About Us UJET leads the way in AI-powered contact center innovation, delivering a future-proof, cloud platform that redefines the customer experience with cutting-edge AI, true multimodality, and a mobile-first approach. We infuse AI across every aspect of your customer journey and contact center operations, to drive automation and efficiency. UJET's AI solutions empower agents, optimize customer journeys, and transform contact center operations for elevated experiences and actionable insights.

Built on a cloud-native architecture with a unique CRM-first approach, UJET ensures unmatched security, scalability, and prioritized data insights (without storing PII). Designed for effortless use, UJET partners with businesses to deliver exceptional interactions, smarter decision-making, and accelerated growth in the AI-driven world. cx .

Position Overview We’re looking for a Senior Site Reliability Engineer to help build and scale a high-impact SRE function. bIn this position, you’ll design how reliability works in UJET, influence engineering decisions, and build the tooling and processes that make production safer and more predictable.

Responsibilities

Lead efforts to improve system reliability, scalability, and performance across critical services Define and implement SLIs/SLOs and error budgets, and use them to guide engineering priorities Design and develop observability systems (metrics, logging, tracing, alerting) that produce actionable alerts and data with minimal noise Lead complex incident response, acting as incident commander when needed Conduct postmortems focused on systemic causes rather than individual fault, and ensure corrective actions from those reviews are completed.

Qualifications

, Go, Python, Java) with a focus on automation and tooling Able to change how other teams work without having managerial authority over them Strong competency in making clear decisions during incidents by following a defined process without reacting emotionally.

Nice To Have

) Experience with high-growth or scaling systems Background in performance engineering or capacity planning Success Criteria Critical services have clear, meaningful SLOs that drive engineering decisions Alerts are actionable; irrelevant alerts are reduced; on-call workload is manageable. Incidents are handled efficiently, and repeat issues decline over time Engineering teams adopt reliability best practices with minimal friction Toil is actively reduced through automation and better system design Position Context This is an early position in the company's SRE function. You will have direct input into how reliability standards and practices are established, which forms the foundation on which product engineering builds.