Hyderabad, Telangana, India
Information Technology
Full-Time
Trika Technologies
Overview
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
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.
- 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.
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