DevOps Lead

Role :: DevOps Lead

Location :: Minneapolis or Atlanta or Dallas or Charlotte

Type :: Fulltime

DevOps Lead - Shield (USB proprietary) pipeline expertise , Ansible , Terraform , Gitlab

• Design, implement, and maintain CI/CD pipelines to streamline code deployment, testing, and delivery for Gen AI and RPA projects.
• Manage cloud infrastructure (preferably AWS, GCP, or Azure) with a focus on scalability, security, and high availability.
• Automate provisioning and configuration of environments using tools such as Terraform, Ansible, or CloudFormation.
• Monitor system performance and troubleshoot issues across distributed systems to ensure 99.9% uptime and performance efficiency.
• Optimize containerization using Docker and orchestration through Kubernetes to streamline deployment and management of microservices.
• Collaborate with development teams to ensure seamless integration of DevOps practices into their workflows, aligning operations with engineering needs.
• Manage and improve infrastructure security, implementing robust monitoring and alerting systems (e.g., Prometheus, Grafana, ELK stack).
• Develop disaster recovery and backup strategies for business continuity and rapid recovery in case of failure.
• Drive performance improvements through analysis and automation of manual processes, making operations more efficient and scalable.
• Mentor and lead junior DevOps engineers, sharing best practices and fostering a culture of continuous improvement.
• 5 years of experience as a DevOps Engineer, with a focus on cloud infrastructure and automation.
• Strong hands-on experience with cloud platforms like AWS, GCP, or Azure.
• Proficiency with CI/CD pipelines using Jenkins, GitLab CI, CircleCI, or similar tools.
• Expertise in Infrastructure as Code (IaC) tools such as Terraform, Ansible, Puppet, or CloudFormation.
• Extensive knowledge of Docker and container orchestration with Kubernetes.
• Solid understanding of monitoring tools (Prometheus, Grafana, ELK stack) for performance monitoring and alerting.
• Strong experience in scripting languages (Python, Bash, or similar) for automation.
• Familiarity with version control systems such as Git and GitHub/GitLab.
• Strong knowledge of networking, security protocols, and firewall configurations to ensure the integrity and security of infrastructure.
• Experience working with distributed systems and microservice architectures.
• Ability to manage high-availability, fault-tolerant environments for mission-critical applications.
• Excellent problem-solving and troubleshooting skills.

Challenges and Opportunities:

• Lead the DevOps efforts for cutting-edge Generative AI and RPA projects, ensuring they are scalable and secure.
• Work in a fast-paced environment with a focus on automating processes and improving system performance.
• Collaborate with cross-functional teams, including AI developers, data scientists, and RPA engineers, to deliver next-gen solutions.
• Opportunity to mentor junior engineers and influence the direction of the DevOps practice within the organization.

Job Type: Full-time

Pay: $118,991.00 - $126,697.00 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance

Compensation Package:

• Yearly pay

Schedule:

• 8 hour shift

Experience:

• Azure: 1 year (Preferred)
• AWS: 1 year (Preferred)
• Kubernetes: 1 year (Preferred)

Ability to Commute:

• Dallas, TX 75230 (Preferred)

Ability to Relocate:

• Dallas, TX 75230: Relocate before starting work (Required)

Work Location: In person

Salary : $118,991 - $126,697