Offer summary

Qualifications:

12+ years of experience in DevOps platform engineering or a related field., Expertise in writing infrastructure-as-code (IaC) using Terraform, including module development and state management., Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP)., Familiarity with Kubernetes, JFrog Artifactory, and ELK Stack..

Key responsabilities:

Ensure the stability, scalability, and security of platforms.

Configure HA JFrog High Availability and resolve IaC drift for Elasticsearch.

Perform general platform engineering work including code updates, service deployments, and bug fixes.

Support agency growth and technology transformation initiatives.

Job description

This is a remote position.

Job Location: New York, NY 10038, Remote.

Job Description:

The Senior DevOps Engineer role is critical to ensuring the stability, scalability, and security of our platforms. The role will enable us to improve platform reliability and uptime, increase efficiency and reduce manual errors and support agency growth and technology transformation initiatives.

• Configure the HA JFrog High Availability, mirror Elastic non-prod with production including any authentication issues, resolve IaC drift for Elasticsearch (non-prod, & prod), & JFrog, perform general platform engineering work: Code updates, platform service updates, new service deployments, bug fixes, feature delivery

MANDATORY SKILLS/EXPERIENCE:

• 12+ years of experience in DevOps platform engineering or related field.

• Expertise in writing infrastructure-as-code (IaC) using Terraform, including module development and state management.

• Experience with AWS, Azure, or Google Cloud Platform (GCP), infrastructure services including virtual networks, storage, and compute resources.

• Experience with Kubernetes containerization and orchestration -Familiarity with JFrog Artifactory and HA configurations, ELK Stack (Elasticsearch, Logstash, Kibana).

• Experience with automation tools such as Ansible.

DESIRABLE SKILLS/EXPERIENCE:

• - OpenShift

• - Elasticsearch

• - Ansible Automation Platform

• - Azure Kubernetes service

• - azure storage

• - azure networking

• - Project management

• - data processing and data pipe lining experience

• - Log-stash and log stash filters

• - Kafka deployment and support