C# Developer

• Degree in Computer Science (BS/MS), related technical field or equivalent practical experience
• 8+ years of industry experience in product development
• Experience in coaching and mentoring team members
• Must own a specific component of the product. Gathering requirements by working with product management. Working closely with development managers in defining external product interfaces
• Must have excellent written and verbal communication skills. Must articulate various design approaches and design decisions clearly - within the team and across the teams.
• Must work with QA engineers to devise proper test constructs - unit testing and integration tests.

• JAVA Microservices with AWS needed
• Provide solution architecture & design involving Cloud and DevOps
• Develop new microservices in a cloud-native way.
• Ensure the unit testing and code coverage are achieved as per the agreed percentage.
• Build reusable code and libraries for future use.
• Optimize application for maximum performance and scalability.
• Collaborate, and coordinate with team members and key stakeholders.
• Communicate effectively with different stakeholders.
• Ensure best practices & standards are followed during SDLC.
• Takes ownership of the whole solution from a technical perspective and ensures adherence to defined Architecture & Design.
• Ensures the latest technology standards, and guidelines are utilized for development.
• Performs consistent & adequate code reviews & feedback to the team.
• Training and induction of new resources on the projects.

Skills and Qualifications

• Deep understanding of OOPs and OOAD.
• Expert and hands-on in Java JEE and Spring framework, Spring Boot.
• Should have experience with RESTful web services and API standards.
• Should know various integration patterns in distributed environments.
• Working knowledge of microservice architecture and different design patterns.
• Hands-on in writing unit tests with Mockito and code coverage tools.
• Hands-on data modeling (Logical physical).
• Knowledge of RDBMS, SQL and any ORM framework (JPA, Hibernate etc.)
• Should know Event-driven and asynchronous programming using message broker.
• Should know about cloud IaaS, PaaS, SaaS and Serverless models of any cloud provider (AWS, Azure, GCP), preferably AWS.
• Knowledge of JavaScript frameworks like NodeJS (For the Backend) and Angular React (For Frontend) will be added advantage.
• Good to have DevOps related technologies like Container (Docker), Container Orchestrator (Kubernetes EKS)
• Excellent in communication

• 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.