About the job: Build and scale modern cloud-native solutions that keep data moving reliably and securely. In this role, you’ll work hands-on with Google Cloud Platform to design and deliver robust pipelines and services, leveraging Kafka for high-throughput streaming and Jenkins to automate build, test, and release workflows. You’ll collaborate closely with engineers, platform teams, and stakeholders to turn ideas into production-ready capabilities—improving performance, resilience, and developer experience along the way. If you enjoy solving real-world engineering challenges, streamlining delivery through CI/CD, and contributing to a culture of continuous improvement, this opportunity offers the right mix of ownership, learning, and impact. You’ll also get room to explore practical AI enablement where it adds value, while staying grounded in strong engineering fundamentals and team-first execution. Key Responsibilities: Cloud & Application Delivery (GCP) - Design, develop, and deploy solutions on GCP aligned to scalability, security, and reliability expectations for 3–5 years experience level. - Implement cloud best practices for networking, IAM, logging/monitoring, and cost-aware resource usage across environments. - Build and maintain infrastructure and application configurations to support repeatable deployments and stable releases. Streaming & Messaging (Kafka) - Develop and maintain Kafka producers/consumers and streaming workflows with attention to throughput, latency, and fault tolerance. - Configure topics, partitions, retention, consumer groups, and delivery semantics to meet functional and non-functional requirements. - Troubleshoot and optimize Kafka-based integrations, ensuring reliability and observability in production. CI/CD Automation (Jenkins) - Create and enhance Jenkins pipelines for build, test, quality gates, and deployments across multiple environments. - Automate release processes, improve pipeline performance, and enforce consistent standards (branching, versioning, approvals). - Integrate CI/CD with artifact repositories, code quality tools, and deployment targets to enable continuous delivery. Collaboration & Quality - Participate in code reviews, technical discussions, and sprint ceremonies; contribute to clean, maintainable, well-documented code. - Support incident triage and root-cause analysis; implement preventive fixes and continuous improvements. - Work with cross-functional teams to translate requirements into technical designs and deliverables. AI Enablement (as applicable) - Contribute to AI-related integrations or enablement tasks (e.g., data flow readiness, service integration) where relevant to the platform. About us: Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Infosys provides equal employment opportunities to applicants and employees without regard to race, color, sex, gender identity; sexual orientation, religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.