Requirements
- Experience : 13+ years
- Relevant years of 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.
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
