Java/AWS Performance Engineer
Design, develop, and optimize high-throughput, zero-downtime microservices using Java, SpringBoot, Redis, MongoDB, and Kafka. Drive the full lifecycle of applications from design to deployment, focusing on high availability, performance tuning, and robust testing. Architect and manage cloud infrastructure on AWS, including EKS cluster management, Docker containerization, and Helm chart deployments.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Hello,
Role: Java/AWS Performance Engineer (Java, AWS, Splunk, Mongo)
Location: Austin TX (Hybrid)
Amazon Web Services (AWS)
Amazon Web Services EKS (AWS EKS)
Amazon Web Services S3 (AWS S3)
Docker
Full Stack-JavaGit
GitHub
Grafana
Helm Charts
Jenkins
Kafka
Load Balancer
Maven
Mongo
DBNginx
Redis
Splunk
Platform:
- building and operating highly scalable backend services for critical platforms
- Deep backend development expertise and robust DevOps capabilities to deliver high-performance, zero-downtime systems.
Key Responsibilities:
- Design, develop, and optimize high-throughput, zero-downtime microservices using Java, SpringBoot, Redis, MongoDB, and Kafka.
- Drive the full lifecycle of applications from design to deployment, focusing on high availability, performance tuning (JVM, memory profiling), and robust testing (JUnit, TestNG).
- Architect and manage cloud infrastructure on AWS, including EKS cluster management, Docker containerization, and Helm chart deployments.
- Implement and maintain robust CI/CD pipelines with Jenkins, Maven, and Git, ensuring seamless and automated deployments.
- Configure and optimize Nginx for load balancing and traffic management, ensuring high performance and reliability.
- Leverage Splunk for comprehensive monitoring, logging, and proactive troubleshooting across the entire system stack.
- Utilize AI tools like RooCode and Claude to enhance development and operational efficiency.
- Apply sharp troubleshooting skills and real-world deployment experience to ensure system reliability and performance.
Required Skills & Experience:
- 5+ years of professional Java development experience, including 3+ years with MongoDB.
- Hands-on experience with AI tools such as RooCode and Claude.
- Proven expertise in designing and developing highly available, distributed, and scalable enterprise systems.
- Strong command of SpringBoot, Redis, Kafka, and Microservices architecture.
- Extensive experience with AWS deployments, EKS cluster management, Kubernetes, Docker, and Helm charts.
- Proficiency in CI/CD practices, including Jenkins, Maven builds, Git, and PR workflows.
- Deep understanding of Nginx, Load Balancing, HTTP specifications, and CDN.
- Experience with performance tuning (JVM, memory profiling, heap analysis) and automated testing frameworks (JUnit, TestNG).
- Familiarity with template-driven rendering, client/server MVC architectures, and Splunk for system monitoring.
- Solid grasp of the Software Development Lifecycle, Agile methodologies, and sharp troubleshooting skills.
- Self-starter with strong leadership capabilities and excellent communication skills (written and verbal) for technical and non-technical teams.
Education:
- Bachelor's or Master's degree in Computer Science or a related technical field.
Preferred Qualifications:
- Experience with Infrastructure as Code (e.g., Terraform, CloudFormation).
- AWS certifications (e.g., Solutions Architect, DevOps Engineer).
- Experience with other monitoring/alerting tools (e.g., Prometheus, Grafana).
- Familiarity with security best practices in cloud and application development
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