Senior Software Engineer I / II
Verisk Hyderabad, Telangana, India
Job Description
"Unlock the power of insurance industry innovation as a Senior Software Engineer at Verisk, where you'll drive cutting-edge technical change and develop high-performance applications using the latest cloud technologies."
As a Senior Software Engineer at Verisk, you'll be part of a dynamic team pushing the boundaries of insurance industry technology. With a focus on cloud-first architecture, serverless computing, and microservices, you'll have the opportunity to work on a wide range of projects, from designing and building component-based applications to developing and supporting web, mobile, and desktop applications.
Whether you're working independently or as part of a team, you'll have the autonomy to make a meaningful impact on our products and services, driving innovation and growth for our clients and business partners worldwide.
Why you should learn this:
The demand for skilled Senior Software Engineers in the insurance industry is high, driven by the increasing need for digital transformation and technological innovation.
Expected Salary: $120,000 - $180,000 per year, depending on experience and location
How it works:
- Step 1: Familiarize yourself with Verisk's technology stack, including cloud platforms, serverless computing, and microservices architecture.
- Step 2: Develop a deep understanding of software design principles, including component-based architecture, APIs, and data modeling.
Core Concepts to Master
Cloud-First Architecture
Design and implement cloud-based applications using AWS, Azure, or Google Cloud, leveraging serverless computing, containerization, and microservices architecture to achieve scalability, reliability, and security.
Serverless Computing
Develop event-driven applications using AWS Lambda, Azure Functions, or Google Cloud Functions, taking advantage of automated scaling, cost savings, and improved deployment efficiency.
Microservices Architecture
Break down monolithic applications into smaller, independent services that communicate with each other using APIs, enabling greater flexibility, scalability, and maintainability.
Interview Questions (Beginner)
- Can you explain the concept of serverless computing and its benefits?
- How would you design a cloud-based application using a microservices architecture?
- What are the key considerations when implementing a containerized deployment strategy?
Job Overview
Advance Questions
- • Design a scalable and secure architecture for a real-time data processing pipeline using cloud-based services.
- • Implement a machine learning model using a cloud-based platform and integrate it with a web application.
- • Develop a containerized application using Docker and orchestrate it using Kubernetes.