Job description

Job Description
At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. 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.
The Boeing Company is currently seeking an Associate Software Engineer to join the Machine Learning Operations (MLops) team located in St. Louis region (Berkeley/Hazelwood, MO) .

As a SW Engineer for our MLops team, you will be responsible for designing, building, and maintaining the Kubernetes infrastructure that supports our Machine Learning Operations (MLops) services. You will work closely with our data scientists, software engineers, and DevOps team to ensure that our MLops services are reliable, scalable, and performant.

Your primary goal is to help the team deliver high-quality MLops services to our consumers by leveraging Kubernetes and other related technologies.

Position Responsibilities:
Design, build, and maintain solutions that support our MLops services

Collaborate with the data science, engineering, and DevOps teams to ensure that our MLops services are integrated with the infrastructure

Automate the deployment, scaling, and monitoring of MLops services using Kubernetes and related technologies such as Helm, Istio, and Prometheus

Implement security and compliance controls MLops services

Optimize the performance and reliability of MLops services through monitoring, logging, and performance testing

Develop and maintain documentation, training materials, and best practices for the solution

Collaborate with other teams and stakeholders to ensure that MLops services meet their requirements and expectations

This position is hybrid. This means that the selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring team’s discretion and could potentially change in the future.

Security Clearance and Export Control Requirements:
This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee.

Basic Qualifications (Required Skills/ Experience):
Bachelor of Science degree or higher from an accredited course of study, in Computer Engineering, Software Engineering, Computer Science, Mathematics, Physics or other technical degree

2+ years of experience as SW Engineer in a DevOps or cloud infrastructure environment

Experience with containerization technologies such as Docker and container orchestration tools such as Kubernetes

Strong scripting skills in one or more languages such as Python, Bash

Familiarity with cloud infrastructure technologies such as AWS, GCP, or Azure

Experience working with MLops or data science teams

Preferred Qualifications (Desired Skills/Experience):
Experience with Terraform and CloudFormation Templates

Experience in SRE and/or DevOps

Excellent verbal and written communication skills, with ability to work with both technical and non-technical stakeholders

Extending and customizing Cloud Native services

Experience with micro-service, cloud-native, and distributed architectures

Experience using Agile methodologies, with a focus on Scrum and Kanban

Experience with tools for Continuous Integration/Delivery, Version Control, and Build Automation such as Git, Gitlab, and Github

Experience with Helm, Istio, and Prometheus or other related Kubernetes technologies

Excellent communication and collaboration skills

Typical Education/Experience:
Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 2 or more years' related work experience or an equivalent combination of technical education and experience (e.g. Master). In the USA, ABET accreditation is the preferred, although not required, accreditation standard.

Travel:
This position may require up to 10% travel.

Relocation:
This position offers relocation based on candidate eligibility. Basic relocation will be offered for eligible internal candidates.

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 is met as outlined in our policies.

Work Shift:
This position would work 1st Shift.
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 a number of 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.

Please note that the salary information shown below is a general guideline only. Salaries are based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range for Associate: $85,000.00 - $115,000.00
Export Control Requirements: U.S. Government Export Control Status: This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

Export Control Details: US based job, US Person required

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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