Senior Software Developer

2 days ago

Greater Bengaluru Area, India Quantiphi Full time

Responsibilities - Design, develop, and implement scalable and secure data integration pipelines and application connectors for AgentSpace projects. - Leverage iPaaS platforms, including Apigee and similar tools, to build robust APIs and integration layers that seamlessly connect AgentSpace with diverse enterprise systems. - Collaborate with Machine Learning Engineers and Data Scientists to ensure seamless data flow and integration for AI-powered solutions. - Work closely with client teams to understand existing toolsets and data sources, ensuring effective deployment and integration of AgentSpace functionalities. - Develop and maintain high-quality codebases for data extraction, transformation, and loading (ETL) processes, ensuring data quality and integrity. - Contribute to solution architecture discussions, focusing on integration patterns, API design, and data governance for complex, multi-industry problems. - Implement best practices for software development, testing, and documentation, ensuring high-quality, production-ready solutions. - Stay abreast of the latest advancements in Generative AI, LLMs, and cloud-native integration technologies, applying new knowledge to enhance solutions. Qualifications - Education: Bachelor’s or Master’s Degree in Computer Science, Software Engineering, or a related technical field. - Experience: Minimum 4-8+ years of professional experience as a Software Developer, with a strong emphasis on data integration, API development, iPaaS platforms. Skills: - Strong analytical and problem-solving skills, with a proven ability to tackle complex, multi-industry challenges. - Strong proficiency in any one of the programming languages such as Python, or Java, or Node.js. - Thorough understanding and hands-on experience with API development, orchestration, and application integration using platforms like Apigee and Vertex AI. - Solid understanding of API design principles (REST, gRPC) and experience with API management. - Demonstrated experience with data and analytics concepts, including ETL/ELT processes and data warehousing. - Good understanding of Generative AI and Large Language Models (LLMs). - Proven experience working with cloud platforms, particularly Google Cloud Platform (GCP) services relevant to data and application integration (e.g., Cloud Functions, Pub/Sub, BigQuery, Cloud Storage). - Excellent communication and collaboration skills. Nice-to-Have Skills: - Direct hands-on experience with Google's AgentSpace platform - Experience with iPaaS tools such as MuleSoft, Dell Boomi, or similar. - Knowledge of data governance and security best practices in cloud environments. - Familiarity with real-time data streaming technologies. - Experience with version control systems (Git) and CI/CD pipelines. - Experience with AgentSpace connectors to client tools such as SharePoint, Jira, Confluence, Salesforce, Slack, ServiceNow, and OneDrive.

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