Engineer, Software

Verint

About The Position

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 a Software Engineer, you will be a core contributor to Verint's DaVinci Data Engine domain, with a strong focus on platform engineering and runtime infrastructure. You will design and build full-stack features end-to-end, write high-quality automated tests, support production systems, and collaborate daily with Product Managers, Designers, QA Engineers, and globally distributed engineering peers. This is a role for engineers who take pride in their craft, are eager to grow through challenging problems, and want their work to have a visible impact on enterprise customers worldwide. You will be surrounded by experienced engineers who are invested in your growth, working in a modern Agile environment on software that matters.

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.

Nice To Haves

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.

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.