Senior Site Reliability Engineer (SRE)
Siri Info Solutions Inc
Position: Senior Site Reliability Engineer (SRE)
Location: Redmond WA (Onsite)
Duration: Fulltime
Job Description
- We are seeking a highly skilled and hands-on Senior Site Reliability Engineer (SRE) to design, build, automate, and operate mission-critical Azure-based production platforms. This role requires a strong combination of cloud architecture, software engineering, platform operations, automation, observability, and AI-driven engineering practices.
- The ideal candidate is a smart, highly motivated engineer with 7-8 years of experience who has successfully taken cloud platforms from concept through production deployment and ongoing operations at enterprise scale.
Key Responsibilities
- Design, build, deploy, and operate highly available, secure, and scalable Azure platforms.
- Architect production-grade cloud solutions leveraging Azure Kubernetes Service (AKS), App Services, Azure SQL, Azure Batch, Azure Storage, and Azure Data Explorer (Kusto).
- Create end-to-end system architecture, deployment topology, application flow, and network diagrams.
- Own platform reliability, scalability, security, disaster recovery, and operational excellence.
- Develop Infrastructure as Code (IaC) using Bicep and automate platform provisioning.
- Implement comprehensive observability solutions covering monitoring, logging, distributed tracing, alerting, dashboards, and incident response.
- Drive platform engineering best practices including CI/CD, GitOps, automated testing, release management, and operational readiness.
- Develop production-quality tools, services, and automation using C#, PowerShell, and Bicep.
- Partner with development teams to improve platform reliability, performance, security, and developer productivity.
- Leverage AI-assisted engineering practices to accelerate solution development from rapid proof-of-concepts to enterprise-scale production deployments.
Required Technical Skills
- Azure Platform Expertise
- Strong hands-on experience designing, deploying, and operating:
- Azure Kubernetes Service (AKS/ACA)
- Azure App Services / Web Apps
- Azure SQL Database
- Azure Data Explorer (Kusto)
- Azure Batch
- Azure Storage Services
- Azure Networking
- Azure Entra ID
- Azure Monitor
- Log Analytics
- Infrastructure
- Architecture
- End-to-end system design
- Distributed systems architecture
- High availability and disaster recovery
- Network design and connectivity patterns
- Application and data flow modeling
- Production readiness reviews
- Infrastructure as Code
- Expert-level Bicep experience
- ARM templates (preferred)
- GitOps principles
- Observability
- Azure Monitor
- Application Insights
- Log Analytics
- Kusto Query Language (KQL)
- Distributed tracing
- Incident detection and response
- Reliability engineering metrics
- Software Engineering
- Ability to write production-ready code in:
- C# or PowerShell
- Bicep
Experience with:
- APIs and microservices
- CI/CD pipelines
- Source control best practices
- Automated testing
- AI-Native Expectations
- The successful candidate must be a native AI adopter who routinely leverages:
- GitHub Copilot
- Azure AI services
- Agent-based workflows
- AI-assisted code generation
- AI-powered operational analysis
Must demonstrate the ability to:
- Rapidly develop POCs using AI tooling.
- Mature POCs into secure, scalable production services.
- Use AI to improve engineering productivity and operational efficiency.
- Preferred Qualifications
- Experience supporting Tier-0 or Tier-1 business-critical services.
- Experience with SRE practices including SLIs, SLOs, error budgets, and incident management.
- Exposure to enterprise platform engineering organizations.
- Experience leading technical execution across multiple engineering teams.
- Success Profile
We are looking for a high-energy engineer who can:
- Think architecturally.
- Build pragmatically.
- Automate relentlessly.
- Operate confidently in production.
- Use AI effectively to accelerate outcomes.
- Influence without authority and drive platform excellence across teams.
$149.4k - $202k
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