Senior Software Engineer - AI Platform

1 Day ago • 5 Years +

Job Summary

Job Description

As a Backend Engineer on the Dynamic Observability Team, you will be responsible for developing a scalable, reliable, and high-performance platform for observability and security products. This platform will serve multiple teams across the company and empower our customers to quickly generate high-quality signals and insights, enabling them to respond, resolve, and remediate incidents faster in real time. You will design and implement high-volume, fault-tolerant, scalable backend systems that process and manage petabytes of customer data, specifically for AI-driven applications and platforms. The role involves writing robust, maintainable, and high-performance code, collaborating with cross-functional teams to integrate AI models, and improving system efficiency and reliability.
Must have:
  • 5+ years of industry experience
  • Object-oriented experience (Java, Scala, Ruby, or C++)
  • Understanding of data structure performance
Good to have:
  • Experience in multi-threaded programming and distributed systems
  • Experience in big data and/or 24x7 commercial service
  • Experience working on AI solutions, partnering with AI teams
  • Experience with Unix (Linux, OS X)
  • Agile software development experience (TDD, iterative development)

Job Details

Senior Software Engineer - AI Platform

As a Backend Engineer on the Dynamic Observability Team, you will play a key role in developing a scalable, reliable, and high-performance platform for observability and security products. This platform will serve multiple teams across the company and empower our customers to quickly generate high-quality signals and insights, enabling them to respond, resolve, and remediate incidents faster in real time.

Responsibilities

  • Design and implement extremely high-volume, fault-tolerant, scalable backend systems that process and manage petabytes of customer data, specifically for AI-driven applications and platforms..
  • Develop and optimize backend infrastructure to support AI model training, deployment, and real-time inference at scale.
  • Analyze and improve the efficiency, scalability, and reliability of our backend systems, with a focus on ensuring optimal performance for AI oriented workloads..
  • Write robust, maintainable, and high-performance code; demonstrate its robustness through automated tests and performance benchmarks.  
  • Collaborate with data scientists, machine learning engineers, and other cross-functional teams to integrate AI models seamlessly into the platform

Required Qualifications and Skills

  • B.Tech, M.Tech, or Ph.D. in Computer Science or related discipline
  • 5+ years of industry experience with a proven track record of ownership 
  • Object-oriented experience, for example in Java, Scala, Ruby, or C++.
  • Understand the performance characteristics of commonly used data structures (maps, lists, trees, etc).

Desired Qualifications and Skills

  • Experience in multi-threaded programming and distributed systems is highly desirable.
  • Experience in big data and/or 24x7 commercial service is highly desirable.
  • Experience working on AI solutions, partnering with AI teams.
  • You should be happy working with Unix (Linux, OS X).
  • Agile software development experience (test-driven development, iterative and incremental development) is a plus.
  • Enjoy working in an environment where stuffed squirrels and rubber bands are occasionally hurled at you.

About Us

Sumo Logic, Inc. empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Analytics Log Platform, which helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.

Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.

 

 

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Sumo Logic turns insights into action by enabling customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Log Analytics Platform.

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