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.

• Work with large-scale systems (handling millions of requests per second, serving millions of users, across multiple cloud providers). • Develop solutions to enhance performance, availability, security, and cost-effectiveness. • Keep us up, keep us fast, and keep our dev teams productive ensuring that every peer release improves performance across the spectrum including quality, security, uptime, speed-to-deliver, threat detection, and customer engagement. • Source improvement ideas, priority and capabilities from customers, the internal community, new and existing system metrics. Make decisions rapidly. • Be creative and desire an environment where you can directly create value and be a force to improve the experience for our customers.

Summary The role of the DevOps Engineer is to design, implement, and maintain secure, scalable infrastructure and automation systems that enable efficient application deployment and operations, with a strong focus on Kubernetes management and enterprise-grade secrets management solutions like CyberArk Conjur and HashiCorp Vault. Responsibilities - Deploy, configure, and operate secrets management solutions (CyberArk Conjur, HashiCorp Vault) in production environments. - Manage, monitor, and optimize Kubernetes clusters and containerized workloads. - Design and maintain automation for infrastructure provisioning and application deployments. - Ensure secure storage, access, and distribution of secrets across multiple environments. - Collaborate with engineering and security teams to enforce best practices in DevOps and platform security. Qualifications - Strong hands-on experience with Kubernetes deployment, administration, and operations. - In-depth knowledge of secrets management platforms, particularly CyberArk Conjur and/or HashiCorp Vault. - Proven experience deploying and supporting secrets management solutions at enterprise scale. - Proficiency in scripting or programming languages used for automation and infrastructure management. - Solid understanding of security principles related to credentials, secrets, and access control. Location - This role is remote in the US, and candidate must complete onsite orientation in local office - To be considered for this position, candidates must reside in one of the following U.S. states: AL, AR, AZ, CA, CO, CT, DE, FL, GA, IA, ID, IL, IN, KS, MA, MD, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, TN, TX, VA, WI, and Washington DC. - Candidates residing outside these states are not eligible for consideration currently. - 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 currently. We are committed to pay equity and transparency. The compensation range for this position represents our good faith estimate of the range we reasonably expect to pay for this role at the time of posting. The actual compensation offered will be determined based on factors such as the candidate’s experience, skills, education, work location, and internal equity. In addition to base pay, employees may be eligible for discretionary bonuses, commissions, or other incentive programs, as well as a comprehensive benefits package that includes medical, dental, vision, 401(k), paid time off, etc. Estimated Compensation Range: $114,000—$138,000 USD FormativGroup operates within the critical middle layer of business technology, where applications and systems connect infrastructure to business processes. We are specialists who help the middle market take full advantage of their technology investments with deep, industry-centric expertise, all in one place, to unify fragmented systems. With deep technical expertise across cloud architecture, system integration, AI, and data strategy, we bridge the gap between business goals and modern platforms. FormativGroup is an equal opportunity employer providing opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. #formativgroupcareers #WorkWithUs Click here to view our Privacy Policy