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As a Site Reliability Engineer I, you will optimize the lifecycle of microservices, enhance cloud resource efficiency, write automation scripts, manage SLOs, and improve security posture in a collaborative environment.

The Senior Site Reliability Engineer will improve operational excellence of observability and security products, optimize cloud resource use, and enhance developer efficiency.

Lead a global team focusing on site reliability and application security, ensuring product uptime, security compliance, and operational excellence while mentoring engineers and collaborating with stakeholders.

Drive the vision and execution of Sumo Logic's Security Operations platform, focusing on Threat Detection and Response while collaborating with various teams to ensure product success in the market.

The HR Operations Analyst manages HR programs and analytics, leveraging technology and data for strategic workforce decisions and employee experience enhancements.

The role involves enhancing operational excellence in cloud product reliability, optimizing microservice operations, and collaborating on reliability roadmaps and automation.

Own partner development and revenue growth across assigned territory by recruiting, enabling, and managing partners. Build partner business plans, enable sales/technical training, drive GTM initiatives, manage forecasts in SFDC, and collaborate with Sales, Marketing, and Product to achieve partner-sourced revenue goals.

The Sales Engineer will partner with Account Executives to address customer challenges, articulate technical solutions, and facilitate the sales cycle through demonstrations and technical validations, while working cross-functionally to enhance products.

The Senior Accountant will oversee the monthly close process, maintain financial records, ensure compliance with U.S. GAAP, and support audits.

As a Staff Machine Learning Engineer - AI Tech Lead, you will lead the design of AI systems for security operations, focusing on scalable architectures, AI safety, and mentoring. Responsibilities include overseeing technical evaluations, production workflows, LLM fine-tuning, and collaboration with teams to enhance AI capabilities.