Java Full Stack - React JS (26-07427) -

Position Full time

Java Full Stack - React JS

Location

Naperville, IL (Onsite)

Duration

FULL TIME

Exp

8 + Years

Job Description

• 10+ years of software engineering experience [Java], including substantial hands-on development and technical leadership in Java-based enterprise applications.
• Strong hands-on expertise in Java 21, with strong understanding of modern Java features and their application in enterprise-grade systems.
• Strong experience with Java 21, Spring Boot 3.x, Spring Framework 6.x, Spring Security, Hibernate/JPA, and RESTful APIs.
• Hands-on knowledge of Virtual Threads, Records, Sealed Classes, Pattern Matching, enhanced Switch expressions, Streams, Collections, concurrency, JVM internals, memory management, garbage collection, and performance tuning.
• Extensive experience designing and developing microservices-based, cloud-native, and distributed applications.
• Strong Kubernetes experience covering deployments, services, ingress, configuration, secrets, autoscaling,
• health probes, resource management, namespaces, RBAC, Helm, upgrade planning, and production troubleshooting.
• Strong container engineering experience with Docker, secure base images, image scanning, registries, and container runtime practices.
• Experience implementing and maintaining CI/CD pipelines and infrastructure automation using tools such as GitHub Actions or Jenkins, Maven or Gradle, SonarQube, artifact repositories, Terraform or Bicep, and Git-based workflows.
• Hands-on experience with NoSQL databases, preferably MongoDB; experience with Azure Cosmos DB is also acceptable.
• Practical experience with Microsoft Azure or equivalent cloud platforms, including cloud-native application deployment, monitoring, security, scalability, and resiliency.
• Strong knowledge of automated testing using JUnit, Mockito, API testing tools, and frontend testing frameworks.
• Experience with application security concepts, including authentication, authorization, OAuth 2.0, JWT, secure API development, and vulnerability remediation.
• Strong production support experience involving incident management, root-cause analysis, log analysis, troubleshooting, performance optimization, defect resolution, and problem management.
• Experience with monitoring and observability platforms such as Splunk, Dynatrace, Application Insights, Grafana, or Prometheus.
• Demonstrated experience working on application modernization, monolith-to-microservices transformation, cloud migration, and legacy platform integration.
• Experience participating in solution architecture discussions, technical design reviews, code reviews, release planning, and technology roadmap development.
• Ability to translate business and functional requirements into scalable technical solutions, detailed designs, and implementation plans.
• Strong experience in AI-Driven Software Development Lifecycle (AIDLC), utilizing enterprise-approved AI tools such as GitHub Copilot and Microsoft 365 Copilot to accelerate software development, testing, documentation, troubleshooting, and delivery outcomes.
• Experience working with business-critical applications, regulatory environments, security standards, and
• enterprise govern ance processes.
• AI-Enabled Engineering Practices
• Apply enterprise-approved AI-assisted engineering tools to coding, testing, documentation, code
• comprehension, and troubleshooting while complying with security and governance requirements.
• Promote responsible adoption of AI-assisted development through human review, secure prompt and data
• handling, code-quality checks, traceability, and measurable engineering outcomes.
• Azure and Kubernetes Engineering Expectations
• Design secure AKS workloads with appropriate identity, network controls, secret management, pod security,
• RBAC, autoscaling, resource limits, and workload isolation.
• Implement Azure-native integration and monitoring patterns using services such as API Management, Key
• Vault, Service Bus, Event Hubs, Azure Monitor, and Application Insights.
• Troubleshoot container startup failures, readiness and liveness issues, image and registry problems, DNS and
• network connectivity, resource pressure, scaling behavior, and deployment rollback scenarios.
• Apply infrastructure-as-code, immutable deployment practices, policy enforcement, vulnerability management,
• and environment-promotion controls across the delivery lifecycle.

Roles & Responsibilities

• Design, develop, and support scalable enterprise applications.
• Develop and maintain microservices-based applications using Java, Spring Boot, and cloud-native
• technologies.
• Collaborate with stakeholders to deliver business outcomes.
• Own the end-to-end technical solution from requirements and architecture through development, testing,
• deployment, stabilization, and post-production support.
• Design and develop scalable Java and Spring Boot microservices, REST APIs, integration services, and
• event-driven components.
• Define cloud-native architecture on Azure with emphasis on security, resilience, scalability, availability, cost
• awareness, and operational supportability.
• Lead deployment and lifecycle management of applications on AKS or OpenShift using Docker, Kubernetes
• manifests, Helm charts, GitOps, and automated release pipelines.
• Drive modernization of legacy and monolithic applications into modular, API-led, microservices-based, and
• cloud-native solutions.
• Establish engineering standards for coding, API design, exception handling, logging, configuration, testing,
• security, and observability.
• Conduct architecture reviews, design reviews, code reviews, security reviews, performance reviews, and
• production-readiness assessments.
• Implement resiliency patterns such as timeouts, retries, circuit breakers, bulkheads, rate limiting, graceful
• degradation, and disaster-recovery readiness.
• Partner with product owners, architects, infrastructure, platform engineering, cybersecurity, database, QA, and
• business stakeholders to translate requirements into executable designs.
• Lead technical troubleshooting for complex production issues and guide teams through root-cause analysis,
• corrective actions, and preventive improvements