Observability Engineer

At Sylogic, we're on a mission to revolutionize observability through artificial intelligence. We are a stealth startup headquartered in Silicon Valley and are funded by Tier 1 VCs. We are a passionate team solving complex AI challenges from the ground up. We seek founding peers with high intelligence, intellectual honesty, and personal agency. Responsibilities Participate in customer meetings to understand goals, pain points, and constraints Recommend observability migration and instrumentation strategies Execute customer projects using our tools and bring back learnings to the development team Evangelize best practices for observability that are rooted in experience Help our product team infuse best practices into the product — including code contributions You may be a good fit if you are: An SRE or DevOps engineer with 5–10 years of experience using observability to manage incidents and optimize real-world, large-scale applications Experienced in configuring and managing observability tools in production (OpenTelemetry and DataDog experience is required) An expert in observability best practices with a track record of setting and spreading policies across orgs A hands-on coder to help develop the product and execute pilots A strong advocate with great communication skills to work directly with customers Strong candidates may also have: A working knowledge of AI/ML tools and experience using LLMs for coding or IT admin A desire to push the field forward with novel ideas and products Experience working with customers (internal or external) A team-oriented, collaborative mindset Bachelor’s, Master’s, or Ph.D. in Computer Science, Mathematics, or a related field Lives in or willing to relocate to the Bay Area Comfortable working in-office 3+ days per week Organized and detail-oriented, with the mindset to learn by doing Adaptable and eager to learn new technologies and tools #J-18808-Ljbffr