Overview
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.
Responsibilities
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
Qualifications
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.
Requirements:
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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