Software Engineer (Java, Spring & Microservices)

• Design and Develop: Architect, design, and implement high-performance Java-based backend services and applications.
• Code Quality: Write clean, efficient, and well-documented code following industry best practices and coding standards.
• Technical Leadership: Provide technical guidance and mentorship to junior developers, promoting best practices and fostering a collaborative environment.
• Collaboration: Work closely with frontend developers, product managers, and other stakeholders to understand requirements and deliver robust solutions.
• Performance Optimization: Identify and resolve performance bottlenecks and scalability issues.
• Testing: Implement comprehensive testing strategies, including unit tests, integration tests, and end-to-end tests.
• Continuous Improvement: Stay current with the latest industry trends, technologies, and best practices in Java/Golang development, and continuously improve our development processes.

Job Role

Full Stack Developer (SDE-2)

Job Description

We are looking for engineers who are passionate about solving complex problems and building next generation products for a global customer base & scale.

Job Responsibilities

• Design, build, and maintain high performance, clean and reusable code.
• On Calls Monitoring the performance of live applications and work on optimising them at the code level
• Clearly understand the requirements, designs and convert them into high quality code.
• Identifying and resolving the bugs and enhancing application performance. Performing unit testing on code
• Collaborating with cross-functional teams to define and design new features
• Staying up to date with new mobile technology trends, applications, and protocols
• Develop a highly scalable and secure cloud-based system for collecting health data and performing analytics.
• Document software and features for internal and external engineering teams
• Collaborate with other groups (QC/testing, algorithm developers, etc.)

Skills/ Experience

• 3 to 8 years of experience in developing ecommerce B2B/B2C products/platforms.
• Engineering or Equivalent Bachelor’s degree preferable from top engineering colleges.
• Expertise in Data Structure, Algorithms & System Design
• Expertise In Java/JavaEE/Spring/SpringBoot/HTML/CSS/Angular/React/Vue JS
• Expertise In Database RDBMS/NoSQL (Solr/REDIS/MongoDB/RabbitMQ/Kafka etc)
• Good understanding In GCP/AWS/DevOps/SRE/On-Calls.
• Good understanding of AI/ML/Data Science Algorithms.
• Able to work and thrive in a fast-paced, rapidly changing work environment
• Should have excellent communication skills, with an ability to convey ideas clearly & precisely
• Must have leadership skills & a good team player
• Must be pro-active & a self-starter

Essential Duties and Responsibilities

• Contribute in all phases of the development lifecycle
• Write well designed, testable, efficient code
• Ensure designs are in compliance with specifications
• Prepare and produce releases of software components
• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review 

Adhere to Experian policies and procedures

• Work under the Experian behaviors and values
• Facilitate and drive performance management processes
• Champion a culture where the fair treatment of customers is at the heart of the Experian business 
• Ensure that by leading by example, you adhere to all regulatory requirements and apply appropriate controls in the interests of customers
• Through the adoption of a top down approach, demonstrate a culture where all our people understand their regulatory obligations, including what the fair treatment of customer’s means to them and our organization

Qualifications

• Should  have years of experience in developing and supporting Java/J2EE based application
• Should provide consultation on new development, enhancements, bug fixes and deployment and involve in complete product life cycle
• Should undertake any development/coding activities that might require during project life cycle
• Should have good core java concept like Collection, Multi-Threading JDBC File handling etc.
• Should have experience in Spring, Spring Boot, JPA, Hibernate
• Should have experience in Web service testing tool like SOAP UI, PostMan
• Should have working experience with database like Oracle, MSSQL Server, MySQL
• Should have enriched experience in client interfacing
• Should have good communication skills

Technologies

1. Java, Java EE
2. Spring, Spring Boot, JPA, Hibernate
3. Java Multi-Threading
4. Web service using SOAP/REST
5. JIRA, Confluence, Bitbucket
6. Oracle, SQL Server, MySQL
7. WebLogic, Tomcat , JBOSS

Requirements:

Spring Boot + Google Cloud Exp 4+ Years Strong Spring 4+ Years Restful 4+ Years J2EE 4+ Years Core Java 4+ Years

• Must have hands-on experience in Java 8 or higher / J2EE
• Understanding of Agile and Lean software development processes and practices.
• Experience in Spring Boot and other spring frameworks
• Experience in developing web applications using Spring MVC
• Experience in MongoDB/ Kafka / RabbitMQ
• Microservices
• Collaborate with other team members and stakeholders
• Mandatory Skills: Core Java, Spring/Spring Boot, REST, Hibernate

• Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics, or related technical field. Relevant experience of at least 3 years in lieu of above if from a different stream of education.

• Well-versed in and 3+ hands-on demonstrable experience with: ▪ Stream & Batch Big Data Pipeline Processing using Apache Spark and/or Apache Flink.
  ▪ Distributed Cloud Native Computing including Server less Functions
  ▪ Relational, Object Store, Document, Graph, etc. Database Design & Implementation
  ▪ Micro services Architecture, API Modeling, Design, & Programming

• 3+ years of hands-on development experience in Apache Spark using Scala and/or Java.

• Ability to write executable code for Services using Spark RDD, Spark SQL, Structured Streaming, Spark MLLib, etc. with deep technical understanding of Spark Processing Framework.

• In-depth knowledge of standard programming languages such as Scala and/or Java.

• 3+ years of hands-on development experience in one or more libraries & frameworks such as Apache Kafka, Akka, Apache Storm, Apache Nifi, Zookeeper, Hadoop ecosystem (i.e., HDFS, YARN, MapReduce, Oozie & Hive), etc.; extra points if you can demonstrate your knowledge with working examples.

• 3+ years of hands-on development experience in one or more Relational and NoSQL datastores such as PostgreSQL, Cassandra, HBase, MongoDB, DynamoDB, Elastic Search, Neo4J, etc.

• Practical knowledge of distributed systems involving partitioning, bucketing, CAP theorem, replication, horizontal scaling, etc.

• Passion for distilling large volumes of data, analyze performance, scalability, and capacity performance issues in Big Data Platforms.

• Ability to clearly distinguish system and Spark Job performances and perform spark performance tuning and resource optimization.

• Perform benchmarking/stress tests and document the best practices for different applications.

• Proactively work with tenants on improving the overall performance and ensure the system is resilient, and scalable.

• Good understanding of Virtualization & Containerization; must demonstrate experience in technologies such as Kubernetes, Istio, Docker, OpenShift, Anthos, Oracle VirtualBox, Vagrant, etc.

• Well-versed with demonstrable working experience with API Management, API Gateway, Service Mesh, Identity & Access Management, Data Protection & Encryption.

  Hands-on experience with demonstrable working experience with DevOps tools and platforms viz., Jira, GIT, Jenkins, Code Quality & Security Plugins, Maven, Artifactory, Terraform, Ansible/Chef/Puppet, Spinnaker, etc.

• Well-versed in AWS and/or Azure or and/or Google Cloud; must demonstrate experience in at least FIVE (5) services offered under AWS and/or Azure or and/or Google Cloud in any categories: Compute or Storage, Database, Networking & Content Delivery, Management & Governance, Analytics, Security, Identity, & Compliance (or) equivalent demonstrable Cloud Platform experience.

• Good understanding of Storage, Networks and Storage Networking basics which will enable you to work in a Cloud environment.

• Good understanding of Network, Data, and Application Security basics which will enable you to work in a Cloud as well as Business Applications / API services environment.

• 5+ years of software development experience including 4+ years of deep, hands on experience in building highly scalable web-based backend applications using Java and Spring ecosystem
• BE/BTech in Computer Science or a related field or equivalent practical experience
• Great problem-solving skills with solid data structures and algorithms knowledge
• Has extensively used the Spring ecosystem – Spring Boot, REST API Development, ORM tools like Hibernate
• Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate)
• Profound insight of Java and JEE internals (Class loading, Multi-Threading, Memory Management, Transaction management etc)
• Experience of coaching and mentoring junior developers with good delegation and time-management skills
• Implemented CI/CD in any of the projects done
• Strong understanding of Agile and Lean software development processes and practices
• Excellent knowledge and hands-on experience of Elastic Search
• Has designed relational databases; conversant with SQL
• Knowledge of Jenkins/ Docker and Devops
• Knowledge of Redis or similar technology
• Worked with some or all of these AWS services: EC2; lambda; SQS/SNS; Elastic Search, Transcoder
• Understanding and experience of building services and applications using principles of service-oriented architecture, preferable using REST or SOAP
• Contributed in the creation of end-to-end automation tests (functional or non-functional)
• Worked with WebSocket, Push notifications etc

• Experience in ELK stack
• Knowledge of Video tools like FFMPEG, Wowza / Node Media Streaming
• Understanding of different video formats, streaming, CDN etc
• Understanding of Machine Learning Models, Pipelines etc