Director, Senior Engineering – .Net, AI/ML

S&P Global

Director of Software & AI/ML Engineering leading enterprise software applications at S&P Global. Focus on SaaS-based solutions and microservice architectures in capital markets.

Posted 7/13/2026full-timeHyderabad • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and executing technical roadmaps for SaaS-based applications, with a strong focus on microservice architectures and AI/ML integration. Proven leadership in mentoring engineering teams and delivering secure, scalable, and compliant software solutions in the capital markets domain.

Highest-signal resume keywords

SaaS Application DevelopmentMicroservice ArchitectureAWS Application DevelopmentAI/ML IntegrationTeam Leadership

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Hard Skills

C#AngularSQLPythonFastAPIFlaskML AlgorithmsDeep LearningNLP TechniquesDevOps Practices

Soft Skills

Exceptional CommunicationMentoringCollaborationInnovation

Tools & Technologies

AWS EC2AWS LambdaAWS RDSDockerTerraformAWS CDKSageMakerBedrockLangChainLlama Index

Industry Keywords

Capital MarketsFintechEnterprise SoftwareRegulatory StandardsTraceability

Tech Stack

Tools & technologies

AngularAWSDockerEC2FlaskPythonSQLTerraform

About the role

Key responsibilities & impact

Define and execute the technical roadmap for SaaS-based enterprise software applications.
Led the end-to-end software development lifecycle— from requirements gathering and system design to deployment and maintenance.
Architect and deploy scalable, secure, and high-performance applications on AWS.
Drive the adoption of microservice-based architectures to ensure modularity, scalability, and maintainability.
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.

Requirements

What you’ll need

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.
Expertise in C#, Angular, SQL, and the broader Microsoft technology stack.
Deep knowledge of microservice-based architectures, including design, implementation, and orchestration.
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.
Familiarity with AWS AI/ML services like SageMaker and Bedrock for model training and deployment.
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.
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.

Benefits

Comp & perks

Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families.
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.