TL;DR

DevOps Lead / Technical Project Manager: Ensuring fast, reliable, and secure deployment of software products with an accent on infrastructure design, automation strategies, and cloud architecture. Focus on managing technical teams, defining deployment standards, and driving DevOps maturity and adoption of infrastructure-as-code principles.

Location: Hybrid work required in Plano, TX, USA

Company

%hirify_global% aims to ensure fast, reliable, and secure deployment of software products through robust DevOps and project management.

What you will do

Lead and mentor DevOps and infrastructure engineers.
Define and ensure standards for deployment pipelines, monitoring, and tooling.
Oversee production environments, ensuring system reliability and security best practices.
Lead automation efforts across build, test, and release pipelines using IaC and container orchestration.
Coordinate with development, QA, and SRE teams to optimize delivery processes and manage incidents.
Support infrastructure cost control, vendor management, and report on platform health and delivery.

Requirements

8-10 years of experience in DevOps or platform engineering roles.
Experience leading technical teams or cross-functional squads.
Strong knowledge of cloud infrastructure (AWS, Azure, GCP), automation, and delivery tooling.
Confidence managing infrastructure projects and system upgrades.
Experience defining SLAs, monitoring standards, and incident processes.
Familiarity with CI/CD pipelines, IaC, container orchestration, and scripting (Python).
Proficiency in Agile/Scrum/Kanban methodologies.

Culture & Benefits

Bridge teams across Dev, Ops, Security, and Product for shared goals.
Ensure technical strategy supports rapid, reliable releases with capabilities like A/B testing and frequent deployments.
Leverage version control and CI/CD tools such as Jenkins and GitLab.
Oversee the entire software development lifecycle, from planning to monitoring, using Agile/Lean principles.
Drive automation of repetitive tasks to reduce errors and speed delivery.
Utilize metrics for data-driven decisions, continuous improvement, and problem-solving.