UJET

Design, operate, and troubleshoot production GCP infrastructure and GKE clusters while improving automation, observability, security, reliability, scalability, and cost efficiency. | Requires hands-on production cloud and Kubernetes operations, professional Terraform use, and strong GCP networking, Linux, troubleshooting, Kubernetes internals, and scripting skills. | 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. Learn more at www.ujet.cx. The Opportunity We are seeking a highly experienced Cloud Infrastructure Engineer to design, build, and evolve the Google Cloud Platform (GCP) infrastructure that powers our cloud-native SaaS platform. This is a deeply technical, hands-on engineering role requiring strong production experience with Google Kubernetes Engine (GKE), Kubernetes infrastructure, Terraform, and cloud networking, preferably on GCP. You will be responsible for the foundational infrastructure that supports our engineering organization, including Kubernetes clusters, GCP networking, infrastructure automation, identity and access management, and shared infrastructure services. We are looking for engineers who have directly designed, built, operated, and troubleshot complex Kubernetes environments running on cloud providers—not simply deployed applications into existing clusters. What You'll Do Design, build, operate, and maintain production infrastructure on Google Cloud Platform (GCP), including GKE, VPC networking, load balancers, Cloud DNS, IAM, and related cloud services. Own the architecture and lifecycle of Kubernetes clusters, including provisioning, upgrades, node pool management, autoscaling, networking, capacity planning, and operational troubleshooting. Develop and maintain Terraform modules, infrastructure-as-code frameworks, and automated provisioning workflows that enable consistent, reliable infrastructure management. Troubleshoot complex infrastructure issues across Kubernetes, Linux, networking, DNS, cloud services, and distributed systems. Design and maintain GCP networking infrastructure, including VPCs, subnetworks, firewall rules, routing, NAT, load balancing, and connectivity between services and environments. Build and improve infrastructure observability using Prometheus, logging systems, metrics, alerting, and related monitoring tools. Implement and maintain infrastructure security controls, including IAM policies, service accounts, secrets management, and least-privilege access patterns. Drive infrastructure reliability, scalability, performance, and cost optimization across our GCP environment. Plan and execute major infrastructure upgrades, migrations, and architectural improvements while minimizing production risk. Partner with Platform Engineering, SRE, and Security teams to establish scalable infrastructure patterns and clear technical ownership. Participate in technical design reviews, architecture discussions, and mentorship of other engineers. Required Qualifications Cloud Native Infrastructure, Google Cloud Platform (GCP) preferred 3+ years of hands-on production experience, including designing, provisioning, operating, and troubleshooting cloud infrastructure. Deep practical knowledge of GCP networking, including VPCs, subnets, firewall rules, routing, Cloud NAT, Cloud DNS, and Cloud Load Balancing. Experience managing GCP projects, IAM policies, service accounts, and infrastructure security configurations. Demonstrated experience debugging production infrastructure problems involving multiple GCP services. Kubernetes / GKE 3+ years of hands-on experience operating production Kubernetes clusters, preferably Google Kubernetes Engine (GKE). Direct experience provisioning, administering, upgrading, and troubleshooting Kubernetes clusters. Strong understanding of Kubernetes architecture and internals, including the control plane, worker nodes, scheduling, networking, services, ingress, storage, and resource management. Experience managing node pools, autoscaling, resource requests and limits, cluster capacity, and Kubernetes version upgrades. Ability to troubleshoot complex Kubernetes infrastructure issues involving networking, DNS, node health, scheduling, resource pressure, and cluster-level failures. Experience using tools such as kubectl, Helm, and Kubernetes monitoring and diagnostic utilities. Experience limited to deploying containerized applications into Kubernetes does not satisfy this requirement. Infrastructure as Code and Automation 3+ years of professional experience using Terraform to provision and manage production cloud infrastructure. Experience developing reusable Terraform modules, managing remote state, and implementing safe infrastructure change processes. Strong scripting and automation skills using Python, Go, Bash, or similar languages. Experience with Git-based infrastructure management workflows, code reviews, and automated validation. Systems and Networking Strong Linux systems administration and troubleshooting skills. Solid understanding of TCP/IP, DNS, HTTP/HTTPS, TLS, routing, firewalls, and load balancing. Ability to diagnose difficult infrastructure problems using logs, metrics, traces, packet-level analysis, and systematic debugging techniques. Experience designing secure, resilient, and scalable production infrastructure. Preferred Qualifications 8+ years of professional engineering experience Extensive experience operating GKE clusters in large-scale, multi-cluster, or multi-region production environments. Experience with GKE networking, Workload Identity, Gateway API, Ingress controllers, and cluster autoscaling technologies. Experience designing multi-project GCP architectures with centralized networking, IAM governance, and infrastructure guardrails. Experience operating Prometheus, Grafana, and centralized logging infrastructure. Experience with Kubernetes infrastructure security, including RBAC, network policies, workload identity, and secrets management. Experience performing major Kubernetes or GCP infrastructure migrations with minimal production disruption. Experience with infrastructure cost optimization, capacity modeling, and cloud resource efficiency. Experience supporting highly available SaaS platforms or distributed systems operating at significant production scale. Mentors senior engineers and drives improvements in engineering practices, reliability, maintainability, and infrastructure scalability. What Success Looks Like Our GCP infrastructure is secure, scalable, reliable, and cost-efficient. Kubernetes clusters are well-managed, observable, consistently maintained, and upgraded with minimal production disruption. Infrastructure provisioning is automated, repeatable, and maintainable through Terraform. Complex infrastructure incidents are diagnosed quickly, with sustainable improvements that prevent recurrence. Engineering teams can depend on stable, well-designed cloud infrastructure foundations. Infrastructure architecture and operational practices continuously improve as the company scales. Why Join Us? You'll have the opportunity to work on challenging infrastructure problems at the foundation of a cloud-native SaaS platform. You'll help shape our GCP and Kubernetes architecture, drive meaningful technical improvements, and work with experienced engineers across Infrastructure, Platform, SRE, and Security. This is an opportunity for engineers who enjoy solving difficult infrastructure problems, take pride in technical excellence, and want direct ownership of the cloud environment that powers a modern production platform. Annual US Hiring Range: $150,000 - $175,000 *A candidate’s actual placement within this range will depend on geographic location, work experience, education, and/or skill level. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. #LI-Remote #LI-Hybrid Why UJET? Impactful Work: Be at the forefront of innovation, directly shaping the future of customer experience. Dynamic Culture: Join a collaborative, inclusive team that values big ideas, creative solutions, and powerful relationships. Comprehensive Benefits: Medical, dental, vision, 401(k) plan, wellness benefits, and more. UJET is an Equal Opportunity Employer UJET provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Compliance Responsibilities Security, data protection and compliance (SDPC) are paramount to the success of our partnerships. All roles at UJET require compliance with legal and regulatory requirements and acceptance and adherence to all policies and standards within UJET. Personnel acknowledges they are personally responsible for reporting any suspected violations or abuse and are required to complete SDPC training and fulfill role-specific SDPC responsibilities. AI Use in Our Hiring Process UJET uses artificial intelligence (AI) technology to assist with the initial review and filtering of job applications against the qualifications listed in this posting. AI does not make hiring decisions, does not conduct interviews, and has no authority to reject or advance a candidate on its own. All application review decisions, candidate screening, and interviews are conducted by members of our human recruiting and hiring teams. Reasonable Accommodation If you would like to request a reasonable accommodation as part of the application process, including an alternative to AI-assisted screening, please contact peopleteam@ujet.cx. Work Authorization & Sponsorship Applicants must be legally authorized to work in the country in which this position is located, without the need for current or future employer-sponsored visa sponsorship. UJET does not sponsor employment visas for this role.

Lead reliability, scalability, and performance improvements across critical services by defining SLOs and error budgets, building observability systems, and directing incident response and postmortems. | 6–10+ years of SRE or backend systems engineering experience with strong observability, incident management, programming proficiency, and ability to influence teams. | 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. Learn more at www.ujet.cx. Opportunity We’re looking for a Senior Site Reliability Engineer to help build and scale a high-impact SRE function. You’ll be a technical leader on a team responsible for improving system reliability, reducing operational toil, and establishing best practices across engineering. In 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. 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. Identify and eliminate toil through automation, tooling, and improved workflows Partner with product and platform teams on architecture decisions, production readiness, and designing systems that recover from failure Build reusable systems and “paved roads” that make it easier for teams to operate their services reliably Mentor other engineers and raise the overall operational maturity of the organization Requirements 6-10+ years of experience in SRE, infrastructure, or backend systems engineering Demonstrated experience of owning reliability outcomes for complex, distributed systems Strong experience with cloud infrastructure (AWS, GCP, or Azure) and production-scale systems Deep understanding of observability, incident management, and system performance Proficiency in at least one programming language (e.g., 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. Stand Out Qualifications Experience building or scaling SRE practices (SLOs, incident frameworks, on-call models) Kubernetes/container orchestration experience Infrastructure as Code (Terraform, etc.) 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 Annual US Hiring Range: $140,000 - $180,000 *A candidate’s actual placement within this range will depend on geographic location, work experience, education, and/or skill level. Why UJET? Impactful Work: Be at the forefront of innovation, directly shaping the future of customer experience. Dynamic Culture: Join a collaborative, inclusive team that values big ideas, creative solutions, and powerful relationships. Comprehensive Benefits: Medical, dental, vision, 401(k) plan, wellness benefits, and more. UJET is an Equal Opportunity Employer UJET provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Compliance Responsibilities Security, data protection and compliance (SDPC) are paramount to the success of our partnerships. All roles at UJET require compliance with legal and regulatory requirements and acceptance and adherence to all policies and standards within UJET. Personnel acknowledges they are personally responsible for reporting any suspected violations or abuse and are required to complete SDPC training and fulfill role-specific SDPC responsibilities. AI Use in Our Hiring Process UJET uses artificial intelligence (AI) technology to assist with the initial review and filtering of job applications against the qualifications listed in this posting. AI does not make hiring decisions, does not conduct interviews, and has no authority to reject or advance a candidate on its own. All application review decisions, candidate screening, and interviews are conducted by members of our human recruiting and hiring teams. Reasonable Accommodation If you would like to request a reasonable accommodation as part of the application process, including an alternative to AI-assisted screening, please contact peopleteam@ujet.cx. Work Authorization & Sponsorship Applicants must be legally authorized to work in the country in which this position is located, without the need for current or future employer-sponsored visa sponsorship. UJET does not sponsor employment visas for this role.