Principal Software Engineer

ural decisions and design considerations.

• Partner with other Architect's and Manager to come up with setting technical guidelines and participate in code reviews to mentor other engineers on best practices.

• Partner with Product to do early feasibility of technical architecture.

• Partner with other Architects to build necessary frameworks to improve productivity of the engineers by driving automation.

• Introduce newer technologies as needed along with a strong POC and build a strong use case for more adoptability.

• Troubleshoot complex production issues and provide detailed RCA.

• Participate in agile activities like sprint planning, and technical design reviews; provide input as appropriate

• AI-Driven Software Architecture: Design, develop, and implement scalable, maintainable, and high-performance AI-powered software systems. Integrate AI models and algorithms into software applications to deliver intelligent solutions.

You've Got What It Takes If You Have...

• Bachelor's or master's degree in computer science or related field.

• 8+ years of experience with active hands-on development experience in Microsoft Technology stack using C#

• Strong experience developing Microservices, RESTful services (preferably AWS)

• Experience with AWS core services: Lambda, ECS (Elastic Container Service), SNS (Simple Notification Service), SQS (Simple Queue Service), DynamoDB.

• Expertise in CloudWatch (monitoring and logging), cost management tools, and IAM for managing user permissions and security protocols.

• Knowledge of Elasticsearch and querying logs in Splunk.

• Exposure to ORM's like Entity Framework, Nhibernate or similar.

• Strong TDD approach and hands-on experience on tools like Nunit, xUnit or any other testing tools or frameworks and CICD practices.

• Strong in OOP and SOLID design principles.

• Understand AWS core services and basic architecture best practices.

• Experience in working on projects with public cloud providers like Amazon Web Services, Azure, Google Cloud, etc.

• Highly efficient data persistent design techniques. Strong understanding of data retrieval performance (queries, caching). Able to optimize designs/queries for scale.

• Proficient experience with relational databases such as Microsoft SQL Server/Postgres. Exposure to other non-relational DBs like MongoDB is a plus!

• Good understanding on how to deal with concurrency and parallel work streams.

• Should have work experience with Agile practices.

• Should be very good at analyzing and Debugging/Troubleshooting functional and technical issues.

• Should have good insight on Performance/Optimization techniques.

• Good understanding on secure development practices and proactively codes to avoid security issues. Able to resolve all findings.

• Excellent analytical, quantitative and problem-solving abilities

• Conversant in algorithms, software design patterns and Microservices, and their best usage.

• Ability to build frameworks and POC's from scratch that can be used across the teams.

• Self-motivated, requiring minimal oversight.

• Good team player with the ability to handle multiple concurrent priorities in a fast-paced environment.

• Strong interpersonal, written, and oral communication skills.

• Passion for continuous process and technology improvement

• AWS experience must and Certification preferable.

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