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Director of Software Engineering, Big Data — Walmart
Lead Walmart’s Big Data platforms for large-scale retail analytics and AI from Bangalore. Set engineering direction for distributed systems and agentic AI development.
विवरण
- Define the technical vision and roadmap for Big Data offerings.
- Improve the reliability, scalability, and security of Big Data offerings.
- Work with business leaders and engineering teams to align offerings with enterprise goals.
- Develop a high-performing engineering team through mentoring, sound practices, and continuous improvement.
- Lead delivery of moderately complex software, data, and machine learning systems.
- Turn domain strategies into system-level implementation plans.
- Prioritize the backlog, plan team capacity, and optimize systems.
- Oversee the full software development lifecycle across multiple teams.
- Promote DevOps practices, observability tools, and system health metrics.
- Optimize cloud costs and reduce operational overhead.
- Work with product and data teams on AI- and machine-learning-enabled systems, including agentic systems.
- Guide AI integration using Python, Java, Rust, and Dart.
- Integrate AI agents for search, automation, and decision support.
- Coordinate engineering dependencies and project delivery across products and services.
- Align roadmaps and milestones with organizational priorities.
- Use generative AI tools such as ChatGPT for planning, risk mitigation, and reporting.
- Ensure deliverables meet quality standards and business objectives.
- Resolve issues and bring projects to completion.
आवश्यकताएँ
- Bachelor’s degree in computer science, computer engineering, computer information systems, software engineering, or a related field, plus 6 years of software engineering or related experience; alternatively, 8 years of software engineering or related experience.
- At least 3 years of supervisory experience.
- More than 15 years of software engineering experience.
- At least 5 years of leadership or management experience as a manager of managers and with Principal or Staff Engineers, overseeing teams of 20 or more.
- Understanding of computer science fundamentals, microservices, agentic AI, data structures, algorithms, and problem solving.
- Hands-on experience with Java, Python, Kafka, Spark, Hive, Airflow, Trino, Druid, and Pinot.
- Strong working knowledge of cloud-native distributed systems development; Azure, Google Cloud Platform, and WCNP are preferred.
- Experience managing software development engineers, engineering leaders, and architects.
- Experience leading engineering projects and applying system design.
- Experience collaborating with cross-functional teams, scrum teams, QA, Release Management, Program Management, and TechOps.
- Experience designing, developing, and scaling software platforms for large user bases.
- Ability to make platform-focused decisions in complex environments.
- Experience working with geographically distributed teams.
- Strong business judgment and problem-solving skills.
- Excellent leadership and communication skills.
- Commitment to mentoring and developing engineering talent.
- benefits
लाभ
- Performance-based incentive awards.
- Maternity and parental leave.
- Paid time off.
- Health benefits.
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