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

As an Site Reliability Engineer II, you will join our growing global SRE team supporting the Veeam Data Cloud. This is an early-career opportunity ideal for someone with a strong technical foundation who is eager to grow their experience in cloud infrastructure, observability, and modern reliability practices.

You will work closely with senior engineers, learning how to support production systems, automate operations, and improve service availability. With mentorship and hands-on project work, you will gain exposure to the full SRE lifecycle, from incident response to systems design.

What You’ll Do

Foundations of Reliability Engineering

• Assist in implementing and maintaining observability tooling including metrics, logs, and traces.
• Contribute to monitoring, alerting, and on-call documentation.
• Support development and maintenance of deployment and CI/CD pipelines.

Learning Through Experience

• Shadow senior engineers during incident response and participate in post-incident reviews.
• Work on scoped automation tasks to reduce toil and improve team efficiency.
• Document processes and contribute to internal runbooks and playbooks.
• Respond to customer support escalations

Team Collaboration

• Engage in technical discussions and design reviews to learn and contribute.
• Participate in sprint planning and retrospectives.
• Ask questions, seek feedback, and embrace a continuous learning mindset.

What You’ll Bring

• 1-3 years of professional experience in software or systems engineering.
• Demonstrated interest in infrastructure, automation, or cloud systems.
• Familiarity with at least one programming language (e.g., Python, Go, JavaScript).
• Foundational knowledge of Linux, networking, and cloud fundamentals.
• Strong desire to learn and collaborate in a fast-paced engineering environment.

Bonus Skills

• Exposure to public cloud services (e.g., Azure, AWS, GCP).
• Academic projects or internships involving monitoring, automation, or distributed systems.

What You’ll Get

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• 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

Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application.

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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.

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