• Maintaining global Tyk Cloud within SL(A/I/O)s you will help to define • Identifying reliability issues and working together with your squad to solve them • Identifying and introducing new metrics and building relevant dashboards • Participating in the on-call rotation • Working with your squad to expand multi-region and multi-cloud reach of the platform • Documenting operational knowledge • Conducting post-incident analysis • Automating common tasks • Be a key shaper and contributor to our continuous improvement agenda – be it the clarity of our user stories, how we estimate, communicate with other teams or customers – we expect this role to be advocate of continuous improvement • Reliability of our new global Tyk Cloud platform • Automation of operations and support • Writing and maintaining documentation on SRE processes and policies • Recommending and implementing ways of driving operational efficiency and driving down our cost to run, without impacting service • Assisting in penetration testing for Cloud through liaising with our provider, providing technical details, and environment setup • Incident management

• Design, implement, and manage the infrastructure for our blockchain ecosystem • Take ownership of designing and managing the company's cloud infrastructure on AWS, GCP, and Cloudflare • Architect and optimize cloud solutions for scalability and security • Optimize deployment, monitoring, and scaling of blockchain nodes • Automate the deployment process using CI/CD pipelines • Ensure high availability, reliability, and security of the infrastructure • Collaborate with the development team to integrate DevOps practices • Maintain and manage code repositories and workflows on GitHub • Troubleshoot and resolve infrastructure-related issues • Lead and mentor a team of DevOps professionals

We are seeking a Site Reliability Engineer (SRE) with deep expertise in monitoring, observability, and reliability engineering to support systems running across on-premises infrastructure and Google Cloud Platform (GCP). This role is primarily responsible for designing, operating, and improving monitoring, alerting, and observability platforms, with a strong focus on Grafana and Kubernetes environments. As a secondary responsibility, this role provides backup coverage for the Application Support team during periods of resource constraints or major incidents, offering L2/L3 technical support when required. ResponsibilitiesMonitoring & Observability (Core Focus) - Own and operate the monitoring and observability stack across on-prem and GCP environments - Design, build, and maintain Grafana dashboards for infrastructure, Kubernetes, and applications - Define, tune, and maintain alerts to ensure high signal-to-noise ratio - Establish observability standards and best practices across teams - Improve visibility into system health, performance, and reliability Site Reliability Engineering - Apply SRE principles to improve availability, performance, and resilience - Define and track SLIs, SLOs, and error budgets - Participate in on-call rotations and SEV incident response - Lead or contribute to incident investigations and root cause analysis (RCA) - Drive preventative actions to reduce repeat incidents Kubernetes & Platform Reliability - Support and monitor Kubernetes environments (GKE and on-prem clusters) - Monitor cluster health, capacity, and resource utilization - Troubleshoot platform-level issues impacting application reliability - Collaborate with Platform and Engineering teams on reliability improvements Secondary Responsibilities (Backup Application Support) - These responsibilities are activated as needed, not part of day-to-day operations. - Provide L2/L3 application support coverage during: - Support team resource shortages - High-severity incidents (SEVs) - Peak support periods or escalations - Triage and troubleshoot application issues using existing runbooks and dashboards - Collaborate with Application Support and Engineering teams during incidents - Ensure all actions, findings, and resolutions are documented in ServiceNow (SNOW)

About Lucidya Lucidya is an AI-native Customer Experience Intelligence platform enabling enterprises to understand, engage, and retain customers at scale. Unlike tools that just surface insights, Lucidya completes the loop with proprietary AI capabilities, helping teams take action and improve customer experiences across marketing, support, and research. As we scale globally, building reliable, scalable, and automated infrastructure is a top priority. DevOps is a core pillar of our engineering strategy, and we are investing heavily in deployment pipelines, observability, and operational efficiency across all products. Why This Role Matters Our engineering teams deliver fast-moving, AI-driven products, and the backbone of their speed and reliability is solid infrastructure and automation. As a DevOps Engineer, you’ll ensure our systems scale seamlessly, deployments happen without friction, and incidents are caught before they impact users. You’ll enable our teams to move faster, focus on building features, and trust that the platform is rock-solid. You’ll be part of shaping the operational culture at Lucidya, where automation, reliability, and proactive problem solving aren’t just buzzwords, they’re outcomes we obsess over every day. What You’ll Do - Own and improve CI/CD pipelines, ensuring software is delivered efficiently, reliably, and at scale. - Manage, deploy, and optimize containerized applications using Docker and Kubernetes. - Maintain and evolve cloud infrastructure with Infrastructure as Code (Terraform), ensuring high availability and scalability. - Implement monitoring, alerting, and logging solutions (e.g., Grafana), catching issues before they affect users. - Automate repetitive operational tasks and support development teams with infrastructure needs. - Collaborate closely with engineers to optimize system performance, reliability, and release processes. - Apply security best practices across deployments, pipelines, and infrastructure. Day-to-Day You’ll: - Operate Kubernetes clusters, manage scaling, and ensure service reliability. - Build and enhance CI/CD pipelines for new and existing services. - Monitor system health, troubleshoot issues, and resolve incidents efficiently. - Support development teams with deployment processes and infrastructure requests. - Continuously improve automation, observability, and operational efficiency. Success Looks Like: - Highly reliable CI/CD pipelines with minimal failures. - Kubernetes environments that scale seamlessly under load. - Faster incident response and proactive problem detection. - Reduced manual operational effort thanks to automation. First 90 Days: - 0–30 Days: Gain deep understanding of Lucidya’s infrastructure, architecture, and workflows. - 30–60 Days: Contribute to CI/CD pipelines, handle smaller tasks, and support issue resolution. - 60–90 Days: Successfully onboard 2–3 services to the Kubernetes cluster with full CI/CD, monitoring, and health checks.