Senior Software Engineer, Sage Grande Testbed

Colorado State University
Chicago, IL, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$100,000.0 - $140,000.0
Working hours
Regular working hours
Job source

Tech stack

Secure Shell (SSH) Artificial Intelligence Amazon S3 Data Analysis Cloud Computing Cloud Database Configuration Management Software Documentation Databases Computer Engineering Continuous Integration Software Debugging
+24 more
Linux Linux on Embedded Systems Github Issue Tracking Systems Python (Programming Language) Message Broker Package Management Systems RabbitMQ Raspberry Pi Redis Ansible Prometheus Software Engineering Web Services Scripting Time Series Databases Grafana Caching Kubernetes Information Technology Influxdb NVIDIA Jetson Data Pipelines User Administration

Job description

Leads the design, development, and reliable operation of software and infrastructure supporting a national-scale artificial intelligence testbed, including a growing fleet of edge computing devices, cloud infrastructure, and data pipelines. Works independently and exercises significant judgment on complex projects, sets technical direction, and mentors’ junior staff. Selects, builds, and maintains the tooling needed to monitor, secure, and scale the platform, and partners with research users and external collaborators to ensure their requirements are met., * Design and develop software for operating and scaling a distributed network of AI-enabled edge computing nodes, growing from 150 to 500 devices; build substantial custom tooling and infrastructure; ensure distributed fleet, cloud infrastructure, and data pipelines operations.

Technical Leadership & Strategic Planning :

  • Participate in planning and setting technical direction; provide mentoring to students and junior engineers; develop software deployment technologies across systems at scale; partner with distributed team to inform monitoring, infrastructure, and cybersecurity decisions.

Collaboration & Administration : Work with key collaborators to meet nodes and data expectations; set up and manage support ticket systems to address platform and device issues; and create and maintain code and system documentation, maintenance, and certificate renewals. *, Leads and mentors a small team of 1-2 junior engineers, with the team expected to grow over time., Colorado State University strives to provide a safe study, work, and living environment for its faculty, staff, volunteers and students. To support this environment and comply with applicable laws and regulations, CSU conducts background checks for the finalist before a final offer. The type of background check conducted varies by position and can include, but is not limited to, criminal history, sex offender registry, motor vehicle history, financial history, and/or education verification. Background checks will also be conducted when required by law or contract and when, in the discretion of the University, it is reasonable and prudent to do so.

Requirements

  • Pre-employment Criminal Background Check (required for all new hires).

  • Valid driver’s license by employment start date.

  • Authorized to work in the United States by employment start date., * Bachelor’s degree in computer science, computer engineering or a related field.

  • Five years of direct experience supporting code, services, and deployments in production.

  • Fluent in Linux, including scripting, user management, networking, package management, SSH, and debugging.

  • Fluent in software engineering., * Experience leading or mentoring engineers.
  • Strong communication skills and a strong willingness to learn new tools and technologies on the job.
  • Familiarity with:
  • Kubernetes, including deploying and administering clusters.
  • Monitoring and data-collection tooling such as Prometheus and Grafana.
  • Cloud-based data stores such as object stores and time series databases.
  • Cybersecurity best practices, such as how to securely deploy a web service.
  • Embedded Linux devices such as Raspberry Pi or the NVIDIA Jetson and Orin family.
  • Software stacks needed to support AI.
  • Cloud infrastructure concepts such as time-series databases (e.g., InfluxDB), S3 storage, message brokers (e.g., RabbitMQ), caching (e.g., Redis), and web services.
  • Infrastructure as Code and configuration management tooling such as Ansible.
  • Data analysis and visualization in Python, with the ability to communicate issues using these tools.
  • CI/CD tooling such as GitHub Actions.

About the company

Colorado State University is not just a workplace; it’s a thriving community that’s transforming lives and improving the human condition through world-class teaching, research, and service. With a robust benefits package, collaborative atmosphere, and focus on work-life balance, CSU is where you can thrive, grow, and make a lasting impact.

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