Senior Java Engineer

Location: Cebu City, Cebu

Work Setup: Onsite

Compensation Flexibility: Open to negotiation for highly qualified candidates.

KEY RESPONSIBILITIES

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  Develop, maintain, and optimize Java backend microservices and APIs using Spring Boot and Spring MVC.

  
  


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  Perform JVM performance tuning, including memory profiling, garbage collection optimization, thread dump analysis, and concurrency troubleshooting.

  
  


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  Identify and resolve application performance bottlenecks, database query issues, memory leaks, out-of-memory errors, and high CPU utilization.

  
  


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  Collaborate with IT and DevOps teams to build, maintain, and optimize Google Kubernetes Engine (GKE) infrastructure on Google Cloud Platform (GCP).

  
  


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  Manage application containerization, Kubernetes deployments, and production environment operations.

  
  


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  Implement and maintain Infrastructure as Code (IaC) and deployment configurations using Terraform, Helm, or Ansible.

  
  


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  Optimize workload scaling, resource utilization, application availability, and response times.

  
  


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  Conduct root cause analysis (RCA) of production incidents and implement preventive measures to minimize recurring issues.

  
  


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  Utilize centralized logging, distributed tracing, monitoring, and application performance monitoring tools to identify and resolve system issues.

  
  


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  Establish performance baselines, configure proactive monitoring alerts, and support system reliability initiatives.

  
  


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  Participate in CI/CD pipeline improvements and collaborate on cloud-native architecture and deployment strategies.

  
  


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  Provide production support through a structured on-call rotation for high-availability systems.

  
  

REQUIRED QUALIFICATIONS

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  At least 5 years of hands-on experience in Java backend development.

  
  


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  At least 2 years of practical DevOps experience involving Kubernetes, Docker, CI/CD, and Infrastructure as Code.

  
  


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  Strong experience with Spring Boot, Spring MVC, and microservices architecture.

  
  


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  Solid understanding of Java multithreading, concurrency, JVM internals, garbage collection, and memory profiling.

  
  


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  Proven experience troubleshooting distributed systems and resolving production performance issues.

  
  


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  Experience with relational databases and Redis, including query optimization.

  
  


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  Hands-on experience with Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE).

  
  


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  Good knowledge of Linux environments and command-line operations.

  
  


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  Familiarity with observability tools, application performance monitoring (APM), and ELK/EFK logging stacks.

  
  


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  Strong analytical, problem-solving, communication, and ownership skills.

  
  


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  Willingness to participate in on-call support.

  
  


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  Willingness and ability to work on-site in Cebu, Philippines.

  
  

PREFERRED QUALIFICATIONS

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  Practical experience with KEDA or other event-driven autoscaling solutions.

  
  


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  Experience with ClickHouse or other large-scale analytical databases (OLAP).

  
  


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  Familiarity with cloud networking, service mesh technologies, or Container Network Interface (CNI).

  
  


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  Experience designing or improving cloud-native infrastructure and deployment pipelines.

  
  


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  Experience optimizing Kubernetes workloads and production systems for scalability, reliability, and performance.

  
  

REQUIRED SKILLS & TECHNOLOGIES

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  Programming & Backend Development: Java, Spring Boot, Spring MVC, microservices, REST APIs.

  
  


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  Java Performance & Concurrency: JVM tuning, garbage collection, memory profiling, thread dumps, multithreading, concurrency, memory leak analysis.

  
  


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  Cloud Platforms: Google Cloud Platform (GCP), Google Kubernetes Engine (GKE).

  
  


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  Containers & Orchestration: Docker, Kubernetes.

  
  


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  DevOps & Infrastructure as Code: CI/CD, Terraform, Helm, Ansible.

  
  


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  Databases & Caching: Relational databases, SQL query optimization, Redis.

  
  


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  Monitoring & Observability: APM tools, centralized logging, distributed tracing, ELK/EFK stacks, monitoring alerts.

  
  


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  Operating Systems: Linux, command-line operations.

  
  


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  Preferred Technologies: KEDA, ClickHouse, cloud networking, service mesh, CNI.

  
  


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  Production Operations: Root cause analysis, incident response, performance optimization, on-call support, system reliability.