Serve as a senior technical authority for GCP platform reliability, resiliency, observability, automation, and production readiness
Design and implement advanced reliability patterns for Azure landing zones, private networking, DNS, firewalls, regional resiliency, service health checks, and workload onboarding
Lead complex platform reliability initiatives such as secondary-region readiness, egress/ingress observability, private DNS resolver monitoring, GenAI platform health checks, and enterprise dashboard automation
Define and mature SLIs, SLOs, reliability indicators, alerting standards, and service health reporting for Azure platform services
Develop reusable Terraform modules, automation frameworks, and CI/CD patterns that improve consistency, compliance, and operational quality
Drive observability improvements using Log Analytics, Dynatrace, Resource Graph, dashboards, and enterprise monitoring tools
Identify systemic reliability risks and translate them into engineering roadmaps, remediation plans, automation opportunities, and operational controls
Lead deep technical investigations for major incidents, recurring problems, platform defects, or service degradation events
Partner with security and governance teams to integrate IAM, policy-as-code, vulnerability remediation, control validation, and audit readiness into Azure platform operations
Provide technical design input for new Azure services and workloads to ensure operational readiness before production adoption
Mentor SRE engineers and raise the technical bar for automation, troubleshooting, documentation, resiliency design, and production support
Create executive-ready technical summaries, reliability narratives, and recommendations for leadership review
Establish reusable standards for runbooks, dashboards, health checks, problem records, post-incident reviews, and production-readiness gates
Design solutions to visualize key production support metrics enabling Operational Readiness and Site Reliability Engineer teams to identify scenarios requiring intervention
Develop software solutions and/or improved processes to address work identified as ‘toil’ by collaborating with key partners to identify, track and remediate processes to free time allocated to reliability
Partner with Development and Infrastructure teams to create error budget policies prioritizing reliability stories that fall below Service Level Objective (SLO) thresholds and suggests code optimizations, additional instrumentation and/or logging structures to gain service reliability visibility
Identify and plan for capacity bottlenecks, vulnerabilities and opportunities for reliability improvement, such as low level error rates and 'noise', and reduces manual support effort and/or improves system reliability
Assess monitoring for new changes with development partners and works with monitoring tools team to monitor dashboards and enhance application and system monitoring designs
Engage as a subject matter expert in incident triage efforts, failure scenario modelling and works with the Problem Manager to diagnose root causes for complex/high impact incident/problem management investigations
Collaborate with Development and Infrastructure teams to understand technical solutions and develop Service Level Indicators and SLOs to measure/improve the reliability of the services they support
Requirements
4+ years of experience in cloud infrastructure engineering, platform engineering, or cloud operations, with exposure to Google Cloud Platform (GCP)
Strong hands-on experience with Infrastructure as Code (IaC), including practical use of Terraform or Terraform Enterprise for infrastructure provisioning
Solid understanding of software engineering fundamentals, including version control, code quality, and basic testing practices for infrastructure code
Experience developing and maintaining Terraform modules and infrastructure configurations to support automated cloud environments
Familiarity with CI/CD pipelines for infrastructure deployment, including automated build, test, and release processes
Working knowledge of DevSecOps practices, including integrating security and compliance checks into automated workflows
Good understanding of GCP services and cloud architecture fundamentals, including networking (VPCs, IAM, load balancing)
Exposure to policy-as-code, governance, and compliance requirements in enterprise environments
Experience supporting automation and standardization efforts to improve consistency and efficiency in cloud deployments
Understanding of monitoring, logging, and observability tools to support system reliability and performance
Hands-on experience with incident response, troubleshooting, and root cause analysis in cloud or distributed systems.
Tech Stack
Azure
Cloud
Distributed Systems
DNS
Firewalls
Google Cloud Platform
Terraform
Benefits
This role is currently benefits eligible.
We provide industry-leading benefits.
Access to paid time off.
Resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.