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 Role:
We’re looking for a Backend Engineer to contribute to a next-generation security initiative. You’ll be part of a small, highly technical team working on novel approaches to secure systems - with a focus on cryptography, automation, and AI-powered analysis. You’ll work closely with senior engineers and contribute hands-on to the codebase across the stack. This role involves hands-on development, learning opportunities, and collaboration across engineering, product, and design.

Day to Day:

• Contribute to the design, development, and delivery of features across the product
• Write clean, maintainable code for back-end systems deployed in AWS or GCP
• Collaborate with AI and cryptography specialists
• Work with the product manager to understand requirements and help the team plan architecture, data flows, API specs, and testing strategies
• Follow established engineering practices and participate in team discussions around process and quality
• Participate in customer-driven development and iterate based on feedback
• Write automated tests for load, performance, and error handling

What you bring to the table:

• 3+ years of hands-on software engineering experience for backend development
• Excellent TypeScript and Node.js coding experience
• AWS experience in containers (EKS, ECS) and serverless systems
• Relational, key/value, and graph datastore experience with schema management
• API design, data modeling, secure service development, database systems
• Has a focus on quality code, error handling, and high availability
• A thoughtful, pragmatic approach to solving technical problems in a fast-paced environment
• At least upper-intermediate level of spoken and written English

Extra Credit:

• Versed in Python coding and environments
• Experience with GCP systems
• Experience with applied cryptography, especially key management, TLS, or post-quantum algorithms
• Familiarity with agent-based architectures or systems that scan and orchestrate actions across distributed environments
• Knowledge of AI/ML systems, particularly LLM integration or agent-style reasoning patterns
• Experience managing LLM agents to increase both speed and quality of code generation and tests
• Exposure to security tools, vulnerability detection platforms, or compliance automation
• Prior experience working on developer-facing or infrastructure-heavy products

Why this role exists:

We are looking for an Engineering Manager to lead engineering teams within the Sports Business Unit, responsible for delivering all sports betting content and functionality for our B2B platform. The Sports BU owns end-to-end development of sports-related capabilities, including trading, feeds, risk management, mathematical models, odds services, and sportsbook content. This role combines people leadership, technical delivery ownership, and cross-functional collaboration with Product, Trading, and Platform teams to ensure scalable, reliable, and high-performance sportsbook solutions.

What you’ll drive:

Team management & people development

• Conduct regular performance evaluations, provide constructive feedback, and create development plans for team members.
• Address and resolve any conflicts or issues within the team promptly.
• Foster a collaborative environment where team members feel comfortable voicing their concerns.
• Provide training and development opportunities for team members to enhance their skills.
• Organize workshops, seminars, and other learning activities to keep the team updated with the latest technologies and best practices.

Project planning & delivery management

• Define project scope, goals, and deliverables in collaboration with stakeholders.
• Create detailed project plans, including timelines and resource allocation.
• Efficiently allocate resources to meet project demands and balance team workloads.
• Manage team schedules, including handling time-off requests and ensuring adequate coverage.

Quality assurance & technical governance

• Implement and enforce quality assurance processes and standards within the team.
• Ensure thorough testing and validation of deliverables before release.
• Review and approve technical designs, architecture, and code to maintain high-quality standards and ensure consistency.
• Ensure proper documentation of technical designs, system architecture, and code.
• Maintain comprehensive documentation for future reference and knowledge sharing.

Process improvement & best practices

• Continuously seek ways to improve quality and efficiency in development processes.
• Promote agile methodologies and other best practices for software development.
• Identify areas for improvement in team processes and workflows. Implement changes to enhance efficiency, productivity, and quality.
• Promote the adoption of best practices in software development, including agile methodologies and lean processes.
• Track and analyze key performance metrics to identify trends and opportunities for improvement.

Communication & stakeholder management

• Act as the primary point of contact between the team and upper management, as well as other departments.
• Facilitate effective communication and collaboration within the team and across the organization.
• Report on team progress, challenges, and successes to stakeholders and management.
• Ensure transparency and alignment between team efforts and business goals.

What makes you a GR8 fit:

Must-have

• Experience in the betting / trading domain.
• Strong experience with C# / .NET in building scalable, high-load backend systems.
• Experience designing distributed systems and microservices architectures.
• Solid knowledge of event-driven architecture and messaging systems (Kafka or similar).
• Strong expertise in databases (SQL + NoSQL), including performance tuning and scaling.
• Experience with CI/CD, Docker, and Kubernetes.
• Ability to make architectural decisions and take ownership end-to-end.
• Experience operating high-availability, low-latency systems.

Nice-to-have

• Experience with Orleans, MongoDB, RabbitMQ, Elasticsearch, Aerospike.
• Experience with AWS or other cloud platforms.
• Familiarity with observability tools (APM, logging, tracing).
• Understanding of FinOps / cloud cost optimization.
• Previous experience mentoring or leading engineers.

We are seeking an experienced Senior Project Manager with a background in Business Analysis and/or Product Management to lead strategic business initiatives. This role is responsible for the end-to-end execution of projects focused on analyzing, planning, implementing, and automating business processes. The ideal candidate combines project management expertise with analytical skills to drive business process improvements at both departmental and company levels.

Key Responsibilities

• Lead and coordinate multiple projects simultaneously across different departments, ensuring timely delivery within scope and budget
• Own end-to-end project planning, including solution design, budgeting, resource allocation, and risk management
• Conduct in-depth analysis of workflows and business processes to identify optimization opportunities and translate them into actionable project requirements
• Drive business process improvements through research, process modeling, data analysis, and gap analysis
• Communicate effectively with stakeholders throughout the project lifecycle - gathering requirements, reporting progress, presenting results, and managing expectations
• Lead change management efforts, ensuring smooth transitions and stakeholder engagement during implementation
• Coordinate with cross-functional teams to ensure the successful integration of business systems, processes, and technology solutions

Qualifications

• 4+ years of proven project management experience
• Proven experience as a Business Analyst or Product Manager
• Proven experience in managing digital and operational business process improvement projects
• Hands-on experience in business process analysis and workflow optimization with a proven track record of implementing improvements directly into products or operational processes
• Experience managing cross-functional teams and collaborating with business and technical stakeholders
• Fluency in English (Upper-Intermediate or Advanced level)
• Experience implementing AI into products and/or business processes with measurable results is a plus
• Proficiency in no-code/low-code tools (n8n, Zapier, Make, Bubble, Bolt, etc.) is a plus

What We Offer

• Opportunity to shape the backbone systems of a modern, data-driven digital company.
• Autonomy to lead meaningful projects from ideation to impact.
• A collaborative, innovation-first environment that values initiative and experimentation.
• Reduced working hours on Fridays during the summer.
• Schedule: Monday–Friday, 1:00/2:00 PM – 9:00/10:00 PM EET.

Why Join Us

You’ll be at the intersection of technology, process innovation, and business growth - building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.

The role

Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention.

As a Data Science Manager within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network.

At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.

What you’ll do

• Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development.
• Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions.
• Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals.
• Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production.
• Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders.

What excites you

• Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team.
• Mentoring a high-performing team and fostering a culture of technical excellence.
• Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale.
• Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation.

What excites us

• 2+ years managing Data Scientists within complex, high-stakes domains.
• A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment.
• A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership.
• Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus).
  
  

Base salary range: €64,000 - €96,000

Base salary ranges are based on role, job level, location, and market data.  Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.