We are seeking an experienced Solutions Architect to lead the design and implementation of robust scalable microservices using Java JVM frameworks Java 17 Spring Boot MicroProfile or equivalent You will architect a modern cloud-native application suite guiding the migration from legacy RPG-based systems to a future-proof AWS-powered microservices ecosystem ResponsibilitiesCore Platform Java JVM-based frameworks Java 17 Spring Boot MicroProfile or similar for building microservices Will be a Java application suite replacing RPG code Design end-to-end architectures for Java-based microservices leveraging frameworks like Spring Boot or MicroProfile Lead the migration strategy from RPG Report Program Generator codebases to modern Java applications Architect and implement cloud-native solutions on AWS ensuring best practices in security scalability and cost-efficiency Oversee the setup of AWS compute EC2 Lambda EKS ECS storage S3 RDS DynamoDB and infrastructure automation Terraform CloudFormation Define API contracts service orchestration and data integration patterns Guide development teams on adopting microservices DevOps pipelines and infrastructure-as-code Collaborate with stakeholders including developers product owners and business analysts to gather requirements and deliver effective solutions Optimize system performance reliability monitoring and disaster recovery protocols within AWS Stay updated on emerging technologies and recommend improvements to maintain modern maintainable architectures Comfortable learning recent technologies on the job Claude 3 7 or 4 Sonnet LLM AST abstract syntax tree RequirementsProficiency in English B2 is essential with great communication skills Java Expertise Deep hands-on experience with Java J2EE Spring Boot or equivalent and designing microservices-based applications Strong understanding of object-oriented design and enterprise patterns Cloud Architecture Proven track record designing and implementing AWS solutions Comfortable with AWS compute EC2 Lambda EKS ECS storage RDS S3 DynamoDB and security best practices Experience with infrastructure-as-code Terraform CloudFormation is expected AWS Bedrock AI ML Awareness Interest or experience in generative AI LLMs and RAG for code documentation tasks Knowledge of how static analysis and LLMs can automate migrations will help Legacy Modernization Experience Understanding of SDLC and agile in particular Hands-on experience with developer daily basis tools such as IDE s compilers debuggers profilers version control systems bug tracking systems build systems code coverage and automated testing tools Ability to proactively identify and solve engineering problems in a simple manner Good interpersonal communication skills both verbal and written Nice to have Prior involvement in a legacy-to-modern migration e g mainframe or IBM i AS400 modernization is highly desirable Familiarity with RPG Report Program Generator or other IBM i technologies DB2 CL is a plus You should be able to reverse-engineer and interpret legacy code and data models Visual representations of code flows to illustrate process sequences data handling and functional relationships within the modules Mermaid JS Domain Knowledge Experience in automotive transportation or enterprise services dealership systems supply chain is a bonus Additional Languages Familiarity with Python for scripting LLM tools data processing Soft Skills Prior experience in POC proof-of-concept projects or architecture prototyping Experience in API development and knowledge of the main principles and best practices 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

📌 Solutions Architect (India)
🏢 Grid Dynamics
📍 India