Cloud Software Engineer, Platform.sh

• Programming Languages: Proficiency in Python or Go is preferred. Experience with other languages is a plus, and we'd be excited to hear about your expertise
• Linux Systems Expertise: Solid experience working with Linux systems, including configuration, performance tuning, and troubleshooting
• Service Configuration and Management: Familiarity with running and configuring services like Redis, Elasticsearch, and other critical infrastructure components
• Resiliency and Troubleshooting: Strong ability to troubleshoot complex system issues by analyzing traces and logs, ensuring robust and reliable systems
• Pragmatic Problem-Solving: A practical, solution-oriented approach to complex challenges, efficiently addressing issues with effective solutions
• Communication and Collaboration: Excellent communication skills, with the ability to engage in discussions, share knowledge, and collaborate with diverse teams and stakeholders

Desirable

• As a Cloud Software Engineer on the Images & Clustering team, you’re part of the core engineering group that builds the infrastructure our entire platform runs on
• You’re responsible for the container images that power customer applications, from language runtimes to essential services
• Your work ensures that every app deployed on Platform.sh has a stable, secure, and performant environment from day one
• This role sits at an intersection of low-level systems work and customer impact
• You maintain and evolve the building blocks that developers rely on, keeping pace with upstream changes and ensuring users can adopt them easily
• At the same time, you contribute to clustering solutions that guarantee high availability, reliability, and resilience, critical to how we deliver value as a platform
• You’re not just making sure applications run smoothly; the work you do directly helps us scale, deliver new features faster, and provide a seamless experience for developers managing complex applications at scale
• Improve and Maintain Container Images: Continuously enhance and optimize our suite of container images, ensuring they meet high standards of performance, reliability, and security, and providing a stable foundation for customer applications
• Manage Clustering Solutions: Investigate and resolve clustering issues by analyzing logs and identifying solutions that ensure high availability and seamless service deployment across the platform
• Integrate External Software Dependencies: Package third-party software for integration into our container images, ensuring compatibility and ease of use for developers deploying complex applications
• Enhance Deployment Workflows: Manage and fine-tune GitLab CI pipelines to streamline the deployment process, improve reliability, and ensure rapid, efficient delivery of updates and new features
• Collaborate with Cross-Functional Teams: Work closely with product, security, and infrastructure teams to ensure that container images and clustering solutions align with both company goals and customer requirements
• Troubleshoot and Optimize Services: Identify and resolve issues in container images and clustering systems, ensuring backwards compatibility while optimizing performance and resource usage for maximum efficiency
• Drive Innovation and Automation: Continuously seek opportunities to automate processes, improve testing coverage, and enhance deployment workflows, driving platform improvements and scalability

• You can expect 4 interviews on Google Meet to follow the order below. Should you successfully move through the entire process you will have the opportunity to meet with a variety of Platformers
• Our goal is to ensure you can make the most informed decision on whether this role, and our culture aligns with what you’re looking for in your future working environment
• 45 Minutes with Talent Acquisition
• 60 Minutes with Hiring Manager (Director, Engineering)
• 60 Minutes with Team (ICs)
• 45 Minutes with Executive (SVP, Engineering)
• All roles require background checks