דרושים » ניהול ביניים » Staff software engineer

We are looking for a Senior Backend Engineer to architect the high-performance backbone.

You will build the Agentic Architecture- the distributed systems, task-orchestration layers, and real-time execution environments that allow AI agents to perceive the market and act autonomously

What you'll do
Architect Agentic Service Infrastructure: Design and scale the high-concurrency backend services and distributed systems that power our AI agents' real-time decision-making.
Build the RAG & Execution Engine: Engineer the backend services for vector search, context-aware retrieval, and the "memory" layers required for agentic workflows.
Develop High-Performance Extraction Systems: Build resilient, distributed crawling and scraping services that function as the "sensory" input for our engine.
System Orchestration: Manage the integration of LLMs and predictive models into the core product API, ensuring low-latency execution and high system reliability.
Define Engineering Excellence: Establish backend architectural patterns, coding standards, and service-oriented best practices for the entire engineering team.

We're looking for a hands-on Senior backend Engineer to join the App Studio & Intelligence team within our company's GenAI Group. Our group builds the company's core Generative AI products - including a company-wide agents platform and customer-facing AI assistants - enabling teams across our company and our customers to design and deploy AI-driven solutions. In this role, you'll design and build scalable microservices and cloud-native infrastructure at the heart of our GenAI applications, working with advanced AI capabilities such as knowledge bases, embeddings, LLM orchestration, agent frameworks, and evaluation systems. You'll be a senior technical voice on the team - owning complex features end-to-end, raising the engineering bar, and shaping how AI capabilities are delivered in production.
?What You'll Do Design, build, and own backend services and infrastructure for our GenAI applications - scalable, resilient, production-grade systems running on AWS. Build the APIs, data pipelines, and backend integrations that power advanced AI capabilities, including knowledge bases, embeddings, LLM orchestration, agent workflows, and evaluation frameworks, with attention to performance, scalability, and security. Lead complex design efforts - driving architecture discussions, design reviews, and technical decisions for significant areas of the system. Collaborate closely with product, data science, and other engineering teams to translate business needs into robust backend solutions that enable AI-agent use cases. Raise the engineering bar through code reviews, mentoring less experienced engineers, and championing best practices in quality, observability, and operational excellence. Take ownership of production health, including monitoring, alerting, troubleshooting, and continuously improving system reliability.
Position Intro:
we are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. our company has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

ShiftLeft is building the cloud security platform for developers (AppSec). Our platform empowers teams to find, fix, and prevent security risks in application code and infrastructure as code through automation and security-as-code principles. We're looking for a skilled Senior Backend Engineer to join our team and contribute to our Cortex Cloud platform.
As a Senior Backend Engineer, you'll have a high-impact role in shaping the future of our code security products. Beyond building robust and scalable backend features, you'll help drive performance, reliability, and innovation across our systems. Our group owns and leads the departments data pipelines, databases, and enrichment and persistence flows. If you're excited by technical challenges, meaningful ownership, and making life easier for developers - this is the place for you.

Were looking for a Senior Backend Engineer to join our R&D team and lead the development of our core backend systems. You will design and scale the services that ingest, analyze, and correlate massive amounts of data from cloud environments. This work is central to our companys platform and directly impacts our real-time detection, insight generation, and customer experience.
About the role
Youll design, build, and optimize backend services and microservices that operate at scale and power our companys core functionality.
Youll architect and implement data ingestion and processing pipelines capable of handling high-throughput, high-variance data.
Youll develop systems that detect anomalies, correlate contextual signals, and generate actionable insights for customers.
Youll drive architectural decisions, contribute to long-term system design, and own your services all the way to production.
Youll ensure the platform is resilient, secure, observable, and performant as usage grows.
Youll participate in cross-team design reviews, technical planning, and initiatives to advance engineering standards.
As a key contributor in a high-velocity startup environment, youll influence internal best practices and help shape product direction.

Were looking for a Senior Backend Engineer to help build the core systems powering our company- the infrastructure, APIs, data pipelines, and AI-driven engines behind the product.
Youll own major parts of the backend, work closely with Product, AI, and Frontend, and ship features that are scalable, observable, and secure.
What you will do
What Youll Do
● Build scalable, production-grade backend systems that power our companys core product and AI capabilities
● Own features end-to-end: clarify requirements, design architecture, implement, test, ship, monitor, iterate
● Design and build services that support complex workflows (including AI-driven flows)
● Improve system reliability: observability, monitoring, incident readiness, performance tuning, and cost awareness
● Collaborate tightly with Frontend, Product, and AI/ML to deliver fast iterations with high quality.

As a Senior Backend Engineer on the Platform & Infra Team, you will own the core plumbing of the company ecosystem:
Architecting Scalability: Design and optimize the core processing systems that handle massive concurrency and petabytes of video/audio data.
Driving DevEx: Create the tools, internal platforms, and CI/CD abstractions that empower our product teams to ship code faster and more safely.
GraphQL & API Excellence: Own and optimize our GraphQL layer to ensure seamless, high-performance communication across our microservices.
Infrastructure as Code: Maintain and evolve our AWS environment, focusing on automation, observability, and cost-efficiency.
AI Infrastructure & Agentic Systems: Build and scale the infrastructure powering Riversides AI workflows, including MCP integrations and agent-based systems, with a focus on reliability, observability, and real-time orchestration.

We are building a next-generation Workforce AI Security platform that helps enterprises manage, secure, and govern AI-powered products at scale. We are looking for a Senior Backend Engineer to join the core backend team and own foundational services used across the platform. The role is focused on production-grade backend engineering, distributed systems, APIs, reliability, and clean, maintainable design.
Key Responsibilities
Design, build, and own backend services from design to production.
Build secure, scalable APIs and microservices for core platform capabilities.
Work on domains such as policy flows, identity/authentication, tenant and license management, client/agent services, MCP protection, analyzers, and business-logic services.
Design reliable flows for service-to-service communication, caching, background processing, data persistence, and multi-region production environments.
Participate in architecture discussions and improve system design, performance, security, reliability, and observability.
Write clean, maintainable, well-tested code and take ownership of delivery quality.
Collaborate closely with product, architects, frontend, DevOps, security researchers, and other engineering teams.
Troubleshoot production issues and contribute to strong engineering standards and best practices.
Own backend data-platform capabilities, including event schemas, ingestion pipelines, and reusable query layers for high-volume, multi-tenant product analytics.