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# Software Engineer, Platform Engineering

- **Company:** IXL Learning
- **Location:** San Mateo, CA, United States
- **Experience:** Expert
- **Salary:** $130,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, C++ (Programming Language), Program Optimization, Databases, Web Servers, Python (Programming Language), Queueing Systems, Reliability Engineering, Software Engineering, Load Balancing, Grafana, Backend, Containerization, Kubernetes, Information Technology, Docker, Golang, Programming Languages
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/senior-software-engineer-platform-engineering-ixl-learning-7967518

## About the Role

* Bachelor's or advanced degree in computer science or a related discipline
 * 6+ years of professional hands-on Software Engineering, Site Reliability Engineering or Platform Engineering experience
 * Extensive experience with at least one programming language, e.g. Java, C++, Python, Go
 * Deep experience with cloud platforms (AWS or GCP) and containerized environments (Docker, Kubernetes)
 * Strong understanding of backend systems-web servers, message queues, databases, load balancers, etc.
 * Fluency in observability tools and methodologies
 * Proven ability to collaborate across teams and communicate effectively
 * Ability to quickly learn and work with a variety of technologies, bringing a passion for improving systems and modernizing tech stacks

## Description

* Execute strategic technical initiatives that deliver wide-reaching improvements to infrastructure and engineering workflows
 * Identify and solve core technical problems, with a focus on scalability, reliability, and reusability
 * Scope and execute complex projects from conception to delivery
 * Collaborate across teams and brands, partnering with application engineers and stakeholders to implement solutions at company-scale
 * Propose and implement architectural improvements to support long-term growth and resilience
 * Contribute hands-on through coding, infrastructure design, and system optimization


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