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Principal, Software Engineer

WM Global Technology Services India Private Limited

Full time
Experience
12+ years
Location
India
Work mode
Not stated
Salary
₹11L – ₹24L a year estimatetypical for IT Jobs in India, 962 posts
Posted 3 days ago Last checked 54 min ago

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Role at a glance

You will
  • Design, build, and operate large-scale batch and streaming data pipelines using Spark, Java, and Python, processing data at Walmart scale.
  • Apply strong software engineering fundamentals - clean architecture, automated testing, CI/CD, code review discipline - to data engineering…
  • Apply domain-oriented design, system design, and low-level design (LLD) rigor to ambiguous data and platform problems - evaluating…
Experience
12+ years
Education
Bachelor's degree
Must-have skills
AirflowBigQueryCI/CDData EngineeringData GovernanceData Modeling

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Job description

Location: India

## Position Summary...

## What you'll do...

**About Team**

GDF (Global Data Foundation) is part of Walmart's AI & Data organization - the team building the foundational data platforms that power AI, analytics, and decision-making across every Walmart banner and geography, from supply chain and merchandising to customer experience and enterprise AI agents. Our newly created platform team is chartered with building next-generation data infrastructure at Walmart scale: reliable, high-throughput data pipelines, distributed processing systems, and platform capabilities that downstream teams across Walmart depend on every day.

**What You'll Do**

  • Design, build, and operate large-scale batch and streaming data pipelines using Spark, Java, and Python, processing data at Walmart scale.
  • Apply strong software engineering fundamentals - clean architecture, automated testing, CI/CD, code review discipline - to data engineering work; this is a software engineering role that specializes in data, not a script-writing role.
  • Apply domain-oriented design, system design, and low-level design (LLD) rigor to ambiguous data and platform problems - evaluating dependencies, trade-offs, failure modes, scalability, cost, and long-term durability before writing a line of code.
  • Flex into platform/software engineering work when needed: build and maintain services, APIs, and distributed systems that data pipelines depend on, contributing directly to GDF's broader platform codebase.
  • Integrate AI, GenAI, and agentic capabilities directly into the data platform: embeddings/vector search for data discovery, LLM-assisted data quality and anomaly detection, agentic pipeline monitoring and self-healing, AI-assisted schema and lineage documentation.
  • Partner with data scientists and ML engineers to build feature pipelines, model-serving data paths, and the data infrastructure that MLOps depends on.
  • Own data quality, observability, and governance for the pipelines and datasets you build, with a strong Operational Excellence / Engineering Excellence discipline.
  • Participate in and lead architecture and design reviews spanning both data engineering and platform engineering domains.
  • As a Principal engineer, set technical direction and best practices across multiple teams and the broader GDF platform without needing a management title - mentor other engineers and influence GDF's broader data engineering standards.
  • Continuously evaluate emerging Big Data, cloud, and AI/agentic technologies, adopting them pragmatically where they improve reliability, productivity, or business value.

**What You'll Bring**

  • Genuinely hands-on coding: 12+ years of professional software engineering experience with significant hands-on data engineering at scale; strong proficiency in Java and Python is required, and strong working knowledge of Spark for distributed data processing is required, not optional. Additional experience with Go, C++, or Scala is a plus.
  • Operational Excellence (OE) and Engineering Excellence (EE) mindset is a required skill, not a nice-to-have: SLO/SLA ownership, incident management and blameless post-incident reviews, proactive reliability and quality metrics, and continuous improvement built into how you ship, not bolted on afterward.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • Deep experience with the Big Data ecosystem - Spark, Hadoop/HDFS, Hive, Kafka, workflow orchestration (Airflow or equivalent) - including batch and streaming processing, and large-scale data transformation.
  • Strong data platform fundamentals: data modeling, ETL/ELT pipeline design, data quality and observability, data governance, and integration with lakehouse architectures (e.g., Delta Lake, BigQuery, Databricks).
  • Full exposure to AI and Agentic technologies: hands-on experience integrating model APIs and GenAI/LLM tooling, building or operating agentic workflows (tool-calling agents, multi-step autonomous systems), working with embeddings/vector search, and applying MLOps practices (feature stores, model lifecycle, retraining pipelines) - not just conceptual awareness.
  • Working literacy in platform engineering: microservices, API design, Kubernetes or equivalent orchestration, CI/CD, and cloud-native practices - enough to flex into platform/software engineering work confidently.
  • Strong distributed systems fundamentals: event-driven patterns, service contracts, asynchronous processing, and fault tolerance at scale - paired with strong system design, domain-oriented design (DDD), and low-level design (LLD) skills, and demonstrated ability to evaluate trade-offs, failure modes, scalability, and cost when owning production code.
  • Strong software engineering craftsmanship: testing strategy, code review standards, design patterns, and system design for high-throughput data systems.
  • Proven ability to translate ambiguous data/business problems into clear technical execution plans, particularly across a newly formed platform organization without fully established process.
  • Strong ownership mindset and technical judgment; comfortable operating with high autonomy in a 0-to-1 environment.

**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 experts, 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.

**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. 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.

**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.

**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.**

Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 5 years’ experience in software engineering or related area.
Option 2: 7 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 3 years' experience in software engineering or related area., We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

## **Primary Location...**

Building 10 (sez), Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India

**About Walmart:**

Fifty years ago, Sam Walton started a single mom-and-pop shop and transformed it into the world's biggest retailer. Since those founding days, one thing has remained consistent: our commitment to helping our customers save money so they can live better. Today, we're reinventing the shopping experience and our associates are at the heart of it. You'll play a crucial role in shaping the future of retail, improving millions of lives around the world. *This is that place* where your passions meet purpose. Join our family and create a career you're proud of.

Job data: Headcount Labs (headcountlabs.com), ODbL 1.0. The job description belongs to the employer. Location data © OpenStreetMap contributors and Overture Maps.

Key skills

Required

AirflowBigQueryCI/CDData EngineeringData GovernanceData ModelingDatabricksDesign PatternsDomain-Driven Design (DDD)ELTETLHadoopJavaKafkaKubernetesMLOpsMicroservicesPythonSystem Design

Preferred

C++Incident ManagementScalaService Level Agreements (SLA)Web Accessibility (WCAG)Go

Soft skills

Ownership

Job market insights

264active Airflow jobs in India
183active BigQuery jobs in India
2,444active CI/CD jobs in India
₹11L – ₹24L advertised yearly salary for IT Jobs in India (middle half of 962 posts that show a salary; median ₹17L)

Jobs asking for Airflow in India also ask for

  • Python77%
  • SQL64%
  • AWS58%
  • CI/CD49%
  • Data Engineering46%

From live job posts on CoreHRx, updated 6 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Principal, Software Engineer job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹24L a year (typical for IT Jobs in India, 962 posts).

How much experience does this job need?

The post asks for 12 Yrs experience.

What kind of job is this?

It is a full time job.

This guide is for Indian job seekers preparing for Java backend roles, from freshers facing campus and first-job interviews to experienced developers moving into senior positions at product companies and IT services firms. It covers what interviewers ask most in 2025 and 2026 on Java 17 and 21 and Spring Boot 3: OOP, collections, equals and hashCode, streams, exceptions, concurrency and JVM memory, then dependency injection, auto-configuration, REST controllers, validation, JPA and Hibernate, security, microservices and testing. Questions are grouped as easy, medium and hard. Read each answer, compile the code yourself and practise explaining it aloud.

Questions you may be asked

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  2. What is the difference between an abstract class and an interface in Java?
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