Development Manager

• 12-14 years of experience in software engineering, solution design, and enterprise application architecture.
• Strong experience designing and delivering enterprise-scale Java applications.
• Extensive experience working with both monolithic and microservices-based architectures.
• Hands-on experience with Java, Spring Framework, and Spring Boot.
• Strong understanding of microservices design patterns, service discovery, API gateways, distributed systems, and event-driven architectures.
• Experience designing RESTful APIs and enterprise integration solutions.
• Strong understanding of software design principles, design patterns, and architectural best practices.
• Experience modernizing legacy applications and migrating monolithic systems to microservices architectures.

AI Platforms & Emerging Technologies

• Hands-on experience architecting and delivering solutions using Palantir Foundry, Palantir AIP, Ontology, and Workshop.
• Experience integrating AI/LLM capabilities into enterprise business applications.
• Understanding of Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and AI workflow architectures.
• Experience evaluating and adopting emerging AI platforms and technologies.
• Experience conducting Proof of Concepts (POCs) and technical feasibility studies for new tools and platforms.
• Experience with alternative AI platforms/frameworks is highly desirable.

Database & Data Architecture

• Strong experience working with PostgreSQL databases.
• Experience designing data models and database schemas.
• Hands-on experience with schema migrations, query optimization, stored procedures, functions, triggers, and database performance tuning.
• Experience defining data integration and data governance approaches across applications.

Cloud, DevOps & Infrastructure

• Good understanding of AWS and/or Azure cloud architectures.
• Experience working with Docker and Kubernetes-based deployments.
• Familiarity with Infrastructure-as-Code concepts and tools such as Terraform.
• Experience supporting CI/CD implementations using tools such as Azure DevOps, GitHub, or Jenkins.

Understanding of application monitoring, observability, logging, and operational