Senior Site Reliability Engineer

Maya; Mandaluyong; On-site; PHP 1,800,000 - 2,400,000; Full time

Job summary

Maya in the Philippines is seeking a seasoned Site Reliability Engineer to lead architectural design and implementation of fault-tolerant, self-healing infrastructure across cloud and hybrid environments. You will own automation strategies, IaC and CI/CD frameworks, and guide reliability initiatives across multiple teams.

You will establish cloud governance, manage budgets, ensure compliance with CIS/PCI-DSS frameworks, and drive cost optimization through FinOps and policy-as-code.

Qualifications

• Expert-level Kubernetes (CRDs/Operators, multi-tenancy).
• Advanced Terraform with modules and automated testing.
• Deep Service Mesh knowledge (Istio).
• Proven IDP experience with self-service workflows.
• Advanced GitLab CI/CD and GitOps (ArgoCD/FluxCD).
• Expert security for APIs (WAF, API Gateway).
• Strong Go/Python/Java coding and review for reliability.
• Led cross-functional reliability programs across teams.
• Proficient observability with Dynatrace/Prometheus/OpenTelemetry.
• Architected microservices with high availability patterns.
• Experience with AWS Organizations and multi-account governance.
• Policy-as-code and compliance automation.
• Knowledge of CIS, Well-Architected, security standards.
• Experience with Dynatrace/Datadog/Grafana for enterprise observability.
• SLO-based alerting and burn-rate monitoring.
• Distributed tracing and log aggregation (Jaeger/Loki).

Responsibilities

• Lead architectural decisions for fault-tolerant, self-healing infra.
• Drive IaC and CI/CD initiatives to automate operations.
• Own reliability programs across multiple teams and services.
• Establish cloud governance, cost optimization, and compliance automation.

Skills

Kubernetes expertise

Terraform expertise

Service Mesh (Istio)

Internal Developer Platform (IDP)

GitLab CI/CD / GitOps (ArgoCD/FluxCD)

API gateway security

Go/Python/Java

Cross-functional leadership

Observability platforms (Dynatrace/Dat

Microservices high availability

AWS Organizations / multi-account

Policy-as-code (AWS Config/OPA)

Cloud security standards (CIS, Well-Ar

Dynatrace/Datadog/Grafana

SLO-based alerting & burn rate

Distributed tracing (Jaeger/OpenTeleg)

Log aggregation (ELK/Loki)

Custom metrics design

Tools

Kong

Apigee

AWS API Gateway

Prometheus

Grafana

Jaeger

Job description

• Lead architectural design and implementation of fault-tolerant, self-healing infrastructure across cloud and hybrid environments


• Drive organization-wide automation initiatives, eliminating manual operations through advanced IaC and CI/CD frameworks


• Own technical program leadership for reliability initiatives spanning multiple teams and services


• Strategic management of OPEX and CAPEX budgets with cost optimization accountability


• Deep expertise in compliance frameworks (CIS, PCI-DSS, BSP) with ability to architect compliant solutions


• Establish and enforce cloud governance policies, account structures, and organizational standards across AWS/Azure/GCP environments

DISPLAYED SKILL MASTERY

• Architect and implement advanced CI/CD pipelines with progressive delivery patterns (canary, blue-green)


• Design and maintain enterprise-grade Infrastructure-as-Code modules with reusability and governance


• Lead complex incident resolution and conduct deep-dive root cause analysis


• Drive adoption of emerging technologies and reliability patterns across engineering teams


• Mentor Senior SREs on architectural decisions and reliability best practices


• Design and implement cloud landing zones, multi-account strategies, and policy-as-code frameworks


• Build comprehensive SLI/SLO frameworks with automated alerting, error budget tracking, and burn rate analysis


• Correlate metrics across distributed systems using APM, distributed tracing, and custom dashboards

EXPECTED RESULTS

• Build and maintain self-service platforms enabling developer autonomy while ensuring reliability standards


• Implement chaos engineering practices and resilience testing frameworks


• Lead R&D initiatives evaluating emerging technologies for production adoption


• Define and enforce SLI/SLO frameworks across services, driving error budget policies


• Architect solutions that materially improve system availability, performance, and cost efficiency


• Conduct capacity planning and optimization initiatives across infrastructure domains


• Influence engineering decisions through architectural reviews and reliability assessments


• Enforce cloud governance through SCPs, IAM policies, resource tagging standards, and compliance automation


• Drive cloud cost optimization through FinOps practices, rightsizing, and resource lifecycle management


• Establish service health scoring systems with predictive alerting and anomaly detection


• Create self-service observability tooling enabling teams to define and monitor their own SLOs

REQUIRED QUALIFICATIONS

• Expert-level proficiency in Kubernetes (CRDs, Operators, multi-tenancy, advanced scheduling)


• Advanced Terraform expertise (custom providers, module design, automated testing)


• Deep Service Mesh knowledge (Istio traffic management, circuit breaking, rate limiting, mTLS)


• Proven experience building Internal Developer Platforms (IDP) with self-service workflows


• Advanced GitLab CI/CD and GitOps implementation (ArgoCD/FluxCD, multi-project pipelines)


• Expert-level WAF, API Gateway (Kong, Apigee, AWS APIGW), and network security implementation


• Strong software development skills in Go, Python, or Java with ability to review code for reliability impact


• Experience leading technical programs and cross-functional reliability initiatives


• Deep understanding of observability platforms (Dynatrace, Prometheus, OpenTelemetry) with custom integration experience


• Proven track record architecting microservices with high-availability and resiliency patterns


• Experience implementing AWS Organizations, Control Tower, Service Control Policies, and multi-account governance frameworks


• Proficiency in cloud policy-as-code tools (AWS Config, OPA, Sentinel) and compliance automation


• Knowledge of cloud security standards (CIS Benchmarks, AWS Well-Architected Framework, Azure/GCP best practices)


• Advanced expertise in Dynatrace, Datadog, or Grafana for building enterprise observability solutions


• Experience implementing SLO-based alerting, error budgets, and burn rate monitoring using Prometheus, Grafana, or commercial APM tools


• Proficiency in distributed tracing (Jaeger, Zipkin, OpenTelemetry) and log aggregation (ELK, Loki)


• Ability to design custom metrics, synthetic monitoring, and real user monitoring (RUM) strategies