- They have 38 production databases all Aivan, and a staging with Aivan and some SQL it seems.
- They need someone to work on day-to-day activities, replication tasks, normal stuff.
- They're looking for someone proactive and curious, who will look into issues on their own and improve things where they can.
- Break fix when needed.
- Enhancing the reliability and observability of our data systems, working in multiple technologies such as Google Cloud Platform, PostgreSQL, PgBouncer, Redis, and Datadog
- Building automation and tooling, and providing expertise, to support our developers and their fleet of PostgreSQL databases and Redis instances
- Collaborating with development teams to help them reach their goals and spread best practices throughout the engineering organization
- Ensuring system uptime and playing a critical role in system recovery
- Excellent communicator with eagerness to collaborate, exchange knowledge, and apply new skills
- Experience building and maintaining tools for internal development teams
- Keen eye for identifying and implementing database optimizations
- Experience successfully leading the execution of strategic projects
- Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time
Company
Dexperts Inc
United States of America
Location
Remote Position
(From Everywhere/No Office Location)
Job type
Full-Time
Golang Job Details
Job Details:
Job Title: SQL Data Reliability Engineer (Postgres)
Location: 100% Remote
Duration: 6 Months Contract
Description:
On a typical day, you will be working on:
What do we need from you?
Knowledge of cloud infrastructure (especially Google Cloud Platform), distributed systems, observability, and reliability best practices
Deep experience administering production databases, especially PostgreSQL
Golang or Python development experience; especially writing APIs to build, orchestrate and manage cloud infrastructure
Hands-on experience in Helm, Kubernetes workloads, and custom K8s operators to build and support self-service database infrastructure and tooling
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