Associate Director, Software Engineer (.Net Lead Developer)

S&P Global; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

S&P Global is seeking an Associate Director of Software Application Development & AI/ML Engineering in Hyderabad to lead scalable, secure enterprise software for capital markets. You will translate strategy into actionable delivery plans, manage teams, and drive AI/ML-enabled capabilities across SaaS back-ends and front-ends.

The role requires strong technical depth, practical AI/ML knowledge, and ability to guide teams through regulated engineering delivery while aligning with product and

Qualifications

• 12+ years of software development experience with enterprise apps.
• Experience delivering SaaS using microservices and cloud platforms.
• Capital markets/fintech or financial services exposure preferred.

Responsibilities

• Drive execution of the technical roadmap for enterprise software.
• Lead day-to-day engineering delivery across SDLC and deployment.
• Mentor engineers and drive ownership, quality, and delivery.

Education

Bachelor's or Master's in Computer Science, Software Engineering, Information Technology

Tools

C#

.NET

Angular

SQL Server

AWS

Kubernetes

CI/CD

DevOps

AI/ML

Job description

About the Role:Grade Level (for internal use): 12Role Summary

We are seeking a hands-on and delivery-focused Associate Director of Software Application Development & AI/ML Engineering to lead the execution of scalable, secure, and high-performance enterprise software applications for the capital markets domain. This role will focus on translating technology strategy into actionable delivery plans, managing engineering teams, and ensuring successful implementation of SaaS-based solutions, microservice architectures, and AI/ML-enabled capabilities.

The Associate Director will work closely with senior technology leaders, Product, Data Engineering, and client-facing teams to deliver innovative software solutions that support automation, intelligence, compliance, and operational efficiency across critical financial workflows. This role requires strong technical depth, practical AI/ML knowledge, and the ability to guide teams through complex engineering delivery in a regulated environment.

Key Responsibilities

• Drive execution of the technical roadmap for enterprise software applications, ensuring alignment with broader technology strategy, business priorities, and client needs.
• Lead day-to-day engineering delivery across the software development lifecycle, including requirements analysis, technical design, development, testing, deployment, monitoring, and maintenance.
• Manage and guide engineering teams working with C#, .NET, Angular, SQL Server, and related Microsoft or open-source technologies to build robust back-end services and responsive front-end applications.
• Support the design and implementation of scalable microservice-based architectures that improve modularity, reliability, maintainability, and performance of enterprise SaaS applications.
• Oversee AWS-native application development and deployment, using services such as EC2, ECS, Lambda, RDS, API Gateway, CloudFormation, and related cloud-native capabilities.
• Ensure effective implementation of DevOps and engineering best practices, including CI/CD pipelines, automated testing, code quality standards, containerization, infrastructure-as-code, monitoring, and release management.
• Lead practical AI/ML integration into enterprise applications, with focus areas such as intelligent document processing, market analysis, risk modeling, workflow automation, and decision support.
• Coordinate the development and deployment of Generative AI and LLM-based solutions, including Retrieval-Augmented Generation, or RAG, pipelines, vector search, prompt workflows, and model integration patterns.
• Partner with Product Managers, Data Engineering, Architecture, Compliance, and Client teams to convert business requirements into secure, scalable, and maintainable technical solutions.
• Mentor, coach, and develop software engineers and technical leads, fostering a culture of ownership, collaboration, quality, innovation, and continuous improvement.
• Ensure applications and AI systems meet security, compliance, auditability, and traceability requirements applicable to the capital markets and financial technology domain.
• Track delivery progress, manage risks, resolve technical blockers, and communicate status clearly to senior leadership and cross-functional stakeholders.

Required Qualifications

Education

Bachelors or masters degree in Computer Science, Software Engineering, Information Technology, or a related field.

Experience

• 12+ years of software development experience, 35 years of experience as a Lead Software Engineer with a strong track record in AI/ML development and implementation.
• Demonstrated experience delivering enterprise-grade SaaS applications using microservice-based architectures.
• Experience working in capital markets, fintech, financial services, or enterprise software environments is preferred.
• Proven ability to manage engineering execution across multiple workstreams while maintaining quality, security, scalability, and delivery commitments.

Technical Skills

• Strong hands-on experience with C#, .NET, Angular, SQL Server, and the broader Microsoft technology stack for building scalable back-end systems and dynamic front-end applications.
• Solid understanding of microservice-based architecture, including service design, API development, distributed systems, resiliency patterns, and orchestration using platforms such as Kubernetes or AWS ECS.
• Experience developing SaaS applications, including exposure to scalability, availability, performance optimization, tenant isolation, and multi-tenancy concepts.
• Practical experience with AWS-nati .