Platform Engineer, SaaS

3 - 7 years

0 Lacs

Posted:2 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

Veeam, the global market leader in data resilience, envisions that businesses should have full control over their data whenever and wherever they require it. Veeam specializes in providing data resilience solutions encompassing data backup, recovery, portability, security, and intelligence. Headquartered in Seattle, Veeam serves over 550,000 customers worldwide, who rely on Veeam to ensure the continuity of their operations. As we progress together, learning, growing, and creating a significant impact for some of the world's most renowned brands, we present you with an opportunity to be part of this journey. We are in search of a Platform Engineer to join the Veeam Data Cloud team. The primary goal of the Platform Engineering team is to furnish a secure, dependable, and user-friendly platform that facilitates the development, testing, deployment, and monitoring of the VDC product. This role offers an exceptional opportunity for an individual with expertise in cloud infrastructure and software development to contribute to the development of the most successful and advanced data protection platform globally. Your responsibilities will include: - Developing and maintaining code to automate our public cloud infrastructure, software delivery pipeline, enablement tools, and internally consumed platform services - Documenting system design, configurations, processes, and decisions to support our asynchronous, distributed team culture - Collaborating with a team of remote engineers to construct the VDC platform - Utilizing a modern technology stack comprising containers, serverless infrastructure, public cloud services, and other cutting-edge technologies in the SaaS domain - Participating in an on-call rotation for product operations Technologies you will work with include: - Kubernetes, Azure AKS, AWS EKS, Helm, Docker, Terraform, Golang, Bash, Git, and more. Qualifications we seek from you: - Minimum of 3 years of experience in production operations for a SaaS or cloud service provider - Proficiency in automating infrastructure through code using tools like Pulumi or Terraform - Familiarity with GitHub Actions and a variety of public cloud services - Background in building and supporting enterprise SaaS products - Understanding of operational excellence principles in a SaaS environment - Proficiency in scripting languages such as Bash or Python - Knowledge and experience in implementing secure design principles in the cloud - Demonstrated ability to quickly learn new technologies and implement them effectively - Strong inclination towards taking action and maintaining direct, frequent communication - A technical degree from a university Desirable qualifications: - Experience with Azure - Proficiency in high-level programming languages like Go, Java, C/C++, etc. In return, we provide: - Family Medical Insurance - Annual flexible spending allowance for health and well-being - Life insurance and personal accident insurance - Employee Assistance Program - Comprehensive leave package, including parental leave - Meal Benefit Pass, Transportation Allowance, and Monthly Daycare Allowance - Veeam Care Days - additional 24 hours for volunteering activities - Professional training and education opportunities, including courses, workshops, internal meetups, and access to online learning platforms - Mentorship through our MentorLab program Please note: Veeam reserves the right to decline applications from candidates permanently located outside India. Veeam Software is dedicated to promoting diversity and equal opportunities and prohibits discrimination based on various factors. All personal data collected during the recruitment process will be handled in accordance with our Recruiting Privacy Notice. By applying for this position, you consent to the processing of your personal data as described in our Recruiting Privacy Notice. Your application and supporting documents should accurately represent your qualifications and experience. Any misrepresentation may lead to disqualification from employment consideration or termination if discovered after employment commences.,

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