דרושים » ניהול ביניים » Senior Back End Engineer

Were looking for a Senior Backend Developer to help build and scale the core systems powering our products end-to-end. In this role, youll take ownership of backend services, design and develop robust, scalable architectures, and work closely with product and engineering teams to solve meaningful challenges that directly impact our customers and partners.
Youll work with modern technologies including Node.js, Nest.js, TypeScript, PostgreSQL, and AWS, in a fast-moving environment that values strong engineering fundamentals, a product-driven mindset, and a passion for solving complex problems at scale.
Responsibilities:
Design, develop, and deploy scalable, high-performance backend services that support our web and mobile applications.
Own backend features end-to-end: from technical design and implementation to production deployment and ongoing improvements.
Write clean, maintainable, and well-documented TypeScript code, following best practices, design patterns, and high testing standards.
Build and optimize PostgreSQL schemas, queries, and data flows to ensure reliability and performance at scale.
Participate in architecture discussions and help drive technical decisions that improve velocity, stability, and extensibility.
Perform code reviews, troubleshoot production issues, and proactively improve system observability, reliability, and performance.
Collaborate closely with Product, FE, QA, and other stakeholders to understand requirements and translate them into clear technical plans and execution.

We are seeking a Senior Backend Engineer to join the Sightline detection engineering team. You will design, build, and operate high-scale, low-latency backend services that score and protect web and API traffic against automated abuse, working at the core of our real-time detection platform.
What youll do:
High-Scale Engineering: Design, build, and maintain distributed, high-throughput backend services processing hundreds of thousands of requests per second with strict tens-of-milliseconds latency targets.
End-to-End Ownership: Own services from architecture and implementation to deployment and reliability. This includes full-stack instrumentation (monitoring, alerting, and tracing) to detect and mitigate production issues.
Product Innovation: Implement and evolve real-time detection and decisioning flows within the Sightline Cyberfraud Defense platform, collaborating with security researchers, data science, and product teams.
Cloud-Native Operations: Build and operate services in a Kubernetes environment using a modern GitOps stack (Go, Kafka, Redis, MongoDB, BigQuery, ArgoCD, Pulumi, Crossplane), ensuring robust rollout strategies and safe migrations.
AI-Forward Engineering: Demonstrate a deep passion for the AI-first development frontier and an expert-level ability to leverage assistants and agents to radically accelerate the entire lifecycle - from architectural scaffolding to automated tasks, skills, and complex debugging/testing.
Cross-Functional Collaboration: Partner with adjacent teams to design end-to-end flows that balance security, performance, and customer experience.
Technical Leadership: Contribute to technical design reviews and code reviews, raising the bar for quality and operational excellence across the team.

We are looking for a Senior Backend Engineer (AI DLP) to join the team building our next-generation DLP product. The team is extending our data-security platform from understanding sensitive data at rest to protecting it at the moment it is used or shared-including across browsers, GenAI applications, and employee endpoints.

You will help build the control plane behind this product: the services that manage endpoint identity and enrollment, policies, classification, device configuration, telemetry, and the connection between our DSPM intelligence and real-time DLP decisions. This is a role with substantial technical ownership, direct customer impact, and close collaboration across Product, Research, Data, Frontend, and Infrastructure.

Responsibilities
Design and implement core backend components of our DLP control plane.
Own features end-to-end: architecture, implementation, testing, rollout, observability, and production operation.
Build secure, reliable multi-tenant services that communicate with browser extensions and endpoint agents deployed across customer endpoint fleets.
Connect our DSPM classification and policy systems with real-time endpoint enforcement, translating data-at-rest intelligence into actionable protection.
Design APIs and data models that support large endpoint fleets, frequent policy updates, offline clients, credential rotation, and safe software upgrades.
Improve the scalability, performance, reliability, and operational visibility of the DLP platform.
Conduct design and code reviews and help establish strong engineering practices.

we are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
As a Senior Backend Engineer in the Routing team, you will be responsible for designing, building, and scaling the backend systems that power our companys core products. Youll work on high-impact, distributed services that manage geospatial data, large-scale databases, real-time events, and mission-critical workflows used across multiple teams and regions. Your work will directly influence system reliability, performance, and developer productivity at scale.
You will collaborate closely with Product, Infrastructure, Data, and other engineering teams to define system boundaries, evolve shared services, and ensure our backend platform can support rapid product growth. You will be part of a highly skilled and motivated engineering group responsible for building robust, scalable, and maintainable backend systems that operate in real time and at high load.
What Youll Do:
Design, build, and scale backend systems and data pipelines that power our companys GIS and mapping platform, from initial design through production deployment and long-term ownership.
Own features end-to-end with strong accountability, including design, implementation, testing, deployment, monitoring, and ongoing maintenance.
Develop and maintain Python-based data pipelines that ingest, process, and transform large-scale OpenStreetMap (OSM) and other geospatial datasets.
Model, store, and query complex geospatial data using PostgreSQL and PostGIS, including road topology, zones, polygons, points, and other business-critical spatial entities.
Optimize database schemas, spatial indexes, and queries to efficiently handle large datasets and high-throughput workloads.
Build and maintain backend services and APIs that expose geospatial and mapping data to other backend services, frontend applications, and data consumers.
Collaborate closely with other backend teams, frontend teams, data teams, and infrastructure to align on data contracts, system boundaries, and cross-team initiatives.
Improve system reliability, observability, and performance through monitoring, alerting, benchmarking, and continuous optimization.
Contribute to architectural decisions, technical standards, and best practices, while mentoring other engineers and raising the overall engineering bar.

We are looking for a Senior Backend Engineer to join a high-impact, multi-disciplinary team building a customer-facing product trusted by health industry specialists. This team is solving complex technical challenges with a modern stack to power core growth engine.
In this role you will collaborate closely with other R&D, Product, and Data teams.
What Youll Do :
Architect & Build: Design and construct high-performance, production-grade backend systems and applicative services built for reliability and maintainability.
Own E2E Lifecycle: Take complete end-to-end ownership of backend features from concept to production- including architectural design, testing, shipping, and active monitoring.
Cross-Domain Collaboration: Partner closely with Product Managers, Data Scientists, and R&D teams to translate complex data pipelines and product needs into scalable technical solutions.
Elevate Engineering Standards: Participate in rigorous code reviews, establish architectural best practices, and help mentor team members across the organization.

As a Senior Backend Engineer, you will play a critical role in building our Data & AI Lifecycle Security Platform. You will be a core developer, responsible for navigating our product and technical architecture, working with cutting-edge technologies like Go, Kubernetes,Temporal, and with different AI platforms. In our fast-moving startup environment, we value precision and focus on business goals, ensuring that every development decision is aligned with delivering impactful results quickly.

What Youll Do
Design, build, and operate scalable backend services using Go, Kubernetes, and Temporal
Collaborate with Product, Research, and Platform teams to translate business needs into technical solutions
Integrate with AI and LLM platforms, cloud providers, and data sources
Own architectural decisions while balancing speed, reliability, and long-term maintainability
Implement best practices for code quality, testing, observability, and production readiness
Debug and resolve complex production issues and improve system resilience

We're looking for a Senior Backend Engineer to help build and scale the Machine Learning Platform that powers how we use AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
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:
Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units
Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management
Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring
Evaluate and choose the right tools and technologies based on workload demands and performance requirements
Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals
Identify and fix reliability, scalability, and performance gaps before they become problems.

Join our company to be a part of something meaningful. We are transforming transportation worldwide, helping cities become smarter, greener, and more connected. From redefining daily commutes to tackling humanitys environmental challenges, our vision is bold - and we need exceptional minds like yours to make it happen.
As a Senior Backend Engineer at our company, youll be a vital part of our TLV-based R&D team. Together, we design, build, and scale cutting-edge backend systems that power our global operations. Youll thrive in a culture that blends innovation, collaboration, and agility, where your work will directly impact the lives of countless individuals and transform how communities move.
What Youll Do:
Architect, build, and scale robust and modern microservices - from initial design through deployment to production.
Own features end-to-end: from concept through development, testing, deployment, and maintenance - with a strong sense of accountability.
Lead system design decisions, define service boundaries, and help shape scalable architecture for global usage.
Write production-grade, efficient code that emphasizes performance, reliability, and maintainability.
Collaborate cross-functionally with engineering, product, and design to drive features that deliver real value to users.
Stay ahead of the curve by constantly evaluating and integrating emerging technologies and development practices.
Promote engineering excellence: code reviews, mentorship, clean code principles, and advocating for best practices across the board.
Mentor junior engineers and contribute to growing team expertise through knowledge-sharing and technical leadership.

We are looking for a Backend Software Engineer to join the team and help develop the integration and enforcement layer behind our products. You will work on production software deployed in diverse environments, solve complex web and infrastructure challenges, and own features from design through delivery and operation.
What youll do:
Design, build, and maintain backend and edge components that integrate our detection and enforcement capabilities into customer environments.
Develop reliable, secure, and maintainable services and SDKs, primarily using JavaScript and TypeScript.
Own the full software lifecycle, including technical design, implementation, testing, deployment, monitoring, troubleshooting, and continuous improvement.
Optimize performance and reliability for latency-sensitive components that operate directly in the request path.
Solve portability and integration challenges across different platforms, runtimes, and customer architectures.
Collaborate closely with Product, Security Research, Customer Success Engineering, and other Engineering teams to deliver end-to-end solutions.
Investigate complex production and customer-integration issues and turn what you learn into product and engineering improvements.

As a Senior Back End Engineer, you will play a crucial role in designing, building, and optimizing the core backend systems that power our advanced AI-driven security tools. Your work will be instrumental in ensuring that our platforms are scalable, secure, and efficient, enabling our AI engines to process vast amounts of data, assess risks, and deliver actionable insights.


What you will do:
Design, develop, and maintain robust and scalable backend systems to support our Security's AI-driven security tools.
Collaborate with the AI, front-end, and product teams to integrate backend services with AI models and data processing pipelines.
Optimize the performance and reliability of backend services, ensuring low latency and high availability.
Implement and manage APIs that facilitate seamless integration with external systems and internal components.
Ensure that backend architecture adheres to security best practices, safeguarding sensitive data and maintaining compliance with industry standards.
Monitor, debug, and resolve any issues in the production environment to maintain system health and uptime.