Mohamed Sirajudeen

• Designed and implemented Single Sign-On (SSO) solutions integrating legacy airline systems with micro-frontend platforms,
utilizing token-based authentication, JWT, and secure routing.
• Configured Envoy proxy for dynamic request routing, session validation, and secure inter-service communication across
distributed microservices architectures.
• Led Kubernetes migration of legacy OTA/web services, designing a hybrid session management architecture using Redis and
in-memory storage to ensure high availability and scalability.
• Architected Passenger Reconciliation List (PRL) processing with message-driven/event-driven architecture, achieving high
throughput, data consistency, and reliability for critical airline operations.
• Developed AI-powered WhatsApp chatbot for flight search and booking, enabling 24/7 self-service and reducing call center
workload.
• Implemented AI-based customer support chatbot handling booking queries, cancellations, baggage information, improving
customer experience and operational efficiency.
• Applied Site Reliability Engineering (SRE) practices, leveraging AI-assisted log analysis, monitoring, and alerting to improve
incident detection, response times, and reduce Mean Time to Resolution (MTTR).

• Designed and delivered Single Sign-On (SSO) integration between legacy airline systems and micro-frontend platforms using
JWT-based token authentication and Envoy proxy for secure, dynamic request routing - eliminating authentication fragmentation
across 5+ services.
• Led Kubernetes migration of legacy OTA and web services by architecting a hybrid session management solution using Redis
distributed cache and in-memory storage, achieving zero downtime during cutover.
• Architected message-driven Passenger Reconciliation List (PRL) processing system using Apache Kafka, ensuring high-throughput
data consistency for real-time passenger operations.
• Implemented WhatsApp-based AI chatbot for 24/7 flight search and booking self-service, reducing call center ticket volume and
improving customer response time significantly.
• Deployed AI-powered customer support chatbot handling booking queries, cancellations, and baggage inquiries, integrated with
backend reservation microservices.
• Applied SRE best practices with AI-assisted log analysis to proactively detect anomalies, improving incident detection speed and
reducing Mean Time to Resolution (MTTR) by 30%.
• Drove architectural reviews, defined coding standards, and mentored a team of 6+ engineers across backend and integration
workstreams.

• Architected and delivered high-availability flight search and pricing microservices supporting 20, 000+ concurrent users with 99.9%
uptime, using Spring Boot, gRPC, and Redis distributed fare cache.
• Built an event-driven real-time data pipeline using Debezium CDC and Apache Kafka to stream PostgreSQL WAL events for near
real-time indexing into Elasticsearch, replacing batch processing and cutting data latency from hours to seconds.
• Identified and resolved a critical production concurrency defect caused by improper ThreadLocal usage in gRPC context propagation;
redesigned to request-scoped propagation, eliminating data inconsistency in the booking flow.
• Designed and implemented a rules engine for dynamic fare, tax, and surcharge calculation across multi-carrier airline systems,
reducing pricing errors and improving calculation throughput.
• Designed ETL pipelines using Pentaho for migration of legacy reservation data to PostgreSQL, ensuring data integrity across millions
of records.
• Managed Kubernetes deployments and optimized Jenkins CI/CD pipelines, improving release frequency and reducing deployment
risk through automated testing and rollback strategies.
• Led end-to-end development of an insurance claims processing system using Java, Spring Framework, and Oracle DB, serving as the
primary technical decision-maker for the engagement.
• Optimized Spring Batch processing jobs, reducing batch execution time by 40% through partitioned processing and query tuning.
• Managed and mentored an offshore team of 7 engineers, conducting regular code reviews and enforcing quality standards.
• Implemented CI/CD pipelines and automated monitoring, reducing manual deployment effort and improving production visibility.

Architected and delivered a high-availability flight and price search microservice using Spring Boot, gRPC, and Elasticsearch, supporting 20, 000+ concurrent users with 99.9% uptime, ensuring reliable and scalable travel search functionality.
Implemented a Debezium Kafka Connect CDC pipeline to stream PostgreSQL WAL events into Kafka, enabling downstream batch processing to index data into Elasticsearch, replacing a slow polling mechanism and improving data freshness.
Designed and executed an ETL pipeline using Pentaho to migrate and transform legacy reservation data into PostgreSQL, ensuring data integrity, eliminating manual entry, and achieving a seamless migration.
Developed a segment rule-matching engine in Java for fare, tax, and surcharge rules across Air Arabia Group airlines, automating pricing rules, reducing manual errors, and enhancing operational efficiency.
Provisioned and managed cloud infrastructure on Oracle Cloud, maintained Kubernetes cluster deployments, and optimized Jenkins CI/CD pipelines, streamlining release management and minimizing deployment failures.

• Architected high-availability flight search and pricing microservices supporting 20, 000+ concurrent users with 99.9% uptime,
ensuring scalability, reliability, and performance for mission-critical airline operations.
• Built event-driven data pipelines using Debezium CDC and Apache Kafka to stream PostgreSQL WAL events for near
real-time indexing into Elasticsearch, enabling low-latency search and analytics.
• Designed and implemented ETL pipelines using Pentaho for migration of legacy reservation systems to PostgreSQL, ensuring
data consistency, accuracy, and operational continuity.
• Developed fare, tax, and surcharge rule engine for multi-carrier airline systems, automating pricing, calculation logic, and
validation across diverse airline operations.
• Managed Kubernetes deployments and optimized CI/CD pipelines using Jenkins, improving release efficiency, automation,
and system reliability for production services.

• Led full lifecycle development of an insurance compensation application using Java, Spring Framework, and MySQL in Eclipse IDE, delivering the system on schedule and accelerating claim processing for the business.
• Authored high-level and low-level technical specifications from functional requirements, providing precise guidance that minimized rework and streamlined the development process.
• Optimized batch processing workflows, reducing execution time by 40% through SQL tuning and processing logic improvements, enhancing system performance and throughput.
• Planned, estimated, and tracked delivery for offshore teams of 7 engineers using JIRA, ensuring project milestones were met on time and within budget.
• Automated server health checks and feed-file monitoring, eliminating manual interventions and improving system reliability.
• Implemented CI/CD pipelines using Jenkins, scripting automated builds and unit tests for Java/J2EE applications, enabling continuous integration, reducing release cycles, and improving deployment efficiency.

• Provided Level 2 and Level 3 production support for mission-critical airline systems including ESB and Type-B messaging platforms,
maintaining 100% SLA compliance throughout engagement.
• Led root cause analysis for high-severity incidents, using SQL-based diagnostics and monitoring tools to resolve issues within agreed
SLA windows.
• Managed third-party system integrations with airline reservation, baggage, and departure control systems, ensuring stable data
exchange across platforms.

• Provided Level 2/3 production support for airline reservation and operational systems, including ESB, messaging platforms,
and distributed microservices.
• Reduced incident resolution time by leveraging monitoring tools, SQL diagnostics, and proactive troubleshooting, improving
system uptime and operational reliability.
• Managed integrations with third-party airline systems, including reservation, baggage handling, and operational services,
ensuring data consistency and seamless interoperability.
• Ensured 100% SLA compliance for Type-B messaging systems, maintaining high availability and mission-critical operational
standards.

• Developed enterprise applications using Java, EJB, and SOA architecture for cargo and logistics modules, improving system
throughput and reliability.
• Performed code reviews for a team of 10 engineers, enforcing best practices and development standards.
• Supported production deployments and ensured high system availability across multiple release cycles.

• Developed enterprise applications using Java, EJB, and Service-Oriented Architecture (SOA), delivering scalable and
maintainable business solutions.
• Built cargo and logistics modules, improving system throughput, reliability, and operational efficiency for airline and logistics
operations.
• Performed code reviews and enforced development standards for a team of 10 engineers, ensuring high-quality code and
adherence to best practices.
• Supported production deployments and maintained high system availability, stability, and operational continuity.