
Backend Java Developer (INTL - Hyderabad India) - Nova Domestic
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Job overview
The posting seeks a highly skilled Senior Java Developer with 8+ years of experience to design, develop, deploy, and optimize enterprise‑grade applications, focusing on Java, Spring Boot, microservices, cloud technologies, and performance tuning while collaborating with cross‑functional teams.
Skills & qualifications
Skills
Qualifications
Full job description
Job Description
We are seeking a highly skilled Senior Java Developer with 8+ years of experience in designing, developing, deploying, and optimizing enterprise-grade applications. The ideal candidate should have strong expertise in Java, Spring Boot, Microservices, Cloud Technologies, and performance tuning. The role requires hands-on development, production support, deployment automation, and collaboration with cross-functional teams to deliver scalable and high-performing solutions.
Key Responsibilities
Design, develop, and maintain scalable Java-based applications and microservices.
Build and consume RESTful APIs and integrate with internal and external systems.
Develop high-quality, reusable, and maintainable code following best practices.
Participate in architecture discussions and contribute to technical solution design.
Deploy applications across cloud and on-premise environments.
Implement CI/CD pipelines and automate deployment processes.
Identify and resolve application performance bottlenecks.
Conduct performance tuning of APIs, database queries, JVM, and application servers.
Troubleshoot and resolve production issues with minimal downtime.
Collaborate with QA, DevOps, Product Owners, and Architects.
Participate in code reviews and mentor junior developers.
Support monitoring, logging, and observability initiatives.
Prepare technical documentation and deployment runbooks.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
Required Technical Skills:
8-10 years of software engineering
Strong proficiency in Java 8/11/17Hands-on experience with Spring Boot, Spring MVC, Hibernate/JPA
Strong understanding of Microservices & Mainframe Architecture
Expertise in REST APIs and API Security
Experience with Kafka or other messaging solutions
Strong knowledge of SQL and NoSQL databases (Oracle, PostgreSQL, MongoDB, Cassandra)
Experience with Git, Maven, Jenkins
Hands-on experience in CI/CD pipelines
Experience with Docker and Kubernetes
Cloud experience on Azure, or GCP
Strong debugging and troubleshooting skills
Desired Qualifications:
Bachelor's Degree in Computer Science, Engineering, or related field
Experience working in Agile/Scrum environments
Strong communication and stakeholder management skills
Deployment & DevOps Experience:
Experience deploying applications in cloud environments
Infrastructure as Code exposure (Terraform/CloudFormation preferred)
Container orchestration using Kubernetes
Monitoring and logging implementation
Production release management and rollback strategies
Performance Optimization Skills:
JVM tuning and memory optimization
Thread dump and heap dump analysis
SQL query tuning and database performance optimization
API response time optimization
Caching strategies (Redis, Hazelcast, etc.)
Load and stress testing analysis
Observability tools such as Grafana, Prometheus, Splunk, OpenTelemetry, ELK, or Datadog
Application monitoring and performance benchmarking Retail, Supply Chain, OMS, or eCommerce experience
GraphQL
OpenSearch/Elasticsearch
Event-Driven Architecture
Azure DevOps
Temporal Workflows
Domain-Driven Design (DDD)
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