You'll be the one making sure our CI pipelines aren't just efficient, but blazing fast, so our engineers can respond to the unexpected in real time. You'll own every aspect of the development workflow including AI assistant tools, language upgrades, build systems, pre-commit checks, and emerging projects to help unlock developer velocity.

This role supports both commercial and U.S. Government programs.

Maintain and streamline a CI pipeline integrating with a mix of real and simulated hardware Introduce and optimize build tools and workflows to accelerate development Automate release, deployment, and monitoring tooling for development and production systems Implement and own the proliferation of metrics and performance tracking in development, CI, production, and mission contexts Lead initiatives that improve developer productivity and developer experience

Requirements: 6+ years experience in Infrastructure and DevOps engineering Bachelor of Science in a related discipline (e.g. Computer Science, Information Technology) Proficiency with Python or other scripting language Experience with scaling build systems such as, but not limited to: Bazel, CMake, or Pants Strong Experience with Linux Experience working with CI tools such as Gitlab, Github, Jenkins, Tekton or others Strong written and oral communication skills Highly motivated, self-starting, and able to perform duties autonomously without much supervision

Bonus: Bazel build system Code coverage reporting AI tooling for developers Remote development environments Flaky test management and infrastructure

What we offer: All our positions offer a compensation package that includes equity and robust benefits. Base pay is just one component of Astranis's total rewards package. Your compensation also includes a significant equity package via incentive stock options, high-quality company-subsidized healthcare, disability and life insurance, 401(k) retirement planning, flexible PTO, and free on-site catered meals.

Base Salary $160,000-$220,000 USD

U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status Required (To comply with U.S. Government space technology export regulations, applicant must be a U.S. citizen, lawful permanent resident of the United States, or other protected individual as defined by 8 U.S.C. 1324b(a)(3))

Our mission and our products are meant to connect the world and everyone in it, regardless of gender, race, creed, or any other distinction. We believe in a diverse and inclusive workplace, and we encourage all people to join our team and bring their unique perspective to help make us stronger.

XML job scraping automation by YubHub

You'll be the one making sure our CI pipelines aren't just efficient, but blazing fast, so our engineers can respond to the unexpected in real time. You'll own every aspect of the development workflow including AI assistant tools, language upgrades, build systems, pre-commit checks, and emerging projects to help unlock developer velocity.

This role supports both commercial and U.S. Government programs.

Responsibilities:

Maintain and streamline a CI pipeline integrating with a mix of real and simulated hardware Introduce and optimize build tools and workflows to accelerate development Automate release, deployment, and monitoring tooling for development and production systems Implement and own the proliferation of metrics and performance tracking in development, CI, production, and mission contexts Lead initiatives that improve developer productivity and developer experience

Requirements:

6+ years experience in Infrastructure and DevOps engineering Bachelor of Science in a related discipline (e.g. Computer Science, Information Technology) Proficiency with Python or other scripting language Experience with scaling build systems such as, but not limited to: Bazel, CMake, or Pants Strong Experience with Linux Experience working with CI tools such as Gitlab, Github, Jenkins, Tekton or others Strong written and oral communication skills Highly motivated, self-starting, and able to perform duties autonomously without much supervision

Bonus:

Bazel build system Code coverage reporting AI tooling for developers Remote development environments Flaky test management and infrastructure

What we offer:

All our positions offer a compensation package that includes equity and robust benefits. Base pay is just one component of Astranis's total rewards package. Your compensation also includes a significant equity package via incentive stock options, high-quality company-subsidized healthcare, disability and life insurance, 401(k) retirement planning, flexible PTO, and free on-site catered meals.

Astranis pay ranges are informed and defined through professional-grade salary surveys and compensation data sources. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, and the level and scope of the position.

Base Salary $160,000-$220,000 USD

U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status Required (To comply with U.S. Government space technology export regulations, applicant must be a U.S. citizen, lawful permanent resident of the United States, or other protected individual as defined by 8 U.S.C. 1324b(a)(3))

Our mission and our products are meant to connect the world and everyone in it, regardless of gender, race, creed, or any other distinction. We believe in a diverse and inclusive workplace, and we encourage all people to join our team and bring their unique perspective to help make us stronger.

XML job scraping automation by YubHub

You'll be the one making sure our CI pipelines aren't just efficient, but blazing fast, so our engineers can respond to the unexpected in real time. You'll own every aspect of the development workflow including AI assistant tools, language upgrades, build systems, pre-commit checks, and emerging projects to help unlock developer velocity.

This role supports both commercial and U.S. Government programs.

Maintain and streamline a CI pipeline integrating with a mix of real and simulated hardware Introduce and optimize build tools and workflows to accelerate development Automate release, deployment, and monitoring tooling for development and production systems Implement and own the proliferation of metrics and performance tracking in development, CI, production, and mission contexts Lead initiatives that improve developer productivity and developer experience

XML job scraping automation by YubHub

You'll be the one making sure our CI pipelines aren't just efficient, but blazing fast, so our engineers can respond to the unexpected in real time. You'll own every aspect of the development workflow including AI assistant tools, language upgrades, build systems, pre-commit checks, and emerging projects to help unlock developer velocity.

This role supports both commercial and U.S. Government programs.

Responsibilities: Maintain and streamline a CI pipeline integrating with a mix of real and simulated hardware Introduce and optimize build tools and workflows to accelerate development Automate release, deployment, and monitoring tooling for development and production systems Implement and own the proliferation of metrics and performance tracking in development, CI, production, and mission contexts Lead initiatives that improve developer productivity and developer experience

Requirements: 2+ years experience in Infrastructure and DevOps engineering Bachelor of Science in a related discipline (e.g. Computer Science, Information Technology) Proficiency with Python or other scripting language Experience with scaling build systems such as, but not limited to: Bazel, CMake, or Pants Strong Experience with Linux Experience working with CI tools such as Gitlab, Github, Jenkins, Tekton or others Strong written and oral communication skills Highly motivated, self-starting, and able to perform duties autonomously without much supervision

Bonus: Bazel build system Code coverage reporting AI tooling for developers Remote development environments Flaky test management and infrastructure

What we offer: All our positions offer a compensation package that includes equity and robust benefits. Base pay is just one component of Astranis's total rewards package. Your compensation also includes a significant equity package via incentive stock options, high-quality company-subsidized healthcare, disability and life insurance, 401(k) retirement planning, flexible PTO, and free on-site catered meals.

Base Salary $120,000-$170,000 USD

U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status Required (To comply with U.S. Government space technology export regulations, applicant must be a U.S. citizen, lawful permanent resident of the United States, or other protected individual as defined by 8 U.S.C. 1324b(a)(3))

Our mission and our products are meant to connect the world and everyone in it, regardless of gender, race, creed, or any other distinction. We believe in a diverse and inclusive workplace, and we encourage all people to join our team and bring their unique perspective to help make us stronger.

XML job scraping automation by YubHub

Are you enthusiastic to mine raw data and realize its hidden value by building amazing, connected data solutions that benefit our customers? Would you love to accelerate our efforts in implementing advanced physics and ML Models in production?

The Data Engineer role resides within the Ford’s Electric Vehicle organization. In this role, you will work on building scalable and robust data pipelines to process large volumes of connected vehicle data to support the Ford vehicle prognostic initiatives.

Responsibilities

• Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles.
• Build data pipelines to monitoring quality of data and performance of analytical models.
• Maintain the infrastructure of the data platform using terraform and continuously develop, evaluate, and deliver code using CI/CD.
• Collaborate with data analytics stakeholders to streamline the data acquisition, processing, and presentation process.
• Implement an enterprise data governance model and actively promote the concept of data - protection, sharing, reuse, quality, and standards.
• Enhance and maintain the DevOps capabilities of the data platform.
• Continuously optimize and enhance existing data solutions (pipelines, products, infrastructure) for best performance, high security, low vulnerability, low costs, and high reliability.
• Work in an agile product team to deliver code frequently using Test Driven Development (TDD), continuous integration and continuous deployment (CI/CD).
• Promptly address code quality issues using SonarQube, Checkmarx, Fossa, and Cycode throughout the development lifecycle.
• Perform any necessary data mapping, data lineage activities and document information flows.
• Monitor the production pipelines and provide production support by addressing production issues as per SLAs.
• Provide analysis of connected vehicle data to support new product developments and production vehicle improvements.
• Provide visibility to data quality/vehicle/feature issues and work with the business owners to fix the issues.
• Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions.
• Continuously enhance your domain knowledge of connected vehicle data, connected services and algorithms/models developed by data scientists within Ford.
• Stay current on the latest data engineering practices and contribute to the technical direction of the company while keeping a customer-centric approach.

Qualifications

• Master’s degree or foreign equivalent degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field, and 4 years of experience OR equivalent combination of education and experience (6+ years with Bachelor's Degree).
• 4 years of professional experience in:
• Data engineering, data product development and software product launches
• At least three of the following languages: Java, Python, Spark, Scala, SQL
• 3 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines using:
• Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery.
• Workflow orchestration tools like Airflow.
• Relational Database Management System like MySQL, PostgreSQL, and SQL Server.
• Real-Time data streaming platform like Apache Kafka, GCP Pub/Sub
• Microservices architecture to deliver large-scale real-time data processing application.
• REST APIs for compute, storage, operations, and security.
• DevOps tools such as Tekton, GitHub Actions, Git, GitHub, Terraform, Docker.
• Project management tools like Atlassian JIRA.

Even better if you have...

• Ph.D. or foreign equivalent degree in Computer Science, Software Engineering, Information System, Data Engineering, or a related field.
• 2 years of experience with ML Model Development and/or MLOps.
• Committed code to improve open-source data/software engineering projects
• Experience architecting cloud infrastructure and handling application migrations/upgrades.
• GCP Professional Certifications.
• Demonstrated passion to mine raw data and realize its hidden value.
• Passion to experiment/implement state of the art data engineering methods/techniques.
• Experience working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment.
• Experience implementing methods for automation of all parts of the pipeline to minimize labor in development and production.
• Analytics skills to profile data, troubleshoot data pipeline/product issues.
• Ability to simplify, clearly communicate complex data/software ideas/problems and work with cross-functional teams and all levels of management independently.

Experience Level: mid

XML job scraping automation by YubHub