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À propos
Position Overview Boeing is seeking an experienced Senior or Lead DevOps Developer with strong expertise in AWS Cloud to join the IDT&S Simplify & Streamline team. This role focuses on designing, implementing, and maintaining scalable, secure, and automated infrastructure and deployment pipelines to support our IT4IT Data Lakehouse platform. The ideal candidate will have deep knowledge of AWS native services, cloud‑native DevOps practices, infrastructure as code, and CI/CD pipelines, and experience working with other cloud platforms such as Azure or GCP. Experience with Databricks and big‑data platforms is highly desirable. You will collaborate closely with data engineers, architects, and security teams to streamline operations, improve system reliability, and accelerate delivery of data‑driven solutions.
Position requires a U.S. Person (Green Card holder or U.S. Citizen). Though primarily remote, candidates will be expected to go onsite as needed at St. Louis, Chicago, N. Charleston, SC, Seattle (preferred). Candidates in Dallas or Colorado Springs may be considered, but relocation is not an offered benefit. Must live near one of these areas or be willing to relocate at your own expense.
Position Responsibilities
Design, build, and maintain automated CI/CD pipelines for data lakehouse platform components leveraging AWS and other cloud‑native tools.
Implement Infrastructure as Code (IaC) using tools such as AWS CloudFormation, Terraform, or equivalent for multi‑cloud infrastructure provisioning and management.
Leverage AWS services (EC2, S3, Lambda, EKS, RDS, CloudWatch, IAM) and other cloud services (Azure, GCP) to build scalable, secure, and highly available environments.
Collaborate with data engineering and architecture teams to support multi‑cloud deployments and ensure seamless integration with platforms like Databricks.
Monitor system performance, availability, and security using cloud‑native monitoring tools and implementing automated remediation.
Manage container orchestration platforms such as Amazon EKS, Azure AKS, or Google GKE.
Develop and maintain automation scripts and tools to streamline operational tasks across cloud environments.
Ensure compliance with security policies and best practices across all cloud platforms.
Participate in incident response and root‑cause analysis to improve system resilience.
Continuously evaluate and adopt emerging DevOps tools and practices across AWS and other clouds.
Document DevOps processes, configurations, and best practices to support team knowledge sharing and onboarding.
Basic Qualifications
Bachelor’s degree or higher in computer science, information technology, engineering, or related field, or equivalent work experience.
8+ years of overall experience in relevant DevOps or site‑reliability roles.
5+ years of experience in DevOps or Site Reliability Engineering with a strong focus on AWS Cloud.
Hands‑on experience with AWS services including EC2, S3, Lambda, EKS, RDS, CloudFormation, CloudWatch, and IAM.
Proficiency in Infrastructure as Code tools such as Terraform and AWS CloudFormation.
Solid scripting skills in Python, JavaScript, Bash, or PowerShell.
Familiarity with cloud security best practices and compliance frameworks.
Experience with monitoring and logging tools including AWS CloudWatch, Azure Monitor, or third‑party tools such as Splunk.
Excellent collaboration and communication skills in cross‑functional teams.
Preferred Qualifications
Relevant certifications such as:
AWS Certified DevOps Engineer – Professional
AWS Certified Solutions Architect – Associate or Professional
Microsoft Certified: Azure DevOps Engineer Expert
HashiCorp Certified: Terraform Associate
Prefer 12+ years of overall experience as described above.
Experience working with Databricks on AWS or Azure, including integration with data lakehouse architectures.
Knowledge of big‑data tools and workflows (Apache Spark, Kafka, Airflow) in multi‑cloud environments.
Experience implementing automated security and compliance controls in multi‑cloud DevOps pipelines.
Familiarity with AI/ML model deployment pipelines and MLOps practices.
5+ years of strong experience managing containerized workloads on Kubernetes platforms (Amazon EKS, Azure AKS, or Google GKE).
5+ years of experience working in multi‑cloud environments (Azure, GCP) with ability to manage infrastructure and deployments across platforms.
7+ years of experience building and managing CI/CD pipelines using AWS‑native tools (CodePipeline, CodeBuild) and/or Jenkins, GitLab CI.
Experience with Agile and Lean methodologies in software delivery.
Applications Accepted Until Apr. 11, 2026.
Pay & Benefits Senior – $135K to $189K
Lead – $162K to $229K
Drug Free Workplace Boeing is a Drug Free Workplace. Post‑offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria are met as outlined in our policies.
Relocation Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.
Export Control Requirements U.S. Person required (U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee).
Visa Sponsorship Employer will not sponsor applicants for employment visa status.
Shift This position is for 1st shift.
Equal Opportunity Employer Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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Compétences linguistiques
- English
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