Software Engineer, Query Engine & Distributed Systems

Reposted 19 Days Ago
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Foster City, CA
In-Office
180K-220K Annually
Mid level
Software
The Role
Develop and optimize data processing solutions, pipelines, algorithms, and team collaboration, focusing on distributed systems and databases.
Summary Generated by Built In

Conviva is the intelligence layer for digital businesses, turning every consumer interaction into outcome-based intelligence—linking engagement patterns across AI agents, apps, websites, and streaming video to real results such as purchases, bookings, and resolved support requests. Powered by its patented Time-State Technology®, the Conviva® Operational Data Platform delivers real-time insights and automation that help leading enterprises grow, improve satisfaction, and build lasting trust. 


Conviva engineers build and operate distributed systems that handle five trillion events every day, achieving performance at a scale comparable to the world's largest analytics platforms. 

We are looking for a highly motivated and self-driven backend engineer who is passionate about distributed systems, large-scale data infrastructure, and performance optimization. In this role, you will design and build core components of Conviva's real-time analytics platform, collaborating with a small, world-class team where every technical decision matters. Our engineers combine academic depth with practical innovation, contributing to research publications and advancing the state of large-scale distributed data systems. 


What Success Will Look Like: 

  • Design and develop our specialized, high-performance query engine layer, to handle complex stateful patterns and real-time analytics. 
  • Develop advanced query optimization strategies and performance modeling tools to ensure low-latency responses across trillion-event datasets.
  • Architect and evolve distributed system components that prioritize scalability and fault tolerance for next-generation OLAP workloads.
  • Partner with cross-functional teams to identify and unlock latent capabilities within our storage and query infrastructure. 
  • Refine the core data processing layer to maximize efficiency and reliability across massive, high-cardinality datasets. 
  • Facilitate seamless data flow by integrating high-performance analytical solutions into the broader distributed ecosystem. 
  • Stay up to date with advancements in distributed databases, stream processing frameworks, and cloud infrastructure, evaluating new technologies for their impact and scalability. 

Who You Are & What You've Done: 

  • BS, MS, or PhD in Computer Science or a related field. 
  • Strong foundation in computer science fundamentals, including algorithms, data structures, and networking.  
  • Proficiency in C++, Rust, Scala, Java, or similar systems programming language. 
  • Proven experience designing or building large-scale distributed systems, ideally in production environments. 
  • Hands-on experience with big data platforms and query engines (e.g., ClickHouse, Apache Druid, Presto, BigQuery, and others).
  • Familiarity with distributed stream processing frameworks such as Akka Streams, Apache Spark, or Apache Flink. 
  • Demonstrated expertise in performance analysis and tuning for distributed systems.
  • Strong collaborator with experience mentoring others, driving initiatives, and contributing to a positive engineering culture. 
  • Adaptable and comfortable working in a fast-paced, evolving environment. 

    

Preferred Qualifications:

  • Experience building and scaling systems in SaaS or data infrastructure environments. 
  • Contributions to open-source projects in distributed systems, databases, or analytics. 
  • Knowledge of OLAP architecture, columnar storage, and high-performance query execution. 

The expected salary range for this full-time position is $170,000 - $230,000 + equity + benefits. Compensation and actual level will be determined by numerous factors such as your qualifications, experience, and relevant education or training.


To learn more about how Conviva can help improve the performance and outcomes of your digital services, visit www.conviva.com

Top Skills

Akka Streams
Apache Druid
Apache Flink
Spark
BigQuery
C++
Clickhouse
Java
Presto
Rust
Scala
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The Company
HQ: Foster City, CA
525 Employees
Year Founded: 2006

What We Do

The Conviva Operational Data Platform is the first and only real-time stateful monitoring and analytics platform on the market empowering companies to perform real-time optimization of anything that impacts user experience across applications, networks, platforms, devices, access points, and more – connecting backend infrastructure performance to front-end revenue generation and everything in between.

Unlike current observability solutions that limit their focus primarily to infrastructure performance metrics, user-centric operational analytics gives you the capability to get a true real-time lens into everything impacting your users’ experience, enabling you to monitor, manage, and optimize their interactions like never before.

More than 250 industry leaders – including CBS, CNN, DAZN, HBO Max, Hulu, Red Bull, RTL, Sky, Sling TV, TED, Turner, and Univision – rely on Conviva to drive time-critical decisions at every level of their organization, reducing customer churn, increasing viewer engagement, driving new monetization models, and growing ROI.

In 2006, Conviva’s founders sparked a revolution that defined measurement, analytics, and user experience in streaming entertainment. Today, the company continues to push the industry forward and provide the insights and context companies need to thrive in the digital world.

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