Senior Software Engineer, Big Data

Conviva

Education
Benefits
Qualifications
Skills

If you've used Disney+, Peacock, or other top streaming platforms, you've already benefited from Conviva's technology. We empower the world’s leading B2C companies, including the biggest names in streaming media, to deliver exceptional digital experiences and optimize the “moments that matter” to their customers and their business. As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. Our platform does what legacy observability and monitoring tools can’t: we eliminate the gaps between system performance, user experience, and engagement, enabling issue identification, impact assessment, and root cause resolution in seconds. This isn’t just important, its game-changing! Our platform processes over 5 trillion daily events, providing real-time, cost-effective, stateful computation across diverse data sets. This empowers operations teams for the first time to precisely and directly impact real-world business outcomes, including customer satisfaction and revenue.

As Conviva is expanding, we are building a new product that gets us into a new marketing segment. We are seeking a highly skilled and motivated senior software engineer to join our dynamic team to lead this new innovation. As a Senior Software Engineer, you will play a critical role in designing and implementing cutting-edge orchestration systems to manage Conviva Platforms. 

What Success Will Look Like: 

  • Design and implement robust and scalable orchestration systems using industry-leading frameworks like Kubernetes, Airflow, Docker and more. 
  • Design and implement ETL pipelines using a variety of open source frameworks. 
  • Lead critical technical decision-making processes through collaboration with cross-functional teams. 
  • Take on a mentorship role by training and guiding team members 
  • Tackle engineering challenges related to cost reduction, reliability, scalability and flexibility. 
  • Champion a positive culture within the team, encouraging code quality, driving initiatives, and ensuring flawless execution. 

Who You Are & What You've Done: 

  • Bachelor's degree or or higher in Computer Science or related field. 
  • Strong knowledge of Computer Science fundamentals, data structures and algorithms. 
  • 3+ years of experience in Java, Scala, and/or Python 
  • 3+ years of experience of technical expertise in Spark and other big data technologies such as Kubernetes, Spark, Hadoop, Hive, BigQuery, etc. 
  • Strong desire to work in a rapidly growing company and make is a success. 
  • Experience in performance tuning, analysis over distributed systems. 
  • Experience building massively scalable data infrastructure using commercial and open-source tools. 
  • Experience in building CI/CD pipelines. 
  • Passion and enthusiasm for big data technologies as well as building cutting edge solutions 
  • Good communication skills in English 

Preferred: 

  • Experience working with remote teams. 
  • Experience with SaaS. 
  • Open source contributor. 
  • Spark on Kubernetes, Airflow or other workflow management tools 

Underpinning the Conviva platform is a rich history of innovation. More than 60 patents represent award-winning technologies and standards, including first-of-its kind-innovations like time-state analytics and AI-automated data modeling, that surfaces actionable insights. By understanding real-world human experiences and having the ability to act within seconds of observation, our customers can solve business-critical issues and focus on growing their business ahead of the competition. Examples of the brands Conviva has helped fuel streaming growth for include: DAZN, Disney+, HBO, Hulu, NBCUniversal, Paramount+, Peacock, Sky, Sling TV, Univision and Warner Bros Discovery.

Privately held, Conviva is headquartered in Silicon Valley, California with offices and people around the globe. For more information, visit us at www.conviva.com. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets.

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Confirmed 8 minutes ago. Posted 30+ days ago.

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