
501 - 1000 employees
Founded 2012
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
DataRobot is a company that provides an AI platform and applications designed to integrate into core business processes. The company offers Enterprise AI Suite, AI Apps, and AI Platform services, which include Generative AI, Predictive AI, AI Governance, and AI Observability. DataRobot aims to help businesses develop, deliver, and govern AI solutions at scale, supporting industries such as energy, financial services, healthcare, manufacturing, and the public sector. With a focus on maximizing business impact and minimizing risk, DataRobot provides solutions that expedite deployment and secure numerous predictions each day.
🕒 January 28
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501 - 1000 employees
Founded 2012
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
DataRobot is a company that provides an AI platform and applications designed to integrate into core business processes. The company offers Enterprise AI Suite, AI Apps, and AI Platform services, which include Generative AI, Predictive AI, AI Governance, and AI Observability. DataRobot aims to help businesses develop, deliver, and govern AI solutions at scale, supporting industries such as energy, financial services, healthcare, manufacturing, and the public sector. With a focus on maximizing business impact and minimizing risk, DataRobot provides solutions that expedite deployment and secure numerous predictions each day.
• Design, implement, and maintain database infrastructure using StatefulSets, Operators, and Helm charts to ensure databases are reliable, self-healing, and scalable. • Own the deployment lifecycle for database clusters by managing version control for Helm charts and configuration templates. • Support and administer production database systems by proactively instrumenting and monitoring performance, security, and availability within the containerized environment. • Perform zero-downtime upgrades and migrations for major and minor releases, developing and maintaining Helm hooks and custom scripts to automate complex stateful operations. • Manage and optimize performance for backend data stores, ensuring data consistency and integrity across pod life cycles. • Develop and maintain automation tools and scripts (Bash, Python) specifically focused on simplifying Kubernetes management tasks, such as provisioning users/secrets and monitoring cluster state.
• 4+ years of experience managing large-scale, high-availability database systems (PostgreSQL / MongoDB) • Python or Bash automation scripting • Nice to have: Experience with Kubernetes & Helm • Experience with advanced PostgreSQL HA concepts (e.g., streaming replication, Repmgr/Patroni) and/or MongoDB sharding and replication • Experience with AWS, GCP, or Azure • Experience in using version control systems, configuration management tools and IaaC such as Terraform, CloudFormation • Experience using database tools such as pgAdmin, Pgbench, Robo3t, Studio3t, MongoDB Ops Manager and Mongo mirror • Experience with prometheus, cloudwatch and monitoring tools both within kubernetes and external cloud managed infrastructure
• Medical, Dental & Vision Insurance • Flexible Time Off Program • Paid Holidays • Paid Parental Leave • Global Employee Assistance Program (EAP) and more!
Apply Now🕒 January 26
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Spring
Spring Boot
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Docker
Kafka
Linux
Laravel
MySQL
PHP
Postgres
RabbitMQ
Redis
Symfony
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Microservices
Spring
Spring Boot
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AWS
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Docker
Google Cloud Platform
NoSQL
SQL
Unity
.NET