
1001 - 5000 employees
âď¸ SaaS
đ¤ B2B
SaaS ⢠B2B
SurveyMonkey is an online survey and forms platform that lets organizations and individuals build, send, and analyze surveys to collect feedback and insights. The platform offers 500+ templates, AI-assisted survey creation, a global audience panel of 335M+ respondents, analytics and integrations, and enterprise-grade features for secure, large-scale survey programs. Itâs used across customer experience, employee feedback, market research, event registration, and more; the company markets itself as a continuous insights/SaaS platform serving 260K+ organizations worldwide.
đĽ 0 minutes ago
đ¨đŚ Canada â Remote
đľ $95.2k - $137k / year
â° Full Time
đ Senior
đ Backend Engineer
đť Ghost score 0%
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1001 - 5000 employees
âď¸ SaaS
đ¤ B2B
SaaS ⢠B2B
SurveyMonkey is an online survey and forms platform that lets organizations and individuals build, send, and analyze surveys to collect feedback and insights. The platform offers 500+ templates, AI-assisted survey creation, a global audience panel of 335M+ respondents, analytics and integrations, and enterprise-grade features for secure, large-scale survey programs. Itâs used across customer experience, employee feedback, market research, event registration, and more; the company markets itself as a continuous insights/SaaS platform serving 260K+ organizations worldwide.
⢠Partner with cross-functional engineering teams to design and implement scalable, reliable data store solutions for online and analytical workloads ⢠Manage and optimize SQL Server and MySQL databases, including schema design, query tuning, replication, backup/recovery, and performance monitoring ⢠Implement and maintain data integration pipelines across heterogeneous data stores ⢠Follow and promote best practices for relational and NoSQL database design ⢠Collaborate with data engineering and data science teams to understand data challenges and deliver scalable, flexible solutions ⢠Contribute to data governance and security initiatives for the data platform ⢠Troubleshoot issues across the full stack, including hardware, software, and network ⢠Design and build automation and tooling across the software development lifecycle, including provisioning, version control, CI/CD, and deployment ⢠Work with Software Engineering teams to implement product-development solutions and write stored procedures and scripts as needed ⢠Participate in the on-call rotation as needed ⢠Research emerging technologies and recommend solutions to support SurveyMonkey's evolving data platform and strategy
⢠7+ years of experience managing high-performing databases in production environments ⢠5+ years of hands-on experience with strong SQL query skills, including complex, highly optimized queries across large datasets ⢠3+ years of hands-on experience designing, optimizing, and managing PostgreSQL databases in production environments ⢠Strong expertise in SQL Server, including clustering, high availability groups, vertical and horizontal partitioning ⢠Strong expertise in MySQL, including replication, partitioning, indexing, stored procedures, and performance tuning ⢠3+ years of experience writing and maintaining Terraform configurations to provision and manage cloud infrastructure ⢠Hands-on experience with vector databases such as Pinecone, Milvus, Qdrant, or pgvector ⢠2+ years of experience with cloud-based database solutions such as AWS RDS, Aurora, and DynamoDB ⢠Bachelor's or Master's degree in Computer Science or a related field; AWS certification is a plus ⢠Solid understanding of relational and analytical database solutions, NoSQL data stores, and data warehouse concepts ⢠Experience with ETL development and highly available database architectures in on-premises and cloud environments ⢠Experience with Windows and/or Unix systems administration ⢠Experience writing Python, Bash, PowerShell, or other scripting languages ⢠Experience with configuration management systems; Ansible is a plus ⢠Experience working with virtualized environments ⢠Experience with repeatable automation at both the OS and database level ⢠Ability to work effectively as part of a geographically dispersed team ⢠Strong communication skills and ability to present data modeling decisions clearly ⢠Must reside in a registered hiring location: Ontario or Alberta ⢠Must be legally entitled to work in Canada
⢠Bonuses may be offered as part of the total compensation package ⢠Medical insurance ⢠Dental insurance ⢠Vision insurance ⢠Life insurance ⢠Disability insurance ⢠RRSP matching ⢠Flexible spending and health savings account ⢠Paid holidays ⢠Paid time off ⢠Employee assistance program ⢠Flexible, hybrid work environment ⢠Company events ⢠CHOICE Fund programs ⢠Accommodations for applicants with disabilities
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