Architect and maintain enterprise-grade CI/CD solutions and internal developer platforms to optimize the developer experience. Lead the development of critical automation tooling and provide technical mentorship and incident response leadership.
Feedzai
23 Remote Job Openings at Feedzai
Lead and grow a technical team of engineers to deliver customized risk management solutions for global clients. Act as a technical lead by architecting solutions, performing code reviews, and aligning engineering capacity with business priorities.
The role involves cleaning and preprocessing client data to develop and tune machine learning models for risk prevention. You will collaborate with key stakeholders and cross-functional teams to improve data science processes and tooling.
Act as the bridge between client business needs and technical teams to deploy and optimize fraud detection solutions. Responsibilities include gathering requirements, designing solutions, conducting UAT, and providing client training.
Lead the regional partner ecosystem in LATAM by developing strategies for GSIs, OEMs, and payment processors to drive revenue growth. Manage partner recruitment, onboarding, and joint go-to-market execution to expand Feedzai's footprint in the region.
Design, build, and maintain Kubernetes Operators and platform services to support cloud architecture and internal developers. Automate cloud infrastructure, improve reliability, and maintain product deployment pipelines using GitOps practices.
Create and shape high-quality multi-format content including blogs, reports, and video scripts to drive brand awareness and sales pipeline. Collaborate with product marketing, demand generation, and PR to align content with the buyer journey and business objectives.
Develop and maintain highly scalable, event-driven backend services and APIs with ultra-low latency requirements. Execute the full software development life cycle and participate in an on-call rotation to ensure 24/7 platform reliability.
Lead the Digital Trust engineering team to develop fraud detection and prevention capabilities using device intelligence and behavioral biometrics. Manage engineer career growth while collaborating with Product Management and Data Science to align technical execution with business goals.
Lead client onboarding and activation across the LATAM region while managing a team of Project Managers to ensure timely and on-budget delivery. Collaborate with cross-functional teams to align solutions with client needs and serve as the primary escalation point for regional client issues.
Systems Research Engineer- Software Engineer, Data and ML Infrastructure
Feedzai
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Full Time
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2 months ago
Feedzai
Design and implement high-performance, real-time Machine Learning inference systems capable of processing millions of events per second. Drive architectural decisions for ML workloads and contribute to scientific research through papers and patents.
The role involves cleaning and preprocessing client data to iteratively compute features and tune machine learning models. You will collaborate with key stakeholders and cross-functional teams to deliver best-in-class risk prevention solutions.
You will be responsible for developing and maintaining the core Risk Engine, ensuring high performance and reliability for real-time fraud prevention. This involves end-to-end ownership of the software development life cycle, including deployment, operations, and participation in an on-call rotation.
The role involves owning the end-to-end delivery of robust mobile SDKs, from architectural design to production deployment, while solving high-complexity technical challenges with significant autonomy. Responsibilities also include championing engineering excellence through mentoring and liaising with stakeholders to translate customer needs into effective mobile solutions.
The manager will lead and mentor a high-performing team within Platform Engineering, fostering technical excellence and continuous growth while partnering with cross-functional stakeholders to define and evolve engineering best practices. Responsibilities include promoting operational excellence, focusing on automation, and ensuring the predictable delivery of platform commitments by realistically assessing team capacity.
Responsibilities include providing recommendations on capacity allocation considering cost, resilience, and performance, and working with product teams to support best practices for system performance and reliability. The role involves development using Go or Python, automating cloud infrastructure and incident response, and maintaining infrastructure as code for production environments.
The role involves designing, building, and maintaining Kubernetes Operators and platform services, including deployment, monitoring, and operations, while developing in Go or similar languages. Responsibilities also include automating cloud infrastructure, refining playbooks, and maintaining the product deployment pipeline using GitOps practices.
The role involves designing and implementing core Generative AI platform components, including architecting backend services and APIs to securely integrate large language models into critical product workflows. Responsibilities also include defining technical standards for agent development, driving architectural decisions for GenAI workloads, and owning services throughout their lifecycle following DevOps principles.
As a Senior Data Engineer, you will ensure the stability, scalability, and performance of the Data Science Framework (DSF) while working on big data processing components. You will analyze workload patterns and drive performance improvements, ensuring reliable and efficient Spark jobs.
As a Senior Software Engineer in the Customer Success Department, you will ensure that our products are installed and meet client requirements with integration and performance management. You will work with a project team to understand client needs and execute on those requirements.
As a Software Engineer in the Customer Success organization, you will ensure that our products are installed and meet client requirements with integration and performance management. You will work with a project team to understand client needs and execute on those requirements.
As a Software Engineer in the Customer Success organization, you will ensure that products are installed and meet client requirements, focusing on integration and performance management. You will collaborate with various teams to understand client needs and execute on those requirements.
Own the end-to-end sales process from demand generation to closing, while developing consultative relationships with prospects. Drive new business opportunities and achieve revenue targets aligned with Feedzai's growth plan.
