Staff Engineer - Distributed Systems (8-12 yrs)

Responsibilities :

- Engineer the next-generation operational data platform that turns event streams into actionable insights with high efficiency, in real-time and at internet scale.

- Build a horizontally and vertically scalable system that ingests trillions of events per day within sub-second latencies and enables experience-centric observability that connects user experience with system performance.

- Utilize the latest and greatest big data technologies to build solutions for use cases across multiple verticals.

- Lead technology innovation and advancement that will have a big business impact for years.

- Be part of a worldwide team building software using the latest technologies and the best software development tools and processes.

- Build features, enhancements, and bug fixing in Rust.

- Design, build and maintain the stream processing, and time-series analytics platform at the heart of Conviva's products.

- Design, build, and maintain TQL (Time Series Query language), the DSL powering Conviva's metric development capability.

- Contribute to enhancing the CI/CD capabilities/practices for deploying to Kubernetes-based large backend clusters for testing and releases.

- Own the entire software lifecycle including early specs, design, technology choice, development, unit-testing, integration-testing, documentation, deployment, troubleshooting, enhancements, etc.

- Lead engineers to develop a feature or parts of the product.

- Adhere to the Agile model of software development to plan, estimate, and ship per business priority.

Requirements :

- 8+ years of work experience in software development of data processing and distribution systems.

- Excellent programming and debugging skills. Proficient in writing code in Rust/C that is reliable, maintainable, secure, and performant.

- Hands-on with functional programming, event-sourced architectures, CQRS, and DDD (domain-driven design).

- Excellent knowledge of basic computer science fundamentals like data structures, compilers, databases, and operating system principles.

- Knowledge of advanced data structures and distributed databases will be a plus.

- Knowledge of streaming/big data technologies like Spark, Flink, Kafka, Druid, HDFS, etc. will be a plus.

- Deep understanding of distributed systems concepts and scalability challenges including multi-threading,

concurrency, sharding, partitioning, etc.

- Experience/knowledge of actor models of concurrency (Akka in Scala or Actix in Rust) is a big plus.

- Knowledge of formal methods is a big plus.

- Excellent communication skills. Willingness to work under pressure.

- Hunger to learn and succeed. Comfortable with ambiguity. Comfortable with complexity.