At Feedzai, we're building a world of safer money. A world where financial institutions move faster than criminals. Where the payments that fund real lives through salaries, savings, and businesses are protected in real time. We use trusted AI to detect and prevent financial crime, fraud, and money laundering at scale: the world's top banks, payment networks, and acquirers trust our technology to safeguard more than one billion consumers and $9 trillion in payment volume every year.

Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.

With Cloud at its core, the Engineering (Tech) Team is responsible for all Feedzai product development. Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will find one of the most talented teams out there, from junior to senior engineers.

We are fast-paced and provide a safe, open, and collaborative environment that encourages us to lean in, try new things and discover our potential with continuous learning for everyone.

While building the best value for our customers, you will work with a wide range of technical challenges. Such as building distributed systems that need to operate 24/7 and ultra-low latencies, solving UI/UX problems to help fraud analysts to fight fraud more efficiently. In addition, designing extensive databases from relational, NoSQL and graphs, and supporting data science techniques and algorithms.

You

The Platform Engineering Compute team is responsible for the overall cloud platform architecture that supports the cloud services provided to our customers and internal developers. As a Professional Platform Engineer you will own meaningful areas of our platform, contribute to design decisions, and help improve our automation and tooling. You'll work with other platform engineers to develop and maintain the systems that support Feedzai's cloud service and enable faster, more nimble product delivery.

Your Day to Day

Design, build, and maintain Kubernetes Operators and platform services, including deployment, monitoring, and operations.
Develop in Go or similar languages, following team standards and contributing to best practices.
Automate cloud infrastructure and incident response; improve self-healing and reliability.
Develop and refine playbooks, runbooks, and alerting to streamline response procedures.
Maintain and improve the product deployment pipeline and GitOps practices (e.g. FluxCD, Argo CD).
Participate in incident response, root cause analysis, and resolution; contribute to post-incident improvements.
Work with AI-assisted development tools (e.g. Cursor) as part of your daily workflow to ship faster and iterate effectively.
Maintain and extend Infrastructure as Code (IaC) and platform lifecycle (monitoring, alerting, security, cost, configuration, backup) in production.
Help improve developer experience and platform capabilities for product teams.

You Have & You Know-How

A bachelor's degree in Computer Science, Information Systems, or the equivalent combination of education, experience, and training.
2+ years of hands-on experience in platform engineering, DevOps, or cloud infrastructure.
Strong programming skills in Go, Java, or similar, with experience building and maintaining systems.
Hands-on experience with container technologies and orchestration (Docker, Kubernetes).
Experience with CI/CD (e.g. Jenkins, GitLab) and GitOps tools (e.g. FluxCD, Argo CD).
Experience working with at least one major cloud provider (AWS or GCP) and cloud-native patterns.
Experience with monitoring and observability (e.g. Grafana, Prometheus).
Experience with Infrastructure-as-Code (e.g. Terraform, Crossplane) and platform lifecycle management.
Self-driven, collaborative, and motivated to learn and improve how we build and run the platform.

Preferred Qualifications and Skills

Excellent communication skills, both written and verbal.
Comfort with AI-augmented development tools (e.g. Cursor) and willingness to adopt new tooling.
Kubernetes, cloud, or programming certifications or equivalent are valued.

The Product Team builds our product to disrupt the financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class UX interface. Being part of this team, you have a voice in planning, strategising, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and discover our potential. We define and act on what could be in tomorrow's world, not on what is today. Join Us!

#LI-Remote #LI-LS1

Your First 30-Days at Feedzai:

You will be immersed in our brand with training, connections, and one-on-one time with your manager. You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey. In addition, you will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team. Finally, you will start working on projects and collaborating on work currently being done. We can't wait to have you join the team!

Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Feedzai does not accept unsolicited resumes from recruiters or employment agencies.

Feedzai will use the personal data you provide us with by filling out this form for reviewing your application and to potentially negotiate a contract with you. Your personal data will be retained by Feedzai for 24 months following your application. Please see our Privacy Notice available at and for more information on how we process your personal data.

Platform Engineer - Compute

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