We're in search of an exceptional Backend Engineering Team Leader, someone with a wealth of hands-on software engineering expertise. As part of our core product team, you'll be at the forefront of crafting a groundbreaking solution that leverages cutting-edge technology to combat fraud. Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud.
Your Arena – Know your impact
Take a leading role in the team of talented engineers, share your experience and demonstrate your expertise building our market-leading product
Design and implement the infrastructure of the system including the ingestion, algorithms, performance optimizations, and interactive applications
Build a highly scalable data platform for diversified and complex data flows
Have end-to-end ownership: Design, build, ship, measure, and maintain our backend services. You build it – you own it
Work closely with our fantastic Product team that created an industry-leading SaaS Product-Led-Growth offering
Join us in building a professional, fun company and engineering culture with the highest standard.
Your Arena – Know your impact
Take a leading role in the team of talented engineers, share your experience and demonstrate your expertise building our market-leading product
Design and implement the infrastructure of the system including the ingestion, algorithms, performance optimizations, and interactive applications
Build a highly scalable data platform for diversified and complex data flows
Have end-to-end ownership: Design, build, ship, measure, and maintain our backend services. You build it – you own it
Work closely with our fantastic Product team that created an industry-leading SaaS Product-Led-Growth offering
Join us in building a professional, fun company and engineering culture with the highest standard.
Requirements:
3-4 years of managerial experience, leading small-medium engineering teams – Must
7+ years of experience building production-grade backend systems, with deep expertise in TypeScript and Node.js – Must
Strong track record designing and evolving distributed, event-driven architectures (microservices, asynchronous systems, serverless where appropriate) – Must
Experience building cloud-native systems on AWS, with a strong understanding of tradeoffs in scalability, reliability, and cost – Must
Hands-on experience using Kafka in real production environments, with strong understanding of internals (partitioning, ordering, consumer groups, delivery semantics, scaling, failure modes) – Must
Practical experience with Docker-based workflows and modern containerized development practices – Must
Familiarity with Kubernetes (including EKS) and/or ECS, and understanding how services behave when deployed and scaled in container orchestration environments – Must
Strong experience working with both NoSQL (MongoDB) and relational databases (Postgres), with clear understanding of data modeling and tradeoffs – Must
B.Sc. in Computer Science or equivalent experience
(AI-driven engineering practices)
Experience using AI-assisted development tools (ChatGPT, Claude, GitHub Copilot, Cursor, etc.) as part of daily engineering workflows – Must
Experience leveraging LLMs to improve productivity in coding, design exploration, technical writing, and analysis – Must
Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and having built small tools or integrations using them
Ability to critically assess AI-generated output and apply strong engineering judgment
Interest in emerging AI tooling and how it can enhance, not replace, strong software engineering practices.
3-4 years of managerial experience, leading small-medium engineering teams – Must
7+ years of experience building production-grade backend systems, with deep expertise in TypeScript and Node.js – Must
Strong track record designing and evolving distributed, event-driven architectures (microservices, asynchronous systems, serverless where appropriate) – Must
Experience building cloud-native systems on AWS, with a strong understanding of tradeoffs in scalability, reliability, and cost – Must
Hands-on experience using Kafka in real production environments, with strong understanding of internals (partitioning, ordering, consumer groups, delivery semantics, scaling, failure modes) – Must
Practical experience with Docker-based workflows and modern containerized development practices – Must
Familiarity with Kubernetes (including EKS) and/or ECS, and understanding how services behave when deployed and scaled in container orchestration environments – Must
Strong experience working with both NoSQL (MongoDB) and relational databases (Postgres), with clear understanding of data modeling and tradeoffs – Must
B.Sc. in Computer Science or equivalent experience
(AI-driven engineering practices)
Experience using AI-assisted development tools (ChatGPT, Claude, GitHub Copilot, Cursor, etc.) as part of daily engineering workflows – Must
Experience leveraging LLMs to improve productivity in coding, design exploration, technical writing, and analysis – Must
Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and having built small tools or integrations using them
Ability to critically assess AI-generated output and apply strong engineering judgment
Interest in emerging AI tooling and how it can enhance, not replace, strong software engineering practices.
This position is open to all candidates.
