Full Stack - Senior Software Engineer II - Agent UI

Sumo Logic is a cloud-native SaaS data analytics platform that solves complex observability and security problems. Customers choose our product because it allows them to easily monitor, optimize, and secure their applications, systems, and infrastructures.

Our microservices architecture, hosted on AWS, ingests petabytes of data daily across multiple geographic regions. Millions of queries a day analyze hundreds of petabytes of data.

As a Senior Full Stack Software Engineer II, you will design and build rich, interactive agent-driven user experiences and the backend systems that power them. You will work on Model Context Protocol (MCP) integrations, structured tool definitions, agent orchestration services, and scalable APIs that enable AI agents to reason over complex observability and security datasets.

This role spans modern web application architecture, distributed backend systems, and cloud-native service design. You will own features end-to-end — from interaction design and API contracts to deployment, monitoring, and long-term maintainability.

• →Design and build agent-driven UI experiences that enable users to interact with AI agents, tools, and workflows in intuitive and transparent ways.
• →Develop backend services for MCP and tool orchestration, including tool registries, structured tool descriptions, context injection, and agent execution pipelines.
• →Implement and maintain APIs and microservices that support agent communication, session management, memory handling, and observability integrations.
• →Define and standardize tool schemas and metadata contracts to ensure consistent, secure, and scalable tool invocation across heterogeneous systems.
• →Collaborate cross-functionally with ML engineers, product managers, UX designers, and platform teams to deliver end-to-end AI-powered capabilities.
• →Ensure system reliability and scalability through automated testing, monitoring, performance optimization, and production readiness best practices.
• →Design cloud-native architectures on AWS, leveraging containerization, CI/CD pipelines, and distributed systems patterns.
• →Own features end-to-end, from technical design and implementation to deployment, monitoring, and iterative improvement.
• →Continuously improve usability and developer experience, making agent capabilities explainable, observable, and controllable for end users.

• B.Tech, M.Tech, or equivalent experience in Computer Science or a related field.
• 4–6+ years of industry experience building production-grade software systems with end-to-end ownership.
• Strong proficiency in:
• Frontend technologies (React, TypeScript, modern UI frameworks)
• Backend development (Python, Java, or similar)
• RESTful APIs and microservices architecture
• Experience designing and building scalable backend systems in cloud environments (AWS preferred).
• Working knowledge of LLM applications, agent systems, or MCP-like architectures.
• Experience designing well-defined APIs and service contracts, including schema validation and versioning.
• Familiarity with distributed systems concepts, observability, logging, and monitoring.
• Strong understanding of software engineering best practices: testing, CI/CD, code reviews, performance tuning.
• Excellent communication skills and ability to collaborate across disciplines.

• Experience building agent UI systems, chat-based workflows, or AI-assisted product experiences.
• Familiarity with Model Context Protocol (MCP) or similar agent communication standards.
• Experience designing tool registries, plugin systems, or extensible integration frameworks.
• Exposure to LLM Ops, agent orchestration frameworks, or prompt/tool evaluation systems.
• Experience working in high-scale SaaS environments with large data volumes.
• Mentorship experience guiding junior engineers and influencing engineering best practices.
• Contributions to open-source projects or technical publications in AI systems, developer platforms, or distributed architectures.

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 may vary 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 the time of hire and for the duration of employment. At this time, we are not able to offer new non-immigrant visa sponsorship for this position.