Software Engineer III

Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

• Contributes to software engineering communities of practice and events that explore new and emerging technologies

• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on RPA , UI Path , Azure,concepts and 3+ years of applied experience

• Hands-on practical experience in system design, application development, testing, and operational stability

• Proficient in coding in one or more languages

• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

• Overall knowledge of the Software Development Life Cycle

• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

• Full Software Development Life Cycle experience within an Agile framework. Strong technical development experience on effectively writing code, code reviews, best practices on configuration management and code refactoring.

• Experience with public / private cloud architecture. Understanding of atleast one cloud platforms, preferably AWS (or) Azure.

• Experience with RPA tool(s) such as WinAutomation, Automation Anywhere (or) UI Path and Core Java script skills. Good experience on VB Script.

• Ability to work in a 24x7x365 global support environment.

• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Understanding of at least one cloud platform, preferably AWS (or) Azure
• Exposure to cloud technologies