Staff Engineer, DevOps (R2541)
San Diego Metro Area / Dallas Metro Area / Washington DC Metro AreaHivemind Foundations /Full Time Employee /On-siteIntroduction to Shield AIFounded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems.
In pursuit of this mission, Shield AI is building the world s best AI pilot.
Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova).
The company has offices in San Diego, Dallas, Washington DC and abroad.
Shield AI s products and people are currently in the field actively supporting operations with the U.
S.
Department of Defense and U.
S.
allies.
Job Description:
As a Hivemind DevOps engineer, you will design and implement engineering centric automation across the organization.
You will work closely with the Developer Experience team implementing policies and guidelines into the continuous integration and delivery systems.
This role requires you to be very hands on and contribute to discussions with cross-functional teams across the organization.
We embrace an attitude that focuses on solving the root cause of problems efficiently.
A large part of your day to day will be in our build pipelines, build configuration management, and focusing on making changes to increase developer iteration time.
What you'll do:
Own the Hivemind CI/CD system, engaging with autonomy developers and the Developer Experience team daily to support as needed.
Manage and own the monitoring tool stack, focusing on build infrastructure metrics.
Manage and own internal build containers used by all of the Hivemind organization.
Support AI engineers with build issues and educate on best practices.
Manage and own the performance, maintenance, and administration of Hivemind enterprise infrastructure including Azure DevOps, Artifactory, Containers, K8s, etc.
Work closely with the Developer Experience team to improve engineer efficiency.
Required
Qualifications:
BS in computer science or related engineering field with 7
years of professional experience.
Experience with configuration management tools (Makefile, CMake, Conan, Bazel, etc.
).
Strong demonstrated proficiency in continuous integration/delivery (e.
g.
Github Actions, ADO, TeamCity, etc.
).
DevOps experience with a cloud service (Google, Azure, AWS).
Strong knowledge of APIs, web services, and identity access management.
Strong knowledge of containers (e.
g.
Docker, Podman, etc.
).
Strong knowledge of scripting languages (Bash, Python, PowerShell).
Strong knowledge of Git.
Strong knowledge of monitoring tools (Grafana, Data Dog, Splunk, Prometheus, ELK, etc.
).
Strong system administration in Linux (w/ Windows a bonus).
Strong desire to learn and grow on the job.
Preferred
Qualifications:
Strong Experience with Conan Package Manager.
Experience with a compiled programming language (e.
g.
C, C++, Rust, Go) in a production environment.
Experience with Hardware in the Loop build/deploy/test systems.
Experience owning build infrastructure.
Experience with NVIDIA Jetson products.
$155,000 - $232,000 a year#LI-JM2#LCTotal package details:
Regular employee positions:
Salary within range listed above
Bonus
Benefits
Equity Temporary employee positions:
Hourly within range listed above
temporary benefits package (applicable after 60 days of employment) Interns/Military Fellows/Part-time not eligible for bonus, benefits or equityActual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location.
All offers are contingent on a cleared background and possible reference check.
If you're interested in being part of our team, apply now! Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status.
If you have a disability or special need that requires accommodation, please let us know.
.
Estimated Salary: $20 to $28 per hour based on qualifications.
In pursuit of this mission, Shield AI is building the world s best AI pilot.
Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova).
The company has offices in San Diego, Dallas, Washington DC and abroad.
Shield AI s products and people are currently in the field actively supporting operations with the U.
S.
Department of Defense and U.
S.
allies.
Job Description:
As a Hivemind DevOps engineer, you will design and implement engineering centric automation across the organization.
You will work closely with the Developer Experience team implementing policies and guidelines into the continuous integration and delivery systems.
This role requires you to be very hands on and contribute to discussions with cross-functional teams across the organization.
We embrace an attitude that focuses on solving the root cause of problems efficiently.
A large part of your day to day will be in our build pipelines, build configuration management, and focusing on making changes to increase developer iteration time.
What you'll do:
Own the Hivemind CI/CD system, engaging with autonomy developers and the Developer Experience team daily to support as needed.
Manage and own the monitoring tool stack, focusing on build infrastructure metrics.
Manage and own internal build containers used by all of the Hivemind organization.
Support AI engineers with build issues and educate on best practices.
Manage and own the performance, maintenance, and administration of Hivemind enterprise infrastructure including Azure DevOps, Artifactory, Containers, K8s, etc.
Work closely with the Developer Experience team to improve engineer efficiency.
Required
Qualifications:
BS in computer science or related engineering field with 7
years of professional experience.
Experience with configuration management tools (Makefile, CMake, Conan, Bazel, etc.
).
Strong demonstrated proficiency in continuous integration/delivery (e.
g.
Github Actions, ADO, TeamCity, etc.
).
DevOps experience with a cloud service (Google, Azure, AWS).
Strong knowledge of APIs, web services, and identity access management.
Strong knowledge of containers (e.
g.
Docker, Podman, etc.
).
Strong knowledge of scripting languages (Bash, Python, PowerShell).
Strong knowledge of Git.
Strong knowledge of monitoring tools (Grafana, Data Dog, Splunk, Prometheus, ELK, etc.
).
Strong system administration in Linux (w/ Windows a bonus).
Strong desire to learn and grow on the job.
Preferred
Qualifications:
Strong Experience with Conan Package Manager.
Experience with a compiled programming language (e.
g.
C, C++, Rust, Go) in a production environment.
Experience with Hardware in the Loop build/deploy/test systems.
Experience owning build infrastructure.
Experience with NVIDIA Jetson products.
$155,000 - $232,000 a year#LI-JM2#LCTotal package details:
Regular employee positions:
Salary within range listed above
Bonus
Benefits
Equity Temporary employee positions:
Hourly within range listed above
temporary benefits package (applicable after 60 days of employment) Interns/Military Fellows/Part-time not eligible for bonus, benefits or equityActual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location.
All offers are contingent on a cleared background and possible reference check.
If you're interested in being part of our team, apply now! Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status.
If you have a disability or special need that requires accommodation, please let us know.
.
Estimated Salary: $20 to $28 per hour based on qualifications.
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