Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
B.E./B Tech/MCA/M Tech / Bachelors degree Computer Science, Computer Engineering, or other related discipline (16+ years of education, correspondence courses are not relevant)
8+ years of experience working with programming, scripting languages such as Java, NodeJS, React
8+ years of experience with APIs / micro-services development
3+ experience with container technologies (Kubernetes, Docker, etc.)
Experience with event steaming platforms such as Kafka
Experience with Cloud platform (AWS, Azure), GitHub actions
Experience with DevOps, CI / CD
Experience with automated testing frameworks
Experience with RDBMS, Snowflake, data bricks, SQL Server
Experience working with programming, scripting languages such as Java, NodeJS, React or Angular
Experience with APIs / micro-services development
Experience with container technologies (Kubernetes, Docker, etc.)
Experience with monitoring tools like Splunk
Experience with event steaming platforms such as Kafka
Experience with AWS, Azure DevOps, GitHub actions
Experience with DevOps, CI / CD
Experience with automated testing frameworks
Full stack java development experience in container technologies, Kafka, Azure, GitHub
Development experience utilizing Agile
Proficiency with AI-powered development tools such as GitHub Copilot or AWS, Code Whisperer or Googles Codey (Duet AI) or any relevant tools is expected. Candidates should be adept at integrating these tools into their workflows to accelerate development, improve code quality, and enhance delivery velocity
Proven ability to proactively leverage AI tools throughout the software development lifecycle to drive faster iteration, reduce manual effort, and boost overall engineering productivity
Job Classification
Industry: Software ProductFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Full Stack DeveloperEmployement Type: Full time