Job Details

Work closely with Architects, Product Managers / Product Leads and Developers.
Should own product component end-to-end until productions.
Product configuration in productions for HA and Scale.
Work with onsite to understand product needs and articulate that through requirement and functional specifications, and through design playback sessions.
Detailed design, Coding, Unit Testing, Performance testing / Analysis, Troubleshooting & Bug fixing, as and when required.
Document use cases, flow chart, sequence diagrams, class diagrams Individual contributor or lead teams of size 3 - 8 members to complete small application development or a module in big projects or a Proof of Concept.
Hands on coding skills Client interfacing for technical explanations and discussions
Troubleshooting and resolution of product issues from production environment.

Interacting with the Engineering for supporting/maintaining/designing backend infrastructure for product support.
Automation of deployment, customization, upgrades and monitoring through DevOps tools meant for Cloud management.
Performance tuning, monitoring, maintaining fault tolerant/HA infrastructure.
Disaster recovery design, implementation, and maintenance.
Participate in long-term strategies and scalability efforts.
Build documentation of operating procedures and provide knowledge transfer.
Lead/Manage a team and provide timely updates and reports to senior management

Total engineering experience: 14 - 19 years
Should be through and through hands on with Java 8 and above, Micro services Architecture, Spring boot, Oracle, MQ, Restful WS/SOAP WS, JMS, Spring, Hibernate, Eclipse, Tomcat, Hadoop, Kafka, Spark, Cassandra, ELK, AWS
Should have worked as product/component or enterprise architect
Should have extensive experience on big data domain using above mentioned technologies.
Should coach / groom/ upskills technical teams
Coming with solid experience on Big Data Apache software – Kafka, NiFi, HBase.

Technical Skills –
Excellent hands-on coding skills in Java
Good understand of multithreading patterns, JVM configurations
Data Structures and Algorithms
Ability to suggest usage design patterns and algorithms while following the best practices of software development.
Solid understanding of JEE web and app containers
Connection and Thread pools, memory management and configuration, balancing and scaling systems, tuning for scale and performance, security
Specific knowledge of Spring, Hibernate is a must.
Good knowledge on Big Data Technologies like Cassandra and Hadoop
Build and deploy processes, CICD, automation
Knowledge of JavaScript UI frameworks is desirable (Angular, React, etc.)
Working experience on any SQL/No-SQL database preferably MongoDB
Prior experience of TDD and strong adherence of Unit Tests
Proficient with working experience on Kafka and HBase is highly preferred.
Other Skills:
Good interpersonal skills, some experience in stakeholder management (PM’s, etc)
E2e Product Lifecycle Management experience
Understanding of Agile/Scrum practices and the Technology landscape
Good understanding of dev processes (quality, build, deploy strategies, etc)
Experience working in an Agile environment
Experience of building products.

Reference ID - GH/Technology/JC//18062020//91286/Engineering Manager