Senior Software Engineer (SRE)

Maya; Mandaluyong; On-site; PHP 1,800,000 - 3,000,000; Full time

Job summary

Maya is seeking a Software Engineer specializing in Site Reliability Engineering (SRE) to design and implement reliable, scalable systems for cloud-native applications in a Kubernetes environment.

The role emphasizes automation, platform capabilities, observability, and self-healing systems to improve resilience and performance across services. A strong background in software engineering and reliability practices is required.

Qualifications

• 7+ years of experience in Software Engineering, SRE, Platform Engineering, or related fields.
• Strong programming experience in Go, Java, Python, or similar languages.
• Experience designing and building distributed systems, APIs, and microservices.
• Hands-on expertise with Kubernetes and containerized environments.
• Experience with Terraform, Infrastructure as Code, and cloud platforms (AWS, Azure, or GCP).
• Knowledge of CI/CD and GitOps tools such as GitLab CI, ArgoCD, or FluxCD.
• Experience with observability platforms such as Dynatrace, Prometheus, Grafana, Datadog, or OpenTelemetry.
• Strong understanding of high availability, resiliency, performance optimization, and incident management.
• Familiarity with cloud security and governance best practices.

Responsibilities

• Design and develop software, tools, and automation that improve platform reliability and operational efficiency.
• Build and maintain cloud-native applications and services running on Kubernetes.
• Develop self-service platforms, automation frameworks, and reliability tooling for engineering teams.
• Implement observability solutions, including monitoring, logging, tracing, and alerting.
• Define and manage SLOs, SLIs, error budgets, and reliability metrics.
• Improve system resilience through automation, incident prevention, root cause analysis, and performance optimization.
• Partner with product and engineering teams to ensure services are scalable, observable, and operationally ready.
• Contribute to CI/CD, infrastructure automation, and GitOps practices.
• Participate in incident response and drive long-term reliability improvements.

Skills

Go

Java

Python

Distributed systems

APIs

Microservices

Kubernetes

CI/CD

GitOps

Observability

Cloud platforms

IaC

Terraform

OpenTelemetry

Security best practices

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

GitLab CI

ArgoCD

FluxCD

Dynatrace

Prometheus

Grafana

Datadog

OpenTelemetry

AWS

Azure

GCP

Job description

We are looking for a Software Engineer specializing in Site Reliability Engineering (SRE) to build reliable, scalable, and highly available systems. This role combines software engineering and reliability engineering, focusing on developing automation, platform capabilities, observability solutions, and self-healing systems that improve the resilience and performance of our cloud-native applications.

The ideal candidate is a strong software engineer who can apply engineering principles to infrastructure, operations, and reliability challenges.

Key Responsibilities

• Design and develop software, tools, and automation that improve platform reliability and operational efficiency.
• Build and maintain cloud-native applications and services running on Kubernetes.
• Develop self-service platforms, automation frameworks, and reliability tooling for engineering teams.
• Implement observability solutions, including monitoring, logging, tracing, and alerting.
• Define and manage SLOs, SLIs, error budgets, and reliability metrics.
• Improve system resilience through automation, incident prevention, root cause analysis, and performance optimization.
• Partner with product and engineering teams to ensure services are scalable, observable, and operationally ready.
• Contribute to CI/CD, infrastructure automation, and GitOps practices.
• Participate in incident response and drive long-term reliability improvements.

Required Qualifications

• 7+ years of experience in Software Engineering, SRE, Platform Engineering, or related fields.
• Strong programming experience in Go, Java, Python, or similar languages.
• Experience designing and building distributed systems, APIs, and microservices.
• Hands-on expertise with Kubernetes and containerized environments.
• Experience with Terraform, Infrastructure as Code, and cloud platforms (AWS, Azure, or GCP).
• Knowledge of CI/CD and GitOps tools such as GitLab CI, ArgoCD, or FluxCD.
• Experience with observability platforms such as Dynatrace, Prometheus, Grafana, Datadog, or OpenTelemetry.
• Strong understanding of high availability, resiliency, performance optimization, and incident management.
• Familiarity with cloud security and governance best practices.