Where we workUdemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Türkiye. This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays.About your skillsTechnical Architecture & System Thinking: You see beyond the present problem to identify the fundamental 'why', demonstrating strong systems thinking. You are capable of co-designing potential solutions, leading improvement projects for datastores and platform teams, and developing immutable infrastructure patterns and automation. This includes proficiency with managing Relational Databases (MySQL /PGSQL ) at scale, understanding production workloads in Kubernetes and AWS Managed Services, as well as expertise with tools like Terraform, Ansible, and Git.Coaching & Mentorship: You possess strong coaching skills, actively listening and asking diagnostic questions to effectively address issues. You are also able to provide coaching and mentorship to new hires, fostering their technical growth and integration into the team.Cross-Team Collaboration & Influencing: You develop relationships effectively across the organization, strategically using these relationships to move work forward. You can scope solutions to gain agreement and push back when necessary for the team's or business's benefit. This includes advocating for and implementing positive changes through healthy discussions and maintaining close communication with team members.Decision Making & Problem Solving: You use critical thinking to follow defined decision-making processes, considering multiple perspectives. Upon making a decision, you communicate clearly to ensure alignment in execution. You also demonstrate strong troubleshooting skills to diagnose complex database issues and participate in on-call rotations with a systematic approach to incident management.About this roleAs part of Udemy's Platform team, the Datastore Infrastructure (DSI) team is responsible for overseeing all aspects of Databases (MySQL, PGSQL, Aurora, DynamoDB), Streaming (Kafka), and Caching (Redis, Valkey, Memcache) in our infrastructure. This includes ensuring uptime, security and compliance, observability, performance, improving developers' productivity/experience and developing future growth strategies. The team is split between EU and US regions. You will play a vital role in overseeing day-to-day activities and engineering strategies of DSI, ensuring that millions of students worldwide achieve greater learning and career outcomes on Udemy. We value teamwork, a good sense of humor, strong ownership, technological curiosity, and a desire to learn.What you'll be doing Lead improvement projects for our datastores and platform teams to align with the company's long term objectives.Maintain Infrastructure Uptime, monitor performance, and ensure infrastructure continues scaling as we grow.Develop Immutable infrastructure patterns, and automate Infrastructure provisioning via Code (Terraform, Python, Golang, Ansible etc ..)Ensure adherence to PCI and ISO27001 compliance as well as SOC 2 security requirements, modifying CI/CD processes when necessary, and upholding policies and standards.Advocate for and implement positive changes in tools and processes through healthy discussions.Participate in the on-call rotation, demonstrating a systematic approach to incident management.Participate in day-to-day activities, support requests, and project-related tasks for the team.Contribute to documentation, maintain ticketing queues, provide project support, troubleshoot, and offer after-hours assistance as requiredProvide coaching and mentorship to new hires, fostering their technical growth and integration into the team. Maintain close communication with team members throughout their tenure What you'll have3-5 years of professional experience working in a Cloud Engineering team (also SRE/DBRE team) with Infrastructure responsibilities in managing large production workloads.Proficiency with managing MySQL at scale (Horizontal Scaling, sharding, InnoDB optimizations, Query Optimization, HA/DR, Monitoring, Backups Strategy, Security, Automations).Strong understanding in supporting datastores running behind Kubernetes Workloads in Production.Proficiency with tools like Terraform, Ansible, Git and how to work with Infrastructure as Code, and automated provisioning.Strong experience in Kafka/MSK cluster management, topic configuration, performance tuning, and ensuring high availability and fault tolerance..Strong Experience with Distributed Caching (Redis, Valley, Memcache) or similar products Experience in Python / GolangKnowledge of configuration management tools, monitoring systems (Datadog or similar) for database infrastructure, and scaling strategies for handling increased data volumes.Strong troubleshooting skills to diagnose complex database issues.Hands-on experience with AWS cloud infrastructure and a grasp of security best practices.Adaptability and comfort working in a fast-paced, hands-on environment.Application deadline 26 Feb 2026#LI-ST5