Cloud DevOps Engineer

Boeing-posted about 1 month ago
$85,000 - $123,050/Yr
Full-time • Mid Level
Hybrid • Tampa, FL
5,001-10,000 employees
Transportation Equipment Manufacturing
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At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Defense, Space & Security (BDS) is seeking an Advanced Information Technologist - Cloud DevOps Engineer (Level 2) to join the Solutions team supporting the Data Analytics Engineering & Integration organization in Ridley Park, PA; Seattle, WA; Arlington, VA; San Diego, CA; Long Beach, CA; Mesa, AZ; or Hazelwood, MO. You will enable secure, repeatable, and observable delivery of cloud‑native AWS applications, APIs, and DBaaS‑backed solutions by building and operating CI/CD, Infrastructure‑as‑Code, policy‑as‑code, and monitoring platforms while partnering closely with senior Cloud DevOps engineers, other team members, and cross‑functional platform, data, and application teams. Role summary As a Level 2 Cloud DevOps Engineer on the Solutions team you will be hands‑on delivering automation and operational tooling that supports application delivery, dataset handoffs, and DBaaS lifecycle integration. You will implement and maintain CI/CD pipelines, IaC, secrets and key management, centralized policy enforcement (RBAC+ABAC), observability, and runbooks to ensure secure, compliant, and reliable deployments for applications that serve downstream data consumers.

  • Build, maintain, and improve CI/CD pipelines for applications, APIs, and DB lifecycle changes (GitLab CI or equivalent); automate builds, tests, policy checks, and safe rollback strategies.
  • Author and operate Infrastructure‑as‑Code (Terraform/CloudFormation) for application infra, networking, environment promotion, and DBaaS provisioning.
  • Manage secrets and key lifecycle: integrate Secrets Manager, KMS, and secure vault patterns into pipelines and runtime services.
  • Instrument and maintain observability: metrics, logs, distributed tracing, dashboards, and alerts (CloudWatch, Prometheus, Grafana, tracing) to support SLOs and incident detection.
  • Implement and automate authorization models: support RBAC and ABAC attributes, integrate centralized policy engines (e.g., OPA/IAM conditions/Foundry policies), and include policy checks in CI/CD.
  • Support containerized and serverless deployments (Docker, EKS/ECS, Lambda); manage Helm/manifest automation and container build pipelines.
  • Automate DBaaS tasks in pipelines: provisioning, backups/DR, patching, schema promotion, and lifecycle actions for RDS/Aurora or equivalent.
  • Maintain and author runbooks, incident playbooks, and operational run procedures; participate in on‑call rotations and escalate complex incidents to Level 4/5 engineers.
  • Collaborate with Full Stack, Data, and Platform engineers to enable secure dataset handoffs, app integrations, and enforce ITAR/EAR/GovCloud constraints in deployment flows.
  • Contribute to cost optimization: autoscaling strategies, right‑sizing, and pipeline improvements to reduce cost‑to‑serve.
  • Continuously review and recommend improvements to deployment reliability, security posture, and developer experience.
  • 2+ years hands‑on experience in cloud DevOps or cloud platform engineering, preferably on AWS.
  • Experience building CI/CD pipelines (GitLab CI/CD or similar) and authoring IaC with Terraform or CloudFormation.
  • Familiarity with container workflows and orchestration (Docker and EKS/ECS) and/or serverless (AWS Lambda).
  • Practical experience with secrets management and KMS integration.
  • Working knowledge of monitoring and observability tooling (CloudWatch, Prometheus, Grafana, tracing).
  • Familiarity with RBAC and exposure to attribute‑based or policy‑driven controls (ABAC/OPA/IAM conditions).
  • Proficiency with scripting/automation (Python, Bash, or equivalent).
  • Strong collaboration skills and experience working with senior engineers and cross‑functional teams.
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience.
  • This position requires U.S. Citizenship and the ability to obtain an interim and/or final U.S. Secret Clearance post‑start.
  • Applicable and appropriate educational/certification credentials from an accredited institution and/or equivalent experience is required.
  • Experience automating DBaaS provisioning and lifecycle (RDS/Aurora) and embedding backup/DR in pipelines.
  • Experience with policy-as-code (OPA) and entitlement/workflow automation for dataset access.
  • Experience operating in AWS GovCloud or regulated environments and practical knowledge of ITAR/EAR requirements.
  • Familiarity with Palantir Foundry integrations or enterprise data platforms.
  • Certifications such as AWS Associate/Specialty, CKA, or relevant DevOps certifications.
  • Experience in aviation, defense, or other regulated industries and working in large matrixed organizations.
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