Principal SE

Job Description
As a
Principal Software Engineer
, you will take a strategic leadership role in the design and development of cutting-edge software solutions. You will work hands-on with modern technologies, leading cross-functional engineering teams, mentoring developers, and driving architectural decisions that shape the future of our products.

You will be instrumental in delivering scalable and flexible services, crafting high-quality web applications, and exposing core platform capabilities to a diverse range of applications and user bases. You will also play a key role in promoting an agile, innovative, and collaborative culture—fostering continuous learning and technical excellence across the organization.

If you thrive on solving complex problems, love technology, and want to make a real impact while mentoring and growing others, this opportunity is for you.

Core Requirements And Responsibilities

• Design, develop, and maintain robust, scalable, and high-performance Java/Kotlin-based backend services.
• Lead the implementation of microservices and REST APIs using Spring Boot, ensuring clean architecture and best practices.
• Architect and implement event-driven systems leveraging technologies like Amazon Kinesis.
• Ensure backend services are secure, reliable, and optimized for performance, applying best practices in multithreading and concurrency.
• Own the full software development lifecycle: from technical design and development to deployment and monitoring in AWS environments.
• Troubleshoot and resolve complex backend issues across the stack, including application, database, and infrastructure layers.
• Collaborate with product owners, architects, and other engineering teams to understand business requirements and translate them into technical solutions.
• Contribute to the technical roadmap, proposing improvements to system architecture, development process, and coding standards.
• Create and maintain technical documentation, design diagrams, and internal knowledge sharing resources.
• Guide and mentor junior engineers, fostering technical growth and knowledge sharing within the team.
• Champion agile practices, participating in sprint planning, code reviews, retrospectives, and daily stand-ups.
• Maintain high standards for code quality, security, performance, and scalability.

Knowledge, Skills And Abilities

• 12–14 years of professional experience in software development, with a focus on Java/Kotlin and backend systems.
• Proven experience building and deploying microservices using Spring Boot and RESTful APIs.
• Strong proficiency in or
• Deep knowledge of event-driven architecture using Kafka or Kinesis.
• Extensive hands-on experience with AWS, including services like EC2, S3, Lambda, DynamoDB,Aurora,Elastic Search, CloudFormation, and IAM.
• Solid understanding of cloud-native application design, security, monitoring, and scalability on AWS.
• Experience with GIT, DevOps tools (Gitlab is preferred), and CI/CD pipelines.
• Implement and maintain monitoring, alerting, and logging solutions using tools such as Grafana, Kibana, Prometheus, CloudWatch, and ELK Stack.
• Proficiency in OAuth 2.0, JWT, and application security best practices.
• Experience working with relational and NoSQL databases (especially DynamoDB).
• Experience with container orchestration tools such as Kubernetes and Spring Cloud.
• Strong understanding of performance tuning and scalable system design.
• Comfortable operating in Agile environments and driving best practices across teams
• Exceptional problem-solving, analytical, and debugging skills.
• Strong leadership capabilities with a proven track record of delivering complex solutions.
• Excellent communication and collaboration skills, including the ability to engage with non-technical stakeholders.
• Passionate about mentoring and elevating engineering teams.
• Self-starter, proactive, and committed to continuous improvement.
• Ability to think strategically while remaining hands-on in execution.

Preferred Skills

• Experience or exposure to AI/ML and ML Ops is a plus.
• Background in data analytics/ETL Processes and large-scale distributed systems.
• Experience preparing and delivering technical training or knowledge-sharing sessions.