Senior Technical Support Engineer (Observe by Snowflake)

• As a Senior Technical Support Engineer, you will be a trusted advisor and technical resource for our customers. This is a hands-on role for someone who thrives in dynamic environments, loves troubleshooting complex technical issues, and is passionate about delivering exceptional support experiences
• You’ll be responsible for resolving high-impact technical issues, driving customer success, and collaborating closely with product, engineering, and customer success teams. This is an opportunity to shape how support is delivered and to contribute to the evolution of our platform and processes
• Deliver expert-level technical support to customers through phone, email, and chat
• Troubleshoot and resolve complex technical issues involving our observability platform, integrations, and customer environments
• Partner with engineering teams responsible for performance to become the subject matter expert on performance issues related to components like dashboards, monitors, and datasets. Lead initiatives to improve performance and educate engineering, technical support, and sales engineering teams on best practices
• Help to design and build AI skills that increase technical support engineering productivity, quality and speed
• Own and manage high-priority escalations, coordinating with engineering and product teams to drive resolution
• Create and maintain high-quality technical documentation, including knowledge base articles and runbooks
• Act as a technical liaison between customers and internal teams, translating customer feedback into actionable product insights
• Participate in the on-call rotation to support urgent customer issues outside normal hours
• Proactively contribute to process improvement, tooling, and support automation initiatives
• Mentor junior support engineers and help level up the broader team through knowledge sharing

Benefits

• Comprehensive health insurance plans
• Health savings accounts
• Robust retirement plans
• Life and disability insurance
• Weekly online lunch and learns
• Virtual workout classes
• Ergonomic work-from-home equipment
• On-demand mental health and wellness programs
• Fertility benefits and family planning resources
• Generous time-off and various leave plans
• Onsite and Remote Work
• Employee discounts and pre-tax selections
• New hire equity + Employee Stock Purchase Plan (ESPP)
• Quarterly bonus or commission program- Proficient in scripting languages such as Python or Bash
• Clear, concise communicator able to translate complex technical topics for non-technical audiences
• Deep familiarity with operating systems (Linux, Unix, macOS, and Windows) and modern networking concepts
• 5+ years in a technical support or customer-facing engineering role, ideally in a SaaS, DevOps, or observability-focused environment
• Demonstrated leadership potential, including the ability and drive to lead a team, mentor colleagues, and autonomously manage initiatives
• Experience with cloud platforms like AWS, Azure, or Google Cloud Platform
• Bachelor’s degree in Computer Science, Information Technology, or a related technical field
• Collaborative mindset, with a track record of building strong working relationships across functions
• Strong diagnostic and debugging skills across complex distributed systems
• Calm under pressure, with the ability to multitask and prioritize in high-stakes situations
• Exceptional problem-solving skills and a methodical, customer-first approach to issue resolution
• Working knowledge of Kubernetes — particularly in troubleshooting, scaling, and deployment contexts
• Experience with observability/monitoring tools such as Prometheus, Grafana, Jaeger, Loki, or similar platforms
• Proficiency with OpenTelemetry (OTEL), configuring and troubleshooting for distributed tracing, metrics, and logging
• Experience using Terraform to deploy infrastructure preferably in combination with CI/CD tools such as Github Actions or Jenkins
• Hands-on experience with Kubernetes clusters, including Helm, CNI, CSI, kubectl, and k9s
• Exposure to modern data storage and retrieval systems including SQL, NoSQL, and data warehousing technologies