YOUR IMPACT
• Implement scalable backend services using Java/J2EE and MongoDB, ensuring high software development standards.
• Develop and implement technical efforts to design, build, and deploy Mule APIs which can process large-scale data, UI in Angular and deploy them in CloudHub1.0 and AWS
• Integrate AI-driven features into applications and workflows, using Python libraries and frameworks.
• Collaborate with multi-functional teams including product owners, data scientists, QA engineers, and DevOps to deliver end-to-end solutions.
• Mentor junior Engineers. Conduct design/code reviews, and follow standard methodologies across AI, backend development, and database integration.
• Fix and resolve complex technical issues across application and data layers working with technical team.
• Drive continuous improvements by staying updated on the latest advancements in AI/ML and modern data engineering practices.
MINIMUM QUALIFICATIONS
• Minimum of 5-7+ years of professional experience in software development.
•Proficiency in Python, Java, AI technologies, MuleSoft 4.6, CloudHub1.0, Angular, MongoDB Atlas
• Ability to work with the engineering/testing teams in multiple time zones.
• Experience working in an Agile development team setting.
• English language fluent
PREFERRED QUALIFICATIONS
• Experience with Salesforce development integrating applications with Salesforce via APIs and exposure to MuleSoft.
• Strong problem-solving skills and the ability to work in a fast-paced environment.
• Excellent communication and collaboration skills.
• A passion for innovation and a commitment to delivering exceptional results.
• Strong written and verbal communication skills.