Full Stack Developer

About the Role :

We are looking for a versatile Full Stack Developer who thrives at the intersection of modern software engineering and AI-driven development. You will design, build, and ship production systems end-to-end - from crafting responsive front-end experiences to architecting resilient back-end services, databases, and cloud infrastructure. Critically, you should be comfortable leveraging AI tools and techniques (LLMs, code-generation assistants, prompt engineering) to accelerate development workflows and embed intelligent features into products.

Key Responsibilities :

- Back-End Development : Design and develop scalable web applications and APIs using Node.js, Python, or equivalent server-side frameworks.

- Front-End Development : Build responsive, accessible, and performant user interfaces with modern JavaScript/TypeScript frameworks (React, Next.js, or similar).

- Database Architecture : Design and manage relational (PostgreSQL, MySQL), NoSQL (MongoDB, DynamoDB), and graph databases (Neo4j, Amazon Neptune) based on application requirements.

- AI Integration & Tooling : Integrate AI/ML models and LLM-based features into applications; use AI-assisted coding tools (GitHub Copilot, Claude, Cursor) to boost productivity and code quality.

- Cloud & Infrastructure : Provision and manage cloud infrastructure on AWS (EC2, ECS/EKS, Lambda, S3, RDS, CloudFront, IAM); design for high availability, security, and cost-efficiency.

- DevOps & Containerization : Containerize applications with Docker; build and maintain CI/CD pipelines for automated testing and deployment.

- Real-Time & Messaging : Architect event-driven and real-time systems using Redis (caching, pub/sub), Apache Kafka (stream processing), and MQTT (IoT / lightweight messaging).

- Quality & Collaboration : Write clean, testable, and well-documented code; participate actively in code reviews and architectural discussions.

- Strong proficiency in Node.js and/or Python (or a comparable back-end language like Go, Rust, or Java).

- Working knowledge of SQL databases (PostgreSQL, MySQL), NoSQL stores (MongoDB, DynamoDB, Redis), and at least basic familiarity with graph databases (Neo4j, Neptune).

- Practical experience with Docker for containerization and familiarity with container orchestration concepts (Docker Compose, Kubernetes basics).

- Hands-on experience with Redis (caching, queues), Apache Kafka (event streaming), and/or MQTT for messaging and IoT workloads.

- Solid understanding of AWS services and cloud-native architecture patterns; ability to design, deploy, and monitor infrastructure on AWS.

- Demonstrable experience working with AI tools - whether integrating LLM APIs (OpenAI, Anthropic, open-source models), building RAG pipelines, prompt engineering, or using AI coding assistants in daily workflows.

Good to Have :

- Experience with Infrastructure-as-Code tools (Terraform, AWS CDK, CloudFormation).

- Familiarity with observability stacks (Prometheus, Grafana, ELK, Datadog).

- Background in fintech, trading platforms, or real-time data systems.

- Contributions to open-source projects or a visible technical portfolio (GitHub, blog, talks).

- Understanding of security best practices (OAuth 2.0, JWT, API gateway patterns, secrets management).

- Experience with serverless architectures (AWS Lambda, Step Functions, SQS/SNS).