Senior Java Engineer
Job Description: Must Have Technical/Functional Skills
- 15+ years of software engineering experience [Java], including substantial hands-on development and technicalleadership in Java-based enterprise applications.
- Strong hands-on expertise in Java 21, with strong understanding of modern Java features and their applicationin enterprise-grade systems.
- Strong experience with Java 21, Spring Boot 3.x, Spring Framework 6.x, Spring Security, Hibernate/JPA, andRESTful APIs.
- Hands-on knowledge of Virtual Threads, Records, Sealed Classes, Pattern Matching, enhanced Switchexpressions, Streams, Collections, concurrency, JVM internals, memory management, garbage collection, andperformance tuning.
- Extensive experience designing and developing microservices-based, cloud-native, and distributedapplications.
- Strong Kubernetes experience covering deployments, services, ingress, configuration, secrets, autoscaling, health probes, resource management, namespaces, RBAC, Helm, upgrade planning, and productiontroubleshooting.
- Strong container engineering experience with Docker, secure base images, image scanning, registries, andcontainer runtime practices.
- Experience implementing and maintaining CI/CD pipelines and infrastructure automation using tools such asGitHub 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 alsoacceptable.
- Practical experience with Microsoft Azure or equivalent cloud platforms, including cloud-native applicationdeployment, monitoring, security, scalability, and resiliency.
- Strong knowledge of automated testing using JUnit, Mockito, API testing tools, and frontend testingframeworks.
- Experience with application security concepts, including authentication, authorization, OAuth 2.0, JWT, secureAPI 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, releaseplanning, and technology roadmap development.
- Ability to translate business and functional requirements into scalable technical solutions, detailed designs, andimplementation plans.
- Strong experience in AI-Driven Software Development Lifecycle (AIDLC), utilizing enterprise-approved AI toolssuch as GitHub Copilot and Microsoft 365 Copilot to accelerate software development, testing, documentation, troubleshooting, and delivery outcomes. Final approved job description
- Experience working with business-critical applications, regulatory environments, security standards, andenterprise governance processes. AI-Enabled Engineering Practices
- Apply enterprise-approved AI-assisted engineering tools to coding, testing, documentation, codecomprehension, and troubleshooting while complying with security and governance requirements.
- Promote responsible adoption of AI-assisted development through human review, secure prompt and datahandling, 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, KeyVault, Service Bus, Event Hubs, Azure Monitor, and Application Insights.
- Troubleshoot container startup failures, readiness and liveness issues, image and registry problems, DNS andnetwork 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-nativetechnologies.
- 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, andevent-driven components.
- Define cloud-native architecture on Azure with emphasis on security, resilience, scalability, availability, costawareness, and operational supportability.
- Lead deployment and lifecycle management of applications on AKS or OpenShift using Docker, Kubernetesmanifests, Helm charts, GitOps, and automated release pipelines.
- Drive modernization of legacy and monolithic applications into modular, API-led, microservices-based, andcloud-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, andproduction-readiness assessments.
- Implement resiliency patterns such as timeouts, retries, circuit breakers, bulkheads, rate limiting, gracefuldegradation, and disaster-recovery readiness.
- Partner with product owners, architects, infrastructure, platform engineering, cybersecurity, database, QA, andbusiness 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