Delivery Consultant- DevOps, AWS Professional Services
amazonwebservicesDallas (TX)
Delivery Consultant- DevOps, AWS Professional Services
Posted today
amazonwebservicesDallas (TX)
SENIORITY
Lead
About the role
Overview:
In this role you will design, implement, and manage AI-driven AWS solutions tailored to customer needs. You will work with cross-functional teams to help customers achieve business outcomes through secure, scalable cloud architectures. You will lead the delivery lifecycle, share best practices, and guide adoption of agentic delivery methodologies. You will act as a trusted advisor on industry trends and emerging technologies, influencing solution design and delivery at scale. This role offers the opportunity to shape complex deployments and accelerate value realization for diverse customers. Compensation / Benefits health insurance (medical, dental, vision) 401(k) matching paid time off parennial leave RSUs / sign-on options comprehensive benefits package
Responsibilities:
Design and build complex, scalable, and secure AWS solutions using AI-driven development Provide technical guidance and troubleshooting throughout project delivery Collaborate with stakeholders to identify outcomes and delivery strategies Act as trusted advisor on industry trends and emerging technologies Mentor colleagues, share knowledge, and create reusable artifacts
Key requirements:
Bachelor's degree, or 5+ years of professional or military experience 3+ years of DevOps or SysOps in a large-scale environment 3+ years of development/programming/scripting (Python/Java/Bash/Perl) 3+ years of Infrastructure as Code (CloudFormation, Terraform, or CDK) and CI/CD workflows 3+ years experience with CI/CD tools (Jenkins, Bamboo, TeamCity, AWS CodeDeploy, GitLab) Experience with agentic delivery methodologies including spec-driven development and multi-agent orchestration Hands-on experience with microservices/serverless architectures (Kubernetes, EKS, Docker, Lambda) Hands-on experience designing ETL data pipelines and MLOps pipelines (Kafka, Airflow, Spark, Hadoop, Glue; SageMaker, MLFlow, Kubeflow) strong communication and presentation skills consulting mindset with business-value focus ability to manage scope and deliverables AI-driven development Agentic AI coding tools (e.g., Kiro, Claude Code, Copilot, Codex, Cursor) Kubernetes/EKS, Docker, Lambda
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