SA Captive RTH-Y Note: 1. This position requires the candidate to work from the office starting from day one. 2. Ensure that you perform basic validation and gauge the interest level of the candidate before uploading their profile to our system. 3. Candidate Band will be count as per their relevant experience. We will not entertain lesser experience profile for higher band. Mode of Interview: Face to Face (Mandatory). **JOB DESCRIPTION** Total Years of Experience: 10 to 15 Years Relevant years of Experience: 5+ yrs Mandatory Skills: software-engineering,-Go,-Kafka,-Oracle-PL/SQL,-Snowflake,-AWS,-Terraform,-Jenkins,-Github-Actions Detailed Job Description: Key Responsibilities: Lead & Innovate: Architect and develop robust, event-driven microservices in Go, designed to manage high-volume, real-time financial transactions and data flows. Build for Scale: Design and evolve enterprise-wide event pipelines that are highly reusable and extensible, providing flexible building blocks capable of processing current and future business use cases across various domains. Collaborate & Impact: Work cross-functionally with teams across engineering, product management, finance, and compliance to ensure solutions are resilient, compliant, and strategically aligned. Leverage AI/ML: Pioneer the integration of artificial intelligence and machine learning to automate manual finance tasks such as reconciliations, reporting, forecasting, and financial journal creation—enhancing accuracy, efficiency, and innovation. Real-Time Excellence: Design, deploy, and optimize streaming technologies like Kafka to deliver real-time financial insights and ensure rapid response capabilities. Optimize & Refine: Continuously enhance financial data models, balancing complex compliance requirements and high-performance standards to meet evolving business needs. Strategic Integration: Advocate and facilitate seamless integration of microservices across diverse financial applications and services, driving scalability, reliability, and future-proof solutions. Required Skills and Experience: 10+ years of progressive experience in software engineering, including at least 3 years in a Senior or Staff-level role, with proven expertise in event-driven architecture and distributed systems. Deep proficiency in Go (or similar languages), with a track record of designing, implementing, and scaling microservices handling extensive real-time data processing. Demonstrated capability in automating complex financial operations, such as payment settlements, reconciliations, revenue recognition, and royalties, along with a strategic vision to apply similar solutions to broader business processes. Extensive hands-on experience with event streaming technologies (Kafka preferred) and proficiency in designing and maintaining sophisticated real-time data pipelines. Strong command of SQL and broad experience with data modeling across various database platforms, including but not limited to Oracle and Snowflake. Proven experience in managing environments with AWS, demonstrating skillful navigation of cloud infrastructure and environment automation using Terraform.. Extensive experience with Continuous Integration and Continuous Deployment (CI/CD) pipelines, automating the software delivery lifecycle using modern tools (e.g., Jenkins, Github Actions, etc) to ensure rapid, reliable, and high-quality software releases. Self-motivated individual who thrives independently yet embraces teamwork and accountability, focused on delivering scalable, enterprise-grade solutions that drive tangible business outcomes Lead & Innovate: Architect and develop robust, event-driven microservices in Go, designed to manage high-volume, real-time financial transactions and data flows. Build for Scale: Design and evolve enterprise-wide event pipelines that are highly reusable and extensible, providing flexible building blocks capable of processing current and future business use cases across various domains. Collaborate & Impact: Work cross-functionally with teams across engineering, product management, finance, and compliance to ensure solutions are resilient, compliant, and strategically aligned. Leverage AI/ML: Pioneer the integration of artificial intelligence and machine learning to automate manual finance tasks such as reconciliations, reporting, forecasting, and financial journal creation—enhancing accuracy, efficiency, and innovation. Real-Time Excellence: Design, deploy, and optimize streaming technologies like Kafka to deliver real-time financial insights and ensure rapid response capabilities. Optimize & Refine: Continuously enhance financial data models, balancing complex compliance requirements and high-performance standards to meet evolving business needs. Strategic Integration: Advocate and facilitate seamless integration of microservices across diverse financial applications and services, driving scalability, reliability, and future-proof solutions. Required Skills and Experience: 10+ years of progressive experience in software engineering, including at least 3 years in a Senior or Staff-level role, with proven expertise in event-driven architecture and distributed systems. Deep proficiency in Go (or similar languages), with a track record of designing, implementing, and scaling microservices handling extensive real-time data processing.  - IBMFG2JP00003426