Associate Engineer, Site Reliability

At Verint, we believe customer engagement is the core of every global brand. Our mission is to help organizations elevate Customer Experience (CX) and increase workforce productivity by delivering CX Automation. We hire innovators with the passion, creativity, and drive to answer constantly shifting market challenges and deliver impactful results for our customers. Our commitment to attracting and retaining a talented, diverse, and engaged team creates a collaborative environment that openly celebrates all cultures and affords personal and professional growth opportunities. Learn more at www.verint.com . Overview of Job Function: As an Associate SRE, you will be a hands-on contributor on the SRE team, supporting reliability, automation, observability, and incident response efforts across the organization. Working under the guidance of senior and principal SREs, you will help implement SLIs/SLOs, reduce manual toil through automation, improve telemetry, and participate in on-call rotations and blameless postmortems. You will be expected to bring a growth mindset, a bias toward “everything-as-code,” and a willingness to ask questions, dig into unfamiliar systems, and continuously improve. This role offers strong mentorship and exposure to cross-organizational collaboration in the true spirit of DevOps. Principal Duties and Essential Responsibilities: Implement and maintain SLIs and SLOs for assigned services, working alongside senior SREs Write automation scripts and pipelines to reduce manual toil within CloudOps Contribute to Infrastructure and Configuration as Code (e.g. Terraform, Helm, Ansible) Build, tune, and maintain dashboards, alerts, and telemetry in observability tools Partner with R&D and Operations teams to enhance telemetry and improve service reliability Participate in the on-call rotation and respond to incidents under the guidance of senior engineers Support the design and implementation of automated incident response workflows and runbooks Participate in blameless postmortems and follow up on assigned engineering action items Shadow senior SREs during complex outages, architectural reviews, and fire drills Build AI-powered solutions to operational problems, with a particular focus on improving availability (e.g. agentic incident triage, predictive alerting, automated remediation, AI-assisted runbooks) Continuously learn cloud, Kubernetes, and SRE best practices and apply them to daily work Take ownership of assigned tasks and communicate progress, blockers, and learnings clearly Minimum Requirements: B.S. degree in Computer Science, Engineering, or related field (or equivalent practical experience, including bootcamps or demonstrable self-taught work) 1-3 years of professional experience in software engineering, SRE, DevOps, or systems administration Exposure to at least one public cloud (AWS or Azure) Exposure to containers and Kubernetes fundamentals (Docker, Helm, YAML) Familiarity with Linux and shell scripting; exposure to Windows/PowerShell a plus Comfortable using Git for branching, pull requests, and merges Strong troubleshooting curiosity and willingness to dig into unfamiliar systems Willingness to participate in an on-call rotation Strong written and verbal communication skills Growth mindset — actively seeks feedback and continuously improves High level of personal ownership, accountability, and drive Preferred Skills: Entry-level cloud certification (AWS Cloud Practitioner, Developer Associate, or SysOps Associate; Azure Fundamentals) Familiarity with at least one observability tool (Datadog, Prometheus/Grafana, Splunk, SumoLogic, AppDynamics, etc.) Working proficiency in at least one scripting or programming language (Python, Bash, Go, Java, C#, etc.) Exposure to Infrastructure as Code (Terraform, CloudFormation, Ansible, Pulumi) Exposure to CI/CD pipelines (Harness, GitHub Actions, Jenkins, GitLab CI, etc.) Internship, co-op, or project experience with SaaS, PaaS, or multi-tenant environments Familiarity with incident management tools (OpsGenie, PagerDuty, ServiceNow) Exposure to Agile and DevOps practices Academic, open-source, or personal projects demonstrating automation, reliability, or observability work Experience with AI agentic coding tools (e.g. Claude Code, Cursor, GitHub Copilot) and integrating AI capabilities into solutions and workflows Detail oriented and organized with the ability to manage multiple priorities Positive, collaborative energy and a desire to contribute to a growing team #LI-KD1