven ability to lead complex projects, mentor engineers, and translate technical strategies into measurable business outcomes.

Highest-signal resume keywords

Backend Engineering ExperienceJava, Kotlin, Python, or Go ExpertiseMicroservices ArchitectureKubernetes and Kafka ProficiencyML Model Serving Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Large-Scale Distributed Systems DesignReal-Time Feature EngineeringRecommendation AlgorithmsSQL and NoSQL DatabasesA/B Testing Infrastructure

Soft Skills

Clear CommunicationMentoring and Coaching

Tools & Technologies

GCPAzurePostgreSQLCassandraRedisElasticsearchTensorFlow ServingTorchServe

Industry Keywords

Personalization SystemsExperimentation PlatformsObservabilityReliabilityChaos Testing

Tech Stack

Tools & technologies

AzureCassandraCloudDistributed SystemsElasticSearchGoogle Cloud PlatformJavaKafkaKotlinKubernetesMicroservicesNoSQLPostgresPythonRedisSQLTensorflowGo

About the role

Key responsibilities & impact

Architect and build large-scale personalization systems, including real-time recommendation engines, feature stores, ML model-serving pipelines, and experimentation platforms
Design systems handling millions of concurrent requests with p99 latency below 100ms across international markets
Set architectural direction and define best practices for the P13N platform
Conduct design reviews and champion observability, reliability, SLOs, error budgets, chaos testing, and production excellence
Partner with Data Science and ML Engineering to productionize models and optimize inference pipelines
Build A/B testing infrastructure and connect offline training with online serving
Collaborate with Product, Platform, SRE, and partner teams across US and international markets
Translate personalization strategy into technical roadmaps and measurable business outcomes
Mentor senior and mid-level engineers through pairing, design sessions, and code reviews
Raise the technical bar and foster learning, experimentation, and continuous improvement

Requirements

What you’ll need

8+ years of backend engineering experience
Deep expertise in Java, Kotlin, Python, or Go
Proven track record designing, building, and operating large-scale distributed systems in production
Hands-on experience with microservices architecture, Kubernetes, Kafka, cloud platforms (GCP/Azure), and SQL and NoSQL databases including PostgreSQL, Cassandra, Redis, and Elasticsearch
Familiarity with ML model serving, including TensorFlow Serving and TorchServe
Familiarity with feature stores, real-time feature engineering, experimentation platforms, and recommendation/ranking algorithms
Demonstrated ability to lead architecture and design for complex, multi-team projects
Ability to influence across engineering, data science, and product organizations
Clear, concise communication through RFCs, design documents, and executive summaries
Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience; OR 6 years' experience in software engineering or related area
Must work from the Bangalore office for daily work

Benefits

Comp & perks

Incentive awards for performance
Maternity and parental leave
PTO
Health benefits