(a) Backend development:
1. Python Frameworks: Proficient in FastAPI or Flask to develop high-performance, asynchronous web services.
2. gRPC: Experience with gRPC for creating efficient, low-latency, and scalable microservices.
3. WebSockets Skilled in implementing real-time communication features using WebSockets.
(b) Database management:
1. PostgreSQL: Designing, optimizing, and managing relational database schemas and queries.
2. MongoDB: Working with NoSQL databases for flexible, scalable data storage.
3. DynamoDB: Experience with AWS DynamoDB for highly scalable, low-latency data storage solutions.
(c) Cloud services:
1. AWS Cloud: Comprehensive knowledge of AWS cloud services, including S3, EC2, Lambda, RDS, and IAM for deploying and managing applications.
2. Docker: Containerizing applications using Docker for consistent and scalable deployment.
3. Serverless Architecture: Understanding of serverless computing models, particularly AWS Lambda.
(d) Frontend development:
1. React: Developing dynamic and responsive user interfaces using React.
2. Highcharts: Creating interactive and data-driven visualizations.
3. HTML/CSS/[removed] Strong foundation in core web technologies for building and styling web pages.
(e) Architecture and performance:
1. High Throughput Real-Time Inference: Designing and implementing high throughput, real-time inference microservices architecture.
2. Scalability and Performance Optimization: Optimizing applications for performance and scalability to handle high loads.
3. Microservices Architecture: Designing and implementing microservices architecture for modular and scalable applications.
(f) Additional technologies:
1. CI/CD Pipelines: Experience with continuous integration and continuous deployment (CI/CD) pipelines using tools like Jenkins, GitHub Actions, or AWS CodePipeline.
2. APIs: Understanding of RESTful API design and development.
3. Testing: Writing unit and integration tests using tools like pytest, Jest, or similar.
4. Version Control: Using Git for version control and collaboration.
Skill(s) required
Amazon Web Server (AWS)ApacheCI/CDCSSFastAPIHTMLJavaScriptMongoDBPHPPostgreSQLPythonReactJSREST API
1. Apache Spark: Familiarity with Apache Spark for large-scale data processing.
2. Kubernetes: Experience with Kubernetes for container orchestration and managing containerized applications at scale.
3. AWS SQS and SNS: Knowledge of AWS Simple Queue Service (SQS) and Simple Notification Service (SNS) for message queuing and notification.
4. Azure or GCP: Understanding of additional cloud platforms like Azure or Google Cloud Platform (GCP).
5. GraphQL: Experience with GraphQL for building flexible and efficient APIs.
Salary
Duration: 2 months
Salary during probation: ₹15,000 - 20,000 /month (only for freshers)
After probation:
Annual CTC: ₹ 3,00,000 - 3,60,000 /year
Number of openings
1
About Avinya NeuroTech Pvt. Ltd.
Avinya NeuorTech is a MedTech startup, incubated at CfHE, IIT Hyderabad. The startup aims to develop innovative neurodiagnostic solutions to support neurologists in making informed decisions for better patient outcomes.