Senior Site Reliability Engineer

Veeam Software

. Own specific services, tools, or components from design through production operation .

Posted 11/11/2026full-timeRemote • CzechiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and shipping production-ready reliability software, particularly using AI coding agents, while ensuring high-quality distributed systems and effective incident management. Proficient in utilizing metrics, logs, and traces for diagnosing issues and guiding engineering decisions.

Highest-signal resume keywords

Software Engineering ExperienceAI Coding AgentsKubernetesInfrastructure As CodeDistributed Systems Design

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

GoTypeScriptNode.jsC#JavaTerraformCI/CDTelemetry PipelinesService Level IndicatorsError Budgets

Soft Skills

Problem-SolvingCommunicationIncident ManagementCollaborationDecision-Making

Tools & Technologies

GitHub ActionsGitLab CIArgo CDAutomated TestingDeployment Pipelines

Industry Keywords

Cloud-Based ProductsProduction ReadinessFailure RecoveryGraceful DegradationLoad Management

Tech Stack

Tools & technologies

AzureCloudDistributed SystemsJavaJavaScriptKubernetesNode.jsTerraformTypeScriptGo

About the role

Key responsibilities & impact

Own specific services, tools, or components from design through production operation
Build and ship production-ready reliability software using AI coding agents
Break down problems, define requirements and acceptance criteria, guide implementation, review generated code, and validate changes through comprehensive testing
Develop reusable libraries, services, controllers, Kubernetes components, infrastructure modules, and service templates for deployment checks, rate limiting, circuit breaking, and load management
Build observability capabilities, including telemetry pipelines for metrics, logs, and traces, as well as SLIs, SLOs, and error-budget tooling
Design and implement safe-release capabilities, including canary deployments, automated checks, rollback mechanisms, and delivery-pipeline integrations
Create fault-injection, failure-recovery, and load tests to identify resilience and performance issues
Design and improve distributed services, initially on Azure, focusing on failure modes, graceful degradation, recovery, API quality, and production readiness
Use metrics, logs, and traces to diagnose issues, validate releases, and keep alerts relevant and actionable
Respond to and lead incidents during assigned coverage; document findings, track corrective actions, and implement preventive improvements
Review code and technical designs, document significant decisions and shared components, and help colleagues adopt and maintain owned systems
Work with Staff engineers and product teams to turn operational problems into lasting improvements in software and systems

Requirements

What you’ll need

4+ years of software engineering experience for cloud-based products, including delivering changes to production and diagnosing problems in running services
Practical experience delivering software with AI coding agents: breaking down work, providing context and constraints, guiding implementation, reviewing changes, and verifying behavior through tests and production telemetry
Ability to explain, debug, and modify production code in at least one backend language, such as Go, TypeScript/Node.js, C#, or Java
Ability to recognize incorrect or incomplete generated code and take responsibility for the final implementation
Experience designing or operating distributed systems, with an understanding of timeouts, retries, dependency failures, and recovery behavior
Hands-on experience with Kubernetes, infrastructure as code using Terraform, and automated build, test, and deployment pipelines
Experience with one CI/CD platform, such as GitHub Actions, GitLab CI, or Argo CD
Experience using metrics, logs, and traces to investigate service behavior and using SLOs or error budgets to guide engineering decisions
Ability to independently deliver an agreed improvement, communicate trade-offs, coordinate dependencies, and identify when a decision needs broader architectural input
Ability to participate in the regional on-call coverage arrangements

Benefits

Comp & perks

25 vacation days, 4 sick days, 21 paid medical leave days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
Premium private medical insurance for employees and dependents
Daily meal vouchers for restaurants and groceries (180 CZK per working day)
Flexible cafeteria platform with thousands of lifestyle benefit options
Multisport Card for gym and wellness, with family add-on options
Annual public transport reimbursement up to a set limit
Corporate mobile plan with optional family tariff
Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning