Software Engineer

As part of our team, you'll play a key role in building and evolving our Integration Platform as a Service (iPaaS) solution. This platform empowers our clients to seamlessly connect systems, automate workflows, and scale integrations with modern cloud-native tools.

Responsibilities:

• Designing and Building Integrations: Collaborate with clients to understand integration needs and build scalable, event-driven solutions using Apache Kafka, AWS Lambda, API Gateway, and EventBridge.
• Cloud-Native Development: Develop and deploy microservices and serverless functions in TypeScript (Node.js ), hosted on Kubernetes (EKS), and fully integrated with core AWS services like S3 SQS, and SNS.
• Managing Data Pipelines: Build robust data flows and streaming pipelines using Kafka and NoSQL databases, ensuring high availability and fault tolerance.
• Client Collaboration: Work directly with customers to gather requirements, design integration patterns, and provide guidance on best practices for cloud-native architectures.
• Driving Platform Evolution: Contribute to the ongoing improvement of our iPaaS platform, enhancing observability, scaling capabilities, and CI/CD processes using modern DevOps practices.

Requirements:

• Solid experience in Apache Kafka for data streaming and event-driven systems.
• Production experience with Kubernetes (EKS) and containerized deployments.
• Deep knowledge of AWS, including S3 EC2 SQS, SNS, EventBridge, and Lambda.
• Proficient in TypeScript (Node.js environment).
• Experience with MongoDB or other NoSQL databases.
• Familiarity with microservices architecture, async messaging, and DevOps practices.
• AWS Certification (e. g., Solutions Architect or Developer Associate) is a plus.
• GraduateBE/B. Tech or equivalent.
• 5 to 8 years of experience.
• Self-motivated and quick learner with excellent problem-solving skills.
• A good team player with good communication skills.
• Energy and real passion to work in a startup environment.

Skills

AWS, Amazon Web Services, Apache Kafka, EKS, Kafka, Kubernetes