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Senior Software Engineer – Storage Optimization

European Union

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Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn’t work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives

We’re headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.

Unicorn momentum

In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we’re just getting started.

Join us as we build the future of autonomous infrastructure.

 

About the role

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.
 

Here are some of the tools we use daily:

  • 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.

Requirements:

  • 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.

Responsibilities:

  • 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)

What’s in it for you?

  • 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.

 

Hiring process

  • Screening call with Recruiter
  • Hiring Manager interview
  • Technical interview (system design)
  • Live coding
  • Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.
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