Skip to main content
Back to jobs

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

External
spgi logoSpgi · Hyderabad, India
Full-timeOn-site2d ago
AgileAngularAPI GatewayAWSCI/CDCloudFormation
Cover LetterConnect

Prepare for this interview

Elite

AI-generated questions, company research, and talking points tailored to this role


About the role

Grade Level (for internal use): 13 Job Description: 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.

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.

Requirements

  • 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.
  • Exceptional communication skills to present technical and AI/ML concepts to non-technical stakeholders, including compliance, product, and client-facing teams.
  • Passion for building secure, scalable, and compliant systems with a focus on performance, traceability, and fairness.
  • Agile mindset with experience thriving in fast-paced, regulated environments.
  • About S&P Global Market Intelligence
  • For more information, visit www.spglobal.com/marketintelligence .
  • What's In It For You?
  • Our Mission:
  • Advancing Essential Intelligence.
  • Our People:
  • We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can hel

Benefits

Vision insurance

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at spgi? Share your experience

Interested in this role?

Apply on the company's website.

Cover LetterConnect