Software Engineer, Reliability (SRE)

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.

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 :

We are looking for a Senior Software Engineer, Reliability, you will serve as a hands-on technical leader within the SRE team, guiding senior engineers, influencing product development teams, and ensuring the systems we operate are built to be reliable, scalable, and observable from the ground up.

You will drive strategic initiatives, mentor others in the practice of SRE, and help define architectural best practices across our platform. This role is pivotal in aligning teams, enforcing high standards, and scaling SRE principles globally within Veeam.

What You’ll Do :

Reliability Engineering & Resilience :

• Design and evolve infrastructure to be highly available, fault tolerant, and scalable across public clouds (initially Azure, with future expansion plans to other providers).

• Establish and maintain SLIs, SLOs, and error budgets that define and enforce reliability objectives.

• Lead incident response, analysis, blameless postmortems, and sharing sessions in order to maximize learning across our entire engineering team and driving changes to the entire socio-technical engineering system.

Observability & Operational Excellence :

• Drive adoption of deep observability practices, ensuring telemetry, logs, metrics, and tracing are comprehensive and actionable.

• Develop automation and self-healing tools to reduce toil and support Veeam’s fleet management strategy.

• Participate in on-call rotations and lead operational excellence across the stack.

Engineering at Scale :

• Contribute to infrastructure as code (IaC), CI/CD systems, deployment automation, and scalable config management.

• Integrate and extend monitoring and chaos engineering tools to validate reliability assumptions under load and failure conditions.

• Implement testing strategies, canary deployments, and release validation pipelines to protect production environments and allow teams to safely deliver new features as quickly as possible.

Collaboration & Culture :

• Embed within product and platform teams to champion reliability from design through delivery.

• Contribute to a learning culture focused on continuous improvement and proactive risk management.

• Mentor engineers and advocate for DevOps/SRE best practices across global teams.

What You’ll Bring :

• 5+ years of hands-on experience in a Software Engineering role with at least 2 years in Site Reliability, Platform Engineering, or similar.

• Deep experience building systems on public cloud providers (Azure preferred)

• Strong programming skills in JS, Node, Typescript, Go, Java, C#, or similar.

• Proven track record in delivering monitoring, alerting, and observability tooling (e.g., Prometheus, Grafana, OpenTelemetry).

• Experience with IaC tools like Terraform/Pulumi, and container orchestration (e.g., Kubernetes).

• Solid understanding of distributed systems, cloud networking, and cloud-native system design.

• Excellent communication and collaboration skills across geographies and disciplines.

Bonus Skills :

• Experience worki…