Surajit Khan

Engineering Manager • AI Transformation Leader • Enterprise Platform Architect

Engineering leader with — of experience driving enterprise software, AI transformation, engineering excellence, organizational strategy, and building high-performing cross-functional engineering organizations.
📞+91 8147002734 ✉️surajitkhan.work@gmail.com 🌐www.surajitkhan.in 💼linkedin.com/in/khansurajit 📍Bangalore, Karnataka, India

Executive Summary

Engineering Manager with over — of experience leading enterprise engineering organizations, delivering strategic digital transformation initiatives, and building AI-powered enterprise platforms. Currently leading a multidisciplinary team of 15 professionals including Software Engineers, QA Engineers, Product Managers, Project Managers and AI Engineers. Experienced in engineering strategy, people leadership, organizational transformation, SDLC modernization, AI-assisted engineering, DevOps, platform engineering, cloud technologies, engineering standardization, operational excellence and enterprise architecture. Proven ability to translate business strategy into engineering execution, mentor future technical leaders, improve engineering productivity, and deliver scalable enterprise platforms with measurable business impact.

Leadership Dashboard

—
Years Experience
15
Cross-functional Team Members
25%
Engineering Productivity Improvement
4+
Enterprise Platforms Delivered
3+
Years Conference Committee
AI
Transformation Leader

Leadership & Executive Competencies

People Leadership

  • Lead multidisciplinary engineering teams comprising Software Engineers, QA Engineers, Product Managers, Project Managers and AI Engineers.
  • Create high-performance engineering culture through coaching, mentoring and continuous feedback.
  • Performance management, career development and succession planning.
  • Hiring, interviewing and onboarding engineering talent.
  • Technical leadership development and mentoring future Engineering Leaders.
  • Cross-team collaboration and conflict resolution.
  • Ownership driven engineering culture.

Organizational Leadership

  • Engineering Strategy & Technology Vision.
  • Quarterly Planning and Roadmap Execution.
  • Portfolio & Program Management.
  • Executive Stakeholder Management.
  • Resource Planning & Capacity Management.
  • Budget Planning & Cost Optimization.
  • Business Alignment & Technology Governance.

Engineering Excellence

  • Enterprise Architecture & Scalable Platform Design.
  • Microservices & Event-Driven Architecture.
  • Engineering Standardization Practices.
  • Secure SDLC & DevSecOps.
  • CI/CD Automation & Release Governance.
  • Observability, Monitoring & Reliability Engineering.
  • Engineering Metrics & Continuous Improvement.

AI & Digital Transformation

  • Enterprise AI Strategy & AI Transformation.
  • AI-assisted SDLC & Developer Productivity.
  • AI Agents & Workflow Automation.
  • Synthetic Data Generation.
  • Translation Quality Estimation.
  • LLM Adoption & Prompt Engineering.
  • Enterprise AI Governance.

Technology Leadership

Programming Languages

Java • Python • Go • Ruby • SQL

Frameworks

Spring Boot • FastAPI • React • Hibernate • REST APIs • GraphQL

Architecture

Microservices • Distributed Systems • Event-Driven Architecture • System Design • REST • Enterprise Integration

Data & Analytics

MySQL • PostgreSQL • Oracle • Redis • MongoDB • Hadoop • Hive • Kafka

Cloud & DevOps

AWS • GCP • Private Cloud • Docker • Kubernetes • Jenkins • GitHub • GitLab • CI/CD

Engineering Practices

Agile • Scrum • DevOps • DevSecOps • Platform Engineering • SDLC Modernization • Standardization Practices • Observability • Engineering Governance

Leadership Impact

  • Lead a 15-member cross-functional engineering organization comprising Software Engineers, QA Engineers, Product Managers, Project Managers and AI Engineers delivering enterprise-scale digital platforms.
  • Drive engineering strategy from ideation through architecture, planning, execution, production deployment and operational excellence.
  • Partner with executive leadership, business stakeholders, architecture teams and operations organizations to align engineering investments with business priorities.
  • Championed AI adoption across engineering workflows by integrating AI-assisted development, synthetic data generation, intelligent automation and AI-powered operational analytics.
  • Improved engineering productivity by 25% through engineering standardization, SDLC modernization, automation and process optimization.
  • Build engineering culture focused on ownership, accountability, innovation, quality and continuous learning while mentoring future technical leaders.

Career Progression

Professional Experience

Engineering Leadership at Rakuten Group

Engineering Manager

Jan 2026 – Present
Current Role

Leadership

  • Lead a 15-member multidisciplinary engineering organization consisting of Software Engineers, QA Engineers, Product Managers, Project Managers and AI Engineers.
  • Own engineering vision, execution strategy and technology roadmap across multiple enterprise platforms.
  • Translate business objectives into scalable engineering initiatives aligned with organizational strategy.
  • Drive quarterly planning, roadmap prioritization, engineering governance and delivery excellence.
  • Partner with senior leadership, architects, product organizations and business stakeholders to define strategic investments.

People Leadership

  • Mentor Technical Leads and Senior Engineers into future engineering leaders.
  • Conduct performance reviews, promotion discussions and career development planning.
  • Lead hiring strategy, technical interviews and onboarding.
  • Build an engineering culture centered on ownership, accountability and continuous improvement.

Engineering Excellence

  • Champion engineering standardization practices across SDLC, architecture, code quality and operational governance.
  • Strengthen DevOps culture through CI/CD automation, release governance and observability.
  • Drive platform reliability, scalability and operational excellence.
  • Establish engineering metrics and continuous improvement initiatives.

AI Transformation

  • Lead AI adoption across enterprise engineering workflows.
  • Promote AI-assisted SDLC, AI Agents and intelligent engineering automation.
  • Expand enterprise AI capabilities through Synthetic Data Generation, AI Observability and intelligent operational analytics.

Associate Engineering Manager

Jun 2023 – Dec 2025

Leadership Responsibilities

  • Managed a high-performing engineering team comprising Software Engineers and QA professionals.
  • Led sprint planning, quarterly planning, release management and engineering execution.
  • Partnered with Product Managers, Architects and Business stakeholders to execute strategic initiatives.
  • Managed engineering capacity planning, prioritization and resource allocation.
  • Mentored engineers through structured career development and technical coaching.

Business Impact

  • Improved engineering productivity by 25% through engineering standardization and process optimization.
  • Reduced operational effort through enterprise automation initiatives.
  • Established engineering best practices improving delivery quality and predictability.
  • Strengthened cross-functional collaboration across Engineering, Product and Operations.

Senior Team Lead

Apr 2023 – Jul 2023
  • Coordinated engineering execution across multiple enterprise initiatives.
  • Guided architecture discussions and technical decision making.
  • Supported engineering managers with roadmap execution.
  • Mentored engineers and technical leads.

Technical Lead

Jan 2020 – Apr 2023
  • Architected scalable enterprise platforms using Java, Spring Boot and distributed microservices.
  • Led engineering design reviews, code quality initiatives and platform modernization.
  • Introduced AI-driven capabilities into enterprise products.
  • Designed enterprise integrations using Kafka, Hadoop and cloud technologies.
  • Mentored engineering teams across backend development, cloud platforms and AI technologies.

Senior Engineer I & Senior Engineer II

Jun 2018 – Dec 2019
  • Developed enterprise backend platforms using Java, Spring Boot, MySQL and distributed architecture.
  • Designed scalable REST APIs and enterprise integration services.
  • Improved platform performance, reliability and maintainability.
  • Collaborated closely with Product, QA and Operations teams to deliver enterprise solutions.

Previous Professional Experience

Career Highlights

Engineering Leadership

  • — of software engineering and leadership experience.
  • Progressed from Software Engineer to Engineering Manager through six promotions.
  • Leading a multidisciplinary engineering organization of 15 professionals.
  • Mentoring engineers, technical leads and future engineering managers.
  • Driving organizational engineering excellence and delivery governance.

Business Impact

  • Improved engineering productivity by 25%.
  • Delivered multiple enterprise digital transformation platforms.
  • Introduced AI-powered engineering initiatives across enterprise products.
  • Led engineering standardization initiatives improving delivery quality.
  • Successfully executed cross-functional strategic programs.

Strategic Enterprise Initiatives

Led planning, architecture, execution and engineering governance for enterprise platforms supporting AI transformation, operational excellence and digital modernization across Rakuten.

License Management Platform

Enterprise Platform • AI Powered • Internal Product

Designed and led the development of an enterprise software license management platform that centralized license governance across business units while optimizing software utilization and compliance.

Leadership & Business Impact

  • Defined product vision, engineering roadmap and architecture.
  • Partnered with stakeholders to standardize enterprise software governance.
  • Improved software utilization through AI-assisted recommendations.
  • Reduced manual operational effort using workflow automation.
  • Built scalable microservices supporting enterprise growth.
Technology

Java • Spring Boot • Python • Hadoop • MySQL • AI/ML • Private Cloud

Digital Employee Management Platform

Enterprise Automation Platform

Enterprise platform integrating employee onboarding, offboarding, access provisioning, software licenses, organizational workflows and operational processes.

Business Outcomes

  • Automated enterprise employee lifecycle.
  • Reduced manual operational activities.
  • Centralized multiple business workflows.
  • Improved operational visibility.
  • Supported organization-wide digital transformation initiatives.
Technology

Java • Python • React • MySQL • REST APIs • Private Cloud

Synthetic Data Generator

Artificial Intelligence Platform

Designed architecture for an enterprise AI platform capable of generating realistic synthetic datasets to accelerate software testing, AI model validation and privacy-preserving development.

AI Transformation

  • Enabled secure testing without exposing production data.
  • Improved AI model validation.
  • Accelerated engineering productivity.
  • Promoted responsible AI adoption.
  • Reduced dependency on sensitive production datasets.
Technology

GAN • FastAPI • Python • Streamlit • AI/ML • Private Cloud

Standardized Operations Analytics

Enterprise Observability Platform

Enterprise analytics platform centralizing operational logs, metrics and engineering insights to improve reliability, incident response and operational decision making.

Engineering Excellence

  • Centralized enterprise operational analytics.
  • Introduced AI-assisted observability.
  • Improved incident detection.
  • Enhanced platform reliability.
  • Strengthened engineering operations.
Technology

Kafka • Hadoop • Java • React • AI Analytics • Private Cloud

AI Leadership & Engineering Transformation

  • Driving AI transformation initiatives across enterprise engineering organizations.
  • Leading adoption of AI-assisted Software Development Lifecycle (SDLC).
  • Building engineering capabilities around AI Agents, intelligent automation and enterprise AI.
  • Driving engineering productivity through Generative AI and developer tooling.
  • Promoting engineering standardization, reusable platform components and automation-first culture.
  • Leveraging AI for observability, software governance and enterprise operational excellence.
  • Aligning AI investments with long-term business strategy and engineering roadmaps.

Education

Master of Science (Artificial Intelligence & Machine Learning)

Liverpool John Moores University • 2023

Post Graduate Diploma (Artificial Intelligence & Machine Learning)

International Institute of Information Technology Bangalore • 2022

Bachelor of Technology (Information Technology)

Calcutta Institute of Engineering & Management • 2011

Professional Certifications

  • TOGAF® 10 Trained
  • Rakuten Certified Interviewer
  • 21st Century Japanese Management — Indian Institute of Management Bangalore

Community Leadership

  • Core Committee Member for Rakuten Technology Conference for over three years.
  • Core Committee Member for Rakathon, leading planning and successful execution.
  • Mentor for engineers in AI, Cloud, Platform Engineering and Engineering Leadership.
  • Regular speaker on AI, Engineering Management and Enterprise Architecture.
  • Active contributor to engineering capability development, knowledge sharing and technical communities.
Surajit Khan
Engineering Manager • AI Transformation Leader • Enterprise Platform Architect