Senior Software Engineering Manager

Software Engineering Manager

At Verint, we believe customer engagement is the core of every global brand. Our mission is to help organizations discover opportunities previously only scarcely imagined by connecting work, data, and experiences enterprise wide. We hire innovators with 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. 

Are you an engineering leader passionate about building robust, scalable cloud-native applications? Do you thrive in fast-paced environments fueled by continuous improvement and experimentation? If so, then we want you!

We are seeking a dynamic and experienced Cloud Native Product Development Software Engineering Manager having AI & Data engineering skills to join our team and drive the future of our products. You will spearhead the development of our cloud-native products, ensuring they are performant, resilient, and highly available at scale.

Responsibilities:

Delivering Value through Agile Project Leadership:

• Translate strategic vision into executable roadmaps with clear priorities, milestones, and resource allocations.
• Champion Agile methodologies, leading teams in iterative development cycles to ensure timely and efficient delivery.
• Proactively manage project risks and dependencies, navigating challenges within budget and resource constraints.
• Foster a culture of transparency and open communication, regularly updating stakeholders and addressing concerns collaboratively.
• Leverage data-driven insights to track project performance, identify improvement opportunities, and optimize delivery processes.

Technical Expertise:

• Deep understanding of AI & Data technologies, Cloud-native principles, including microservices architecture, containerization (e.g., Docker, Kubernetes), CI/CD pipelines, API development, BPM and DevOps practices.
• Hands-on experience building and scaling cloud-native applications on specific platforms (e.g., AWS, Azure, GCP).
• Hands on experience on Business Process Modeling, Process / Task Mining and BPMN2.0
• Proven ability to implement and manage infrastructure provisioning, application deployment, and cloud resources.
• Champion automation, actively promoting and implementing tools for infrastructure, configuration, deployment, and testing.

Product-Centric Mindset:

• Translate product strategy into technical requirements and architecture.
• Collaborate effectively with Product Managers and Product Owners to understand user needs and deliver high-quality, scalable products.
• Ensure engineering decisions are aligned with business goals and drive value.

Talent Management and Team Leadership:

• Build and nurture a high-performing team of cloud-native engineers.
• Attract and hire top talent with the right skills and passion for cloud-native development.
• Create an environment for continuous learning and growth, fostering mentorship and career development.
• Foster a culture of innovation, experimentation, and continuous learning within the engineering team.
• Lead and mentor engineers in Agile methodologies like Scrum or Kanban, ensuring efficient delivery against agreed priorities.

Bonus Points:

• Security expertise in cloud environments.
• Experience with cloud-native monitoring and observability tools.
• Familiarity with container orchestration platforms like Kubernetes.
• Open-source contribution and community involvement.
• Leadership in building and maintaining a diverse and inclusive engineering team.

Benefits:

• Opportunity to work with cutting-edge technologies and solve real-world challenges.
• Collaborative and supportive work environment.
• Competitive salary and benefits package.
• Chance to make a significant impact on the success of our company.

Position Requirements: (Competencies, Experience, Interpersonal Skills,):

• Bachelor’s degree in computer science or other applicable engineering disciplines.
• Overall, 15+ years professional experience in the software industry
• Experience of leading a team of 10 to 30 people.
• 5+ years’ experience with software development and managing high skilled DevOps and Engineering team.
• 4 years’ experience working with web-based / Cloud hosted products.
• 3 years working experience with Machine Learning technologies, NLP, Python libraries (Pandas, Keras, TensorFlow etc.)
• 2 years of Programming/scripting experience in any language (preferably C#, Python)
• Hands-on experience building and scaling cloud-native applications on specific platforms (e.g., AWS, Azure, GCP).
• Strong written and verbal communication skills.
• Foster a culture of innovation, experimentation, and continuous learning within the engineering team.