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

Let's start with the role

What you will bring:

As some of our MongoDB and CockroachDB platforms already run on Kubernetes (OpenShift), the role requires:

• Working-level familiarity with Linux environments.
  
  
• Basic hands-on exposure to Kubernetes/OpenShift concepts.
  
  
• Understanding of Infrastructure-as-Code tools such as Ansible and Terraform.
  
  
• Ability to understand deployments, troubleshoot issues, and collaborate effectively with SRE / Platform teams.
  
  
• Experience operating databases in containerized environments.

Kaizen Gaming Perks

• 🏃 A buddy will support you with your onboarding;
• 🕑 Hybrid way of working;
• 💸 Competitive pay & bonus scheme;
• ⭐Developmental 360° feedback framework;
• 💰 Monthly meal allowance;
• 👩‍⚕️ Private health insurance for you and your family;
• 📚 Unlimited access to Udemy & continuous training;
• 👨‍👩‍👧‍👦 Family Support.

Let's start with the role

As the team lead of an AI product team you will lead and guide the team's efforts in delivering high impact AI products. You will be at the core of AI developments, analyzing data, building machine learning models, collaborating with the tech team to create successful AI products. 

The ideal candidate will combine a deep understanding of machine learning algorithms and proven extensive experience in building  ML/AI powered applications in production along with previous experience of leading and managing AI teams.

As a Data Science Team Lead, you will:

• Manage a team of 5 to 7 skilled data scientists and machine learning engineers. 
• Translate product requirements to machine learning problems and identifying areas where AI can have the most business impact;
• Analyze data to identify significant patterns and generate insights;
• Perform exploratory data analysis (EDA) and feature engineering to support the modeling process;
• Implement best practices on model selection, parameter tuning and optimization.
• Run comparative experiments for model training;
• Analyze ML metrics to evaluate different potential solutions;
• Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production environments;
• Mentor and share knowledge with more junior members and guide the team through complex projects. 

What you’ll bring

• Previous experience as a people manager;
• Expert knowledge of machine learning algorithm and their theoretical foundations;
• Extensive hands-on experience in delivering machine learning models to production;
• Experience in developing MLOps solutions;
• Knowledge of Deep learning;
• Proficiency in Python’s machine learning ecosystem and solid software engineering skills (OOP);
• Strong skills in teamwork, communication, and analytical thinking;
• Fluency in English, both oral and written.

• Experience with Big Data tools  (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
• Previous experience in pricing optimisation;
• Previous experience in forecasting;
• Previous experience in the betting industry.

Kaizen Gaming Perks

• 🕑 Hybrid way of working;
• 🏃 A buddy will support you with your onboarding;
• 💸 Competitive pay & bonus scheme;
• ⭐Developmental 360° feedback framework;
• 💰 Monthly meal allowance;
• 👩‍⚕️ Private health insurance for you and your family;
• 📚 Unlimited access to Udemy & continuous training;
• 👨‍👩‍👧‍👦 Family Support.
• #LI-HYBRID
• #LI-AP

Let's start with the role

As a Senior Product Manager in the AI department, you will define and drive the vision and long-term strategy for Artificial Intelligence at Kaizen. You will lead a team of diverse AI product professionals to support development of AI-empowered products by using product and agile best practices in order to maximize the business value of the team's deliverables. This is a unique role that combines product leadership skills and knowledge of the machine learning / AI product lifecycle.

As a Senior AI Product Manager you will

• Define the AI product vision and strategy in alignment with Kaizen’s vision and strategy;
• Define success metrics (KPIs) and track the performance of AI products;
• Collaborate with stakeholders to obtain domain expertise, gathering business and customer requirements;
• Maintain or oversee the ΑΙ roadmap, ensuring impact-driven prioritization, data driven decision making, problem validation and alignment with internal stakeholders;
• Contribute or lead discovery process;
• Provide input towards measures of success for initiatives in conjunction with product owner & analyst;
• Work closely with the AI engineering management team in order to execute the strategy and deliver high-quality AI products and solutions;
• Conduct market research and competitive analysis to identify trends and opportunities across products and the wider Gaming industry;
• Communicate product updates to stakeholders at all levels of the organization;
• Mentor a team of product owners and analysts to support their growth. Manage them effectively to ensure successful completion of their goals;

• Ideate net new ideas for value across Kaizen products; 
• Support the team and organization by using both product and agile best practices;
• Assist with go to market strategy, design thinking workshops and other product practices, as and when required. 

What you’ll bring

Must have:

• 5+ years of experience in a product management role, ideally in a B2C online business.
• Proven track record of successfully launching and managing digital products from concept to launch. 
• Strong people management skills with experience leading cross-functional teams of product owners, product managers and product analysts.
• Strong analytical and problem-solving skills, with the ability to use data to drive decision-making. 
• Excellent communication and presentation skills, with the ability to communicate the AI product vision and strategy clearly and effectively to a broad audience of internal and external stakeholders.
• Experience working in a dynamic, fast-paced environment and the ability to adapt quickly to changing priorities.

Nice to have:

• A deep understanding of traditional AI and genAI technologies.
• Experience in building data-intensive and AI-empowered digital products.
• Experience with A/B testing methodologies and experimental design.
• Knowledge of regulatory requirements and compliance standards related to AI and data (e.g. AI Act, GDPR).

We're looking for someone who is passionate about AI and wants to be at the forefront of innovation in the igaming industry. Join us in shaping the future of gaming with “wow” experiences that thrill and delight players around the world. 

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay and bonus scheme
• 💰 Monthly meal allowance 
• ⭐Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support
• #LI-Hybrid
• #LI-ap1

Let's start with the role

Back in 2021 we aimed to reform our team and increase its size twofold. After successfully achieving this goal, and looking ahead to 2026, our focus remains on crafting our skills and making Kaizen a "Mobile First" company.

Our mobile team consists of 17+ iOS Engineers and 18 Android Engineers and they are complemented by Software Engineers in Test, for the quality perspective.

Our Engineers work either in our Mobile Infrastructure team or they actively contribute to our cross-functional feature squads.

Our mobile applications have a widespread user base, reaching millions of people across many countries and continents. We use Swift/Kotlin to create a quality codebase and we heavily invest in covering our codebase with tests on all levels. Our goal is to enhance our technical practices and move to the next technical level.

Tech Stack: Swift, Alamofire, SwiftUI components, Modular architecture, GitLab for source code management, Bitrise for CI/CD, XCTest for Unit Testing, XCUITest for UI Testing, MVC to MVP, SwiftLint, Structured Concurrency, Firebase, Figma for designs, Transifex for localization

Supportive Stack/Processes: Scrum/Kanban, Jira / Confluence, Firebase / Google Analytics / Google Tag Manager, Pair programming, Unit testing, GitFlow, Code Reviews

Being part of the Infrastructure team, you will:

• Help shape the new era of the company mobile wise
• Implement our technology roadmap to the highest of quality standards
• Affect the technological vision of the iOS chapter
• Work on challenging tasks and constantly hone your technical skills

Being part of the feature squads, you will:

• Contribute to and lead each step of the product development process, from ideation to implementation to release while architecting and building solutions that can scale to support millions of users.
• See the big picture and identify inefficiencies and opportunities for meaningful improvements.
• Raise the bar to make Kaizen iOS engineering truly the best-in-class by improving best practices, producing exemplary code, documentation, automated tests, and thorough and precise monitoring.
• Conduct thorough testing, identify and address performance bottlenecks, and optimize application performance.
• Mentor and guide junior and mid-level engineers, fostering a culture of continuous learning and improvement.

What you’ll bring

• Expertise in Swift programming language.
• Strong understanding of software development principles, capabilities, and limitations of the iOS platform.
• Extensive experience with code testing methodologies, such as unit testing and integration testing.
• Proficient in version control systems, such as Git.
• Experience with continuous integration and continuous deployment (CI/CD) processes.
• Strong problem-solving skills and attention to detail.
• Excellent communication and leadership skills.

Kaizen Gaming Perks

• 🕑 Hybrid way of working;
• 🏃 A buddy will support you with your onboarding;
• 💸 Competitive pay & bonus scheme;
• ⭐Developmental 360° feedback framework;
• 💰 Monthly meal allowance;
• 👩‍⚕️ Private health insurance for you and your family;
• 📚 Unlimited access to Udemy & continuous training;
• 👨‍👩‍👧‍👦 Family Support.

Let's start with the role

Back in 2021 we aimed to reform our team and increase its size twofold. After successfully achieving this goal, and looking ahead to 2026, our focus remains on crafting our skills and making Kaizen a "Mobile First" company.

Our mobile team consists of 17+ iOS Engineers and 18 Android Engineers and they are complemented by Software Engineers in Test, for the quality perspective.

Our Engineers work either in our Mobile Infrastructure team or they actively contribute to our cross-functional feature squads.

Our mobile applications have a widespread user base, reaching millions of people across many countries and continents. We use Swift/Kotlin to create a quality codebase and we heavily invest in covering our codebase with tests on all levels. Our goal is to enhance our technical practices and move to the next technical level.

Tech Stack: Swift, Alamofire, SwiftUI components, Modular architecture, GitLab for source code management, Bitrise for CI/CD, XCTest for Unit Testing, XCUITest for UI Testing, MVC to MVP, SwiftLint, Structured Concurrency, Firebase, Figma for designs, Transifex for localization

Supportive Stack/Processes: Scrum/Kanban, Jira / Confluence, Firebase / Google Analytics / Google Tag Manager, Pair programming, Unit testing, GitFlow, Code Reviews

Being part of the Infrastructure team, you will:

• Help shape the new era of the company mobile wise
• Implement our technology roadmap to the highest of quality standards
• Affect the technological vision of the iOS chapter
• Work on challenging tasks and constantly hone your technical skills

Being part of the feature squads, you will:

• Contribute to and lead each step of the product development process, from ideation to implementation to release while architecting and building solutions that can scale to support millions of users.
• See the big picture and identify inefficiencies and opportunities for meaningful improvements.
• Raise the bar to make Kaizen iOS engineering truly the best-in-class by improving best practices, producing exemplary code, documentation, automated tests, and thorough and precise monitoring.
• Conduct thorough testing, identify and address performance bottlenecks, and optimize application performance.
• Mentor and guide junior and mid-level engineers, fostering a culture of continuous learning and improvement.

What you’ll bring

• Expertise in Swift programming language.
• Strong understanding of software development principles, capabilities, and limitations of the iOS platform.
• Extensive experience with code testing methodologies, such as unit testing and integration testing.
• Proficient in version control systems, such as Git.
• Experience with continuous integration and continuous deployment (CI/CD) processes.
• Strong problem-solving skills and attention to detail.
• Excellent communication and leadership skills.

Kaizen Gaming Perks

• 🕑 Hybrid way of working;
• 🏃 A buddy will support you with your onboarding;
• 💸 Competitive pay & bonus scheme;
• ⭐Developmental 360° feedback framework;
• 💰 Monthly meal allowance;
• 👩‍⚕️ Private health insurance for you and your family;
• 📚 Unlimited access to Udemy & continuous training;
• 👨‍👩‍👧‍👦 Family Support.

Let’s start with the role

We are seeking a highly motivated and experienced Technical Project & Partner Manager to join our dynamic team. This role is ideal for a professional who excels at managing relationships with external development vendors and has a deep understanding of the technical project lifecycle within the iGaming industry. 

You will be the primary point of contact for our key partners, overseeing technology projects from initiation to completion and ensuring they are delivered on time, within budget, and according to specifications. In addition, you will manage relationships with external vendors, ensuring the delivery of high-quality services and products, optimizing vendor performance, and mitigating associated risks. The ideal candidate is a strategic thinker with excellent communication skills, a proven track record in project and vendor management, and a passion for the online gaming world.

As a Technical Project Manager, you will:

Vendor Management:

• Identify, evaluate, and select suitable vendors for IT projects and services.
• Negotiate contracts, service level agreements (SLAs), and pricing with vendors.
• Manage vendor relationships by ensuring clear communication, collaboration, and alignment with project goals.
• Monitor vendor performance against contractual obligations and SLAs.
• Evaluate vendor performance, identify areas for improvement, and address any performance issues.
• Manage vendor contracts, ensuring compliance with terms and conditions.
• Mitigate risks associated with vendor relationships.
• Ensure the delivery of required services or products within budget and timelines.
• Assess and onboard specialized AI technology partners, evaluating their agentic AI capabilities, integration readiness, and compliance with strict industry regulations.

Project Management:

• Define project scope, objectives, and deliverables in collaboration with internal and external stakeholders.
• Develop and manage detailed project plans, including timelines, budgets, and resource allocation.
• Lead and manage project teams, ensuring effective communication, collaboration, and performance.
• Monitor project progress, identify and resolve issues, perform escalations when necessary and track key performance indicators (KPIs).
• Ensure projects adhere to project management methodologies and best practices.
• Evaluate new technologies and make recommendations for their use in projects.
• Oversee the end-to-end lifecycle of AI projects—from proof-of-concept (PoC) to deployment—ensuring safety, data privacy, and alignment with organizational goals.
• Champion the adoption of AI-driven tools and agentic AI architectures (e.g., LLM-based autonomous agents) to automate repetitive workflows, optimize internal processes, and enhance overall delivery efficiency.

Leadership Responsibilities

• May be responsible for managing a team of project coordinators, technical staff, or vendor management specialists.
• Provide leadership, guidance, and mentorship to team members.
• Set performance expectations, provide improvement suggestions, conduct performance reviews, and support employee development.
• Foster a collaborative and results-oriented team environment.
• Manage team budgets and resources.

What you will bring

• Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field.
• Proven experience (typically 5+ years) in IT project management, with a strong understanding of project management methodologies (e.g., Agile, Waterfall).
• Demonstrated experience (typically 3+ years) in vendor management, including vendor selection, contract negotiation, and performance management.
• Technical proficiency in relevant IT areas, such as software development, infrastructure, or systems integration.
• Strong leadership, communication, and interpersonal skills.
• Excellent analytical, problem-solving, and decision-making abilities.
• Ability to manage multiple projects and priorities simultaneously.
• Strong negotiation and contract management skills.
• Ability to build and maintain effective relationships with internal stakeholders and external vendors.
• Knowledge of IT procurement processes and best practices.
• Practical experience or a strongly demonstrated interest in Artificial Intelligence, Large Language Models (LLMs), and emerging Agentic AI frameworks
• Familiarity with the unique challenges of AI/ML project lifecycles, including prompt engineering, model evaluation, and mitigating risks associated with autonomous system deployments
• A proactive approach to evaluating how cutting-edge technologies (like Generative AI) can solve traditional operational bottlenecks
• PMP or other relevant project management certification is a plus.

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay & bonus scheme
• ⭐Developmental 360° feedback framework
• 💰 Monthly meal allowance
• 👩‍⚕️ Private health insurance for you and your family
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support.

#LI-Hybrid

#LI-gs1

How You'll Make an Impact: 

As a Senior DevOps Engineer at Cloudbeds, your goal is to constantly improve and scale our SaaS platform to deliver an exceptional experience to hoteliers and their guests worldwide. You'll own the creation, monitoring, automation, and support of our cloud infrastructure and delivery pipelines — enabling product teams to ship high-quality software with speed and confidence. Working within a bottom-up culture that values healthy debate and collaborative problem-solving, you'll have real influence over architecture decisions and the opportunity to shape how we scale infrastructure for one of the fastest-growing hospitality technology platforms in the world.

Our Infrastructure Team: 

Our Infrastructure team is made up of engineers who take genuine pride in their craft, owning projects end-to-end and holding themselves to a high bar. We're passionate about technology and constantly pushing to improve our stack, not just maintain it. If you thrive in an environment where attention to detail matters, great communication is a given, and you're comfortable challenging the status quo to make things better, you'll feel right at home here.

What You Bring to the Team:

• Architect, improve, and scale Cloudbeds' cloud infrastructure on AWS, with a focus on reliability, security, and performance
• Build and evolve our Kubernetes (EKS) platform, driving adoption of containerization best practices across engineering teams
• Automate infrastructure provisioning and configuration using infrastructure-as-code tools like Terraform
• Design, build, and maintain CI/CD pipelines (GitHub Actions, ArgoCD) that enable fast, reliable software delivery
• Partner with product and engineering teams to drive projects to production, sharing DevOps expertise and ensuring strong environment configuration from the infrastructure side
• Maintain and improve monitoring, logging, and alerting systems to ensure platform health and rapid incident response
• Participate in on-call rotation to support production environment stability.

What Sets You Up for Success:

• 5+ years of experience as a DevOps Engineer working hands-on with AWS (networking, compute, storage, databases, queues, cache, permissions).
• 5+ years of strong Kubernetes and Docker experience, including implementing and scaling EKS platforms at production scale.
• Deep expertise with Terraform for infrastructure-as-code and configuration management.
• Proven experience building and supporting CI/CD pipelines using GitHub Actions and ArgoCD.
• Strong knowledge of monitoring and observability tools such as Datadog, Prometheus, Loki, or AWS CloudWatch.
• Working knowledge of web application servers (NGINX, Ingress controllers), databases (MySQL, PostgreSQL, Aurora), caching (Redis, Memcached), and queue technologies (SQS).
• Ability to write Bash and/or Python scripts to automate operational tasks.
• Strong Linux system administration skills and solid networking fundamentals.
• Excellent written and verbal English communication skills; comfortable working asynchronously across a globally distributed remote team.

#LI-REMOTE #LI-IK1