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.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

We are hiring across multiple teams!

As a Senior Software Engineer, you will have the opportunity to work on different key features of our product. We are currently hiring Senior Software Engineers for the following teams:

- Workload Optimization - Automates workload resource management by dynamically adjusting resource allocations, helping developers significantly reduce costs and improve application reliability.

- Karpenter - The Karpenter team powers the integration between Karpenter and Cast AI, bringing enterprise capabilities to the most popular open source Kubernetes autoscaler. We enhance Karpenter with advanced features that improve application reliability and performance while optimizing costs. By joining the team, you’ll bridge open source innovation with enterprise requirements, directly impacting how organizations run Karpenter at scale.

- Reporting - Builds a scalable reporting system that ingests millions of rows per second into our time-series databases, providing insights into cost savings, workload efficiencies, and Cast AI automation impact.

- Pricing - Drives the synchronization of public and customer cloud resources, availability, and dynamic pricing across all major cloud providers. Empowers autoscaling by leveraging discounts, commitments, and cross-cluster tracking to maximize savings. Provides a reliable source of truth for node pricing, resources, components, discounts, and commitments.

- 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.

- Identity -  Builds and maintains the trust and access foundation for the entire platform, ensuring every user, service, and workload authenticates and interacts securely and seamlessly at scale.

- Billy -  Powers the critical day-2 operations layer of the platform - from billing and audit trails to notifications and feature flags - ensuring the platform runs reliably, transparently, and at scale for every customer, every day.

Here are some of the tools we use daily:

• Programming Languages: Go
• 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:

• Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
• Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) - including real understanding of how compute, networking, and storage work under the hood.
• Understanding of Kubernetes internals - autoscaling and networking.
• You've personally driven a complex project end-to-end.
• Strong debugging, optimization, and performance-tuning skills - including query profiling, index design, and database performance tuning beyond ORM usage.
• You've run observability tooling (Prometheus, Grafana, OpenTelemetry) in production.
• CI/CD and DevOps practices experience.
• Strong English skills, both verbal and written.
• Startup mindset: adaptable, proactive, and comfortable with ambiguity.

Responsibilities:

• Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale.
• Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management.
• Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks).
• Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services.
• Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
• Work with time-series data, cloud provider APIs, and Kubernetes control plane internals.

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.
• 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

About the team + role

What you’ll do

• Lead and grow a team of backend engineers responsible for Bitstamp’s core derivatives trading platform
• Set the technical direction for high-performance services including order matching, risk systems, and consensus-based infrastructure
• Drive project execution and ensure systems meet SLAs around low latency, data integrity, and uptime
• Collaborate closely with product, security, and infrastructure teams to support market expansion and new contract listings
• Foster a high-trust, inclusive team culture that prioritizes speed, accountability, and continuous improvement

What you bring

• Experience managing or tech leading backend engineering teams in performance-critical environments
• Deep technical background in Golang, distributed systems, and cloud-native architecture (preferably AWS)
• Proven ability to scale infrastructure and services to meet demanding throughput and latency requirements
• Passion for mentoring engineers, setting a high technical bar, and growing top-tier teams
• Clear communication skills and ability to lead through complexity, ambiguity, and urgency

Full-time position
Hybrid role, 3 days a week in our Ljubljana, Slovenia office. 

Life at Plume

At Plume, we believe that technology isn't about moving faster; it's about making life’s moments better. Which is why we’ve built the world's first and only open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at a massive scale.

We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We’re expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data. 

With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can’t do it exceptionally well, we don’t do it. It’s how we've assembled a team of world-class builders, thinkers, and doers. And it’s how we’re reinventing what’s possible every day.

Senior Technical Program Manager

We're looking for a Senior Technical Program Manager to take the wheel on some of our most exciting and high-impact initiatives - spanning automation, AI, and CI/CD. You'll be the connective tissue across engineering teams, making sure the right things get built, shipped, and measured.

This isn't a role for someone who likes to stay in the background. You'll drive clarity in ambiguous situations, call out blockers before they become fires, and help teams move faster without cutting corners.

Responsibilities

Program Management & Execution

• Own end-to-end planning, tracking, and delivery of programs across automation, AI, and CI/CD domains.
• Define and maintain program roadmaps, milestones, dependencies, and success metrics.
• Run crisp, efficient rituals (standups, reviews, retrospectives) that actually move things forward.
• Proactively surface risks and drive mitigation plans before issues escalate.

CI/CD & Automation

• Partner with engineering teams to track and accelerate initiatives that improve CI/CD pipelines, release velocity, and deployment reliability.
• Champion automation-first thinking across the SDLC — from testing and build pipelines to monitoring and incident response.
• Measure and report on pipeline health, lead time, and deployment frequency.

AI Initiatives

• Manage programs introducing AI-driven tools and workflows into engineering processes.
• Track adoption and impact of AI-enabled development tools and automation frameworks.
• Coordinate cross-team integration of AI technologies into engineering platforms.

Cross-Functional Leadership

• Serve as the primary point of coordination across engineering, product, SRE, and leadership stakeholders.
• Build strong working relationships across time zones and disciplines — you know how to get alignment without being the bottleneck.
• Communicate program status clearly and confidently to both technical and non-technical audiences.
• Drive a culture of accountability, transparency, and continuous improvement.

Qualifications

• 5+ years of experience in technical program management, with a track record of delivering complex, cross-functional programs.
• Deep Jira expertise, including project configuration, custom workflows, dashboards, and advanced JQL querying, with the ability to leverage Jira data (velocity trends, cycle time, sprint burndown) to drive decisions and proactively identify risks such as scope creep.
• Proven experience driving end-to-end Agile delivery for technical programs, including facilitating sprint planning (capacity planning, backlog refinement, story estimation), daily stand-ups, sprint reviews, and retrospectives that translate into measurable improvements across automation, AI, and CI/CD initiatives.
• Excellent written and verbal communication skills in English, with the ability to adapt messaging appropriately for different audiences, from senior executives to technical stakeholders such as staff engineers.
• Strong project management skills with the ability to bring structure and clarity to complex initiatives, maintain a high level of attention to detail, and consistently deliver outcomes within defined timelines.

Bonus points if you have:

• Experience in SaaS, networking, or connected devices.
• Familiarity with agile and scaled agile frameworks.
• Background working across globally distributed teams.
• Strong grasp of CI/CD concepts, DevOps practices, and the software development lifecycle.
• Hands-on experience managing AI or data-driven initiatives (you don't need to write the models, but you need to understand the landscape).

Why Plume

• Work on technology that reaches millions of real people in their homes every day.
• Hybrid flexibility — we believe in in-person collaboration and personal autonomy.
• A culture that values directness, curiosity, and getting things done.
• Competitive compensation, equity, and benefits.