Staff Software Engineer (Fraud Defender)

1 мес. назад

PolandEuropeLeadHybrid

distributed systemsreal-time data processing

Senior backend engineer to lead architecture and evolution of fraud prevention systems processing real-time event data.

О компании

is a global cloud communications leader. And your talent will further help brands - such as Airbnb, Viber, WhatsApp, and Snapchat - accelerate their digital transformation through our fully programmable-based unified communications, contact center solutions, and communications APIs. Ready to innovate? Then join us today.
Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.

Обязанности

Provide technical leadership and long-term architectural vision for 's Fraud Prevention Platform. 
Lead the design and evolution of high-throughput, low-latency distributed systems processing millions of fraud detection events in real time. 
Lead performance optimisation initiatives and resolve the most complex system-level challenges. 
Shape the long-term technical roadmap for the Fraud Prevention Platform, balancing business priorities, technical debt, scalability, and operational excellence. 
Drive and own significant architectural decisions, ensuring scalability, reliability, security, and maintainability across the platform. 
Partner with product and engineering leadership to align technical strategy with business objectives. 
Mentor engineers across the team and broader engineering organisation, helping raise technical standards and engineering maturity. 
Define and evolve coding standards, testing strategies, observability practices, and operational excellence across the organisation. 
Guide the team through technical planning, solution design, and delivery of strategic initiatives. 
Take part in on-calls for our production services.

Будет плюсом

Experience working on fraud prevention, risk management, or real-time decisioning systems.  
Experience building machine learning or AI-powered solutions in production environments.  
Experience operating large-scale SaaS platforms with high traffic and low latency.  
Knowledge of the telecommunications or CPaaS industry.

Условия

Private Medical Insurance with the option to add dependents
Multisport Gym Membership
Educational Assistance Reimbursement Program
Lunch and Learn Sessions held monthly
Opportunity to be reimbursed for conferences, trainings, and other events consistent with the area of work aimed at personal development
Three Paid Volunteer Days a Year
Unlimited Discretionary Time Off
Additional Maternity and Paternity Leave
#LI-AR1
There’s no perfect candidate. You don't need all the preferred qualifications to make a valuable impact on our team. Our employees and customers come from diverse backgrounds, so if you're passionate about what you could achieve at , we'd love to hear from you.
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Другое

As an emerging leader in the $10B+ communications API market, we empower global brands to connect better with their customers, employees, and partners through transformative communications experiences. For example, API solutions empower organizations to build their custom omnichannel communications structure. This allows them to reach and engage customers on their preferred schedule and channel — including voice, video, and messaging. Think of a rideshare service instantly connecting with customers, hospital staff conducting remote monitoring, customers verifying their identity before completing a purchase, AI virtual agents servicing customers around the clock, and much more.
As businesses continue to shift to a real-time, customer-centric communications model, we are experiencing a time of impressive growth.
The Engineering team at is a group of talented engineers working on complex challenges associated with high-performance distributed systems and processing large volumes of data in real time.  
We are looking for a Staff Software Engineer to join our Fraud Prevention engineering team. As a senior technical leader, you will act as a technical anchor for the platform, shaping the architecture and evolution of systems that process millions of events in real time to protect customers from fraud.  
This role combines deep hands-on engineering with technical leadership. You will drive architectural decisions, guide the technical direction of the team, mentor engineers, and help scale both our platform and engineering practices as the business continues to grow.  
We are a team that embraces the future: we hav e a strong and growing adoption of AI across our engineering workflows, and we actively leverage AI agents in our day-to-day work - from accelerating development cycles to enhanci ng fraud detection intelligence. If you are excited about working in an environment where AI is not a buzzword but a real part of how we build and operate, you will feel right at home.  
Language – Java (primary); Python and Golang experience is a plus 
Spring, Spring Boot 
Cloud – AWS primarily (Bedrock, DynamoDB, RDS, EKS, S3, IAM, SQS, Lambda) 
Monitoring and observability (Prometheus, Grafana, Kibana)
Kafka 
MySQL/PostgreSQL 
Redis (time series, search) 
Docker, Kubernetes, Helm 
Essential  
Prior experience as a Tech Lead, Team Lead, Staff Engineer, or equivalent technical leadership role, with demonstrated ownership of technical direction, architecture, and delivery across multiple engineers or teams.  
Deep expertise designing scalable, highly available, distributed, event-driven systems using our core tech stack (Java/Spring Boot, AWS, Kafka, and Kubernetes).  
Strong track record of mentoring engineers and helping teams grow technically.  
Deep understanding of performance optimisation, scalability, reliability, and operational excellence.  
Experience with containerised applications and orchestration platforms such as Kubernetes and Helm.  
Excellent communication and stakeholder management skills, with the ability to influence both technical and non-technical audiences.  
An AI-native mindset, with practical experience using AI tools or agents to improve engineering productivity and software delivery.