Director - Software Engineering

Location: Bengaluru, India; Mysuru, KA, IND, India

Department: Product

Experience: 15+ Years

Skills: Data Engineering, API Integrations & iPaaS, AI/ML & Generative AI, System Design and Architecture, B2B SaaS Product Development, Technical Leadership, MERN

• Define and execute the engineering strategy aligned with the organization's business and product objectives.
• Establish engineering standards, architectural principles, coding best practices, and software development governance.
• Drive technology modernization and adoption of emerging technologies including AI, Generative AI, cloud-native platforms, and automation.
• Develop long-term technology roadmaps to ensure scalability, maintainability, and security.

• Lead multiple engineering teams responsible for backend, frontend, platform engineering, integrations, and DevOps.
• Ensure successful delivery of high-quality software products within timelines and budget.
• Oversee software architecture, technical design, implementation, testing, deployment, and production support.
• Drive engineering productivity through Agile delivery methodologies and engineering metrics.

• Provide technical leadership for scalable microservices architecture and distributed systems.
• Guide architectural decisions across cloud infrastructure, APIs, data platforms, AI services, and integrations.
• Ensure platform scalability, performance, availability, reliability, and security.
• Lead architecture reviews and technology evaluations.

• Improve engineering processes, SDLC, CI/CD pipelines, release management, and deployment automation.
• Implement DevSecOps best practices.
• Monitor engineering KPIs including
• Velocity
• Quality
• Reliability
• Deployment frequency
• MTTR
• Engineering efficiency
• Ensure operational excellence through observability, monitoring, incident management, and root cause analysis.

• Collaborate with AI/ML teams to integrate intelligent capabilities into the platform.
• Enable scalable data pipelines, APIs, AI agents, RAG architectures, and GenAI applications.
• Promote engineering practices that support analytics, automation, and customer intelligence.

• Partner closely with Product Management to translate business requirements into scalable technical solutions.
• Collaborate with QA, Security, DevOps, Customer Success, Sales Engineering, and Product teams throughout the product lifecycle.
• Support customer escalations requiring engineering leadership.

• Recruit, mentor, coach, and retain world-class engineering talent.
• Build a culture of ownership, innovation, collaboration, accountability, and continuous learning.
• Develop engineering managers and technical leads.
• Drive performance management, succession planning, and career development.

• Strong expertise in designing and developing scalable, secure, cloud-native B2B SaaS applications using modern software engineering principles and best practices.
• Deep understanding of software architecture, including microservices, distributed systems, event-driven architecture, API-first design, and multi-tenant platforms.
• Proficiency in cloud platforms, with hands-on experience in AWS (mandatory); exposure to Azure and GCP is preferred. Strong knowledge of containerization technologies such as Docker, Kubernetes, Amazon EKS, and modern CI/CD pipelines.
• Extensive experience with modern software development technologies and frameworks such as Java, Python, Node.js, React, Angular, TypeScript, and related technologies.
• Strong understanding of AI/ML and Generative AI technologies, including AI Agents, LangChain, LangGraph, RAG architectures, MCP (Model Context Protocol), TensorFlow, PyTorch, Scikit-learn, and LLM integrations.
• Experience with data engineering, including SQL, data warehousing, ETL/ELT, reverse ETL, data modeling, data lakes, and large-scale data processing frameworks.
• Strong knowledge of RESTful APIs, GraphQL, event-driven architectures, Kafka, webhooks, third-party integrations, and modern integration frameworks.
• Experience implementing DevSecOps practices, Infrastructure as Code (Terraform/CloudFormation), automated testing, release management, monitoring, logging, observability, and production support.
• Expertise in Agile software development methodologies, including Scrum, Kanban, Jira, engineering planning, sprint execution, and continuous delivery.
• Strong understanding of software quality engineering, secure coding practices, performance optimization, scalability, reliability engineering, and engineering governance.

• Bachelor's degree in Computer Science, Information Science, Engineering, or a related technical discipline. Master's degree preferred.
• 15+ years of software engineering experience, with at least 8 years leading large engineering teams.
• Proven experience delivering enterprise-scale B2B SaaS products.
• Strong hands-on background in software architecture, cloud platforms, distributed systems, APIs, and modern application development.
• Experience leading engineering organizations of 30+ engineers across multiple functional teams.
• Strong understanding of AI/ML technologies, cloud-native applications, and modern software engineering practices.
• Experience working with global customers across the US, UK, Australia, and MENA markets.
• Demonstrated success in building high-performing engineering organizations.
• Excellent leadership, communication, stakeholder management, and decision-making skills.
• Ability to thrive in a fast-paced, high-growth technology environment.
• Willing to work from Mysuru or Bengaluru.