Job Description
Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. 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 Platform Engineering area supports our product development life cycle, from development through testing and deployment to operations and maintenance, enabling a DevOps way of working. 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.
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 with ultra-low latencies, plus cooperating with other teams towards high performance and reliability.
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.
You:
If you are passionate about distributed systems, performance, reliability on cloud environments and like challenges of low latencies and high throughput systems, this may be the job for you.
You’ll be part of Feedzai Platform Engineering Performance & Reliability team. Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. As part of this team you’ll have the opportunity to manage the complex challenges of scale which are unique to Feedzai Fraud detection mission, while working with talented platform engineers in complexity analysis and large-scale system design, developing the automation, tooling and platforms that support Feedzai top notch cloud service.
Your Day to Day:
Provide recommendations about capacity allocation considering cost, resilience and performance.
Work together with product teams to support best practices and drive improvements on systems performance and reliability before and after they go live;
Development with Go, Python or similar languages;
Automate all aspects of cloud infrastructure and incident response;
Develop playbooks related to actionable alerts;
Participate in incident response, root cause investigation and resolution;
Maintain and develop our infrastructure as code (IaC) to manage and operate end-to-end lifecycle operations (monitoring, alerting, security, cost optimization, configuration, backup, etc.) in production environments;
Utilize your experience and problem solving skills to help prevent and investigate production issues.
You Have & You Know-How:
A bachelor's degree in Computer Science, Information Systems, or the equivalent combination of education, experience, and training;
Programming skills (Go, Python or similar languages);
3+ years of experience in data structures, algorithms, programming, asynchronous & multithreaded designs
3+ years of experience with building scalable and distributed cloud services
3+ years operating production environments
2+ years of experience in cross team collaboration within a supportive role
Self-driven & motivated, with a strong work ethic and a passion for problem solving;
Systematic problem-solving approach, coupled with effective verbal and written communication skills.
Experience being oncall.
Preferred/Valued Qualifications and Skills:
Experience with monitoring & Observability stacks such as Grafana and Prometheus;
Kubernetes, Cloud and Hashicorp experience is valued;
Knowledge or experience with AWS or GCP.
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!
Life at Feedzai Instagram
Feedzai Culture
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 https://www.feedzai.com/legal/feedzai-candidate-privacy-policy/ and https://www.feedzai.com/legal/feedzai-california-candidates-privacy-policy/ for more information on how we process your personal data.