Software Engineer

Job Description

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 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 design, develop, and maintain robust software applications, leveraging Python, cloud platforms (AWS, Azure), and CI/CD tools like Harness and Jenkins. Your focus is on extracting data from different sources, Transforming at into structured format and loading into a Datawarehouse like MSSQL or Oracle.You will collaborate with cross-functional teams to build innovative solutions, optimize system performance, and ensure operational excellence through effective monitoring and automation. The role will work closely with a global team of engineers to build robust solutions that meet our business objectives following continuous integration and continuous deployment processes, while providing guidance to associate level engineers. Additionally, they will provide recommendations to management as to process, technologies, or other improvements intended to benefit productivity, efficiency and/or quality of the solutions developed by the team and occasionally lead the implementation of new solutions.

Responsibilities

Principal Duties and Essential Responsibilities:

• Python programming (expert-level proficiency)
• CI/CD pipeline development and management using Harness and Jenkins
• ETL Tools like SSIS/Talend/Informatica, and excellent knowledge on Datawarehouse.
• Knowledge on SQL and T-SQL is a must
• Cloud Technologies: AWS and Azure (architecture, deployment, and management)
• Cloud monitoring and observability using Datadog
• SQL or PostgreSQL (nice to have)
• Evaluate whether implementation tasks meet feature requirements and work with Team Lead and Technical Architect to ensure it does
• Develop features using best practices and ensure it fits with the architecture for the product
• Ensure the right work is being done, work with Team Lead to know that product qualities like, unit tests, automation, throughout
• Communicate relevant risks and issues to Team Lead and other relevant team members inside and/or outside the team
• Provide technical leadership to less experienced members of the team – mentor, coach, continuous improvement, led by example
• Work with local and wider engineering teams to define, document, and communicate a coherent feature design
• Create documentation and guides for junior members of the team
  
  
  

Qualifications

Minimum Requirements:

• Minimum 3 years of experience in software development
• Proven expertise in Python and cloud-based development (AWS, Azure)
• Knowledge on ETL Tools like SSIS/Informatica/Talend
• Having Excellent knowledge on Datawarehouse
• Familiarity with SQL or PostgreSQL
• Experience working with global teams preferred
• Design, code, test, and deploy scalable software applications using Python
• Build and maintain APIs, microservices, and backend systems
• Ensure code quality through best practices, unit testing, and code reviews
  
  
  

ETL & Data Warehouse Development:

• Design, build, and optimize ETL pipelines using Python and cloud-native tools (e.g., AWS Glue, Azure Data Factory)
• Develop and maintain data warehouse solutions (e.g., AWS Redshift, Azure Synapse) for analytics and reporting
• Ensure data quality, integrity, and performance in ETL and data warehouse processes
  
  
  

Monitoring & Observability:

• Set up and manage monitoring solutions using Datadog for real-time insights
• Analyze system performance metrics and troubleshoot issues proactively
• Ensure system reliability through effective alerting and logging strategies
  
  
  

Collaboration & Innovation:

• Work closely with product managers, architects, and other engineers to align on requirements
• Contribute to technical design discussions and propose innovative solutions
• Mentor junior engineers and share knowledge on best practice
• Agile Methodology: Experience working JIRA and in an Agile team.