Senior Software Engineer - AI Platform

1 Month ago • 5 Years + • $136,000 PA - $183,000 PA

Job Summary

Job Description

As a Backend Engineer on the Dynamic Observability Team, you will be crucial 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 customers to quickly generate high-quality signals and insights, enabling them to respond, resolve, and remediate incidents faster in real time. Responsibilities include designing and implementing high-volume, fault-tolerant, scalable backend systems for AI-driven applications, optimizing backend infrastructure for AI model training and deployment, improving system efficiency, and collaborating with cross-functional teams to integrate AI models. This role requires strong coding skills, experience with data structures, and a passion for building robust and scalable systems.

Must have:

Design and implement scalable backend systems for AI applications.
Develop and optimize backend infrastructure for AI model training.
Write robust, maintainable, and high-performance code.
5+ years of industry experience with proven ownership.
Object-oriented experience, such as Java, Scala, Ruby, or C++.

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 working with Unix (Linux, OS X).
Agile software development experience (test-driven development).

11 skills required

11 skills required for this role

Add these skills to join the top 1% applicants for this job

java

ruby

scala

unix

data-structures

linux

data-analytics

agile-development

scalability

cross-functional

saas-business-models

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.

The expected annual base salary range for this position is $136,000 - $183,000. Compensation varies based on a variety of factors which include (but aren’t limited to) role level, skills and competencies, qualifications, knowledge, location, and experience. In addition to base pay, certain roles are eligible to participate in our bonus or commission plans, as well as our benefits offerings, and equity awards.

Must be authorized to work in the United States at time of hire and for duration of employment. At this time, we are not able to offer nonimmigrant visa sponsorship for this position.