About Incode

Incode is a Series B unicorn ($1.25 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast—and we need a product-marketing leader who can turn breakthrough technology into a category-defining narrative.

The Impact You’ll Make

As our Web Engineer for Antifraud, you'll play a pivotal role in building Incode's visual fraud investigation platform from the ground up. You will design and implement an interactive graph explorer that empowers fraud analysts to uncover hidden connections across identities, devices, and behavioral signals, including an embeddable graph visualization capability that brings these insights directly into other Identity Verification components and workflows.

What You’ll Own & Drive

• Web Application Development – Design, build, and maintain scalable, reusable, and high-performance web applications using modern frameworks and technologies.
• Front-End Excellence – Collaborate with designers and backend engineers to translate UI/UX designs into responsive, interactive user experiences.
• Performance & Optimization – Continuously optimize applications for speed, scalability, and cross-browser compatibility.
• System Integration – Develop and maintain seamless integrations with backend services and APIs to ensure smooth data flow and reliability.
• Security & Stability – Implement web security best practices, ensuring data protection and the integrity of all applications.
• Code Quality & Collaboration – Participate in peer reviews, maintain high coding standards, and contribute to improving development processes and tooling.
• Innovation & Continuous Learning – Stay current with emerging technologies, frameworks, and best practices to drive innovation across the engineering organization.

The Qualities That Set You Apart

• Engineering Craftsman – You write clean, maintainable code and design scalable systems that stand the test of time.
• Collaborative Builder – You thrive in cross-functional teams, translating design and product requirements into elegant, functional code.
• Performance-Driven – You understand the nuances of web optimization, from responsive layouts to micro-interactions that enhance UX.
• Security-Minded – You build with integrity and rigor, prioritizing data protection and application security.
• Problem Solver – You excel at debugging, diagnosing issues, and finding creative solutions under pressure.
• Curious & Evolving – You’re always learning—whether exploring new frameworks, mastering WASM, or experimenting with SDK design.

Your Background

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
• Proven expertise with modern front-end technologies: HTML, CSS, JavaScript, TypeScript, and frameworks like React, Angular, or Vue.
• Strong understanding of responsive design, cross-browser compatibility, and web performance optimization.
• Experience with Git (CLI-based workflows), branching strategies, and code review processes.
• Familiarity with CI/CD pipelines, Agile/Scrum methodologies, and tools like Jira or Notion.
• Experience integrating with RESTful APIs and backend systems.
• Excellent communication and teamwork skills, with fluency in English.

Nice to have:

• Experience with WebGL or canvas-based rendering for large-scale graph layouts.
• Exposure to fraud, IDV, KYC, AML product domains.
• Knowledge of graph data structures and traversal algorithms.
• Backend development experience with Java/Kotlin and the Spring framework ecosystem.
• Knowledge of cloud environments like AWS, Azure or Google Cloud.

Why Incode?

• Mission with Meaning – Shape how billions of people prove identity—safely, simply, and ethically.
• Rocket-Ship Growth – Join at an inflection point where your strategies will compound in value for years.
• Elite Team & Backing – Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category.
• Ownership & Autonomy – Operate like a founder with the resources of a unicorn.
• Global Impact – Every program you launch will reverberate across industries and continents.

Ready to ignite the future of trust?

Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum.

About Incode

Incode is a Series B unicorn ($1.25 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast—and we need a product-marketing leader who can turn breakthrough technology into a category-defining narrative.

The Impact You’ll Make

As a Senior DevOps Engineer at Incode, you will be the backbone of our cloud infrastructure. You’ll architect and evolve scalable, cloud-native systems that power secure and seamless identity experiences, leveraging Kubernetes, Terraform, and AWS. Your work will accelerate deployments, fortify monitoring and observability, and ensure reliability at global scale. Partnering closely with our developers, you’ll transform complex challenges into resilient, automated solutions that keep our applications highly available and performant. You will be a key enabler of speed, trust, and innovation—driving how Incode builds, delivers, and scales AI-driven identity verification for the world.

What You’ll Own & Drive

• Cloud-Native Infrastructure – Design, implement, and maintain Kubernetes-based environments that deliver scalability, resilience, and security.
• Infrastructure as Code (IaC) – Implement and manage Terraform-driven automation to ensure consistency, repeatability, and reliability across all client deployments.
• Production Reliability – Troubleshoot and resolve issues in live environments, minimizing downtime and ensuring seamless customer experiences.
• Monitoring & Logging – Build and optimize observability solutions with Prometheus, Loki, ELK, or similar stacks, tailoring systems to business and performance needs.
• Engineering Standards – Contribute to and refine internal best practices, methodologies, and automation frameworks that elevate the DevOps culture.
• Continuous Innovation – Stay on top of AWS and DevOps advancements, introducing new tools and approaches that enhance speed, efficiency, and scalability.

The Qualities That Set You Apart

• Cloud-Native Builder – You bring proven expertise in designing, deploying, and managing applications on Kubernetes, with a deep understanding of its architecture and core concepts.
• Infrastructure as Code Champion – You’re highly skilled with Terraform, driving automation and consistency across complex environments.
• Pipeline Innovator – You have hands-on experience implementing and optimizing CI/CD workflows using GitLab CI/CD or GitHub Actions, accelerating delivery while ensuring quality.
• AWS Practitioner – You possess a strong command of core AWS services (EC2, VPC, S3, IAM, etc.) and know how to leverage them for scalable, secure solutions.
• Systems & Networking Thinker – You understand networking fundamentals—TCP/IP, DNS, HTTP/S—and apply them to build reliable, high-performance systems.
• Clear Communicator – You excel at translating technical solutions into language that resonates with both technical peers and non-technical stakeholders.

Your Background

• Proven experience as a DevOps Engineer or in a similar role.
• Hands-on experience deploying and managing Kubernetes-based applications.
• Strong expertise in Terraform and infrastructure automation.
• Experience designing and implementing CI/CD pipelines with GitLab CI/CD or GitHub Actions.
• Solid understanding of AWS services including EC2, VPC, S3, IAM, and related offerings.
• Knowledge of networking protocols and best practices (TCP/IP, DNS, HTTP/S).
• Strong written and verbal communication skills, with the ability to present technical solutions effectively.

Why Incode?

• Mission with Meaning – Shape how billions of people prove identity—safely, simply, and ethically.
• Rocket-Ship Growth – Join at an inflection point where your strategies will compound in value for years.
• Elite Team & Backing – Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category.
• Ownership & Autonomy – Operate like a founder with the resources of a unicorn.
• Global Impact – Every program you launch will reverberate across industries and continents.

Ready to ignite the future of trust?

Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum.

About Incode

Incode is a Series B unicorn rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security.

Recently named a Leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast - and we’re looking for world-class Machine Learning Engineers to help us keep pushing the boundaries of biometric technology.

The Impact You’ll Make

As a Machine Learning Engineer at Incode, you’ll design, build, and deploy the deep learning models that power our most advanced technologies — from facial recognition and liveness detection to document processing and ID validation.

You’ll join a highly specialized engineering team working on solving complex, real-world challenges with cutting-edge ML architectures. Your work will directly influence how people verify their identity safely, seamlessly, and securely around the world.

What You’ll Own & Drive

• Innovate & Optimize - Develop and refine state-of-the-art deep learning models for computer vision applications such as facial recognition, liveness detection, and document processing and validation.

• Production-Ready Solutions - Architect and maintain scalable, efficient ML pipelines and ensure production-readiness and cost efficiency of deployed models.

• Research & Discovery - Stay at the forefront of academic and industry breakthroughs, experiment with emerging architectures and algorithms, and translate research into production-grade solutions.

• Data Mastery - Drive improvements in model performance through robust data preprocessing, cleaning, and analysis workflows.

• Collaborate & Communicate - Partner closely with research, product, and engineering teams to integrate ML solutions seamlessly into Incode’s production environment.

• Mentorship & Leadership - Provide technical guidance, share best practices, and contribute to building a culture of innovation and continuous learning.

Your Background

• 5+ years of industrial experience in Machine Learning, Deep Learning, or Computer Vision.

• Expertise in Python and deep learning frameworks such as PyTorch or TensorFlow.

• Demonstrated experience developing, deploying, and optimizing models for both performance and cost efficiency in production environments (including edge AI).

• Specialized expertise in at least one of the following areas:

  • Facial Recognition – face recognition, age estimation, facial attributes analysis.

  • Liveness Detection – facial authentication, anti-spoofing, and anti-deepfake defense.

  • Document Processing – OCR-based extraction, document analysis, and quality assurance.

  • ID Verification – biometric data authentication and document integrity validation.

• Proven ability to design and maintain end-to-end ML pipelines.

• Track record of research contributions or publications in deep learning and computer vision.

• Excellent communication and collaboration skills across cross-functional teams.

• Passion for mentoring talent and thriving in both long-term research and rapid iteration cycles.

The Qualities That Set You Apart

• Deep curiosity and technical excellence in AI and computer vision.

• Builder mindset with a drive to deliver real-world impact through applied research.

• Strong analytical thinking balanced by practical execution.

• Collaborative spirit and ability to simplify complex ideas for diverse audiences.

• Commitment to innovation, scalability, and continuous improvement.

Why Incode?