Cloud Platform Engineer

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Java Full Stack Development Good to have skills : AWS Architecture, API Management Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary Are you an experienced software engineer looking to drive the technical direction of market leading (#1) software products. Join us to help develop our Returns product suite leveraging AI. The ideal candidate has full-stack expertise in development, design, testing, and operations, with experience in scalable Cloud Native SaaS solutions. Platform experience is a plus. Key Responsibilities Technical Leadership: Adopt engineering best practices on architecture, and technology choices. Lead and mentor junior engineers, guide technical design and architecture discussions, and identify design pattern needs. AI Execution: Execute on the mission of AI integration across our product suite, including Generative AI, NLP, and predictive analytics. Development: Design, code (hands-on), and maintain (proactive monitoring, troubleshooting) software solutions using object-oriented or modern languages (C#, Java, Go etc.) Test: Create test scenarios and design, develop, and execute corresponding automated tests. Cloud Infrastructure: Experience with major cloud providers like AWS, Azure or GCP. Understanding of Infrastructure as Code (e.g. Terraform, CloudFormation, Helm etc.) Collaboration: Excel in global cross-functional teams, including product management and architecture. Code Reviews: Utilize code reviews to ensure code quality, performance and maintainability, as well as mentoring opportunities. Continuous Improvement: Champion a culture of continuous improvement by driving engineering excellence, conducting root cause analyses, and implementing feedback loops to enhance code quality, team productivity, and system reliability. Qualifications Education: Master s degree (preferred) or bachelor s degree in computer science, engineering, or a related field (or equivalent experience). Experience: 8+ years in software development and testing, with at least 3 years in Cloud Native SaaS applications. Experience working on AI/ML initiatives or certifications in AI technologies is a strong plus. Skills Experience in object-oriented/modern languages (C#, Java, Go etc.) Understanding of software design patterns Proficient in RESTful API, Open API design and development, and database technologies (RDBMS, NoSQL). Proficiency with CI/CD pipelines, containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation, etc.). Hands-on experience with event driven architecture (e.g., Kafka, Pulsar, SNS/SQS).