Job Description:

Lead Full Stack Engineer / Principal Software Engineer
(SaaS, Data, Cloud & Secure Platforms)

Role Summary

We are seeking a highly experienced and hands-on Lead Full Stack Engineer (L40) to lead the design, development, and delivery of enterprise-grade technology solutions. This is a strategic, client-facing leadership role with ownership of architecture, engineering direction, and end-to-end delivery across application, cloud, and data platforms.

The role requires a strong blend of technical depth and leadership capability, acting as a leader among developers, mentoring teams, driving best practices, and ensuring the creation of scalable, secure, and high-performance systems.

Core Responsibilities

Full Stack Software Engineering

• Design, develop, and maintain enterprise-grade web applications
• Build scalable front-end solutions using React and TypeScript
• Develop back-end services and APIs using Node.js and Python
• Architect end-to-end workflows across distributed systems
• Troubleshoot and resolve complex production issues across the stack
• Define coding standards, design patterns, and scalability frameworks
• Mentor and guide engineering teams to ensure high-quality delivery

API & Integration Architecture

• Design and architect scalable REST APIs
• Lead integration strategy across third-party platforms and SaaS systems
• Define and implement secure authentication frameworks (OAuth, SSO, JWT)
• Own API lifecycle management including versioning, governance, and standards
• Establish reusable and secure API design principles

Azure Cloud Architecture & Governance

• Act as Azure Super Administrator across environments
• Design and govern Azure cloud infrastructure and architecture
• Oversee App Registrations and Enterprise Application strategy
• Lead Entra ID (Azure AD), SSO integration, RBAC design, and identity governance
• Enforce cloud security best practices and compliance frameworks
• Drive performance, reliability, and cost optimization strategies

Data & Platform Architecture

• Define enterprise-level data platform and pipeline architecture
• Oversee ingestion frameworks and system integration patterns
• Guide data modeling and database design for SaaS platforms
• Partner with data teams to ensure scalable and governed data ecosystems

Database Engineering

• Architect and standardize relational database schemas
• Oversee query performance optimization and scalability strategies
• Govern usage of PostgreSQL, SQL Server, and related technologies
• Establish data quality, integrity, and governance practices

AI Solutions Engineering (Strategic Oversight)

• Drive adoption of AI-powered capabilities across products
• Define and lead LLM integration strategy within applications
• Establish architectural patterns for AI-enabled workflows
• Guide engineering teams on delivering AI-enhanced SaaS features

DevOps & CI/CD Governance

• Define source control standards and branching strategies
• Architect and oversee CI/CD pipelines and release processes
• Drive automation and reliability in deployment workflows
• Oversee environment management across Dev, QA, and Production

Security & Governance

• Architect secure application and API ecosystems
• Oversee authentication, authorization, and access control frameworks
• Enforce enterprise-wide security standards and compliance controls
• Lead security reviews, risk mitigation, and audit alignment

Enterprise Security & Identity Governance

• Azure Subscription Owner
• Enterprise Application Owner
• Azure App Registration Owner
• SSO & OAuth2 Architecture
• Identity Governance and RBAC Design
• Access Management Strategy and API Security Architecture
• Secret Management and Security Governance
• Vendor Security Assessments and Risk Management
• Production Access and Infrastructure Governance
• Final authority for security reviews and approvals

Platform Governance (Retool)

• Own governance and architecture of Retool platform usage
• Define application design standards and integration frameworks
• Establish access control, environment strategy, and platform governance

Leadership & Client Engagement

• Act as a technical leader and escalation point across teams
• Engage directly with clients and stakeholders to shape solutions
• Lead architecture discussions, design reviews, and technical strategy
• Mentor and develop engineers across multiple teams
• Drive cross-functional collaboration and engineering excellence
• Contribute to long-term technology roadmap and innovation strategy

Required Qualifications (Must Have)

• 5+ years of experience in cloud architecture (Azure preferred)
• 5+ years of experience in API design and integrations
• 5+ years of experience in data engineering and platform design
• Proven experience building enterprise SaaS applications end-to-end
• Strong expertise in React, TypeScript, Node.js, and Python
• Experience designing scalable APIs and distributed systems
• Strong knowledge of OAuth2, SSO, JWT authentication frameworks
• Hands-on experience with Azure services (Entra ID, RBAC, App Registrations)
• Advanced SQL and database design expertise
• Proven ability to troubleshoot complex production systems
• Strong understanding of security, governance, and compliance frameworks

Preferred / Good to Have

• Experience with AI/LLM integrations and prompt engineering
• Familiarity with Retool platform development
• Azure subscription ownership or admin-level experience
• Experience with cloud monitoring and cost optimization
• Exposure to advanced identity governance and enterprise security models

Preferred Media Domain Experience

• Programmatic advertising systems (DSP, SSP)
• Personalization and recommendation platforms
• Identity resolution and post-cookie ecosystem
• Marketing analytics, attribution, and campaign optimization systems
• Ad-tech ecosystem – digital advertising platforms, targeting, campaign optimization, and performance measurement

Location:

DGS India - Bengaluru - Manyata N1 Block

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent