Site Reliability Engineer

V2 Solutions; Hinoba-an; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

V2 Solutions is seeking an experienced Site Reliability Engineer to own the reliability of production systems. You will work with Kubernetes, Java microservices, and SQL databases to ensure availability, performance, and scalability.

You will implement monitoring with Datadog and Prometheus, define SLIs/SLOs, and participate in on-call rotations. Collaboration across Dev, Infra, Security, and Business teams is essential.

Qualifications

• 5+ years in IT with SRE/DevOps or production support.
• Hands-on Kubernetes and containerized apps experience.
• Datadog and/or Prometheus monitoring experience.
• Java/J2EE microservices in production; strong SQL knowledge.
• REST APIs, Linux, CI/CD, and scripting skills.

Responsibilities

• Own reliability and health of production applications and services.
• Provide L2/L3 production support, incident triage, and RCA communication.
• Monitor apps on Kubernetes, including pods, deployments, services, and scaling.
• Implement and maintain monitoring dashboards, metrics, logs, and alerts.
• Define SLIs/SLOs/SLAs and runbooks; drive MTTR improvements.
• Troubleshoot across Java apps, APIs, and databases; data issue analysis.
• Collaborate with Development, Infra, DevOps, Security, and Business teams.

Skills

Kubernetes

Datadog/Prometheus monitoring

Java/J2EE microservices

SQL relational databases

Incident management

CI/CD pipelines

Shell scripting

Linux/Unix

Observability

Tools

Datadog

Prometheus

Kubernetes

ELK/OpenSearch/Splunk

Docker

GitLab CI/CD

Job description

Job Summary

We are looking for an experienced Site Reliability Engineer (SRE) with a strong background in Kubernetes, production support, observability, SQL, and Java-based applications . The role will focus on ensuring the availability, reliability, scalability, and performance of business-critical production systems . The ideal candidate will combine strong application troubleshooting skills with SRE and DevOps practices, using Datadog and/or Prometheus for monitoring and observability and Kubernetes for managing containerized workloads. A strong understanding of Java applications and relational databases/SQL is essential for diagnosing issues across application, infrastructure, and data layers.

Responsibilities

Own the reliability, availability, and operational health of business-critical production applications and services. Provide L2/L3 production support , including incident triage, troubleshooting, resolution, and stakeholder communication. Monitor and support applications deployed on Kubernetes , including pods, deployments, services, ingress, resource utilization, scaling, and cluster-related issues. Implement and maintain application and infrastructure monitoring using Datadog, Prometheus, dashboards, metrics, logs, and alerts . Define and monitor SLIs, SLOs, SLAs, error budgets, and service-health indicators for critical applications. Troubleshoot production issues across Java applications, APIs, microservices, Kubernetes, databases, and infrastructure . Analyze Java application logs, exceptions, JVM performance, memory utilization, thread behavior, and garbage collection to identify performance and reliability issues. Use SQL to investigate production incidents, validate data, identify data-related issues, and perform application-level troubleshooting. Participate in incident management, major incident calls, root-cause analysis (RCA), and post-incident reviews . Identify recurring production issues and drive permanent remediation through automation and engineering improvements. Build and enhance monitoring dashboards, alerting mechanisms, and operational runbooks to improve early detection and reduce recovery time. Drive improvements in MTTR, availability, performance, capacity, and production stability . Automate repetitive operational activities using scripting and appropriate DevOps/SRE tooling. Support application releases, production deployments, rollback activities, and post-deployment validation. Work closely with Development, Infrastructure, DevOps, Database, Security, and Business teams to ensure production readiness. Participate in on-call and production support rotations as required.

Required Skills & Experience

5+ years of overall IT experience , with significant experience in SRE, Production Support, Application Support, or DevOps roles. Strong hands-on experience with Kubernetes and containerized applications. Experience with Datadog and/or Prometheus for monitoring, alerting, metrics, and observability. Strong experience supporting Java/J2EE or Java-based microservices applications in production. Good understanding of JVM troubleshooting , application logs, memory, threads, garbage collection, and performance issues. Strong SQL skills with experience troubleshooting relational databases and application data issues. Experience managing P1/P2 production incidents , including incident coordination, RCA, and problem management. Good understanding of REST APIs, microservices, distributed systems, and application integration patterns . Experience with Linux/Unix environments and shell scripting. Understanding of CI/CD pipelines, release management, and deployment practices . Strong analytical and troubleshooting skills with the ability to diagnose issues across multiple technology layers.

Preferred Skills

Experience with cloud platforms such as AWS/ Azure . Familiarity with Docker, Helm, GitLab/GitHub Actions , or similar DevOps tooling. Experience with centralized logging platforms such as ELK/OpenSearch or Splunk . Exposure to Infrastructure as Code tools such as Ansible/ Terraform . Understanding of load balancing, networking, DNS, certificates, and application security. Experience implementing automation to reduce manual operational effort and production toil . Familiarity with ITIL processes including Incident, Problem, and Change Management.

Key SRE Competencies

Production Reliability: Ability to maintain highly available and resilient production services. Observability: Strong understanding of metrics, logs, traces, dashboards, and actionable alerting. Incident Management: Ability to rapidly diagnose and restore services during critical incidents. Problem Management: Strong RCA skills with focus on permanent remediation rather than repeated tactical fixes. Automation: Ability to identify and automate repetitive production-support activities. Performance Engineering: Ability to identify bottlenecks across Java applications, Kubernetes, and databases. Stakeholder Management: Ability to communicate clearly during incidents and work effectively across engineering and business teams.