Sr. or Lead DevOps Developer

Sr. or Lead DevOps Developer

Company:

The Boeing Company

Position Overview

Boeing 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 envir