About
Principal Engineer with over 10 years of expertise in designing and implementing large-scale distributed systems, Ejas Khan excels in developing streaming pipelines handling 1M+ events/sec and APIs serving 100K+ requests/sec across AWS and Azure. He is a recognized leader in building high-throughput backend services and platform infrastructure, notably creating reusable frameworks adopted by 20+ global engineering teams, which reduced infrastructure costs by 25% and debugging time by 80%.
Work
Mercedes-Benz Research & Development
|Principal Engineer, Distributed Systems & Platform Engineering
Bengaluru, Karnataka, India
→
Summary
Led distributed systems and platform engineering, driving large-scale data processing, API development, and infrastructure automation across multi-cloud environments for Mercedes-Benz.
Highlights
Architected and implemented fault-tolerant vehicle data pipelines, processing over 1M events/sec, and packaged reusable Flink frameworks adopted by 20+ global engineering teams.
Designed and deployed resilient multi-cloud event-driven architectures across AWS and Azure, ensuring scalable and reliable vehicle data distribution for analytics and integration.
Developed high-throughput, low-latency APIs for vehicle data ingestion and consumer-facing data-serving layers, consistently handling over 100K requests/sec under peak load.
Engineered scalable container platforms using Kubernetes (EKS/AKS) for Java/Golang microservices and Kafka workloads, automating provisioning and reducing deployment time by 90%.
Designed and implemented distributed storage solutions (DynamoDB, RocksDB, S3/ADLS) supporting over 200K strongly consistent reads and writes at production scale for low-latency metadata access and durable event storage.
Spearheaded an end-to-end multi-cloud migration from Azure to AWS, standardizing infrastructure patterns and achieving a 25% reduction in infrastructure costs.
Implemented comprehensive end-to-end distributed tracing and log aggregation using OpenTelemetry and Datadog, cutting streaming pipeline debugging time by 80%.
Developed and managed CI/CD pipelines for containerized Java, Golang, Flink, and Kafka workloads across AWS/Azure, automating provisioning for 200+ topics/event streams and enabling self-service for 100+ engineering teams.
Developed AI-assisted diagnostic systems, integrating with Datadog and Azure Data Explorer, to reduce production investigation time by 40%.
Manhattan Associates
|Senior Software Engineer, Warehouse Management Systems
Bengaluru, Karnataka, India
→
Summary
Designed and shipped robust microservices for warehouse management and supply-chain workflows, powering enterprise order fulfilment and inventory operations across large-scale retail clients.
Highlights
Designed and deployed robust microservices for warehouse management and supply-chain workflows, enhancing enterprise order fulfillment and inventory operations for large-scale retail clients.
Optimized complex transactional workflows, improving query reliability and throughput for high-volume warehouse operations and designed REST APIs for WMS integrations.
Automated CI/CD pipelines, reducing release cycles by 80%, and built Prometheus/Grafana dashboards for real-time performance monitoring of containerized services.
Tata Consultancy Services
|Software Engineer, TCS BaNCS Banking Suite
Bengaluru, Karnataka, India
→
Summary
Developed core banking modules, improving transaction throughput and optimizing batch processing for high-volume international banking workflows.
Highlights
Developed core banking modules, enhancing transaction throughput by 25% across high-volume international banking workflows.
Optimized complex queries, stored procedures, and batch-processing pipelines for high-volume transaction processing and regulatory reporting.
Education
Annamalai University
→
Master of Computer Applications
Computer Applications
Government Engineering College, Kerala
→
B.E.
Computer Science
Awards
Speaker
Awarded By
Flink Forward Europe
Recognized as a speaker for Apache Flink platform engineering and observability.
Gold Award
Awarded By
Mercedes-Benz
Recognized for contributions to cloud scalability and platform performance.
Silver Award
Awarded By
Mercedes-Benz
Recognized for excellence in Azure-to-AWS migration.
Spirit Award
Awarded By
Manhattan Associates
Recognized for ownership and engineering contribution.
Best Performer
Awarded By
Tata Consultancy Services
Recognized for excellence in banking technology delivery.
Skills
Programming Languages
Java, Golang.
Distributed Systems & Streaming
Apache Flink, Kafka, Amazon MSK, Amazon Kinesis, Azure Event Hub, gRPC, REST APIs, Distributed Storage, State Management, DynamoDB, RocksDB, Amazon S3, ADLS, OpenTelemetry, Fluent Bit, Datadog, Prometheus, RAG, LangChain, MCP Servers, OpenSearch, PostgreSQL, Oracle SQL, Batch Processing.
Cloud Platforms
AWS, Azure.
Containerization & Orchestration
Kubernetes, EKS, AKS, Docker, Terraform, Helm, Karpenter.
CI/CD & Automation
GitLab CI/CD, Platform Automation, AWS Lambda, Azure Functions.
Methodologies
Microservices, Event-Driven Architecture.
Databases
PostgreSQL, Oracle Database, DynamoDB, RocksDB.
Monitoring & Observability
Datadog, Prometheus, Grafana, CloudWatch, Azure Data Explorer, OpenSearch.
Domain Expertise
Supply-Chain Workflows, Core Banking Modules, Transaction Processing, Regulatory Reporting.