Lead Engineer-Java

Staples India; Chennai District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Staples India is seeking a seasoned software engineer to design, develop, and deploy data-driven solutions for order fulfillment and supply chain optimization. You will work across business and technical teams to deliver scalable, reliable cloud-based applications and contribute to the SaaS lifecycle.

The role emphasizes hands-on coding in Java or Python, building microservices with Spring, and implementing large-scale data pipelines using Spark or Kafka in both public cloud and on-prem

Qualifications

• 5+ years of related work experience.
• Strong hands-on programming in Java or Python and experience with Spark or Kafka.
• Strong system design skills and ability to build scalable, fault-tolerant distributed apps in the Cloud.
• Familiarity with 12 factor app, reactive manifesto, and CI/CD practices.

Responsibilities

• Develop, test, and maintain software components per requirements.
• Collaborate with teams to analyze user needs and propose technical solutions.
• Participate in code reviews to ensure quality and share knowledge.
• Troubleshoot and resolve software defects and write technical docs.
• Design and implement data pipelines for scalable data processing.

Skills

Java

Python

Spark

Kafka

Spring Boot

Cloud

Azure

Distributed Databases

Distributed Messaging

Tools

Azure CosmosDB

MongoDB

MySQL

PostgreSQL

Redis

Memcached

Job description

Staples India Business Innovation Hub Private Limited | Permanent

You will be part of Order Fulfillment team and partner with both business and technical teams to design and develop in-house data driven solutions for complex decision-making problems through systematic application of computer science, analytics, mathematical optimization, and machine learning as well as applying cutting edge technologies in the areas of Order Fulfillment, Supply Chain, and Robotics. Develop algorithms and applications from inception to implementation and collaborate across departments to productionize solutions. Hands-on ownership architecting and leading the development of highly scalable & highly available implementations in public Cloud and on-prem. Participate in the entire SaaS lifecycle driving adoption and scale applying best practices that drive agility and quality. Work closely with product management and program management to derive application requirements, set expectations, and communicate progress.

Duties & Responsibilities

• Develop, test, and maintain software components and applications as per the requirements.
• Collaborate with team members to analyze user needs and determine technical solutions.
• Participate in code reviews to ensure code quality and share knowledge among peers.
• Assist in troubleshooting and resolving software defects.
• Write and maintain technical documentation related to software functionality.
• Continuously learn and apply best practices in software development, quality, and security.
• Contribute to the design of new features and improvements to existing applications.
• Work on short-term assignments and follow defined processes and procedures to deliver assigned tasks.
• Assist in process improvement efforts by recommending simple changes that optimize efficiency.

Requirements

Basic Qualifications

• 5+ years of related work experience.
  
• Strong hands-on programming experience in at least one modern language (Java, Python) and Big Data frameworks (Spark or Kafka)
  
• Strong hold on system design and ability to develop highly reliable, fault-tolerant distributed applications with a heavy emphasis on performance and scale in the Cloud. Demonstrated understanding of fast-paced Agile principles with technical designs, iterative development, and code reviews.
  
• Well-versed with building high quality software using the industry proven practices – 12 factor app, reactive manifesto, and CI/CD.
  
• Building microservices using Spring/Spring-boot framework including Spring JPA, Spring Batch, Spring Security, Spring Cloud, Spring Data Stream etc.
  
• Experience working with Distributed Databases such as Azure CosmosDB, Couchbase, and MongoDB. Experience working with Relational Databases such as MySQL or PostgreSQL. Experience working with Distributed Caching solutions such as Memcached, Redis, and Hazelcast.
  
• Experience working with Distributed Messaging solutions such Azure EventHub, Apache Kafka, and Solace.
  
• Experience building and optimizing production grade data pipelines (stream processing and batch) to prepare datasets at scale for data analysis, modeling, and optimization.
  

Preferred Qualifications

• Proven experience taking an idea from inception to life with an ability to explore a variety of open-source technologies.
  
• Experience with developing, deploying, and launching software products on public cloud preferably Microsoft Azure.