AWS DevSecOps Engineer

Phoenixoutcomes; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

PhoenixTeam is seeking an AWS DevSecOps Engineer to build, secure, and operate the AWS environments and automated delivery pipelines for internal and client applications. This hands-on role covers infrastructure as code, container deployment, CI/CD, security gates, and reliable release delivery across multi-account setups.

You will design AI-assisted workflows, enforce least-privilege access, and participate in on-call and post-incident reviews.

Qualifications

• 5+ years in DevOps/DevSecOps with production responsibility.
• Strong AWS production experience: VPC, IAM, ECS/EKS, RDS, KMS, CloudWatch, CloudTrail.
• Experience deploying containerized workloads with Docker and IaC tools.
• Experience owning CI/CD pipelines as code with automated testing and security gates.
• Scripting in Python, Bash, or Go and validating generated code.
• Understanding of least-privilege access, encryption, and security controls (NIST SP 800-53 or similar).

Responsibilities

• Build and operate AWS infrastructure using IaC and managed services.
• Own build, test, approval, and deployment pipelines as code.
• Embed SAST, DAST, SCA, and IaC security checks into release workflows.
• Apply least-privilege and secure credential handling in automation.
• Design and verify AI-assisted engineering workflows and runbooks.
• Support blue/green or canary deployments and incident recovery.
• Implement logs, metrics, tracing, and on-call incident response.

Skills

DevOps

AWS

CI/CD pipelines

Security & IaC

Scripting

Tools

Docker

Terraform

AWS CDK

CloudFormation

GitHub Actions

Forgejo Actions

CodePipeline

Job description

The AWS DevSecOps Engineer builds, secures, and operates the AWS environments and automated delivery pipelines that PhoenixTeam uses for internal and client applications. This is a hands-on production engineering role spanning infrastructure as code, container deployment, CI/CD, security controls integrated into releases, reliability, and incident recovery. The engineer uses shared Platform patterns to make deployment repeatable rather than relying on one-off application setups.

Agentic orchestration is a primary delivery approach: the engineer designs, supervises, and verifies AI-assisted workflows for testing, hardening, containerization, infrastructure provisioning, and deployment. Success depends on independent AWS, DevSecOps, and security judgment—especially when generated scripts or configurations are wrong. The goal is to improve speed and reliability from prototype through production without bypassing security reviews or release controls.

Key Functions

• Build and operate AWS infrastructure using Terraform, AWS CDK, or CloudFormation, including VPC networking, IAM, ECS/Fargate or EKS, RDS, load balancing, KMS, Secrets Manager, S3, and CloudWatch.
• Implement application infrastructure within shared Platform patterns; support multi-account controls using AWS Organizations, Control Tower, service control policies, or comparable guardrails.
• Own build, test, approval, and deployment pipelines as code using GitHub Actions, Forgejo Actions, AWS CodePipeline, or comparable tools; create reusable, documented workflows.
• Embed SAST, DAST, software-composition/dependency, container-image, and infrastructure-as-code scanning in release stages; maintain blocking criteria and elevate risk acceptance and exceptions to authorized decision-makers.
• Apply least-privilege IAM, encryption, secrets handling, network isolation, and controlled production access; constrain what automation and AI agents can access or change.
• Design and verify agent-executable playbooks for hardening, testing, provisioning, and deployment; independently review and test generated code, infrastructure definitions, and security evidence.
• Support blue/green or canary deployment and tested rollback; use lead time, deployment frequency, failure rate, and recovery metrics to improve reliable release delivery.
• Implement logs, metrics, tracing, health checks, alerts, and cost visibility; participate in a rotating on-call schedule, respond to incidents, and contribute to post-incident reviews and runbooks.
• Use AWS security and audit tooling such as Security Hub, GuardDuty, Config, CloudTrail, Inspector, and IAM Access Analyzer as applicable; remediate findings and support relevant evidence needs.
• Work with application engineers, Platform, QA/verification, and client security stakeholders to support secure handoffs and explain deployment decisions, controls, and human verification.

Requirements

Minimum Qualifications

• 5+ years of hands-on DevOps, DevSecOps, site reliability, or platform engineering experience, including production responsibility, infrastructure automation, and deployment or incident recovery.
• Strong production AWS experience spanning VPC/networking, IAM, ECS or EKS, RDS, KMS, secrets management, CloudWatch, and CloudTrail.
• Experience deploying containerized workloads with Docker and building production infrastructure as code using Terraform, AWS CDK, or CloudFormation.
• Experience owning CI/CD pipelines as code, including automated testing, security gates, release promotion, troubleshooting, and rollback.
• Hands-on experience integrating SAST, DAST, SCA/dependency, container, and infrastructure-as-code security checks into delivery workflows.
• Ability to script automation in Python, Bash, or Go and independently validate generated scripts and infrastructure configurations.
• Practical understanding of least-privilege access, encryption, secure credential handling, and NIST SP 800-53 or a comparable security-control framework.
• Ability to supervise and verify AI-assisted engineering workflows with independent judgment; clear written and verbal communication with technical and non-technical partners.

Preferred Qualifications or Skills

• Experience with LLM-assisted or multi-agent engineering automation, including Amazon Bedrock or comparable orchestration tools.
• AWS multi-account landing-zone expertise; policy-as-code or guardrails using OPA, Checkov, cfn-guard, SCPs, or comparable controls.
• Experience supporting SOC 2 or other applicable commercial security assessments and automated audit evidence.
• Relevant AWS professional, cloud security, or security engineering certification.
• Client-facing delivery in mortgage, financial services, or another regulated industry; experience mentoring engineers in reliable pipeline practices.
• Employment type: Full-Time, W2 employee; not a contract or 1099 position.
• Work arrangement: Remote-first, with flexible arrangements and collaboration across engineering and client teams.
• On-call: Participation in a rotating schedule to support production systems and incident response is required; coverage details will be discussed during hiring.
• Travel: Up to 10% may be required based on business or client needs.

About PhoenixTeam

PhoenixTeam partners with organizations to deliver real results across GenAI, data, product, and technology. We help clients modernize legacy systems, redesign complex workflows, and move practical AI and digital solutions into production in regulated environments.

PhoenixTeam is an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, genetic information, protected veteran status, or any other status protected by applicable law.