Familiarity with shell scripting (Bash) for automation, debugging, and operational tasks
Exposure to OCPP (Open Charge Point Protocol) or EV/IoT domain
Experience using AI coding assistants (GitHub Copilot, Windsurf/Cursor, ChatGPT, Claude) for development, code review, and technical planning
Experience working in renewable energy, clean tech, or IoT companies
You thrive in a fast-paced environment with ambiguity and evolving priorities
You take ownership — proposing solutions, not just implementing tickets
Skills
Java
Spring Boot
Spring Data
Spring Security
MongoDB
Kafka
AWS SQS
AWS SNS
Kinesis
Docker
AWS EKS
Kubernetes
Git
Bitbucket
GitHub
Jenkins
GitHub Actions
JWT
OAuth 2.0
AWS Lambda
WebSockets
Elasticsearch
OpenSearch
MySQL
PostgreSQL
React
JavaScript
TypeScript
Redis
ElastiCache
Datadog
ELK
Prometheus
Bash
FHIR
HL7v2
X12
EDI
CDA
CCD
REST APIs
Epic
Oracle Health
Cerner
athenaHealth
ModMed
AI coding assistants
GitHub Copilot
Windsurf
Cursor
ChatGPT
Claude
About the company
It’s fun to work in a company where people truly BELIEVE in what they’re doing!
We’re committed to bringing passion and customer focus to the business.
Job Summary
Responsibilities
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Key Responsibilities :
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Design, build, and maintain high-throughput Java + Spring Boot microservices serving millions of devices
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Develop RESTful APIs (JSON/XML) secured with JWT and OAuth 2.0
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Work with MongoDB as the primary data store, designing schemas and queries for scale
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Build and consume event-driven architectures using Kafka, AWS SQS/SNS, and Kinesis
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Containerize services with Docker and deploy on AWS EKS (Kubernetes) via CI/CD pipelines
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Collaborate on system design for high availability, disaster recovery, scalability, and performance
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Write clean, testable, well-documented code with strong unit and integration test coverage
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Participate in code reviews, architectural discussions, and sprint planning
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Own features end-to-end — from design and implementation through deployment and production monitoring
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Troubleshoot production issues, perform root-cause analysis, and drive reliability improvements
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Leverage AI-powered development tools for code generation, automated code reviews, test creation, technical planning, and debugging — continuously improving team productivity and code quality
Required skills :
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B.E./B.Tech or ME/M.Tech in Computer Science (or equivalent) from top 150 Nirf engineering colleges.
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8+ years of hands-on back-end development experience
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Strong proficiency in Java (8+) and the Spring ecosystem (Spring Boot, Spring Data, Spring Security) Solid experience with NoSQL databases (MongoDB preferred) — schema design, indexing, aggregation pipelines
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Practical experience with AWS services (EC2, S3, SQS, SNS, Lambda, EKS, CloudWatch, or similar)
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Familiarity with Docker, Kubernetes, and container orchestration
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Experience with Git, Bitbucket/GitHub, and CI/CD tooling (Jenkins, GitHub Actions, or similar)
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Understanding of RESTful API design principles, versioning, and security (OAuth 2.0, JWT)
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Strong organizational skills — ability to define, track, and deliver work independently
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Excellent problem-solving, critical thinking, and analytical skills
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Clear, concise written and verbal communication
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Experience with event streaming platforms — Kafka, AWS Kinesis
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Working knowledge of AWS Lambda and serverless architectures
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Understanding of WebSockets and persistent connection protocols (e.g., OCPP)