Staff Software Engineer in Search and BigData

Staff Software Engineer in Search and BigData

What you'll do at

Position Description
Responsibilities include:
• Design, develop, and implement large-scale distributed systems that process large volume of data; focusing on scalability, latency, and fault-tolerance in every system built.
• Design, develop, and operate web analytics solutions processing billions on daily clickstream events.
• Create systems that orchestrate and execute complex workflows in big-data pipelines.
• Evaluate and fine tune systems for speed, robustness, and cost efficiency.
• Create datasets, tools, and services supporting big data, search and machine learning operations.
• Own full life-cycle of business solutions – from requirements definition to launching in production.
• Troubleshoot business and production issues.
• Own multiple systems across the search big data platforms, and work with engineers, program managers, and engineering leaders to identify opportunities for business impact.
• Participate in setting a vision and objectives for the team in alignment with business and market needs.

Why you will love this job:
• Making an immediate impact on a global scale.
• Grow your career by being a key contributor on systems that runs on largest internet scale and process billions of data points daily.
• Work with many cutting-edge technologies, including big data, search, machine learning, containers at Walmart scale.
• Work alongside experts in search, big data, machine learning, analytics, and software engineering.

Minimum Qualifications

• Master's degree in Computer Science or related technical field.
• 5+ years of object-oriented programming experience in Java or Scala.
• 4+ years of experience in building of large scale data pipelines using big data technologies (i.e. Spark/Kafka/Cassandra/Hadoop/Hive/Presto/Airflow).
• 4+ years of experience in systems design, algorithms, and distributed systems.
• 3+ years of experience in scripting languages (e.g. Python), and SQL.

Preferred Qualifications

• Large scale distributed systems experience, including scalability and fault tolerance.
• Exposure to infrastructure management tech (Docker, Kubernetes)
• Exposure to cloud infrastructure, such as Open Stack, Azure, GCP, or AWS
• A continuous drive to explore, improve, enhance, automate and optimize systems and tools.
• Strong computer science fundamentals in data structures and algorithms
• Exposure to information retrieval, statistics and machine learning.
• Excellent oral and written communication skills.

About Walmart Labs

Imagine working in an environment where one experiment can catapult an entire industry toward a smarter future. That’s what we do at Walmart Labs. We’re a team of 5,000+ software engineers, data scientists, designers and product managers within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and our enterprise operates.

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You don’t have to choose between your career and your lifestyle in Silicon Valley. Here, you can have both.

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All the benefits you need for you and your family

  • 100% coverage for in network preventative care
  • Retirement Plan
  • Vision Plans
  • Dental Plans
  • Exclusive Discounts

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