Database Engineer, DataRobot
Value-Driven AI for business
Job no longer available
Value-Driven AI for business
501-1000 employees
Job no longer available
501-1000 employees
Company mission
To change the way businesses all over the world make their most important decisions.
Role
Who you are
- Over 5+ years of experience managing large scale database systems mainly PostgreSQL and MongoDB in SaaS
- Deep knowledge and understanding of advanced PostgreSQL HA concepts, architecture and internals
- Proficient with MongoDB replication, sharding and data modeling
- 2+ years of experience using any cloud services stack such as AWS, GCP and Azure
- Experience in database reliability domain with strong grasp on database performance, scaling and tuning concepts
- Work with different domains and developers to write optimized SQL
- Automate repeatable tasks using scripting language such as bash, python and ansible
- Experience with container orchestration
- Experience with data migration services to AWS
Desirable
- Hands on experience in using version control systems, configuration management tools and IaaC
- Experience using database tools such as pgadmin, pgsql, robo3t, studio3t, MongoDB Ops Manager and Mongo mirror
What the job involves
- Datarobot is recruiting a Database Engineer who can bring in creativity, knowledge, expertise and great enthusiasm to join our Service Reliability Database team.
- This critical role is an exciting opportunity that will involve administering, automating, and troubleshooting our cloud database systems which is a critical component of our company. This role will give you a perfect opportunity to hone your skills and have exposure to a wide range of database technologies
- Design, implement and maintain database systems that are reliable, scalable and secure to support AI/ML model deployments and statistics
- Support, administer and manage production database systems by proactively monitoring performance, security and availability
- Instrument database backup and recovery process automation
- Provide thoughtful and responsive management support for database systems and application teams
- Perform upgrades to latest releases while working closely with different teams and project management
- Resolve critical issues/ deploy and maintain database clusters including configuration enhancements and database tuning
- Solve non-routine problems and determine the best practices and strategies for recurring database issues
- Collaborate with different application teams to implement database changes and make sure all issues, incidents and projects are addressed in timely manner
- Periodically review guidelines and documentation for improvements and assist in implementing standards and streamline process
- Participate in on-call database issues and incident response to address critical issues and outages
- Develop scripts and tools to automate database administration tasks
- Bring strong comprehensive problem-solving skills to identify and resolve problems
- Collaborate and work as a part of geographically dispersed team to ensure data availability, accessibility and security
Our take
DataRobot is an enterprise AI platform that helps business analysts develop predictive analytics without requiring any knowledge of programming or machine learning. The platform uses machine learning to build and distribute accurate predictive models quickly by automating users' end-to-end journeys.
Unlike its competitors, such as Domino Data Lab, Captricity, and Datameer, DataRobot's primary selling point is its extensibility. Depending on the job function or comfort level users opt for, they have the option to take complete control of their workflow. Business analysts are free to use the platform as a wizard, but more experienced data scientists have the opportunity to alter many parameters in order to develop precise models.
DataRobot's customers have developed over 500 million models on the DataRobot Cloud on AWS after it earned Amazon Web Services (AWS) ML Competency status. By selling its AI toolkits to more than a third of the Fortune 50, including Kroger, Nationwide, and Lenovo, the company has continued to go from strength to strength and has been recognised as a leader in the space.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-35% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Jun 2021
$300m
SERIES G
Dec 2020
$50m
SERIES F
Total funding: $1.1bn
Company benefits
- Medical, Dental & Vision Insurance
- Flexible Time Off Program
- Paid Holidays
- Paid Parental Leave
- Global Employee Assistance Program (EAP)
- Work from Home Opportunities
- A World-class Team
- Company Outings
- Open Door Policy
Company HQ
Financial District, Boston, MA
Leadership
Debanjan Saha
(CEO)Previously the VP of Data Analytics at Google and VP of managed database services at Amazon.
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