What you'll do :

• Design, build and maintain the stream processing, time-series analysis system which is at the heart of Conviva’s products
• Responsible for architecture of Conviva platform
• Build features, enhancements, new services and bug fixing in Scala and Rust on a Jenkins based pipeline to be deployed as Docker containers on Kubernetes
• Own the entire lifecycle of your microservice including early specs, design, technology choice, development, unit-testing, integration-testing, documentation, deployment, troubleshooting, enhancements etc.
• Lead a team to develop a feature or parts of a the product
• Adhere to the Agile model of software development to plan, estimate and ship per business priority

What makes you a great fit :

• 14+ years of work experience in software development of data processing products.
• Engineering degree in software or equivalent from a premier institute.
• Excellent knowledge of fundamentals of Computer Science like algorithms and data structures. Hands-on with functional programming and know-how of its concepts
• Excellent programming and debugging skills. Proficient in writing code in Rust/Scala /Haskell/Erlang that is reliable, maintainable, secure, and performant
• Experience/knowledge of actor model of concurrency (Akka in Scala or Actix in Rust) is a big plus. Knowledge of design patterns like event-streaming, CQRS and DDD to build large microservice architectures will be a big plus
• Experience with big data technologies like Spark, Flink, Kafka, Druid, HDFS etc.
• Deep understanding of distributed systems concepts and scalability challenges including multi-threading, concurrency, sharding, partitioning etc.
• Experience/knowledge of Akka/Lagom framework and/or stream processing technologies like RxJava or Project Reactor will be a big plus. Knowledge of design patterns like event-streaming, CQRS and DDD to build large microservice architectures will be a big plus
• Excellent communication skills. Willingness to work under pressure. Hunger to learn and succeed. Comfortable with ambiguity. Comfortable with complexity