Software Engineer II

Responsibilities

• Design and develop scalable, cloud-native services that process high-volume IoT data and deliver actionable insights.
• Work on distributed systems using technologies like AWS, Kafka and Kubernetes to solve challenges related to performance, reliability, and scale.
• Translate product requirements into scalable system designs and production-ready applications.
• Create technical designs and contribute to system architecture decisions.
• Build and scale microservices using modern cloud technologies.
• Design, build, and maintain efficient, reusable, reliable and scalable software.
• Troubleshoot and resolve issues in production systems.
• Ensure application performance, quality, and responsiveness.
• Identify performance bottlenecks and develop solutions to these problems.
• Develop and maintain automated tests to ensure system reliability.
• Identify and implement application monitoring and metrics.
• Evaluate and implement technologies that improve scalability and performance.
• Participate in sprint planning and feature delivery.
• Own features end-to-end in production environments.
• Collaborate cross-functionally with engineering, product, and DevOps teams.

Qualifications

• Must have 3+ years of professional software engineering experience building and operating production systems.
• Strong experience with Java and object-oriented programming.
• Experience building backend services using frameworks such as Spring Boot.
• Experience building microservices or distributed systems.
• Experience working with a cloud platform (AWS preferred).
• Experience designing scalable and reliable systems.
• Experience working in production environments (monitoring, debugging, performance optimization).
• Ability to write clean, maintainable, secure code.
• Able to work independently and collaboratively.
• Strong organizational skills that reflect ability to perform and prioritize multiple tasks with excellent attention to detail.
• Bachelor's degree or equivalent.

Nice to Have

• Experience with Kafka, Redis, or event-driven architectures.
• Experience with Kubernetes and Docker.
• Experience with PostgreSQL or relational databases.
• Exposure to IoT or real-time data systems.
• Experience with CI/CD pipelines and modern DevOps practices.
• Exposure to NoSQL databases (e.g., MongoDB, Elasticsearch).
• Experience in AI/ML, Agentic AI, AWS SageMaker or equivalent.
• Experience with TypeScript/node.js and AWS Lambda.
• Master’s in Computer Science or equivalent.