Senior Software Engineer - LIVE

CAST
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
€ 108K

Job location

Remote

Tech stack

Amazon Web Services (AWS)
Azure
Protocol Stack
Software Debugging
Linux
DevOps
File Systems
Distributed Systems
Infrastructure as a Service (IaaS)
OSI Models
Akamai
Software Engineering
System Availability
Backend
Kubernetes
Iptables
HuggingFace
Machine Learning Operations
Go

Job description

environments. Over 2,100 companies already rely on Cast - from BMW and Akamai to Hugging Face and NielsenIQ. Backed by our $108M Series C, we're expanding the standard of APA for DevOps and MLOps. About the role The LIVE Team develops and maintains critical infrastructure for container live migrations, ensuring that our platform can seamlessly transfer workloads while maintaining application availability. This involves a blend of software engineering, knowledge of distributed systems, and expertise in containerization technology, networking, and a deep understanding of Kubernetes. Requirements * Strong software engineering skills with experience in distributed systems and backend development (ideally in GoLang, but a willingness to transition to it is sufficient). * Deep knowledge of low-level Linux details at process level and below, including networking and filesystems. * Experience with the network stack, comfortable with OSI layers and software-defined networks. * Proficient in

Requirements

debugging, optimisation, and performance-tuning of applications. * Experience with IaaS building blocks in any of AWS, Azure, or GCP. * Experience with low-level networking (NAT, iptables, conntrack, etc.) is a huge plus. * Deep Kubernetes experience is a huge plus, as a big part of the role is hacking Kubernetes to do what it wasn't intended to do. * Strong English language skills, both verbal and written. * Proactive problem-solving mindset with a "yes, we can" attitude. * Located in a European country within GMT +0 to GMT +3 time zones and comfortable working fully remote. Responsibilities * Design, develop, and implement live migration features that ensure minimal downtime and seamless transitions for stateful workloads within Kubernetes. * Collaborate with cross-functional teams. * Troubleshoot and debug issues, ensuring high availability and reliability of the platform. * Document design decisions, processes, and system behaviours to

Benefits & conditions

facilitate knowledge sharing within the team. * Stay up-to-date with industry best practices, tools, and techniques. * Actively contribute to the continuous improvement of our systems and processes. * Participate in code reviews and provide constructive feedback to team members to enhance overall code quality. What's in it for you * Competitive salary (€6,500-€9,000 gross, depending on experience). * Flexible, remote-first global environment. * Collaboration with a global team of cloud experts. * Equity options. * Fast-paced workflow with feature projects completed in 1-4 weeks. * 10% of work time on personal projects or self-improvement. * Learning budget for professional and personal development, including access to international conferences and courses. * Annual hackathon to spark new ideas and strengthen team bonds. * Team-building budget and company events. * Equipment budget. * Extra days off for healthy work-life balance. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Software Development #J-18808-Ljbffr

About the company

Senior Software Engineer - LIVE Join to apply for the Senior Software Engineer - LIVE role at Cast AI. We're looking for a highly skilled senior software engineer with deep expertise in containers and systems programming to join the LIVE team. Why Cast AI Cast AI is the leading Application Performance Automation (APA) platform, enabling customers to cut cloud costs, improve performance, and boost productivity - automatically. Built originally for Kubernetes, Cast AI goes beyond cost and observability by delivering real-time, autonomous optimization across any cloud environment. The platform continuously analyzes workloads, right-sizes resources, and rebalances clusters without manual intervention, ensuring applications run faster, more reliably, and more efficiently. Headquartered in Miami, Florida, we have employees in more than 32 countries worldwide and support some of the world's most innovative teams running their applications on all major cloud, hybrid, and on-premises

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