Join a group of 90 software engineers using the latest technologies to solve the hardest problems for our nation. We are seeking a DevOps Engineer II to build robust process automation for scalable data pipelines and analytics/machine learning solutions.

DevOps Technologies Routinely Used

Cloud Tools: aws cli, azure cli, boto3

Command Line Shells: Bash, Powershell, etc..

CI/CD & GitOps Tools: Bamboo, GitLab, Azure DevOps, Jenkins

Container services: Docker, Apptainer, Kaniko, Podman

Container Orchestration: Kubernetes with Helm or Kustomize, ECS

IaC/CaC: CDK, Azure json templates, ansible, terraform, Bamboo Specs

Cloud Technologies Routinely Used

Compute EC2, ECS/Docker, EKS/Kubernetes, Lambda, EMR, Spark

Development Environment git, Gitlab, Atlassian Tools , CDK, CI/CD, DevOps, VSC, PyCharm

Data and Storage S3, RDS, ElasticSearch, Dynamo, Redshift, MongoDB

Access AppSync/GraphQL, API Gateway

Pipelines Nifi, Airflow, Dagster, Sagemaker

Analytics Textract, RoBERTa/NLP, GDAL, TensorFlow, DataBricks

National Interest Project Examples

Detect and prevent smuggling of drugs and contraband at ports of entry [Link ]

Develop large data pipelines to thwart funding for terrorists, nuclear proliferators, drug cartels, and rogue leaders [Link ]

Use remotely sensed imagery to identify and monitor the progression of wildfires [Link ]

Analyze the resiliency of the electric power grid to prevent large-scale outages [Link ]

Model climate change and impacts to civilization [Link ]

Hunt for the existence of dark matter to understand the nature of the universe [Link ]

Applying big data solutions to national security problems [Link ]

Applying image classification for nuclear forensics analysis [Link ]

Optimize building efficiency using IOT and ICS data with automated demand-response markets [Link ]

Detect and respond to advanced cyber threats with at-edge computing [Link ]

Develop capabilities for scalable geospatial analytics [Link ]

How We Work

Diverse and flexible projects Flexibility to choose and move between projects

Agile development environment Scrum meetings, standups, demos, and retrospectives

Partners Work with government, academic, industry, and other partners to solve problems

Locations Seattle, WA; Richland, WA; Washington, DC

Team Sizes Typically around 5-10 members, although projects can be more than 100 or just a few members

Team Compositions Our teams include cloud engineers, DevOps engineers, machine learning engineers, data scientists/domain experts, UI/UX designers, front-end developers, scrums masters, product owners, and most importantly, users

A day in the life of a DevOps engineer at PNNL might start by finishing up a new GitOps driven container build pipeline on GitLab or Bamboo started earlier in the week. You will extend a helm or ECS configuration to include this application and then use deployment pipelines to launch the application in a testing environment. In the afternoon you may review security scans that were run against your container by pipelines you put in place a few weeks back or review cluster resource usage metrics to make sure autoscaling is still working as expected. Either way you then hit the sprint demo to show off your biweekly progress and then call it a day. All along you will know that your deployment answered a critical national security problem, something that might have been discussed on the evening news.

Missing some of these skills or experiences? Thats okay. If you have relevant technical expertise, are highly driven, and are very motivated to learn these technologies and tackle these domain problems, lets talk.


Identify mission challenges and formulate DevOps solutions methodically

Embrace software engineering excellence and delivering quality results at scale

Employ expertise with a high-level programming language, such as Python or C family

Apply good design and innovative problem-solving skills to solve challenging technical problems

Stay current about DevOps industry developments

Initiate personal direction and goals

Possess interest and/or experience mentoring junior scientists and engineers

Demonstrate outstanding verbal and written communication skills and the ability to work in a collaborative environment

Be passionate and self-motivated with good time management skills


Minimum Qualifications:

BS/BA with 5 years of experience

MS/MA with 3 years of experience

PhD with 1 year of experience

Preferred Qualifications:

Degree in computer science, engineering, applied mathematics, or related field

3-5 years of experience in building pipelines to automate the software development, testing, and deployment lifecycle

3-5+ years development experience

Strong understanding of software engineering best practices

Strong experience with open-source container ecosystem or serverless cloud services

Cloud certifications a plus

Familiar with machine learning algorithms with hands-on experience in machine learning pipeline development is a plus.

Active Federal Q Clearance and ability to maintain such clearance

Hazardous Working Conditions/Environment

Not Applicable

Additional Information

This position requires the ability to obtain and maintain a federal security clearance.


U.S. Citizenship

Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.

Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the candidate selected is subject to pre-employment and random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions .

Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs, including marijuana, for 12 months can be demonstrated.

Testing Designated Position

This position is a Testing Designated Position . The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.

Commitment to Excellence, Diversity, Equity, Inclusion, and Equal Employment Opportunity

Our laboratory is committed to a diverse and inclusive work environment dedicated to solving critical challenges in fundamental sciences, national security, and energy resiliency. We are proud to be an Equal Employment Opportunity and Affirmative Action employer. In support of this commitment, we encourage people of all racial/ethnic identities, women, veterans, and individuals with disabilities to apply for employment.

Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex , national origin, age, disability, genetic information , protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.

We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at hr@pnnl.gov .

Drug Free Workplace

PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program and complies with federal laws prohibiting the possession and use of illegal drugs.

Mandatory Requirements

Battelle requires employees to have a COVID-19 vaccine as a condition of employment, subject to accommodation. Applicants are required to disclose their vaccination status following a conditional offer of employment and must attest to being fully vaccinated with a Center for Disease Control -approved COVID-19 vaccination, or provide documentation of need for medical or religious exemption from the COVID-19 vaccination requirement.

Job Details:

Posted Date : 2022-05-06

Job type : Full Time

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