Director, Senior Engineering (.Net Full Stack + AI/ML) (Bengaluru)

Su0026P Global Market Intelligence; Bengaluru; On-site; INR 4,000,000 - 10,000,000; Full time

Job summary

Su0026P Global Market Intelligence seeks a Director of Software application development & AI/ML Engineering to lead enterprise software in capital markets. You will shape the strategy for SaaS platforms, guide microservice architectures on AWS, and drive AI/ML capabilities for intelligent document processing and risk modeling.

You will manage a high-performing team, ensure security and regulatory compliance, and partner with Product, Data Engineering, and Client teams to deliver scalable,

Qualifications

• 15+ years in software development with 5+ years in leadership.
• Proven SaaS delivery experience in capital markets/fintech.
• Expertise with C#, .NET, Angular and SQL Server.
• Deep knowledge of microservice architectures and cloud-native design.
• Experience integrating AI/ML, including LLMs and RAG pipelines.

Responsibilities

• Define the technical roadmap for SaaS apps using microservices and AWS.
• Lead end-to-end SDLC from requirements to deployment and maintenance.
• Architect scalable, secure applications on AWS with multi-tenancy.
• Drive AI/ML integration in products, focusing on automation and compliance.
• Mentor engineering teams and align solutions with business needs.
• Ensure regulatory compliance and traceability across systems.

Skills

Strategic leadership

Software architecture

AWS cloud

Microservices

C#/.NET

Angular

Python (AI/ML)

AI/ML deployment

DevOps (CI/CD)

Regulatory compliance

Leadership & mentoring

Security & data governance

Communication with stakeholders

Education

Bachelor's or Master's in CS/Software Engineering

Tools

AWS (EC2, ECS, Lambda, RDS)

Docker

Terraform

AWS CDK

Kubernetes / container orchestration

LangChain / LlamaIndex

FAISS / Pinecone / OpenSearch

SageMaker / Bedrock

FastAPI / Flask

API design

Job description

Role & responsibilities

Role: Director Software & AI/ML Engineering

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: Bachelors or masters 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.
• Solid 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. .