דרושים » תוכנה » Senior Backend Engineer- CTI

Required Senior Backend Engineer- XP Platform team
What youre applying for
We're building the Experience Platform that powers everything - the backbone that lets our teams ship fast, scale seamlessly, and focus on creating incredible experiences for millions of customers. As a Senior Backend Engineer, you'll architect solutions that make other developers' lives easier while pushing platform boundaries. You'll own our chat service that handles onboarding flows for every customer.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Own platform services that let product teams ship features in days, not weeks
Build TypeScript/NestJS microservices that handle millions of customer interactions on Kubernetes
Partner with product teams to deliver the infrastructure they need to move fast
Level up our development experience using autonomous tools that handle everything from environment setup to production deploys
Lead architectural decisions that impact how we build, deploy, and scale products company-wide
Collaborate across product, design, and data teams to bring complex features from concept to launch
Drive platform reliability improvements that directly impact customer experience.

We are seeking a Senior Backend Engineer - Data Platform to join our expanding team and play a crucial role in designing, building, and maintaining robust and scalable data pipelines and infrastructure. In this role, you will directly enable data-driven decision-making and support the development and deployment of AI/ML products that power Health.

Youll collaborate closely with engineering, product, and data science teams to ensure our data systems are high-quality, resilient, and scalable as we grow. As a Senior Backend Engineer on our Data Platform team, you will drive efforts to deliver reliable, efficient, and consistent data services across the organization. You will also help enable the rapid development and deployment of advanced features, insights, and AI-driven capabilities that improve outcomes for clinicians and clients.

Who are you?
You are a seasoned backend or data engineer with experience working on production-grade ML/AI-powered products. You thrive in fast-paced, high-ownership environments and are passionate about building scalable and reliable systems. You understand the unique requirements of delivering AI/ML features in production, and you are comfortable working with modern technologies in the LLM/RAG ecosystem.
You pride yourself on delivering high-quality solutions quickly, without sacrificing design or reliability. Youre known for your responsiveness, collaborative spirit, and service-oriented mindset-especially when youre on-call and the stakes are high.How will you contribute?
Design, implement, and maintain scalable and reliable data pipelines and backend systems supporting both operational and analytical needs, with a focus on ML/AI product enablement.
Ensure data processing is optimized for speed, efficiency, and fault tolerance, enabling seamless integration with AI/ML workflows and reliable performance across all our Health products.
Monitor and improve uptime, reliability, and observability of our data infrastructure and pipelines.
Build and maintain systems to ensure data quality, consistency, and usability across the organization, enabling advanced analytics and AI solutions.
Work closely with product and engineering teams to deliver new features rapidly and with a high standard of technical excellence.
Drive innovation in how we build, measure, and optimize data features, backend services, and AI product integrations.
Participate in on-call rotations with a service-oriented approach and fast responsiveness.
Lead scalability efforts to support increasing data volumes, expanding AI/ML initiatives, and new product launches.

We're looking for a Senior Backend Engineer to join our Platform team in Tel Aviv. You'll build the infrastructure that powers our entire engineering organization, accelerating how our teams ship features that millions of customers rely on. This role is perfect for someone who loves solving complex distributed systems challenges and creating tools that make other developers' lives better.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Build core platform services that support all our development teams across web, mobile, and backend systems
Design and maintain robust APIs for distributed microservices architecture using TypeScript, with Rust experience as a major plus
Collaborate with staff engineers and tech leads to establish platform standards, patterns, and best practices across the engineering organization
Own service stability and communication between systems, implementing both synchronous and asynchronous patterns at scale
Drive developer efficiency initiatives by creating tools, frameworks, and infrastructure that eliminate friction for product teams
Work hands-on with AWS infrastructure including Kafka, RabbitMQ, EKS, SQS, Lambda, and infrastructure-as-code tools like Pulumi
Partner closely with DevOps teams to ensure seamless deployment, monitoring, and scaling of platform services.

Were hiring a ML Engineer to accelerate AI-driven innovation across our B2B SaaS platform.

Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.

What You Will Do:
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across our product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.

Required Senior Backend Engineer - Posture
Were building the next generation of autonomous cybersecurity technology - systems that think like attackers to continuously uncover security gaps in enterprise environments.
As a Senior Engineer in our Attack Simulation Platform team, youll design and build the engines, data models, and intelligent agents that simulate advanced adversaries across large-scale networks. Youll combine strong software-engineering skills with deep security intuition to create systems that mirror human attacker behaviour and discover real weaknesses before attackers do.
The Dream-Maker Responsibilities
Design and build AI-driven agents that emulate adversarial behaviours such as lateral movement, privilege escalation, and persistence.
Develop core simulation and orchestration components in Go (primary language) and integrate with in-house AI models.
Model and simulate attack paths across complex enterprise environments (identity, endpoint, network, and cloud).
Collaborate with red-teamers, researchers, and data scientists to translate threat intelligence and real attack TTPs into executable logic.
Contribute to architecture decisions, scalability, and performance optimization for distributed simulations.

As a Senior Backend Engineer, you will play a pivotal role in scaling and evolving the core systems that power our company's agentic AI platform. With a product already live in production, you will work closely with our engineering leadership to take our infrastructure to the next level- from real-time orchestration and automation logic to scalable APIs and data pipelines.
You'll work at the heart of our stack, combining Node.js and Python to build high-performance, reliable backend services that power our voice and digital agents, analytics, and AI integrations. This is a hands-on role for a highly self-sufficient builder who loves elegant systems, clean code, and moving fast without breaking things.
What You'll Do
Drive Execution: Act autonomously to define your own technical tasks, prioritize effectively, and push features to the finish line while collaborating seamlessly with a tight-knit core team.
Build & Scale: Collaborate on system architecture and build out scalable backend services in Node.js and Python for our growing production workloads.
Orchestrate AI: Integrate large language models (LLMs) and build multi-step, reasoning-based AI agent workflows using frameworks like LangGraph (a strong plus).
Enhance Infrastructure: Own backend performance, observability, and infrastructure scalability, optimizing services in a cloud-native environment (AWS / GCP).
Cross-Functional Collaboration: Work closely with frontend, AI, and product teams to design and implement impactful cross-functional features.
Data & Delivery: Manage databases, caching, and distributed systems with strong data modeling practices, while upholding rigorous engineering standards and CI/CD practices.

We are looking for a Senior Big Data Engineer to join our growing ML Platform team. This is a great opportunity for an experienced Data Engineer who wants to apply their skills to the world of Machine Learning. Together, well provide the high-throughput tools and distributed systems needed to process billions of data points, ensuring that our models have the feature-rich, reliable data they need to perform in real-time.
ML is central to our work. It enables us to process billions of dollars worth of e-commerce transactions and identify fraud rings. Precision at scale is crucial-our models depend on engineered features derived from massive datasets. As the volume of data and the complexity of these models grow, we need senior engineers who can solve the "Big Data" challenges inherent in modern MLOps.
Why should you join us?
Youll be part of a highly proficient engineering team that is the focal point for all ML engineering activity. This role is perfect for a Big Data specialist who wants to own the data-intensive side of ML-building the pipelines and infrastructure that transform raw global traffic into actionable intelligence.
What you will be doing:
Designing and building the data-heavy components of our ML infrastructure, allowing our models to make billions of real-time decisions every year.
Building distributed data processing pipelines that power model training, feature engineering, and offline research at scale.
Optimizing the "Feature Store" concept-ensuring that the data used for training matches the data used in production for real-time serving.
Acting as a technical consultant to data scientists and researchers, helping them navigate massive datasets and providing the Spark-based tooling they need to iterate faster.
Expanding our ML data infrastructure to be scalable and efficient, focusing on the performance of data ingestion and transformation for diverse model types.
Improving MLOps standards by ensuring data reproducibility, lineage, and quality across the entire model lifecycle.

we are looking for a Senior Backend Engineer to join our new Platform Infrastructure team.
In this foundational role, youll help build the shared backend systems, frameworks, and tooling that power every product across the company.
If youre passionate about solving hard technical problems, shaping internal architecture, and scaling best practices across teams - we want to hear from you.
Wake Up for This
Build for builders: Design and develop the backend infrastructure that other teams will rely on - from shared services and APIs to internal developer tools and performance optimizations.
Engineer at scale: Work across modern backend stacks, building reusable systems that balance flexibility with consistency.
Drive technical standards: Partner with tech leads, designers, and developers across the company to define best practices and guide architectural decisions.
Lead by example: Mentor other engineers, support their growth, and help raise the overall bar for backend quality and maintainability.
Create real impact: Your work will improve development velocity, code quality, and user experience for millions of creators and countless internal users.

Required Senior Backend Engineer - Fraud Detection Squad
What youre applying for
Join our cross-functional fraud detection squad where you'll build systems that protect millions of customers while keeping the good ones flowing seamlessly through our platform.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Build fraud detection systems using microservices in Typescript (NestJS) and Ruby on Rails, running over Kubernetes to catch bad actors while keeping legitimate customers happy
Leverage our autonomous tools to manage development flow-from environment setup to production deployment-so you spend time solving fraud, not fighting infrastructure
Collaborate with data scientists, product managers, and fraud analysts in a self-sufficient squad to hit aggressive fraud prevention OKRs
Own your domain's code quality, performance, and scalability as fraudsters get smarter and transaction volumes explode
Design systems that make split-second decisions on claims and applications, balancing security with customer experience
Coach and mentor other engineers while staying ahead of evolving fraud patterns and attack vectors
Partner with our AI/ML teams to implement and optimize machine learning models that detect fraud in real-time.

we are looking for a Senior Backend Engineer to join our Catalog Management team.
This team owns core domain areas of the company product, including artist management, catalog management, and content-driven workflows that power the company application end to end. In this role, youll build backend systems that directly support our creators and internal stakeholders.
Youll work closely with multiple departments across the company- including Label, Content, A&R, and Product- helping translate real-world creative and operational needs into scalable, reliable software.
Wake Up for This:
Build product-driven backend systems:
Design, develop, and maintain backend services that power artist management, catalog workflows, and content-centric features across the company platform.
Own end-to-end features:
Take responsibility for features from backend through API - collaborating closely with frontend engineers and product partners.
Collaborate cross-functionally:
Work closely with Product, Design, Label, Content, and A&R teams to understand domain needs and deliver solutions that scale with the business.
Engineer for scale and reliability:
Build and maintain systems that handle large catalogs, complex metadata, and high-traffic production workloads.
Lead by example:
Mentor other engineers, participate in technical decision-making, and help raise the bar for code quality, maintainability, and best practices.
Create real impact:
Your work will directly influence how creators discover content, how artists are managed, and how our company operates internally at scale.