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Senior Site Reliability Engineer (SRE)

Full-time

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.
Vacancy posted 2 days ago
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