Το LinkedIn και τρίτα μέρη χρησιμοποιούν ουσιώδη και μη ουσιώδη cookie για την παροχή, τη διασφάλιση, την ανάλυση και τη βελτίωση των Υπηρεσιών τους, καθώς και για την προβολή σχετικών διαφημίσεων (όπως επαγγελματικές διαφημίσεις και αγγελίες θέσεων εργασίας) εντός και εκτός LinkedIn. Μάθετε περισσότερα στην Πολιτική για τα Cookie μας.
Επιλέξτε Αποδοχή για να παράσχετε τη συναίνεσή σας ή Απόρριψη για να απορρίψετε τα μη ουσιώδη cookie για αυτήν τη χρήση. Μπορείτε να ενημερώσετε τις επιλογές σας οποιαδήποτε στιγμή από τις ρυθμίσεις σας.
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.
About the role
Autoscaler – Automates Kubernetes node autoscaling to optimize clusters, balance workloads, remove underutilized nodes, and dynamically allocate capacity in real-time, thereby reducing cluster costs by half.
Here are some of the tools we use daily:
Languages: GoLang (primary), Python (secondary for some cases)
PostgreSQL and Cloud Object Storage for persistence
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
Deep understanding of cloud platforms: hands-on experience with cloud platforms like AWS, Google Cloud Platform (GCP), Microsoft Azure, and tools such as Kubernetes for containerization and orchestration
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.
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.
Enjoy a flexible, remote-first global environment.
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.
Επίπεδο αρχαιότητας
Μεσαίο-ανώτερο επίπεδο
Τύπος εργασίας
Πλήρους απασχόλησης
Αρμοδιότητες θέσης εργασίας
Βιομηχανίες
Οι παραπομπές αυξάνουν τις πιθανότητές σας για συνέντευξη κατά Cast AI 2x
Ξεκλειδώνουμε τη γνώση στην κοινότητα με έναν νέο τρόπο. Οι ειδικοί προσθέτουν χρήσιμες πληροφορίες απευθείας σε κάθε άρθρο, με τη βοήθεια της τεχνητής νοημοσύνης.