We seek an experienced Sr. Data Engineer to manage and optimize our vector databases and data stores, such as Elastic Search and AWS OpenSearch. The ideal candidate will have a strong background in cloud platforms and SRE principles and experience leading data infrastructure migrations. This role is critical in maintaining our data systems' reliability, performance, and scalability. What you'll do:
- Manage and maintain vector databases and data stores, including Elastic Search and AWS OpenSearch.
- Lead the migration of data infrastructure to modern, scalable solutions.
- Ensure the reliability, performance, and scalability of data infrastructure.
- Implement and manage cloud-based solutions, leveraging AWS, Azure, or Google Cloud platforms.
- Apply Site Reliability Engineering (SRE) practices to maintain and improve system availability and performance.
- Collaborate with cross-functional teams to understand data needs and provide robust data solutions.
- Monitor and optimize data storage and retrieval processes.
- Troubleshoot and resolve issues related to data infrastructure.
- Develop and maintain documentation for data systems and processes.
Skills and knowledge you should possess:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience managing vector databases and data stores, including Elastic Search and AWS OpenSearch.
- Strong knowledge of cloud platforms (AWS, Azure, Google Cloud).
- Experience with Site Reliability Engineering (SRE) practices.
- Proven experience leading data infrastructure migrations.
- Excellent problem-solving skills and the ability to troubleshoot complex issues.
- Strong understanding of data architecture and data management best practices.
- Excellent communication skills and the ability to collaborate with cross-functional teams.
Bonus points (nice skills to have, but not needed):
- Master's degree in Computer Science, Engineering, or a related field.
- Experience with other data stores and databases.
- Certification in cloud platforms (AWS, Azure, Google Cloud).
- Experience with automation tools and scripting languages.
Base Salary Range:
- NYC Metro, Bay Area, Seattle, & Los Angeles: $130,000 - $178,000
- All other US cities outside above metro areas: $117,000 - $160,200
At Vimeo, we strive to hire and nurture amazing talent across the globe. Actual salaries will vary depending on factors including but not limited to experience, specialized skills, internal alignment, and location. Base salary is just one component of Vimeo's total rewards philosophy. We offer a wide range of benefits and perks that appeal to the variety of needs across our diverse employee base! Other rewards may include variable compensation and Restricted Stock Units (RSUs). We also offer paid time off, generous 401k match, commuter benefits, Health Savings Account (HSA), Flexible Spending Account (FSA), fertility reimbursement, group term life insurances, wellbeing resources, and more. #LI-MM1 About Us: Vimeo (NASDAQ: VMEO) is the world's most innovative video experience platform. We enable anyone to create high-quality video experiences to better connect and bring ideas to life. We proudly serve our community of millions of users - from creative storytellers to globally distributed teams at the world's largest companies - whose videos receive billions of views each month. Learn more at www.vimeo.com. Vimeo is headquartered in New York City with offices around the world. At Vimeo, we believe our impact is greatest when our workforce of passionate, dedicated people, represents our diverse and global community. We're proud to be an equal opportunity employer where diversity, equity, and inclusion is championed in how we build our products, develop our leaders, and strengthen our culture.