דרושים » תוכנה » Senior Software Engineer - DataEngine

we are looking for a Senior AI Engineer to design and build production-grade, LLM-powered systems. You'll work at the intersection of software engineering and applied AI - shipping agents, RAG pipelines, and tool-using systems that solve real problems at scale. This is a hands-on, high-ownership role for someone who thrives at the frontier of what's possible with modern LLMs and isn't afraid to write the glue, the infrastructure, and the prompts that make it all work.
This is a **cross-functional, company-wide role**. You won't be embedded in a single product team - instead, you'll partner with every department to identify high-leverage opportunities and build AI-powered tools and workflows that boost productivity and efficiency across the entire organization.
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
What You'll Do:
- Design, build, and operate LLM-powered applications, agents, and workflows end-to-end - from prototype to production.
- Architect retrieval, context engineering, and tool-use strategies that make models reliable, accurate, and cost-efficient.
- Integrate LLMs with internal services, third-party APIs, and data stores to automate complex business and engineering workflows.
- Build, evaluate, and continuously improve evaluation harnesses for non-deterministic systems.
- Collaborate closely with product, research, and platform teams to translate ambiguous problems into shipped capabilities.
- Stay ahead of the rapidly evolving LLM ecosystem (models, frameworks, agentic patterns) and bring the best ideas into our stack.

We are seeking an exceptional Senior Backend Engineer to join our Platform Group, where you will architect and develop shared infrastructure components that power enterprise security and identity products. This is a highly collaborative role requiring both technical excellence and strong cross-functional partnership skills.
What You'll Do:
As a Senior Backend Engineer on our Core Platform team, you will:
Design and build shared platform components used across multiple product teams, ensuring scalability, reliability, and maintainability
Architect distributed systems using microservices and event-driven patterns that support enterprise-scale workloads
Own critical backend services from conception through deployment, including code quality, performance optimization, and operational excellence
Collaborate extensively with product engineers, DevOps, and architects to define platform capabilities and technical standards
Mentor junior engineers through code reviews, pair programming, and technical guidance
Drive technical initiatives that improve developer productivity, system observability, and platform resilience
Contribute to architectural decisions and establish best practices for backend development across the organization
Analyze system performance and data patterns to identify optimization opportunities and inform future platform investments

We are looking for a highly skilled Software Engineer to join our platform management team. This team is responsible for the development, scaling, and maintenance of our core platform, which serves as the backbone for our product offerings.

Youll work on backend technologies, designing and implementing features that drive our platforms growth, stability, performance and intelligence.

In this role, you will also help drive the integration of modern AI capabilities into our platform, including working with Large Language Models (LLMs), AI-driven workflows, and emerging paradigms such as Model Context Protocol (MCP).

If you are passionate about building scalable, high-performance systems, enjoy solving complex technical challenges, and excited about applying AI in real-world products, we would love to hear from you!

Key Responsibilities
Lead, design and build highly scalable and high-quality web applications by enforcing best practices around software engineering architecture and processes
Work with Model Context Protocol (MCP) or similar frameworks to enable structured interactions between systems and AI models
Raise the bar on engineering excellence by improving standard methodologies, producing best in class of code, documentation, testing, and monitoring
Identifying and resolving technical issues and performance bottlenecks.
Collaborate with cross-functional teams (including Product managers, DevOps, and Support) to ensure smooth feature releases and platform stability
Stay up to date with emerging technologies in backend engineering and AI/LLM ecosystems, and drive their adoption where relevant.

We are looking for a Senior Software Engineer to join our CI Infrastructure team within the Platform Engineering organization.
The team designs, builds, and operates the internal engineering platform that powers our companys build, test, and security validation workflows. This includes large-scale orchestration of complex test environments, hybrid cloud/on-prem execution infrastructure, DevSecOps integrations (SCA, SAST, policy enforcement), and advanced optimization mechanisms.
Our mission is to provide a scalable, reliable, and intelligent CI platform that enables hundreds of engineers to build and validate a complex distributed networking product efficiently and safely.
This is a hands-on engineering role focused on scalability, observability, reliability, and intelligent automation, with direct impact on engineering velocity and release confidence.
What Youll Do
Design and evolve scalable CI infrastructure for build and large-scale test execution
Develop automation and orchestration systems across hybrid environments (AWS and on-prem)
Integrate and optimize security validation flows (SCA, SAST, quality gates) within CI
Improve reliability, performance, and observability across high-volume CI workloads
Develop AI-assisted tooling and agents to optimize test selection, failure analysis, and resource utilization
Analyze CI data to identify bottlenecks, flakiness patterns, and optimization opportunities
Collaborate with R&D, Automation, and Security teams to continuously improve CI architecture and best practices
Take ownership of critical platform components used daily by large engineering teams.

At our company, we redefine cyber defense vision by combining AI and human expertise to create products that protect nations and critical infrastructure. This is more than a job; its a Dream job. we are where we tackle real-world challenges, redefine AI and security, and make the digital world safer. Lets build something extraordinary together.
our company's AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Built as part of a broader sovereign AI platform, our technology is designed to operate in on-premise, private cloud, and air-gapped environments, enabling nations to maintain full control over their data, infrastructure, and AI capabilities. Central to our company's proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity.
At our company, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.
Responsibilities
Architect and evolve the AI platform - agent orchestration, LLM gateways, context engineering pipelines, evaluation infrastructure, tool-calling systems, and retrieval pipelines - through RFCs, prototypes, and design reviews.
Lead and grow a small team of AI Engineers building the agent framework, production backend services, and AI platform infrastructure - hire, mentor, pair on hard problems, and raise the bar through hands-on code and design reviews.
Contribute to critical systems, debug production incidents, and maintain enough codebase context to make sound technical calls.
Own reliability across AI and agent services - set and enforce SLAs, build observability for non-deterministic systems, and harden tool execution environments for cost and security.
Set the standard for AI engineering practices - agent testing strategies, evaluation frameworks with human-in-the-loop oversight, retrieval quality benchmarks, and CI/CD for AI systems.
Work closely with ML Platform, Data Platform, DevOps, Data Science, and Product teams across the Applied AI Engineering group - ensure the AI platform evolves to serve teams building agentic workflows across the organization.
Measure and improve developer experience - deploy friction, onboarding time, CI turnaround - as seriously as system performance.

Were looking for a Senior Software Engineer to join the AZ Team in Tel Aviv - a group of passionate developers building the secure, scalable backbone of our Customer Experience (CX) Platform.
Our CX organization is one of the companys fastest-growing and most innovative groups, crafting a first-in-class digital experience for our customers and partners everywhere they connect with us. The CX Platform supports diverse business requirements using emerging technologies, including predictive and generative AI, to drive customer success and accelerate time to value.
Were at the epicenter of developing modern, cloud-native technologies that keep us agile and adaptable in a constantly evolving market. The AZ Team does it from A to Z - for developers, by developers. We own everything from user management, authentication, and authorization to the data consumption layer that enables developers to build securely and efficiently. Our mission is to deliver seamless, scalable, and developer-friendly foundations that make it easy to create, connect, and innovate - ensuring that every part of the platform, from login to data insights, just works.
Your Impact
As a key member of the AZ Team, youll play a pivotal role in shaping the foundations of our CX Platform - driving features and architectural decisions from concept to production-grade solutions. Youll design and build secure, scalable systems for user management, authentication, authorization, and data access that serve thousands of developers across.
You will:
Design, develop, and build platform-wide authentication and authorization services, creating a cohesive identity fabric that integrates seamlessly with multiple identity vendors and systems.
Lead the evolution of the data consumption layer, enabling governed, efficient, and context-aware access to data across the CX ecosystem.
Drive architectural decisions from concept to production, ensuring solutions are secure, scalable, and optimized for both developer experience and operational excellence.
Leverage AI and automation to enhance access control, anomaly detection, and developer productivity - turning complex platform insights into actionable intelligence.
Collaborate cross-functionally with product, data, and infrastructure teams to build interoperable solutions that power our next-generation developer platform.
Influence platform-wide engineering standards, promoting robust design, observability, and maintainability across services.
Champion developer experience, crafting APIs, SDKs, and tools that simplify integration and accelerate innovation.
Mentor and guide engineers, fostering a culture of technical depth, curiosity, and impact-driven innovation.

We are looking for an excellent Software Developer to work on our cloud platforms based on Kubernetes. We are seeking an experienced engineer who is deeply technical, hands-on, and has a wide system view. You will design, build and deploy high-performance and scalable clouds based on our superior ConnectX and Bluefield NICs and SpectrumX AI platform. We want to grow our teams with the smartest people in the world. If you're creative and autonomous, we want to hear from you!
What you'll be doing:
Design and implement new features to accelerate Network and Storage
Work closely with open source communities, participate in the relevant working groups
Work with different teams across
Mentor members of the team, enabling them to deliver high-quality software.

We are seeking a skilled Site Reliability Engineer (SRE) to join our team and help build, maintain, and improve the reliability, scalability, and performance of our systems. As an SRE, you will be responsible for owning and evolving our observability tooling, using real-time insights to make data-driven decisions about system behavior and performance at runtime, and implementing automation to enhance our infrastructure. This role involves collaborating across teams to ensure a robust and efficient technology stack supporting mission-critical systems.

You will:
Proactively enhance system reliability, scalability, and performance through automation, monitoring, and capacity planning.

Develop and maintain observability systems, including distributed tracing, logging, and metrics platforms.

Establish and maintain organizational standards for monitoring, leveraging tools like Prometheus, Grafana, and OpenTelemetry.

Use observability tools to analyze runtime behavior and make data-driven decisions that improve system performance and reliability.

Partner with development teams to integrate reliability best practices into the software development lifecycle.

Manage infrastructure at scale in cloud services (AWS advantage) and platforms like Kubernetes.

Optimize resource utilization to reduce costs while maintaining service quality.

Contribute to the development and adoption of AI-driven tools and practices for engineering and observability.
What success looks like:

You are a trusted technical leader within the organization, mentoring others and helping shape the evolution of our SRE and observability practices.

You reduce the frequency and impact of production incidents by building resilient systems and using observability insights to address issues before they escalate.

You significantly improve observability: key metrics, logs, and traces are consistently available, well instrumented, and actionable across all critical services, enabling fast, informed decisions and rapid resolution of issues.

You are actively engaged in proactive problem solving: you identify and resolve systemic issues before they impact customers, and continuously refine SLOs and SLIs to reflect evolving business needs.

We are looking for a Senior AI Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives, striving to constantly bring innovation and leverage AI capabilities across all company teams and products.
Today, AI is central to how we operate, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.
If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.
Why should you join us?
This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future. Together, well build infrastructure for autonomous and interactive agents, enact AI guardrails and evaluation frameworks to ensure performance and safety, and implement state-of-the-art
AI and Agentic patterns.
This role presents a unique opportunity to enter the AI domain. For those with some experience in AI infrastructure, it offers the chance to grow within a team that is evolving us from the AI experimentation phase to building and leveraging AI-powered products.
What you will be doing:
Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
Develop and maintain our internal MCP server that easily and securely exposes our vast data stores to AI agents.
Create and implement robust evaluation frameworks and AI guardrails to safeguard our value and ensure model reliability.
Establish deep expertise and sustainable AI engineering practices.
Promote AI readiness and track adoption across the company to build lasting impact.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
Partner with teams across to accelerate AI adoption and productization efforts.

We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era - search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. Youll build the framework that allows our customers to connect knowledge-synthesized from structured and unstructured data-to modern LLM-powered applications, leveraging the worlds best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability.

Responsibilities:

Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation

Design and build optimized indexing pipelines for structured and unstructured data

Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration

Improve retrieval quality through evaluation and observability frameworks

Design APIs for internal and external user and agentic consumers

Optimize latency, throughput and cost across large-scale inference and retrieval workloads

Drive technical direction for reliability and security