sumologic
Senior Software Engineer I, MLOPS/LLMOps
At a Glance
- Location
- United States HQ
- Experience
- 4+ years
- Posted
- 2026-02-13T17:08:16-05:00
Key Requirements
Required Skills
Domain Knowledge
- Education
- Engineering
- Regulatory
Requirements
Education: B.S./M.S./Ph.D. in Computer Science, Engineering, or related technical field
Experience: 4+ years of software engineering experience with 2+ years focused on MLOps/LLMOps
MLOps Expertise:
Production experience with ML model serving frameworks (e.g., TensorFlow Serving, TorchServe, Triton)
Hands-on with ML experiment tracking and model registry tools (MLflow, Weights & Biases, Kubeflow)
Proficiency in workflow orchestration (Airflow, Prefect, Kubeflow Pipelines, Metaflow)
Responsibilities
Platform & Infrastructure
Design and implement scalable MLOps/LLMOps platforms supporting the full ML lifecycle: data versioning, model training, evaluation, deployment, and monitoring
Build and maintain CI/CD pipelines for ML models and LLM applications with automated testing, validation, and rollback capabilities
Develop infrastructure-as-code (IaC) for reproducible, version-controlled ML environments
Architect model serving infrastructure with auto-scaling, A/B testing, and canary deployment capabilities
LLM Operations
About the Company
Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. 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.
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.