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Position Overview
We are seeking an experienced Sr. or Lead DevOps Developer with strong expertise in AWS Cloud and the ability to operate effectively in multi-cloud environments to join the IDT&S Simplify & Streamline team.
This role will focus 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, along with 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 US Person (Green Card holder or US Citizen)
Though primarily remote, candidates will be expected to go onsite as needed at any of these locations: St. Louis, Chicago, N. Charleston, SC, Seattle are the preferred locations. Will consider candidates in Dallas or Colorado Springs - 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.
Must have 8+ years of overall experience as described in the job description
5+ years of experience in DevOps or Site Reliability Engineering roles with strong focus on AWS Cloud.
Hands-on experience with AWS services including EC2, S3, Lambda, EKS, RDS, CloudFormation, CloudWatch, and IAM.
- 5+ years of experience in AWS or Azure and scaling monolithic and microservice-oriented production applications
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 like Splunk.
Excellent collaboration and communication skills in cross-functional teams.
Preferred Qualifications (Desired Skills/Experience)
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 in the job description
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.
Typical Education & Experience:
Level 4: Technical bachelor’s degree and typically 8 or more years related work experience or Master’s degree with typically 6 or more years or a PhD degree with typically 4 or more years’ related work experience, or an equivalent combination of education and experience.
Level 5: Technical bachelor’s degree and typically 12 or more years related work experience or Master’s degree with typically 10 or more years or a PhD degree with typically 8 or more years’ related work experience, or an equivalent combination of education and experience.
Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.
Drug Free Workplace:
Boeing is a Drug Free Workplace where 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.
Pay & Benefits:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and several programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as spanet and business considerations.
Summary Pay Range: Salary will is dependent on geographical locations. Examples below:
Pay Range: Pay is dependent on level, experience, and geographical location:
Senior - $135K to $189K
Lead - $162K to $229K
Applications for this position will be accepted until Apr. 09, 2026
Export Control Requirements:
This is not an Export Control position.
Relocation
Relocation assistance is not a negotiable benefit for this position.
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.
