Lead Database Administrator-5251

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.

Job Summary

Job Description

DUTIES:                               Provide technical leadership in administering databases; perform database deployment and configuration using AWS Cloud services including AWS RDS, DynamoDB, EC2, S3, and Secret Manager; manage and optimize MySQL, DynamoDB, MongoDB, and Cassandra databases; design scalable, high-performance NoSQL solutions using DynamoDB, MongoDB, and Cassandra; use Golang for backend development; build RESTful APIs and microservices with Golang (and Gin and Echo frameworks) and Python (and FastAPI and Django REST frameworks); work with NGINX, Kafka, RabbitMQ, and AWS API Gateway in microservice architectures; apply application monitoring tools including Datadog, Prometheus, Grafana, Elasticsearch, and Kibana; use Apache JMeter, Locust, and Gatling for load and stress testing; employ Go pprof and Py-Spy profiling tools; use Percona toolkit and MySQL tuner for database optimization; conduct AWS Performance Insights, EXPLAIN analysis, and query optimization; use Kubernetes metrics-server and kube-state-metrics for container and cluster-level monitoring; develop and maintain infrastructure and databases using Terraform and AWS CloudFormation; use configuration management tools including Ansible; program and script using Python, Golang, and Shell scripts; work with AWS DMS cloud services; deploy database services and auxiliary tools with Docker and Kubernetes; build CI/CD pipelines in an Agile environment using Jenkins, GitHub, GitLab (including GitLab CI), GitHub Actions, AWS CodePipeline, Docker, and Kubernetes; set up and manage monitoring and alerting systems using Prometheus, Grafana, and AWS CloudWatch; oversee the development and implementation of databases that address current and future business needs; ensure the maintenance of hardware platforms to perform at optimum response, capacity planning, and implementation of new databases due to conversion; oversee the database administration functions, and ensure smooth transition to new technology; lead a task force to develop and implement a database that addresses current and future business needs; maintain hardware platforms to perform at optimum response; maintain capacity planning and implement new databases due to conversions; develop and implement complex data models and logical database designs; oversee the design/tune, and maintain and support database systems for high available, high-volume internet applications; manage and test backup and recovery plans and improve disaster recovery plans; develop and implement plans to oversee the database administration function and ensure smooth transition to new technology; provide recommendations on database technologies and features; communicate and understand impact of database changes and status to affected parties and design appropriate solutions; provide updates in database technologies and trends; develop database technology standards and associated documentation; work with the network and security teams to ensure database adherence to security standards; and guide and mentor junior-level engineers. Position is eligible to work remotely one or more days per week, per company policy.

REQUIREMENTS:             Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering, or related technical field, and seven (7) years of experience administering databases; designing scalable, high-performance NoSQL solutions using DynamoDB, MongoDB, and Cassandra; applying application monitoring tools including Datadog, Prometheus, Grafana, Elasticsearch, and Kibana; using Percona toolkit and MySQL tuner for database optimization; conducting AWS Performance Insights, EXPLAIN analysis, and query optimization; developing and maintaining infrastructure and databases using Terraform and AWS CloudFormation; using configuration management tools including Ansible or any other configuration tool; of which five (5) years include performing database deployment and configuration using AWS Cloud services including AWS RDS, DynamoDB, EC2, S3, and Secret Manager; managing and optimizing MySQL, DynamoDB, MongoDB, and Cassandra databases; working with AWS DMS cloud services; setting up and managing monitoring and alerting systems using Prometheus, Grafana, and AWS CloudWatch; of which two (2) years include using Golang for backend development; building RESTful APIs and microservices with Golang (and Gin and Echo frameworks) or Python (and FastAPI and Django REST frameworks); using Apache JMeter, Locust, and Gatling for load and stress testing; employing Go pprof and Py-Spy profiling tools; using Kubernetes metrics-server and kube-state-metrics for container and cluster-level monitoring; programming and scripting using Python, Golang, and Shell scripts; and deploying database services and auxiliary tools with Docker and Kubernetes.

Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

SkillsDatadog, MongoDB, NoSQL

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