Platform Architect
10+ years of progressive experience in software engineering, with at least 5 years in a dedicated Software Architect role for large-scale enterprise applications.
Deep expertise in Java 21+ and the Spring Boot & Spring Cloud ecosystems.
Proven experience designing and evolving large, complex monolithic applications, particularly through modernization efforts like domain isolation or strangler pattern.
Strong understanding of distributed systems architecture, including practical experience with distributed caches (e.g., Redis, Hazelcast, Ehcache) for performance and data consistency.
Demonstrable knowledge of various inter-service communication mechanisms, specifically including RMI (Remote Method Invocation), and the ability to evaluate its appropriate use alongside modern alternatives (e.g., REST, gRPC, messaging queues).
Expertise in identifying and mitigating architectural smells, particularly inherent cycles and high coupling in large monoliths.
Extensive experience with product engineering for on-premise applications, understanding the unique challenges of installation, configuration, upgrades, and support in customer environments.
Hands-on experience or deep familiarity with AI-based spec-driven development methodologies (Research-Plan-Act), including leveraging AI tools for architectural analysis, design, and specification.
Strong command of architectural patterns (e.g., Domain-Driven Design, Layered Architecture, Event-Driven Architecture) and their application in modular design.
Experience with build tools (Maven/Gradle), CI/CD pipelines, and version control (Git).
Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
Essential functions
Design and implement robust solutions leveraging distributed caches to optimize performance and scalability within the evolving modulith.
Assess and strategically utilize or transition from RMI for inter-service communication where appropriate, evaluating modern alternatives and ensuring compatibility during the transition.
Proactively identify and address cycles inherent to large monoliths, developing strategies for disentanglement and reduction of coupling.
Ensure the architectural design meets the high standards required for product engineering in on-premise applications, including considerations for deployment, configuration, monitoring, and supportability in enterprise environments.
AI-Based Spec-Driven Development: Champion and integrate an AI-based spec-driven development methodology (Research-Plan-Act) into the team's workflow, leveraging AI tools to assist in requirements analysis, design generation, and validation.
Performance & Scalability: Understand and implement strategies for performance optimization, scalability, and resilience across the modulith.
Security & Compliance: Ensure architectural designs adhere to security best practices and compliance requirements relevant to on-premise enterprise software.
Mentorship & Leadership: Mentor junior and senior engineers, fostering a culture of technical excellence and continuous improvement. Communicate regularly with the client’s multi-disciplinary team.
Qualifications
10+ years of progressive experience in software engineering, with at least 5 years in a dedicated Software Architect role for large-scale enterprise applications.
Deep expertise in Java 21+ and the Spring Boot & Spring Cloud ecosystems.
Proven experience designing and evolving large, complex monolithic applications, particularly through modernization efforts like domain isolation or strangler pattern.
Strong understanding of distributed systems architecture, including practical experience with distributed caches (e.g., Redis, Hazelcast, Ehcache) for performance and data consistency.
Demonstrable knowledge of various inter-service communication mechanisms, specifically including RMI (Remote Method Invocation), and the ability to evaluate its appropriate use alongside modern alternatives (e.g., REST, gRPC, messaging queues).
Expertise in identifying and mitigating architectural smells, particularly inherent cycles and high coupling in large monoliths.
Extensive experience with product engineering for on-premise applications, understanding the unique challenges of installation, configuration, upgrades, and support in customer environments.
Hands-on experience or deep familiarity with AI-based spec-driven development methodologies (Research-Plan-Act), including leveraging AI tools for architectural analysis, design, and specification.
Strong command of architectural patterns (e.g., Domain-Driven Design, Layered Architecture, Event-Driven Architecture) and their application in modular design.
Experience with build tools (Maven/Gradle), CI/CD pipelines, and version control (Git).
Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
We offer
Opportunity to work on bleeding-edge projects
Work with a highly motivated and dedicated team
Competitive salary
Flexible schedule
Benefits package - medical insurance, sports
Corporate social events
Professional development opportunities
Well-equipped office
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
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