Senior Site Reliability Engineer

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.

About the Role

Veeam 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.

As 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.

The 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.

What You’ll Do

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 that supports release decisions.

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 before they affect production

Design and improve distributed services, initially on Azure, with a focus 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. Capture incident context, document findings, track corrective actions, and implement improvements that prevent recurrence

Review code and technical designs, document significant decisions and shared components, and help colleagues adopt and maintain the systems you own

What You’ll Bring

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. You must be able 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 is sufficient; examples include GitHub Actions, GitLab CI, and 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

Bonus Skills

Experience building reusable reliability tools adopted by other engineering teams

Experience with Azure networking, cross-region failover, DNS, gateways, or service meshes

Experience with load testing and performance regression detection

Experience 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

Experience incorporating security and compliance requirements into software and delivery automation

What You’ll Get

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

#LI-TK1

Veeam 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.

Personal 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.

By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.