Systems & Software Engineer
Platform Engineering Systems and Software Engineer LF Education, Linux Foundation The Platform Engineering Systems and Software Engineer in the LF Education department is responsible for developing and maintaining the delivery platform (P3), which enables LF Education's hands-on certifications and interactive training labs, and all supporting business services. Development and maintenance efforts will cover everything from learning content and certification exam procurement, delivery, scoring, and learner record management. The P3 platform is built on cloud native technologies and delivers live interactive training and certification lab environments to thousands of learners every month. LF Education's goal is to increase entry-level technical talent for open source technologies while providing a revenue growth platform for the foundation and projects. The P3 platform plays a foundational role in achieving this goal. Key Responsibilities and Expectations
- Collaboration — Collaborate closely with stakeholders to identify, understand, and document project requirements. Collaborate effectively with team members, provide and receive constructive feedback, and align with team goals.
- Team Standards — Work within existing team standards to ensure consistency in solution delivery and processes, while actively contributing to continuous improvement of standards based on personal experience and project need.
- Test-Driven Development — Utilize test-driven development methodologies to translate stakeholder needs into high-quality, maintainable solutions.
- Personal Growth — Demonstrate a passion for improving expertise and applying new learnings to your work, while sharing learnings with the team to foster improvement and innovation.
- AI Innovation — Help drive the adoption of emerging AI paradigms, including agentic development and LDD, to continually enhance LF Education's delivery platform and learner management capabilities.
Skill and Role Requirements
- Proficiency in modern AI development practices, specifically architecting and leveraging AI agents, Large Language Models (LLMs), and LDD principles
- 3+ years of experience working with production workloads running on open source and cloud-native technologies such as Linux and Kubernetes
- Proficiency in at least one programming language (Go and Python are used)
- Proficient with test-driven development
- Proficiency with Git, including cherry picking, squashing, and rebasing
- Proficiency with building and maintaining CI/CD pipelines (GitHub Actions is used)
- Proficiency with infrastructure as code (Terraform is used)
- Hands-on technical experience managing cloud services at scale (AWS and OCI are leveraged)
- Practical experience with monitoring and observability systems
- Experience designing, writing, and working with APIs
- Strong ability to communicate concepts, ideas, and requirements through written communication and technical diagrams
- Ability to facilitate efficient communication across multiple time zones through flexible availability (minimum 2 hours crossover within the 13:00–00:00 UTC window)
- Experience speaking with business stakeholders to identify and solve the right problems
- Strong ability to work collaboratively — propose, present, and discuss ideas and solutions ("Collaborative by choice, autonomous when necessary")
- Excellent communication and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical audiences
- Ability to work autonomously
- Ability to participate in an on-call roster, which may include some weekend or after-hours work
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