You will work in an innovation driven, collaborative environment to understand requirements, architect, design and implement functionalities / features
You will work with customers, understand their requirements and translate then to product features
You will work in a agile development environment and be part of large scale scrums
You will actively contribute to all phases of software development including development and testing
You will experience a culture of continuous learning to aid progression
You will develop proof of concepts to establish technical feasibility
You will mentor junior members
You will get an opportunity to work with various open source products and actively contribute back to their community
You will get equal opportunity to work on cloud and software product deployments
You will be the pioneers and be part core team to set up and establish this mission
Required Technical and Professional Expertise
Strong experience in any test automation tool and framework. More than 10+ years of experience in QA automation area
Strong experience in API testing and api test automation
Understanding of SQL and the ability to write and interpret sql queries
Familiarity and experience with Java or python
Demonstrate strong experience in all testing phases, working as a QA in agile programs and as part of agile scrums
Experience working with Linux or Unix based OS
Working knowledge in Container technologies: Kubernetes, Docker
Experience working with Automation and Integration processes and tools like Jenkins.
Experienced with tools such as GitHub
Experience working in an Agile/SCRUM-based environment
Excellent communication skills (verbal and writing)
Excellent communicator
For Senior Bands
Team leading and leadership experience
Influencing skills
Experience of having worked in global organisations will be an added advantage.
Preferred Technical and Professional Expertise
Experience with AI & ML Technologies
Experience with Data Engineering, Data Governance, Data Management
AWS or IBM Cloud expertise
Awareness or past experience in Big Data technologies, Spark, streaming data
Track record of open source contributions
Bachelor’s degree or higher in Computer Science, Software Engineering, Information Systems or equivalent