Maaz Bin Asad

Software Engineer

India4 yrs 3 mos experience

Most Likely To Switch

Key Highlights

Expert in building scalable microservices and event-driven systems.
Proficient in cloud-native deployment and system architecture.
Strong background in performance optimization and high availability.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in the Healthcare industry.

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Skills

Core Skills

Microservices ArchitectureCloud-native DeploymentEvent-driven Systems

Other Skills

API GatewayAPM and ObservabilityAsynchronous QueuesC++CI/CD Pipelines (Jenkins/GitHub Actions)CachingCloud-Native ArchitectureData StructuresData modelling and Query OptimizationDatabase Management System (DBMS)Distributed SystemsElastic APMElasticsearchGit/GitHubGrafana

About

Software Engineer with hands-on experience in designing and deploying highly available and scalable, event-driven systems. Skilled in backend development, distributed systems, cloud-native deployment, and system architecture. Proven ability to build resilient architectures, optimize performance, and ensure high availability in production environments through effective monitoring, traffic management, and infrastructure automation.

Experience

Optum

2 roles

Associate Software Engineer

Promoted

Sep 2024 – Present · 1 yr 6 mos

Building scalable microservices using Spring Boot, Python, and Kafka for real-time event streaming
Managed incoming traffic using in-house API Gateway, Filter chains, and rate limiters
Used MySQL data persistence, Redis for caching, rate limiting, and Snowflake for large data processing
Deployed services on Kubernetes with HELM charts and scaled up using Kubernetes autoscaling, and L7 load balancers
Managed Observability and monitoring using Splunk, Elastic APM, Zabbix, and Grafana

Spring BootPythonKafkaMySQLRedisSnowflake+8

Software Engineer

Sep 2023 – Sep 2024 · 1 yr

Itribe

2 roles

Software Engineer Intern II

Jul 2022 – Jun 2023 · 11 mos · Bengaluru, Karnataka, India

Built scalable microservices architecture using NestJS utilizing interceptors, guards, and middlewares for secure and
validated request handling
Managed service routing and communication through self-designed API Gateway and observables
Ensured high performance with caching, rate limiting, asynchronous queues, and production-grade monitoring
Implemented event-driven architecture and integrated a machine learning model for personalized news classification

NestJSAPI GatewayCachingRate LimitingAsynchronous QueuesMachine Learning+2