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Incedo Inc.

DevOps Architect

Incedo Inc., Dallas, Texas, United States, 75215

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Direct message the job poster from Incedo Inc. We are looking for an experienced

DevOps Architect

to lead the design, implementation, and optimization of enterprise-scale DevOps solutions. The ideal candidate will have deep expertise in cloud platforms, CI/CD automation, container orchestration, and infrastructure-as-code. This role will partner with development, operations, and security teams to define DevOps strategies, ensure scalability, and establish best practices for modern application delivery. Responsibilities

Define and own the

overall DevOps architecture and roadmap

for enterprise applications. Architect and implement

CI/CD pipelines

supporting microservices and cloud-native applications. Design and manage

infrastructure as code (IaC)

using Terraform, Ansible, or CloudFormation. Oversee

containerization and orchestration

platforms (Docker, Kubernetes, OpenShift, EKS/AKS/GKE). Evaluate and integrate

DevOps tools and technologies

to enhance automation, observability, and scalability. Implement and enforce

DevSecOps practices , ensuring compliance, governance, and security standards. Collaborate with engineering teams to define

zero-downtime deployment strategies

(blue/green, canary). Lead

cloud migration and modernization

efforts across AWS, Azure, or GCP. Develop

monitoring, logging, and alerting frameworks

to improve reliability and MTTR. Mentor DevOps engineers and guide cross-functional teams on industry best practices. Required Skills & Qualifications

Bachelor’s or Master’s in Computer Science, Engineering, or related field. 10+ years of IT experience

with at least

5 years in DevOps/SRE roles . Proven expertise with

cloud platforms

(AWS, Azure, GCP). Strong hands-on knowledge of

CI/CD tools

(Jenkins, GitHub Actions, GitLab, Bamboo, or Azure DevOps). Experience with

infrastructure automation

(Terraform, Ansible, Puppet, Chef). Proficiency in

scripting/programming

(Python, Bash, Groovy, etc.). Strong background in

Kubernetes, Docker, Helm, and service mesh technologies . Knowledge of

monitoring and logging tools

(Prometheus, Grafana, ELK, Splunk, Datadog). Familiarity with

security and compliance frameworks

(CIS, NIST, SOC2). Preferred Qualifications

Experience in

multi-cloud and hybrid-cloud environments . Exposure to

AI/ML-enabled DevOps (AIOps/MLOps)

practices. Prior experience designing systems for

high availability, resiliency, and disaster recovery . Seniority level

Mid-Senior level Employment type

Contract Job function

Analyst, Research, and Management Industries

Manufacturing and Telecommunications

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