Why This Job is Featured on The SaaS Jobs
This Senior Software Engineer II role sits in the infrastructure layer that many SaaS products depend on but few roles expose directly: multi-tenant ingest at very high throughput. Work centered on storage, messaging, search, and analytics points to a mature cloud service where reliability and predictable performance are product features, not internal conveniences. Within the SaaS ecosystem, that combination of distributed systems and customer-facing guarantees is a strong signal of real operational complexity.
From a SaaS career perspective, the long-term value is in learning how large-scale platforms evolve without breaking downstream teams or customer workloads. Experience improving scheduling algorithms, reworking message processing, and operating Kubernetes-based services translates across observability, security, data platforms, and any SaaS business with high-volume telemetry. The role also builds fluency in the tradeoffs of shared infrastructure, including cost, latency, and isolation.
This position best suits engineers who prefer deep systems work over application feature delivery, and who are comfortable collaborating across multiple internal product areas. It fits someone ready to take ownership of critical services, communicate clearly about risk and performance, and participate in on-call rhythms typical of always-on SaaS platforms.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Senior Software Engineer - Core Ingest
As a Senior Software Engineer - Core Ingest, you will actively contribute to the design and development of new distributed data processing capabilities. You will be instrumental in helping us solve complex low-latency, distributed systems challenges to handle our ever-increasing scale. Our system is a highly distributed, fault tolerant, multi-tenant platform that includes bleeding edge components related to storage, messaging, search, and analytics. This system ingests and analyzes petabytes of data a day, while making exabytes of data available for search and forensic analysis.
Responsibilities
- Designing and implementing extremely high-volume, fault-tolerant, scalable backend systems that process and manage petabytes of customer data.
- Work to improve algorithms built to schedule load on clusters of thousands of machines elastically at runtime.
- Improve systems to provide performance guarantees to customers in a shared-everything multi-tenant architecture.
- Lead and contribute to the re-architecting of our internal message processing technology to petabyte per day scale.
- Help manage exabytes of data using the latest and greatest technologies such as Kafka, Kubernetes and Docker.
- Work across Sumo interfacing with multiple teams including Search, Security and Metrics & Tracing to identify requirements and architect solutions to meet their data core ingest needs.
Required Qualifications and Skills
- B.S. or higher in Computer Sciences or related discipline (M.S. a plus)
- 5+ years of industry experience with a proven track record of ownership and delivery
- Experience developing scalable distributed data processing solutions
- Experience in multi-threaded programming
- Experience in running large scalable distributed services following a microservice architecture
- Hands-on object-oriented programming experience (e.g., Java, Scala)
- Excellent verbal and written communication skills
- Willingness and experience with occasional on-call availability. Rotations scheduled approximately every 6-8 weeks for a 12 hour timeline, duration 1 week primary, 1 week to assist primary only if needed, starting 9-11am PDT/MDT/CDT and ending 12 hours later.
Desired Qualifications and Skills
- Experience in big data and/or 24x7 commercial service is highly desirable.
- You should be happy working with Unix (Linux, OS X).
- Agile software development experience (test-driven development, iterative and incremental development) is a plus.
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 $165,000 - $193,000. 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.
