Abhishek Maurya

Software Engineer

Bengaluru, Karnataka, India2 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable backend systems.
Proven track record in microservices architecture.
Strong focus on performance and reliability.

Stackforce AI infers this person is a Backend-heavy Software Engineer with expertise in SaaS and IoT solutions.

Contact

abhishekmaurya2552@gmail.com LinkedIn

Skills

Core Skills

MicroservicesDistributed SystemsCloud ComputingPerformance Tuning

Other Skills

AWSAlexa Skills Kit (ASK)CC++Competitive ProgrammingDeep LearningElastic APMFirebaseGoGoogle HomeHigh-Level DesignImage ProcessingJenkinsKafkaLow-Level Design

About

Experienced Software Engineer with a strong foundation in designing and optimizing scalable, distributed backend systems. Skilled in building cloud-native solutions, microservices, and event-driven architectures with a focus on performance, reliability, and maintainability. Architecture: Backend Development, Distributed Systems, Event-Driven Architectures, Microservices, Serverless, High-Level Design (HLD), Low-Level Design (LLD) Tech Stack: Go, Python, C++, Node.js, Java | Kafka, Redis, MongoDB, MySQL, MQTT, Elastic Search | AWS, Kubernetes, Docker, CI/CD | gRPC, REST APIs Core Skills: Concurrency, System Design, Algorithms, Data Structures, Object-Oriented Programming, Problem-Solving Passionate about tackling challenging engineering problems, collaborating in cross-functional teams, and contributing to impactful software products.

Experience

Panasonic india

2 roles

Software Engineer 2

Apr 2025 – Present · 11 mos · On-site

Software Engineer

Jun 2023 – Apr 2025 · 1 yr 10 mos · On-site

1. Built a multi-tenant architecture across Go-based microservices using MongoDB and Redis, reducing latency by 25% and accelerating tenant onboarding.
2. Revamped a Kinesis-based data pipeline into a Kafka-driven Go architecture, improving throughput and cutting API response times by 40%.
3. Architected a notification pipeline delivering 1M+ notifications in <30 minutes with 99.9% reliability (Kafka, Redis, Go concurrency).
4. Integrated Alexa and Google Home with smart devices via Node.js & AWS Lambda, enabling 100K+ users to control devices in real time.
5. Enhanced observability with Elastic APM, reducing MTTR by 60% through centralized logging and distributed tracing.

GoMongoDBRedisKafkaNode.jsAWS+3