Java Full Stack Developer
Career Path Solutions Private Limited- Posted a month ago
- Over 200 applicants have applied
Job Description
We are looking for an experienced Senior Full Stack Software Engineer to build and scale an AI-powered data verification and enrichment platform for a major professional services client.
The platform is designed to automate company record verification, enrichment, and disambiguation at scale, processing 100K+ live records and supporting 30+ concurrent users.
This role requires a strong engineer who can take ownership of the complete technical foundation, from architecture and technology selection through development, deployment, security, and production optimization.
The ideal candidate should have strong hands-on experience in Python, FastAPI, Angular, PostgreSQL, cloud infrastructure, asynchronous processing, Docker, and CI/CD. Experience working with AI-assisted development tools such as Cursor, Claude, or GitHub Copilot is also required.
Key Responsibilities
Architecture & Design
- Evaluate the existing POC and design a scalable production architecture.
- Select and justify the appropriate technology stack, database, frontend framework, cloud infrastructure, queue system, and caching solution.
- Design systems capable of supporting 100K+ records and 30+ concurrent users.
- Define and document the complete system architecture.
Backend Development
- Migrate data storage from JSON files to a production-grade database.
- Develop scalable asynchronous job-processing systems for high-volume data ingestion.
- Design and implement APIs, including versioning and documentation.
- Optimize database queries, caching, connection pooling, and overall backend performance.
Frontend Development
- Build a production-grade frontend using Angular.
- Develop queue management, record details, approval/override workflows, settings, and admin features.
- Implement real-time updates, search, filtering, and pagination for large datasets.
- Develop role-based user experiences.
Cloud & DevOps
- Set up and manage cloud infrastructure using AWS or Azure.
- Implement hosting, load balancing, auto-scaling, monitoring, and alerting.
- Build CI/CD pipelines for staging and production environments.
- Implement Docker-based containerization and deployment strategies.
- Manage database backups, disaster recovery, and production reliability.
Security
- Implement authentication and session management.
- Design and implement role-based access control.
- Ensure encryption of data at rest and in transit.
- Implement security best practices and audit logging.
Performance & Optimization
- Identify and resolve application and infrastructure bottlenecks.
- Monitor production performance and proactively optimize the platform.
- Optimize cloud infrastructure and operational costs.
Nice to Have
- Experience with Informatica MDM or similar Master Data Management platforms.
- Experience building enterprise-grade platforms.
- Experience integrating AI/LLM APIs, such as OpenAI, Anthropic, or Google Gemini.
- Experience with data verification, enrichment, and entity/company disambiguation systems.
More Info
Key Skills
About Company
