Staff Software Engineer, Distributed Systems

Key Skills

Apache Flink, Big Data Technology, C++, Data Analytics, Design, ETL frameworks, Google BigQuery, Infrastructure as code, Presto, Rust

Job Description

As Conviva continues to grow, we are actively looking for highly motivated and talented distributed systems engineers at all levels to join our dynamic backend development teams. You will work with some of the best engineers in building our distributed real-time streaming platform for processing, indexing and querying internet scale data. At more senior levels, you will lead technology innovations, collaborating across teams to set technical standards and steer the overall architectural framework.

What Success Will Look Like:

• Design the next generation real-time big data processing, storage and analytics engine for stateful metrics, emphasizing scalable, reliable and cost-effective solutions for low latency queries across diverse domains.
• Design, build, maintain and improve a range of algorithms and their underlying systems.
• Lead critical technical decisions collaboratively, guiding and training team members to tackle engineering challenges.
• Design and deploy ETL pipelines using various open-source frameworks, ensuring robustness and scalability.
• Foster a positive team culture, promoting code quality, driving initiatives, and ensuring impeccable execution.
• Stay current with industry trends and emerging technologies in distributed database systems and stream processing frameworks.

Who You Are & What You've Done:

• Solid foundation in computer science, computer engineering or related fields.
• Strong programming skills in C++, Rust, Scala, Java or similar language.
• 8+ years of industry experience in software development using modern software development processes, tool chains and infrastructure.
• Proficiency in major distributed stream processing frameworks, such as Akka Streams, Apache Spark, Apache Flink and others.
• Hands-on development experience with query engines or distributed database systems, such as ClickHouse, Apache Druid, Presto, BigQuery and others.
• Experience in performance tuning, analysis over distributed systems.
• Experience building massively scalable data infrastructure using commercial and open-source tools.
• Highly motivated, passionate about technology, eager to learn, and proving ability to learn and master fast pacing innovative technologies.
• Demonstrate effective collaboration within teams while being open to receiving feedback, embracing a learning mindset, and actively supporting others.
• Adaptable to ambiguity and comfortable in a fast-paced work environment

Preferred:

• Track record of contributing to open-source projects

The expected salary range for this full-time position is $220,000 - $270,000 + equity + benefits. Compensation is determined by numerous factors such as your qualifications, experience, relevant education or training, and work location.