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Site Reliability Engineer

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Onsite

Site Reliability Engineer

Veeam

Site Reliability Engineer

Skills

TypescriptGolangJavaC#Microsoft Azure Cosmos DBGitLabBitbucketGrafanaAIAWSPrometheusGitHubKubernetesELK StackComplianceTerraformAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

$109,800 – $252,500 / year

Location:

United States

Work mode:

Onsite

Published on:

7 August 2026

What they need


  • Veeam is building a global SRE function to support the Veeam Data Cloud, our new SaaS platform. This role focuses on our Government and Sovereign Cloud environment
  • Due to clearance and access requirements, this team operates with restricted access to GOV infrastructure. That means you’ll be part of a small team responsible for the full platform stack — including all VDC workloads
  • You won’t always be able to hand off problems to other teams; you need to understand the entire architecture well enough to own it. You’ll need to get up to speed on the platform quickly, often by reading code, docs, and architecture artifacts rather than getting direct access to environments from day one
  • This is a ground-up role — you’ll help define how reliability engineering works here by mapping systems, writing runbooks, setting baselines, and building the practices this team will run on going forward
  • Discovery & Documentation:
  • Get up to speed on the full platform — all VDC workloads, dependencies, and risk areas. Much of this will happen through code, docs, and conversations rather than direct environment access
  • Work with SMEs across the org to fill knowledge gaps and build onboarding material for the team
  • Write and maintain runbooks, architecture docs, and operational guides
  • Reliability & Incident Response:
  • Design infrastructure for high availability and fault tolerance on Azure (including Azure Government)
  • Define SLIs, SLOs, and error budgets where none exist today
  • Run incident response and blameless postmortems. Turn incidents into improvements
  • Identify reliability risks across modern and legacy workloads and build practical remediation plans that work within compliance constraints
  • Observability:
  • Close observability gaps — define instrumentation requirements and drive implementation
  • Set alerting, telemetry, and monitoring standards with partner teams
  • Build automation to reduce toil and support fleet management
  • Participate in on-call rotations
  • Infrastructure & Delivery:
  • Work with IaC, CI/CD, deployment automation, and config management — including in air-gapped or compliance-restricted environments
  • Build and maintain testing, canary deployment, and release validation pipelines
  • Integrate chaos engineering and monitoring tools, adapting choices to meet regulatory requirements
  • Collaboration:
  • Work across product, platform, security, legal, compliance, and operations teams
  • Own problems end-to-end — identify gaps, drive solutions, don’t wait for direction
  • Mentor other engineers and help spread SRE practices across the org
  • Technologies we work with:
  • Microsoft TFS, Azure DevOps, Git, BitBucket
  • Azure (Entra ID, API Management, Cosmos Db, Storage services, Azure Functions, static website hosting, Azure security, etc.)
  • IaC tools (Azure ARM templates, AWS CloudFormation, Terraform, the Serverless Framework, etc.)
  • Observability (Azure Monitor, AppInsights, Elastic Stack)

Benefits

  • Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
  • Unlimited paid time off, plus 3 global VeeaMe Days for self-care
  • Medical, dental, and vision coverage from day one
  • Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
  • 401(k) retirement plan with matching contributions up to annual limits
  • Mental health support, therapy sessions, and digital wellness tools via SupportLinc EAP
  • Legal services, identity protection, and supplemental health insurance options
  • AirVet: 24/7 virtual veterinary care at no cost
  • Tax-advantaged spending accounts for healthcare, dependent care, and commuting
  • Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (LinkedIn Learning, Athena, O’Reilly) and mentoring through our MentorLab program- Experience in regulated compliance environments — government (FedRAMP, CMMC, IL2/IL4/IL5), financial (PCI-DSS, SOX), or healthcare (HIPAA, HITRUST). You understand how compliance shapes architecture and operations
  • Strong experience building and running production services on cloud infrastructure (Azure preferred, including Azure Government)
  • Comfortable working across teams — engineering, product, security, compliance, operations
  • Can investigate systems independently and produce clear docs, risk assessments, and improvement plans
  • Clear written and verbal communication skills
  • Experience with CI/CD and GitOps tooling — GitHub Actions, Azure DevOps, GitLab CI, ArgoCD, FluxCD, or Dagger
  • Experience with monitoring and observability tools (e.g., Prometheus, Grafana, OpenTelemetry, ELK stack)
  • Able to learn large, complex platforms quickly with limited guidance — comfortable building understanding from code, docs, and architecture artifacts when direct environment access is restricted
  • Experience with IaC (Terraform, Terragrunt, Pulumi) and container orchestration (Kubernetes)
  • Solid grasp of distributed systems, networking, and cloud-native architecture
  • Experience with Government or Sovereign Cloud (e.g., Azure Government, AWS GovCloud)
  • 7+ years in Software Engineering, with 3+ years in SRE, Platform Engineering, or similar — across multi-service platforms, not just single-service environments
  • Programming skills in one or more of: TypeScript/JS, Go, Java, C#, or similar
  • Experience on B2B SaaS platforms in regulated or government markets
  • Background in chaos engineering, resilience testing, or performance/load testing
  • Have built an SRE or reliability function from scratch before
  • Experience across mixed environments — modern cloud-native and older legacy systems
  • Familiar with AI-first development workflows — using LLM-powered tools for infrastructure automation, code generation, and documentation

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