Full Stack Developer – Kafka + ADK + Financial Services Experience

Candidates must be authorized to work in the U.S. on a full-time basis. Unfortunately, we are unable to consider interns, CPT or OPT candidates, or similar training-based employment arrangements for this role.

About The Role

We are seeking a highly skilled Full Stack Developer with strong expertise in distributed systems, event-driven architecture, and AI development frameworks. The ideal candidate will have hands-on experience with Apache Kafka, Agent Development Kit (ADK) frameworks, and prior experience working within the financial services or banking domain.

This role involves building scalable enterprise-grade applications, integrating AI-driven workflows, and supporting high-performance transactional environments.

Key Responsibilities

• Design and develop scalable full stack applications using modern frontend and backend technologies
• Build and maintain event-driven architectures using Apache Kafka
• Develop AI-enabled workflows and intelligent agents using ADK / Agentic AI frameworks
• Integrate APIs, microservices, and real-time streaming platforms
• Work with financial systems handling high-volume transactions and sensitive data
• Collaborate with architects, product owners, and infrastructure teams
• Optimize application performance, resiliency, and security
• Participate in code reviews, CI/CD processes, and production deployments

Required Skills

• Strong Full Stack development experience
• Hands-on expertise with:
• Apache Kafka
• Kafka Streams / Kafka Connect
• Microservices architecture
• REST APIs
• Distributed systems
• Experience with ADK (Agent Development Kit) / AI agent frameworks
• Strong backend development skills in:
• Java / Python / Node.js
• Frontend experience with:
• React.js / Angular / Vue.js
• Database experience:
• PostgreSQL / MongoDB / Oracle / SQL Server
• Cloud exposure:
• AWS / Azure / GCP
• CI/CD and containerization:
• Docker
• Kubernetes
• Jenkins / GitHub Actions

Financial Domain Experience (Required)

Candidates Must Have Prior Experience In

• Banking
• Capital Markets
• Payments
• Trading Platforms
• Financial Risk Systems
• Regulatory or Compliance-driven environments

Preferred Qualifications

• Experience with AI/LLM integrations
• Knowledge of RAG pipelines or Agentic AI workflows
• Exposure to high-throughput streaming systems
• Experience with secure enterprise environments
• Understanding of financial messaging systems

Soft Skills

• Strong communication and problem-solving skills
• Ability to work in fast-paced enterprise environments
• Self-driven and capable of handling ownership independently