Technical Architect/CTO

• Backend development along with team management
• Hands on experience in product development 
• Preferred candidates from Fintech and Banking sectors
• Exp in Python / Java slong with databases like MySQL, NoSQL, etc
• Knowledge of Agile methodology

Job Description:

Good knowledge of python & Java. The order of need should be

1. Builds (TeamCity/Jenkins, Urban Code Deploy, ANT/Maven)
2. Python scripting
3. JAVA
4. Linux/Unix

And candidate should possess knowledge on the below :

• JIRA or other
• Agile (Scrum/Kanban, etc.)
• Bit bucket/GIT/SVN/Artifactory
• Linux/Unix
• Jenkins/Team City – ANT/Maven
• Usage & setup of IDE’s

Technical specifications/Skill Set:

• Minimum of 5+ years of significant experience in application development.
• Proficient with software development lifecycle (SDLC) methodologies like Agile, Test- driven development
• Knowledge of system architecture, object-oriented design, and design patterns.
• Required technical skills: Strong Core Java, J2EE, Spring boot, Akka, API development & distributed application development experience.
• Desirable technical skills: Micro-services pattern, Kafka, Knative Eventing, Camel-K, Container Technologies like Docker, Kubernetes, NoSql preferably Cassandra.
• Experience working with high volume data and computationally intensive system.
• Domain knowledge in Financial Industry and Capital Markets is a plus.
• Excellent communication skills are essential, with strong verbal and writing proficiencies.

• 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.