The role involves optimizing Kubernetes storage management through automated processes to reduce costs and improve reliability, requiring strong engineering skills and knowledge of cloud platforms.
Why Cast AI? Here are some of the tools we use daily:
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, rightsizes resources, and rebalances clusters without manual intervention, ensuring applications run faster, more reliably, and more efficiently.
Headquartered in Miami, Florida, Cast AI has employees in more than 32 countries worldwide and supports some of the world’s most innovative teams running their applications on all major cloud, hybrid, and on-premises environments. Over 2,100 companies already rely on Cast - from BMW and Akamai to Hugging Face and NielsenIQ.
What’s next? Backed by our $108M Series C, we’re doubling down on making APA the new standard for DevOps and MLOps, and everything in between.
Storage Optimization automates Kubernetes storage management by dynamically rightsizing volumes, eliminating unused resources, and optimizing performance. This helps developers significantly reduce storage costs and improve application reliability without manual intervention.
- Languages: GoLang (primary), Python (secondary for some cases)
- Cloud & Orchestration: Kubernetes, AWS, GCP, Azure
- Databases & Storage: PostgreSQL, Cloud Object Storage
- Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs
- Observability: Prometheus, Grafana, Loki, Tempo
- CI/CD & GitOps: GitLab CI with ArgoCD.
- Strong software engineering skills with experience in distributed systems and backend development (ideally GoLang, but not a hard requirement as long as you’re willing to transition to it)
- Strong debugging, optimization, and performance-tuning skills
- Advanced level of experience with Kubernetes
- Deep understanding of cloud platforms: hands-on experience with cloud platforms like AWS, Google Cloud Platform (GCP), Microsoft Azure
- CI/CD and DevOps practices experience
- Strong English skills, both verbal and written
- Ability to work independently and collaboratively within a team
- Startup mindset: adaptable, proactive, and comfortable with ambiguity
- A proactive, problem-solving mindset with a "yes we can" attitude.
- Optimize workload placement and cluster right-sizing
- Collect and analyze cluster data to drive scaling decisions
- Continuously improve consolidation and efficiency strategies
- Explore emerging cloud and hardware technologies (e.g., GPU sharing, new instance types)
- Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
- Equity options.
- Private health insurance.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- Annual hackathon to spark new ideas and strengthen team bonds.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.
#LI-Remote
Top Skills
Argocd
AWS
Azure
Cloud Object Storage
GCP
Gcp Pub/Sub
Gitlab Ci
Go
Grafana
Grpc
Kubernetes
Loki
Postgres
Prometheus
Python
Rest
Tempo
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With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
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