Engineer, Software

Verint is dedicated to enhancing customer engagement and workforce productivity through CX Automation. The Software Engineer will contribute to the DaVinci Data Engine domain, focusing on platform engineering and runtime infrastructure, while collaborating with various teams to design and build full-stack features.

Responsibilities:

• Design, build, and operate software components and runtime capabilities that support reliability, scalability, and security for team‑owned services
• Own and evolve CI/CD pipelines for team‑owned services, including build automation, artifact promotion, security scanning, and release workflows
• Operate and support Kubernetes‑based distributed deployments, including diagnosing availability, networking, and performance issues in production
• Implement and evolve runtime‑ and platform‑focused features, devise implementation plans, and review related work with team members
• Implement and maintain monitoring, logging, alerting, and health checks to ensure service reliability and fast incident response
• Debug and resolve complex production issues across cloud and on‑premises environments
• Apply operational and security best practices within team‑owned services, including automation, least privilege, and defense‑in‑depth
• Communicate effectively with internal stakeholders and customers during production incidents and root‑cause analysis
• Mentor engineers and contribute to a collaborative, high‑performance engineering culture
• Participate in the team on‑call rotation, collaborate in war‑rooms to resolve customer‑facing incidents, and contribute data and analysis to post‑incident reviews together with senior engineers and architects

Requirements:

• Bachelor's degree in computer science / software engineering (or similar) or equivalent experience
• 3 years experience with Java Spring Boot, practical experience of software development or proven equivalent seniority in software development with product teams
• Strong experience developing production software in Java and/or Python, with an emphasis on services running in distributed, containerized environments
• Strong experience with Docker/Podman, including building, securing, and maintaining container images
• Strong troubleshooting skills in production, multi‑node, and performance‑sensitive environments
• Experience working directly with internal stakeholders to diagnose and resolve production issues
• Strong communication skills and ability to work independently and collaboratively
• Demonstrated ownership of operational systems and the ability to deliver functional increments end‑to‑end
• Experience with monitoring, logging, alerting, and performance tuning in distributed cluster scenarios. (Datadog, Prometheus)
• Experience supporting and evolving software in production, including on‑call participation, operational debugging, and incremental improvement of runtime-behaviour
• Familiarity with cloud security and supply‑chain security practices
• Experience supporting AI/ML or LLM‑based platforms in production environments
• Experience operating Kubernetes-based distributed systems, including networking and container orchestration. (KServe, Knative, OpenShift, OKD)
• Ability to apply operational and security best practices within team‑owned services, including automation, least privilege, and defense‑in‑depth