Senior DevOps Engineer
7 days ago
Job Title: Senior DevOps Engineer
Labor Category: Specialist 3
Job Location: 100% Remote
Job Type: Contract – 12 Months
Work Schedule/Hours: Normal business hours Monday-Friday 9 AM to 5 PM, 35 hours/week (not including mandatory unpaid meal break after 6 hours of work).
Pay Rate: $80 to $90 per hour
Job Description / Justification:
Provide Site Reliability engineering to all current and new automation services, write/update/maintain code, highest point of escalation, lead design sessions manage personal work as well as work of DevOps Engineers. 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.
SCOPE OF SERVICES:
TASKS: 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 Note: Candidates who do not have the mandatory skills will not be considered.
- 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 pipelining experience
- Logstash and log stash filters
- Kafka deployment and support
- NSX-T
- VMware vSphere
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