Responsibilities
1. Full Stack Application Development
• Design, develop, and maintain backend services using Node.js and related frameworks.
• Build dynamic and user-friendly front-end applications using Angular.
• Integrate and manage inter-service communication using NATs.
2. Cloud Infrastructure & Deployment
• Deploy, manage, and optimize applications on AWS services including S3, Aurora, EKS, ECR, CloudFront, VPC,
EC2, SNS, SQS, SES, and Cognito.
• Implement and maintain Terraform for Infrastructure as Code (IaC).
• Oversee containerized deployments using Kubernetes (EKS) and best practices for scaling, logging, and monitoring.
3. Data Management & Streaming
• Work with TimescaleDB for efficient time-series data storage and retrieval.
• Implement and manage Debezium for change data capture and replication.
• Utilize ReteJS for building custom data flow or node-based editor features.
• Develop data visualizations and analytics using Apache Superset.
4. Microservices & Event-Driven Architecture
• Design and maintain scalable microservice architectures that handle high throughput and reliability requirements.
• Implement event-driven patterns for asynchronous data processing using AWS messaging services and NATs.
5. Security & Best Practices
• Ensure application security and compliance with industry standards.
• Conduct code reviews, implement testing (unit, integration, and end-to-end), and maintain CI/CD pipelines to drive quality and reliability.
6. Collaboration & Leadership
• Work closely with cross-functional teams (Product, Design, QA, DevOps) to define technical requirements and deliver features on time.
• Mentor junior and mid-level developers, promoting best practices and a culture of continuous learning.
Required Qualifications
• 5+ years of professional experience in full stack development, focusing on Node.js (backend) and Angular (frontend).
• Proficiency in event-driven communication using NATs or similar messaging technologies.
• In-depth experience with AWS services (S3, Aurora, EKS, ECR, CloudFront, VPC, EC2, SNS, SQS, SES, Cognito).
• Hands-on experience using Terraform for infrastructure automation.
• Practical knowledge of Debezium and TimescaleDB (or other time-series databases).
• Experience deploying and scaling services in Kubernetes (EKS).
• Familiarity with building data flows or node-based editors using ReteJS.
• Ability to design and develop data-driven dashboards and analytics with Apache Superset (or similar BI tools).
• Strong understanding of software engineering best practices (CI/CD, TDD, version control, code reviews).
• Excellent communication skills and the ability to work collaboratively in a fast-paced environment.
Nice to Have
• Experience with React.js or Spring Boot.
• Hands-on experience working with IoT devices and data ingestion pipelines.
• Background in handling time-series data efficiently and effectively.
• Exposure to Machine Learning (ML) and Data Science processes or frameworks.
Why Join Us
• Impactful Work: Contribute to products and services that solve real-world problems and deliver measurable value.
• Collaborative Culture: Be a part of a supportive and diverse team that encourages knowledge sharing and continuous growth.
• Cutting-Edge Technologies: Work on the latest frameworks, cloud services, and data management tools.
• Career Growth: We provide opportunities for professional development, conferences, and continued learning.
• Competitive Compensation: Receive a comprehensive benefits package, including [healthcare, retirement, equity, etc. if applicable].
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