About the role
Job Description
Requirements
* Experience : 13+yrs * Relevant experience in software engineering, solution design, and enterprise application architecture. * Strong experience designing and delivering enterprise-scale Java applications. * Strong hands-on experience with Java, Spring Framework, and Spring Boot. * Strong experience with microservices architecture and modern distributed application design. * Strong understanding of microservices design patterns, service discovery, API gateways, distributed systems, and event-driven architectures. * Proven experience designing RESTful APIs, enterprise integrations, and service contracts. * Strong understanding of software design principles, design patterns, and architectural best practices. * Experience working with both monolithic and microservices-based architectures. * Proven experience modernizing legacy applications and migrating monolithic systems to microservices architectures. * Hands-on experience with Palantir Foundry, Palantir AIP, Ontology, and Workshop. * Experience architecting and delivering AI-powered enterprise applications using Palantir and related AI platforms. * Good understanding of Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and AI workflow architectures. * Experience integrating AI/LLM capabilities into enterprise business applications. * Experience conducting POCs, technical feasibility studies, architecture spikes, and evaluations of emerging technologies. * Strong experience 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. * Good understanding of AWS and/or Azure cloud architectures. * Experience with Docker and Kubernetes-based deployments. * Familiarity with Infrastructure-as-Code concepts and tools such as Terraform. * Experience supporting CI/CD implementations using Azure DevOps, GitHub, Jenkins, or similar tools. * Understanding of application monitoring, observability, logging, and operational support requirements. * Experience with enterprise messaging and event-driven architectures. * Familiarity with Kafka, RabbitMQ, AWS SQS/SNS, or similar messaging technologies. * Understanding of asynchronous communication patterns and distributed transaction management. * Strong cloud architecture and solution design capabilities. * Strong consulting, stakeholder management, communication, and presentation skills. * Ability to translate complex business requirements into scalable technical solutions. * Strong architectural leadership, technical decision-making, and problem-solving skills. * Ability to rapidly evaluate new tools, frameworks, AI platforms, and technologies and recommend appropriate solutions. * Strong innovation mindset with experience driving ideation, experimentation, and technology adoption initiatives. * High level of ownership, accountability, and technical leadership.
Responsibilities
* Define and maintain solution architecture, technical standards, design principles, and technology roadmaps for enterprise applications. * Lead architecture and design discussions across product, engineering, infrastructure, and business teams. * Architect and develop cloud-native enterprise solutions using Java, Spring Boot, containerization, and modern deployment patterns. * Design scalable APIs, service contracts, integration patterns, and event-driven architectures. * Provide technical leadership and solution guidance to development teams, ensuring implementations align with architectural standards, best practices, and business objectives. * Lead the design and delivery of major feature enhancements and complex technical initiatives from solution definition through implementation and deployment. * Act as the technical escalation point for complex architectural and development challenges. * Conduct design reviews and mentor engineers on architecture, software design, and development best practices. * Architect and support AI-powered business applications using Palantir Foundry, Palantir AIP, Ontology, Workshop, and other emerging AI frameworks. * Design and integrate AI/LLM capabilities into enterprise applications, including Generative AI, Agentic AI, RAG, and AI workflow architectures. * Lead Proofs of Concept (POCs), innovation initiatives, technical evaluations, and architecture spikes for emerging technologies. * Evaluate new AI platforms, frameworks, tools, and technologies and recommend suitable solutions based on business and technical requirements. * Collaborate with DevOps and infrastructure teams to define deployment, monitoring, CI/CD, observability, and operational requirements. * Design and support cloud-native architectures across AWS and/or Azure environments. * Define scalable and resilient microservices architectures, including service discovery, API gateways, distributed systems, and asynchronous communication patterns. * Design database architectures and data models using PostgreSQL, ensuring scalability, performance, and maintainability. * Support database schema design, migrations, query optimization, stored procedures, functions, triggers, and performance tuning. * Define data integration and governance approaches across enterprise applications. * Design and implement messaging and event-driven solutions using technologies such as Kafka, RabbitMQ, AWS SQS/SNS, or similar platforms. * Ensure architecture compliance with enterprise security, governance, regulatory, and operational requirements. * Support modernization of legacy applications and migration from monolithic to microservices-based architectures. * Drive technical innovation and experimentation initiatives while maintaining alignment with enterprise architecture standards. * Provide architectural leadership, technical direction, and decision-making across complex enterprise technology initiatives.
Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.