{"id":4015027,"url":"https://alion.io/job/veeam-software-senior-site-reliability-engineer-3","title":"Senior Site Reliability Engineer","company":{"id":2260,"name":"Veeam Software","domain":"veeam.com","url":"https://alion.io/company/veeam-software","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":31,"ghost_share":0,"stale_share":0.742,"repost_share":0.032,"time_to_fill_p50_days":45,"computed_at":"2026-11-10T06:52:35Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ArgoCD","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Node JS","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"DNS","optional":true},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-11-10T10:35:32Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T12:13:34Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.\nAbout the Role\nVeeam Data Cloud provides cloud-based data protection. Our Site Reliability Engineering team uses software, telemetry, and systems engineering to improve service reliability and make product changes safer to deliver.\nAs a Senior Software Engineer, Reliability, you will own specific services, tools, or components from design through production operation. You will use AI coding agents as part of the development workflow and apply your engineering judgment to the design, correctness, and reliability of the result.\nThe role combines planned software development with troubleshooting, maintenance, and incident response. You will work with Staff engineers and product teams to turn operational problems into lasting improvements in software and systems.\nWhat You’ll Do\nBuild 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\nDevelop reusable libraries, services, controllers, Kubernetes components, infrastructure modules, and service templates for deployment checks, rate limiting, circuit breaking, and load management\nBuild observability capabilities, including telemetry pipelines for metrics, logs, and traces, as well as SLIs, SLOs, and error-budget tooling that supports release decisions.\nDesign and implement safe-release capabilities, including canary deployments, automated checks, rollback mechanisms, and delivery-pipeline integrations\nCreate fault-injection, failure-recovery, and load tests to identify resilience and performance issues before they affect production\nDesign and improve distributed services, initially on Azure, with a focus on failure modes, graceful degradation, recovery, API quality, and production readiness\nUse metrics, logs, and traces to diagnose issues, validate releases, and keep alerts relevant and actionable\nRespond to and lead incidents during assigned coverage. Capture incident context, document findings, track corrective actions, and implement improvements that prevent recurrence\nReview code and technical designs, document significant decisions and shared components, and help colleagues adopt and maintain the systems you own\nWhat You’ll Bring\n4+ years of software engineering experience for cloud-based products, including delivering changes to production and diagnosing problems in running services\nPractical 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\nAbility to explain, debug, and modify production code in at least one backend language, such as Go, TypeScript/Node.js, C#, or Java. You must be able to recognize incorrect or incomplete generated code and take responsibility for the final implementation\nExperience designing or operating distributed systems, with an understanding of timeouts, retries, dependency failures, and recovery behavior\nHands-on experience with Kubernetes, infrastructure as code using Terraform, and automated build, test, and deployment pipelines. Experience with one CI/CD platform is sufficient; examples include GitHub Actions, GitLab CI, and Argo CD\nExperience using metrics, logs, and traces to investigate service behavior and using SLOs or error budgets to guide engineering decisions\nAbility to independently deliver an agreed improvement, communicate trade-offs, coordinate dependencies, and identify when a decision needs broader architectural input\nAbility to participate in the regional on-call coverage arrangements\nBonus Skills\nExperience building reusable reliability tools adopted by other engineering teams\nExperience with Azure networking, cross-region failover, DNS, gateways, or service meshes\nExperience with load testing and performance regression detection\nExperience reducing cloud costs and understanding their contribution to cost of goods sold (COGS). Ability to evaluate cost implications during architecture and capacity planning, including cross-region data transfer costs, while balancing reliability and performance\nExperience incorporating security and compliance requirements into software and delivery automation\nWhat You’ll Get \n26 paid days off annually, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares\nPaid parental, maternity, and paternity leave\nFully covered family medical plan, dental, rehab, and vaccinations\nLife, critical illness, and disability insurance\nEmployer pension contribution via PPK\nMonthly Edenred allowance of 450 PLN for meals\nMultiSport card fully covered by Veeam, giving access to sports facilities nationwide\nUp to 12 free therapy sessions annually, plus legal and financial advice\nOpportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning\nVeeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.\nPersonal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing. \nBy submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. 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