This position offers use of our AI screening tool as part of the initial candidate review. While completing the AI screening is optional, please note:
Candidates who complete the AI screening are reviewed first—daily.
We strongly encourage you to complete it promptly to ensure early consideration (first come, first served).
Expect to receive a prompt from our AI screener shortly after applying.
The AI screener helps us streamline the Candidate intake process, but rest assured—you’ll still work directly with a Masis recruiter throughout the rest of your hiring journey.
Join Our Team as an Ent DevOps Consultant – Drive Innovation and Automation to Power the Future of Energy Infrastructure
Are you passionate about leveraging cutting-edge DevOps practices to transform internal platforms and empower development teams? We are seeking a talented and experienced Ent DevOps Consultant to lead the expansion of our internal development platform capabilities through automation, AI-powered innovation, and best practices. This pivotal role offers the opportunity to design scalable, reusable solutions that enhance developer self-service and operational excellence across our organization.
What You’ll Bring:
5+ years of hands-on experience in DevOps, Platform Engineering, or Cloud Infrastructure Automation
Deep expertise in AWS services including ECS, EKS, Lambda, CloudWatch, and IAM
Proficiency with Terraform and infrastructure-as-code design patterns
Extensive experience developing CI/CD pipelines, ideally with Jenkins or similar tools
Strong knowledge of containerization and orchestration tools like Docker and Kubernetes
Scripting expertise in Python, Bash, Go, or equivalent languages
Proven ability to create automation frameworks and reusable patterns at scale
Exceptional communication skills for documenting and operationalizing processes
Nice to Have:
Experience integrating AI assistants and agents into delivery pipelines
Familiarity with “Docs as Code” initiatives, automated documentation workflows, and prompt management for AI workflows
Knowledge of security and compliance considerations in platform automation
Cross-functional collaboration experience with architecture, cybersecurity, and infrastructure teams
Preferred Education & Experience:
Bachelor’s degree or higher in Computer Science, Information Technology, or related fields
Demonstrated success in roles involving automation frameworks, cloud infrastructure, and large-scale DevOps projects
Additional Requirements:
Ability to work collaboratively across teams in a fast-paced environment
Willingness to engage in ongoing learning of emerging technologies and best practices