CAST AI Logo

CAST AI

Senior Software Engineer - Storage Optimization

Reposted 7 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in European Union
7K-9K Annually
Senior level
Remote
Hiring Remotely in European Union
7K-9K Annually
Senior level
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.
The summary above was generated by AI
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.
#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

Similar Jobs

7 Hours Ago
Remote
EU
Senior level
Senior level
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
Develop and implement advanced 3D algorithms for CAD tools that improve the dental manufacturing process, ensuring high-quality output and integration with AI and automation.
Top Skills: C++EmscriptenReactThree.JsTypescriptWebglWebgpu
7 Hours Ago
In-Office or Remote
4 Locations
Expert/Leader
Expert/Leader
Blockchain • Fintech • Information Technology • Software • Financial Services • Cryptocurrency
Lead the Trading Operations team ensuring 24/7 operations, accurate settlements, and process automation. Oversee liquidity, P&L, and capital allocation while collaborating with multiple teams to improve efficiency and reporting.
7 Hours Ago
Remote
EU
Senior level
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software • Cybersecurity • Generative AI • Data Privacy
Lead and scale a high-performing engineering team for a cybersecurity product, driving system architecture, strategy, and technical execution.
Top Skills: AIBigQueryCloud-Native TechnologiesDistributed SystemsGoKubernetesMicroservices

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account