Lead DevOps Engineer

Tek Spikes•Dallas, TX

17d•Onsite

About The Position

We are looking for a Lead DevOps Engineer (10+ years experience) to drive platform automation, cloud infrastructure engineering, and CI/CD modernization for large-scale enterprise applications. The ideal candidate will have deep hands-on DevOps expertise, strong cloud experience, and a proven track record leading teams, implementing DevOps best practices, and delivering scalable environments. This is an onsite role in Dallas, TX and requires candidates who are already local to Texas and comfortable with in-person interviews .

Requirements

10+ years of experience in DevOps, Cloud Engineering, or SRE roles.
Proven Lead-level experience driving DevOps initiatives and leading teams.
Strong hands-on skills with:
Cloud: AWS, Azure, or GCP
CI/CD: Jenkins, GitHub Actions, GitLab CI, Azure DevOps
Containers: Docker, Kubernetes
IaC: Terraform, CloudFormation, Ansible
Scripting: Python, Bash, Shell
Strong understanding of cloud networking, security, scalability, and automation.
Experience supporting large-scale distributed systems and microservices.
Excellent communication, leadership, and collaboration skills.

Nice To Haves

Experience with service mesh (Istio, Linkerd).
Experience in enterprise, financial, healthcare, or telecom environments.
Cloud certifications (AWS DevOps, CKA/CKAD, Azure DevOps) preferred but not required.

Responsibilities

Lead strategy, architecture, and execution of DevOps initiatives across multiple application teams.
Design, implement, and optimize enterprise-grade CI/CD pipelines end-to-end.
Architect and manage highly available cloud infrastructure on AWS / Azure / GCP (customizable).
Drive automation for builds, deployments, testing, monitoring, and security.
Implement and maintain Infrastructure as Code using Terraform, CloudFormation, or similar tools.
Oversee containerization and orchestration with Docker and Kubernetes (EKS/AKS/GKE) .
Collaborate with dev, QA, and architecture teams to enhance release velocity and stability.
Establish monitoring, logging, and observability using Prometheus, Grafana, ELK, Splunk, Datadog , etc.
Manage production issues, identify root causes, and enforce system reliability best practices.
Mentor and guide junior and mid-level DevOps engineers in best practices and technical decisions.