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.

What can you expect to do?

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.

Responsibilities

• 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.

Required Qualifications

• 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.

Desired Qualifications

• Experience building agent UI systems, chat-based workflows, or AI-assisted product experiences.