DevOps Engineer- AWS

Guidehouse

Arizona

On-site

USD 100,000 - 140,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Medical insurance

Vision insurance

Paid maternity leave

401(k)

Paid paternity leave

Tuition assistance

Student loan assistance

Child care support

Pension plan

Disability insurance

Job summary

A leading consulting firm is looking for a Senior AWS DevOps Engineer to design and optimize cloud infrastructure. Responsibilities include managing CI/CD pipelines and ensuring high availability and security of applications. Ideal candidates will have 6+ years in IT and expertise in AWS services. Full-time position with competitive benefits including medical insurance and 401(k).

Qualifications

Minimum of six years of relevant experience in IT infrastructure.
Three years in cloud engineering, DevOps, or infrastructure automation.
Hands-on experience with Infrastructure as Code (IaC).

Responsibilities

Design, automate, and optimize cloud infrastructure.
Manage and develop CI/CD pipelines.
Implement observability and monitoring solutions.
Ensure systems meet security and compliance requirements.

Skills

AWS core services

CI/CD pipelines

Infrastructure automation

Python

Bash

Education

Bachelor’s degree in Computer Science or related field

10 years of experience in IT

Tools

Terraform

Jenkins

AWS CodePipeline

Docker

GitHub Actions

Job description

Senior AWS DevOps Engineer

Base pay range: $100,000.00/yr - $140,000.00/yr

What You Will Do

We are seeking a Senior AWS DevOps Engineer to design, automate, and optimize cloud infrastructure and CI/CD pipelines while ensuring applications are highly available, scalable, secure and cost‑efficient.
Hands‑on experience with AWS services, automation frameworks and DevOps best practices, while mentoring junior engineers and driving technical excellence across teams.
Develop and manage CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, AWS CodePipeline, etc.) and support containerized workloads (Docker, ECS, EKS, Kubernetes).
Enable automated testing, artifact management and blue/green or canary deployments.
Implement observability, monitoring and logging solutions using AWS CloudWatch, X‑Ray, or third‑party tools.
Troubleshoot system performance, latency and reliability issues and define and maintain SLAs and SLOs.
Automate provisioning, scaling, monitoring, recovery processes, security scanning and vulnerability management with CI/CD.
Ensure systems meet security, governance and regulatory compliance requirements (HIPAA, FedRAMP, SOC 2, etc.) as applicable.
Implement IAM best practices, encryption strategies and secure networking.
Work closely with developers, architects and QA to ensure smooth releases.

What You Will Need

US Citizenship or Green Card Holder.
Must obtain and maintain a Federal or DoD Public Trust; candidates must obtain an approved adjudication prior to onboarding.
Bachelor’s degree in computer science, engineering or related field, or a minimum of ten (10) years of experience in lieu of a degree.
A minimum of six (6) years of prior relevant experience in IT infrastructure and a minimum of three (3) years in cloud engineering, DevOps or infrastructure automation.
Expertise in AWS core services (EC2, S3, RDS, Lambda, ECS/EKS, CloudFront, Route 53, IAM, etc.).
Assist senior transition team in account handoff validation, CI/CD pipeline validation, GitHub Actions audit, CodeBuild job review, Argo sync check, artifact migration, secrets verification, deployment dry runs, rollback prep and cutover support.
Monitor deployment pipeline and build status; build troubleshooting, deployment automation, Helm chart maintenance, Dockerfile updates, environment config management, release coordination and developer support.
Ownership of services like GitHub Actions, AWS CodeBuild, ArgoCD, Helm charts, Dockerfiles, secrets management, environment variables, deployment workflows, Terraform templates.
Hands‑on experience with IaC (Terraform, CloudFormation, CDK).
Proven ability to work autonomously and collaborate, mentor, help and support other team members as needed to solve complex operational and reliability problems.
Strong development background in Python, Bash or similar.