Veeam, the #1 global market leader in data resilience, believes businesses should control all their data whenever and wherever they need it. Veeam provides data resilience through data backup, data recovery, data portability, data security, and data intelligence. Based in Seattle, Veeam protects over 550,000 customers worldwide who trust Veeam to keep their businesses running. Join us as we move forward together, growing, learning, and making a real impact for some of the world’s biggest brands. The future of data resilience is here - go fearlessly forward with us.
We’re looking for a Platform Engineer to join the Veeam Data Cloud. The mission of the Platform Engineering team is to provide a secure, reliable, and easy to use platform to enable our teams to build, test, deploy, and monitor the VDC product.
This is an excellent opportunity for someone with cloud infrastructure and software development experience to build the world’s most successful, modern, data protection platform.
What You'll Do- Write and maintain code to automate our public cloud infrastructure, software delivery pipeline, other enablement tools, and internally consumed platform services
- Document system design, configurations, processes, and decisions to support our async, distributed team culture
- Collaborate with a team of remote engineers to build the VDC platform
- Work with a modern technology stack based on containers, serverless infrastructure, public cloud services, and other cutting-edge technologies in the SaaS domain
- On-call rotation for product operations
- Kubernetes, Azure AKS, AWS EKS, Helm, Docker, Terraform, Golang, Bash, Git, etc.
- 7+ years of experience in production operations for a SaaS (Software as a Service) or cloud service provider
- Experience automating infrastructure through code using technologies such as Pulumi or Terraform
- Experience with GitHub Actions
- Experience with a breadth and depth of public cloud services
- Experience building and supporting enterprise SaaS products
- Understanding of the principles of operational excellence in a SaaS environment.
- Knowledge of at least one programming language (Go, Python, Java, C/C++, etc.)
- Understanding and experience implementing secure design principles in the cloud
- Demonstrated ability to learn new technologies quickly and implement those technologies in a pragmatic manner
- A strong bias toward action and direct, frequent communication
- A university degree in a technical field
- Advanced experience with Azure
- 18 paid vacation days, plus three global VeeaMe Days for self-care and 24 volunteer hours annually
- Private medical coverage for you and up to four dependents
- Life, accident, and disability insurance with enhanced coverage
- Wellbeing allowance for physical and mental wellness
- Free confidential counselling and coaching via Employee Assistance Programme (EAP)
- Meal, fuel, and transportation benefits based on work arrangement
- Daycare reimbursement and a safe cab facility for eligible employees
- Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (LinkedIn Learning, Athena, O’Reilly) and mentoring through our MentorLab program
Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application.
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
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.
