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.

About the role

You'll join one of several teams building the low-level systems behind CAST AI's multi-cloud automation platform. The work sits at the intersection of Kubernetes, cloud infrastructure, and Linux.

Depending on your strengths, you'll work in one of these areas:

• Cluster and node lifecycle - custom node bootstrapping across AWS, GCP, and Azure. Controllers and operators managing full node lifecycle. Bridging the gap between autoscaler decisions and running VMs - including working around limitations of managed Kubernetes platforms like EKS, GKE, and AKS.
• Cross-cloud provisioning - orchestrating infrastructure across regions and clouds. Workflow orchestration, provisioning integrations, networking and identity across cloud boundaries.
• Live container migration - zero-downtime relocation of running containers using CRIU checkpoint/restore, custom CRI-O and runc forks, and forked cloud CNI plugins. Memory page transfer, TCP session migration, process-level checkpoint/restore. Kernel-level Linux engineering applied to Kubernetes.
• Storage optimization - dynamic volume rightsizing, BtrFS compression, custom CSI drivers. Full storage stack from cloud disk APIs through filesystem internals to Kubernetes PV/PVC lifecycle.

Common across all teams: Go, deep Kubernetes, multi-cloud, building beyond what the ecosystem offers.

How we build

We invest heavily in agentic development and AI-powered tooling. Engineers work with code agents and automated workflows daily. We expect you to shape how these tools evolve.

Requirements:

• Strong backend fundamentals and production-grade coding, preferably Go.
• Hands-on Kubernetes internals, cloud infrastructure, or large-scale distributed systems experience.
• Clear English communication, collaborative and self-directed.
• Bias toward action and ownership.

What would make you stand out

• Deep knowledge of EKS, GKE, or AKS internals.
• Low-level Linux experience: process internals, networking (NAT, iptables, conntrack, SDN), filesystems, storage.
• Kubernetes or cloud-native OSS contributions.
• Cloud storage depth - block storage, CSI, volume management, filesystem internals.
• Container runtime experience (CRI-O, runc, containerd) or CRIU.
• Experience with AI coding agents and agentic development workflows.
• Comfort building where there's no playbook.

Responsibilities:

• Design, build, and operate backend services, Kubernetes operators, and controllers in Go across AWS, GCP, and Azure.
• Solve infrastructure-layer problems — networking, scheduling, storage, compute, or container runtime internals.
• Build and maintain high-throughput services (gRPC/REST) and async orchestration workflows.
• Shape public and internal APIs.
• Leverage and improve AI-powered development workflows.
• Participate in design reviews, code reviews, on-call, and customer deep-dives.

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

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

Engineering Manager

This isn't a coordination role. It's a people-first, delivery-accountable, technically credible leadership position at the heart of one of the most genuinely interesting engineering transformations in hospitality tech. You'll lead a team of 5–10 engineers through a live monolith-to-microservices migration, a frontend re-platform, and the shift to AI-first engineering — where 50–70% of code is already AI-generated and the management job has fundamentally changed as a result.

What Makes Us Different?

Duetto is the hospitality industry's leading revenue management platform, founded in 2012 by former Wynn Resorts executives who knew the industry needed better technology. We built the world's first Revenue & Profit Operating System — a suite of tools (GameChanger, ScoreBoard, BlockBuster, Advance and more) that goes beyond room pricing to give hotels, resorts and casinos a complete picture of their revenue and profitability. Trusted by clients ranging from independent boutique hotels to global chains, we've been named the #1 Revenue Management Software by HotelTechAwards four years running and the #1 Best Place to Work in Hotel Tech in 2025. Backed by GrowthCurve Capital since 2024, we're accelerating our investment in AI — and we're genuinely passionate about the industry we serve. We build products we're proud of, for customers we care about.

What You'll Be Doing

• You'll lead the people: running structured weekly 1:1s focused on growth and wellbeing, owning the full performance cycle, building hiring pipelines from scratch, and creating the psychological safety that lets engineers do their best work — including raising problems early and challenging assumptions, including yours.
• You'll own delivery: sprint planning, backlog refinement, roadmap trade-offs with your Product Manager, and the discipline to surface scope and timeline risks before they become surprises — you're a co-owner of the roadmap, not an executor of someone else's plan.
• You'll drive technical health: partnering with your Tech Lead on architectural direction, championing observability, documentation, and quality standards, and ensuring the team balances feature delivery with the technical investment that makes them faster over time.
• You'll lead through transformation: supporting your team through the monolith-to-microservices migration, the BLAST frontend platform shift, and the move to a generate-and-review engineering model — coaching engineers to evolve their craft as AI changes what great engineering looks like.
• You'll build team culture: designing sustainable on-call rotations, managing capacity with care, developing engineers at every seniority level, and modelling the work-life balance you want your team to have.
• You'll contribute to the wider org: shaping hiring standards, participating in engineering guilds, partnering with Product, Design, QE, and DevOps, and representing your team's perspective in quarterly planning and cross-functional forums.

What We're Looking For

You may be a good fit if you have:

• 3+ years managing engineering teams of 5 or more, with a track record of hiring, developing, and retaining engineers in a high-growth environment
• Experience building hiring pipelines from scratch — role profiles, structured interviews, offer negotiation, and intentional onboarding
• Demonstrated career development impact: you can speak concretely about engineers you've grown from mid to senior, or senior to staff
• Performance management experience including difficult feedback, written reviews, and PIPs
• Strong software engineering background — you've written production code and can hold a genuine conversation about systems design, API design, and data modelling trade-offs
• Working understanding of distributed systems, microservices, event-driven patterns, and CI/CD
• Remote-first leadership experience: you've built real trust and cohesion across timezones without geographic proximity
• A clear point of view on what engineering management means in an AI-first organisation — what changes about coaching, metrics, code review, and quality when 50–70% of code is AI-generated
• Experience working with or alongside teams using AI coding tools (Claude Code, GitHub Copilot, Cursor, or equivalent)

Strong candidates may also have:

• Familiarity with legacy modernisation — monolith decomposition, migration strategies, delivering features while re-platforming underneath
• Experience with revenue management, dynamic pricing, or B2B SaaS for enterprise hospitality
• Hands-on knowledge of our stack: Java/Spring Boot, TypeScript/React, Next.js, GraphQL, MongoDB, AWS
• Exposure to ML or data-intensive systems: real-time analytics, pricing optimisation, low-latency data processing

Why Duetto?

• You'll be managing at the frontier of AI-first engineering. With 50–70% of code AI-generated and custom agents and agentic workflows already in production, this is a rare opportunity to define what great engineering management looks like when code generation is no longer the bottleneck.
• The transformation is real and consequential. Live monolith decomposition, a frontend re-platform, and an AI-first shift — all simultaneously. These are the moments that define engineering careers and management reputations.
• Clear growth path. EM → Senior EM → Director of Engineering. Duetto promotes from within and takes management seriously as a discipline, not a consolation prize for engineers who stopped coding.
• The work matters. Your teams build systems that process real-time pricing decisions for global hotel brands. It's visible, high-stakes, and genuinely interesting.
• Benefits worth having. Equity participation, comprehensive health, dental and vision coverage, home office stipend, generous PTO, and a learning and development budget.

The Details

• Location: Croatia
• Work model: Remote, distributed across EMEA and Americas timezones
• Reports to: Director of Engineering / VP of Engineering
• Direct reports: 5–10 engineers (1–2 teams)

Duetto is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by applicable law.

Sound like you?

You don't need to have done everything on this list. If you're a people-first leader who's technically credible, genuinely curious about AI-augmented engineering, and energised by the idea of leading teams through real transformation — we'd love to hear from you.

#LI-REMOTE

Thousands of hotels, resorts, and casinos around the world depend on Duetto’s platform to run their revenue strategy — and you’ll be one of the people making sure it never lets them down. As a Senior DevOps Engineer, you’ll own the infrastructure that powers our global SaaS platform: designing for scale, building for reliability, and driving the kind of security-first culture that keeps us ahead of the curve. If you thrive in complex cloud environments, love solving hard problems, and want your work to have real, tangible impact — this is the role.

What makes us different?

Duetto is the hospitality industry’s leading revenue management platform, founded in 2012 by former Wynn Resorts executives who knew the industry needed better technology. We built the world’s first Revenue & Profit Operating System — a suite of tools (GameChanger, ScoreBoard, BlockBuster, Advance and more) that goes beyond room pricing to give hotels, resorts and casinos a complete picture of their revenue and profitability.

Trusted by clients ranging from independent boutique hotels to global chains, we’ve been named the #1 Revenue Management Software by HotelTechAwards four years running and the #1 Best Place to Work in Hotel Tech in 2025. Backed by GrowthCurve Capital since 2024, we’re accelerating our investment in AI — and we’re genuinely passionate about the industry we serve. We build products we’re proud of, for customers we care about.

What you’ll be doing

• Design and implement robust, scalable AWS infrastructure — supporting key system migrations, platform growth, and the reliability our customers depend on.
• Own the reliability, performance, and security of our production environment: high uptime, rapid incident resolution, and proactive capacity planning.
• Build and maintain CI/CD pipelines, deployment automation, and infrastructure-as-code using Terraform, Terragrunt, and Chef.
• Monitor system health using enterprise observability tools (Prometheus, Grafana, DataDog), defining metrics and response playbooks that get ahead of incidents before they happen.
• Lead security-first practices across the infrastructure estate — proactively addressing vulnerabilities and driving SOC 2 compliance.
• Partner with engineering teams to integrate operational requirements into the development lifecycle and align on architecture decisions.
• Champion AI adoption within DevOps and SRE workflows, evaluating tooling that increases team velocity and reduces toil.
• Respond to on-call incidents with urgency — troubleshoot complex issues, lead detailed root cause analyses, and implement fixes that prevent recurrence.

What we’re looking for

You may be a great fit if you have:

• 5+ years in a DevOps, SRE, or infrastructure engineering role.
• Hands-on AWS experience across IAM, VPC, EC2, ELB, RDS, S3, Lambda, API Gateway, Secrets Manager, KMS, CloudWatch, and CloudTrail — including multi-account management and SSO.
• Proficiency with Terraform for infrastructure-as-code, plus experience with configuration management tools like Chef or Ansible.
• Experience with CI/CD tooling including GitHub, GitHub Actions, JFrog Artifactory, and Jenkins, with familiarity with GitOps methodologies.
• Strong working knowledge of enterprise monitoring platforms — Prometheus, Grafana, or DataDog.
• Solid troubleshooting skills and a track record of leading root cause analyses and implementing durable fixes.
• Proficiency reading Java, Ruby, Bash/Zsh, HCL, Python, and JavaScript.
• Experience with SOC 2 compliance and security-first infrastructure practices.
• Comfort with a weekly on-call rotation.

Strong candidates may also have:

• Experience with container and orchestration technologies — Docker, ECS, or EKS.
• Experience migrating workloads from on-prem or colocation environments to AWS.
• Familiarity with Windows Server, SQL Server, IIS, and .NET environments.
• Experience administering and synchronising MongoDB replica sets.
• Knowledge of ISO 27001, Layer 7 load balancing, or Terragrunt.
• Background in hospitality technology.
• A degree in Computer Science or a related field — or equivalent experience.

Why Duetto?

• Infrastructure that matters — your work directly underpins a platform that hotel operators around the world rely on every day. The stakes are real, and so is the satisfaction.
• AI is how we work — we’re not just talking about AI adoption; we’re actively investing in it across every function, including DevOps. You’ll have space to evaluate and implement tooling that makes a genuine difference.
• A team that moves fast — you’ll report into the Senior DevOps Manager and work alongside engineers who are serious about craft, reliability, and continuous improvement.
• Growth with purpose — backed by GrowthCurve Capital, we’re scaling our platform and our team. There’s a lot being built here, and senior engineers have real influence over how it’s done.
• Come as you are — we’re a diverse, distributed team that values different perspectives and builds inclusively.

The details

Location:  Croatia

Work model:  Remote

Reports to:  Senior DevOps Manager

Duetto is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by applicable law.

Sound like you?

We’d love to hear from you — even if you don’t tick every box. Diverse perspectives and non-traditional paths make our team stronger. Apply and let’s talk.

#LI-REMOTE