Boeing
**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.* 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.* Hybrid: 1 day per week onsite at a listed location (hiring team discretion).* 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.* 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.* 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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