yoinka

Director, Senior Engineering (.Net FS + AI/ML)

IHS Markit

Hyderabad, India; Noida, IndiaFull TimeStaff
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Location
Hyderabad, India; Noida, India
Employment
Full Time
Work model
On-Site
Level
Staff

Skills

.NETAWSAgileAngularCI/CDCloudFormationDeep LearningDockerElasticsearchFastAPIFlaskGenAILLMNLPPythonSQLSQL ServerServerlessTerraform

About this role

Role

Director – Software & AI/ML Engineering  Team: Capital Markets | Enterprise Software   Experience: 15+ years total, with 5+ years in software engineering leadership  Role Summary   We are seeking a strategic and experienced Director of Software application development & AI/ML Engineering to lead the development of robust, scalable, and secure enterprise software applications for the capital markets domain, with a strong emphasis on SaaS-based solutions and microservice architectures. This leadership role combines deep expertise in software application development with capabilities in AI/ML to deliver innovative, high-impact solutions that drive automation, intelligence, and compliance in critical financial workflows.

Key Responsibilities

Define and execute the technical roadmap for SaaS-based enterprise software applications, leveraging microservice-based architectures and AWS-native development.   Led the end-to-end software development lifecycle — from requirements gathering and system design to deployment and maintenance — using C#, .NET, Angular, SQL Server, and other Microsoft or open-source technologies.   Architect and deploy scalable, secure, and high-performance applications on AWS, utilizing services such as EC2, ECS, Lambda, RDS, API Gateway, and CloudFormation.   Drive the adoption of microservice-based architectures to ensure modularity, scalability, and maintainability of SaaS applications.   Integrate AI/ML capabilities into applications, focusing on areas like intelligent document processing, market analysis, and risk modeling .   Develop and deploy AI/ML solutions, including Generative AI and LLM-based applications with custom Retrieval-Augmented Generation (RAG) pipelines   Collaborate with Product, Data Engineering, and Client teams to align technical solutions with business and client needs.   Mentor and grow a high-performing engineering team, fostering a culture of innovation, collaboration, and technical excellence.   Ensure applications and AI systems are secure, compliant, and traceable, adhering to regulatory standards in the capital markets domain.

Required Qualifications

Education : Bachelor’s or master’s degree in computer science , Software Engineering, or a related field.   Experience :   15+ years in software development, with minimum 5 years in leadership roles focused on application development.   Proven track record of delivering SaaS-based applications using microservice architectures, ideally in capital markets, fintech, or enterprise software.   Technical Skills :   Expertise in C#, Angular, SQL, and the broader Microsoft technology stack for building robust, scalable back-end systems and developing dynamic, responsive front-end interfaces.   Deep knowledge of microservice-based architectures, including design, implementation, and orchestration (e.g., using proprietary container orchestration platforms or ECS).   Extensive experience in SaaS application development, focusing on scalability, multi-tenancy, and performance.   In-depth expertise in AWS-native application development, leveraging services like EC2, ECS, Lambda, RDS, API Gateway, and CloudFormation.   Familiarity with DevOps practices, including CI/CD pipelines, Docker, Terraform, and AWS CDK for infrastructure-as-code.   Strong understanding of Python and API development using FastAPI or Flask for AI/ML integration.   Good Understanding of ML algorithms, feature engineering, deep learning, and modern NLP techniques.   Hands-on experience with LLMs, RAG systems, and frameworks like LangChain , Llama Index , and vector databases (e.g., FAISS, Pinecone, OpenSearch).   Familiarity with AWS AI/ML services like SageMaker and Bedrock for model training and deployment.     Leadership & Communication:   Proven ability to lead and scale software engineering teams in complex, data-driven environments.

Director, Senior Engineering (.Net FS + AI/ML) at IHS Markit — Hyderabad, India; Noida, India | Yoinka