Technical Manager

About IRIS:

IRIS RegTech Solutions Limited (formerly IRIS Business Services Limited) is India’s only listed RegTech SaaS provider,

pioneering technology-driven regulatory and supervisory compliance solutions worldwide. Headquartered in Mumbai

with subsidiaries across the U.S., Singapore, Malaysia, and Italy, IRIS serves over 30 regulators and 6,500 enterprises

in 55 countries. The company is an active member of XBRL jurisdictions, including XBRL International, XBRL India,

XBRL Europe, XBRL South Africa, and XBRL US. Recognized globally for its award-winning SupTech, RegTech, and

DataTech platforms - including IRIS iFile, IRIS iDEAL®, IRIS CARBON®, and IRIS MSME - IRIS helps banking and

financial sector regulators digitize supervision and enterprises and achieve seamless financial and ESG reporting.

IRIS’ products are XII certified, ISO 27001:13 and SSAE 18 (SOC 1 Type 2) certified, ensuring industry leading security

and reliability. Combined with deep expertise in XBRL, AI, and ML, IRIS delivers robust, high-quality regulatory data

infrastructure that enhances transparency, strengthens governance, and supports sustainable growth across the

financial ecosystem.

To about IRIS, visit our website: www.irisregtech.com

Job Title: Technical Manager

Location: Vashi, Navi Mumbai

Experience: 10-15 Years

Role Summary

We are seeking a seasoned Technical Manager to own the end-to-end architectural vision for the iFile platform. This role

is critical in ensuring a clear separation between core product development and project delivery, while driving scalability,

consistency, and long-term product sustainability.

A defining requirement of this role is an AI-first architectural mindset - the ability to design systems, workflows, and

development pipelines that embed artificial intelligence and automation as foundational elements, not afterthoughts.

The ideal candidate is equally comfortable shaping product strategy and getting hands-on with code, design reviews, and

AI-assisted development tooling.

Key Responsibilities

1. Architecture & Platform Design

Architect a scalable, modular, and extensible platform to support evolving regulatory use cases across

multiple markets

Define architectural standards, design patterns, and best practices across the iFile platform

Establish and enforce product governance including change control, versioning, and prevention of

customisation creep

Translate business needs into a cohesive product strategy and technical design framework

Evaluate and incorporate emerging technologies - with a particular focus on AI/ML capabilities - to

enhance platform performance and intelligence

2. AI-First Design & Development

Lead the architectural design of the platform with an AI-first approach - ensuring AI and ML are embedded at

the core of data processing, compliance automation, anomaly detection, and regulatory intelligence

Define and implement AI-assisted development workflows: leveraging tools such as GitHub Copilot, Cursor,

Amazon CodeWhisperer, or equivalent AI coding assistants to accelerate engineering velocity and improve

code quality

Establish standards for the use of AI tools across the development lifecycle - from requirements analysis

and design through to code generation, testing, and deployment

Drive adoption of AI-powered testing, automated code review, and intelligent CI/CD pipelines within the

engineering team

Identify use cases within the iFile platform where LLM-based capabilities (e.g., natural language querying of

compliance data, AI-assisted report generation, intelligent validation) can deliver measurable business value

Stay current with the rapidly evolving AI tooling landscape and provide technical leadership in evaluating and

adopting new capabilities responsibly

3. Product Strategy & Governance

Define and drive the product roadmap in alignment with business priorities and regulatory requirements

Partner with engineering, delivery, and business teams to ensure consistent execution and adherence to

product principles

Establish architectural guardrails to maintain platform integrity across all customer implementations

Reduce dependency on project-level customisations by strengthening core product configurability

Build, mentor, and scale product and engineering teams as the platform grows

4. Delivery & Cross-functional Collaboration

Work closely with product managers, implementation leads, and customer-facing teams to align architecture

with real-world delivery requirements

Perform code and architecture reviews to ensure quality, consistency, and adherence to defined standards

Support pre-sales and solutioning activities - contributing to RFPs, client presentations, and technical due

diligence

Flexibility and willingness to travel domestically and internationally as required to support business and

project needs

Key Skills & Experience

Technical Expertise

10–15 years of experience spanning Solution Architecture and Product / Technology leadership, bridging

business and engineering domains

Demonstrates strong capability in efficiently processing large datasets across multiple formats (Excel, CSV,

XML, JSON) using programming languages.

Possesses a solid understanding of multi-tenant architecture and its implementation considerations.

Has a strong foundation in relational database design, including normalization principles.

Exhibits in-depth knowledge of building and optimizing multi-threaded and multi-processing applications.

Expertise in API-first design, microservices architecture, and cloud-native platforms (AWS / Azure / GCP)

Strong proficiency in Java, Python, Node.js, and Angular; solid understanding of modern software engineering

practices

Solid understanding of data architecture, reporting frameworks, and compliance-driven systems

Hands-on experience with CI/CD pipelines, DevOps practices, and infrastructure-as-code

Solid understanding of IT infrastructure with experience deploying applications across on-premises and

cloud environments AI & Emerging Technologies

Demonstrated experience designing systems with an AI-first approach - integrating ML models, LLMs, or

intelligent automation into production platforms

Hands-on familiarity with AI-assisted development and deployment tools (e.g., GitHub Copilot, Cursor,

Amazon CodeWhisperer, Tabnine, or similar)

Exposure to MLOps practices: model versioning, deployment pipelines, monitoring, and governance of AI

models in production

Working knowledge of prompt engineering, RAG (Retrieval-Augmented Generation) architectures, or fine

tuning approaches for domain-specific compliance use cases is a strong advantage

Experience evaluating and integrating third-party AI/ML services (OpenAI, Azure OpenAI, AWS Bedrock, or

equivalent)

Domain & Soft Skills

Experience in RegTech, SupTech, or financial regulatory / reporting platforms is highly preferred

Experience in defining governance frameworks, architectural guardrails, and product standards

Excellent problem-solving, communication, and decision-making capabilities in complex, multi-stakeholder

environments

Minimum one architecture-level certification (Java, Cloud, TOGAF, or equivalent)

Expected Outcomes

A well-governed product lifecycle with clear ownership, decision-making frameworks, and AI-embedded

engineering standards

A scalable, robust, and consistent platform architecture across all iFile implementations

Measurable improvement in engineering velocity through AI-assisted development tooling and automated

workflows

Reduced dependency on project-level customisations, preserving core product integrity

Improved alignment between business goals, product evolution, and technical execution

A future-ready platform with AI capabilities that deliver tangible value to regulators and enterprises

Education Qualifications

B.Tech / M.Tech / MCA from reputed institute