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.
Targeted Base Salary Range: $117,000 to $178,000
The base salary range listed above is for candidates located in the U.S., including the New York City metro area.
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 a candidate’s home base.
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 bonus or commission, Restricted Stock Units (RSUs), paid time off, generous 401k match, 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.
Top Skills
What We Do
Quona Capital is a venture capital firm that invests in financial technology companies in emerging markets. The firm was formed with a simple idea - technology has the power to radically improve the quality, access and affordability of financial services for underserved consumers and businesses in Sub-Saharan Africa, Latin America and Asia. We invest in disruptive innovations to create a more financially inclusive world.
_2.png)
.JPG)
_2.png)
