DevOps Engineer

Siddha AI; McKinney, Northern (TX, KY); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Siddha AI is seeking a DevOps Engineer to bridge development and operations, ensuring scalable, reliable deployments across our enterprise applications in a fast-paced environment. You will optimize build and release pipelines, monitor systems, and contribute to design decisions that impact overall reliability.

Responsibilities include designing and maintaining CI/CD pipelines, managing cloud infrastructure across AWS/GCP/Azure, and implementing Infrastructure as Code.

Qualifications

• Proven experience as DevOps Engineer or Site Reliability Engineer.
• Hands-on cloud experience with AWS, GCP, or Azure.
• Proficiency with containerization (Docker) and orchestration (Kubernetes).
• Strong scripting skills in Python and Bash and modern CI/CD practices.

Responsibilities

• Design, implement, and maintain robust CI/CD pipelines.
• Manage, monitor, and scale cloud infrastructure.
• Automate infrastructure provisioning and configuration with IaC.
• Collaborate with engineering teams to improve performance, security, and reliability.

Skills

DevOps experience

SRE mindset

CI/CD expertise

Scripting (Python, Bash)

Tools

Docker

Kubernetes

AWS

GCP

Azure

Job description

Full-Time

About the Role

We are seeking a skilled DevOps Engineer to bridge the gap between our development and operations teams. You will be responsible for automating our deployment pipelines, managing cloud infrastructure, and ensuring the reliability and scalability of our enterprise applications.

What You'll Do

• Design, implement, and maintain robust CI/CD pipelines.
• Manage, monitor, and scale cloud infrastructure.
• Automate infrastructure provisioning and configuration management (Infrastructure as Code).
• Collaborate with engineering teams to optimize system performance, security, and reliability.

Requirements

• Proven experience as a DevOps Engineer, Site Reliability Engineer, or similar role.
• Hands-on experience with cloud platforms (AWS, GCP, or Azure).
• Proficiency with containerization and orchestration (Docker, Kubernetes).
• Strong scripting skills (Python, Bash) and deep knowledge of modern CI/CD practices.