לוח משרות דרושים Backend Engineer משרה מלאה, לחיפוש זה נמצאו 129 משרות

we are looking for a Senior AI Software Engineer.
As a Senior AI Software Engineer, you'll help build that platform end to end - the agents, connectors, automation, and infrastructure that let the entire company unlock major productivity gains. You'll be designing and shipping AI that takes real work off people's plates, turning manual processes into automated ones, and building the systems that let teams do their best work faster.
Developing our use of Claude and Databricks - currently the backbone of that internal AI stack - is a key part of the mandate. Every one of our 500+ team members already uses Claude and BI in Databricks for analysis, automation, and research, and demand for deeper integrations is growing faster than our R&D team can deliver. You'll be tasked with driving these capabilities and impact to the next level - from surface-level usage to genuinely agentic, high-leverage workflows embedded across the business.
This is a hybrid role: part platform engineer, part internal-facing integration lead. You'll report to the COO and partner across AI Operations, R&D, Data Science, GTM, and other teams, owning the path from integration request to production-grade system. You'll also help build the triage and review process so the broader org can self-serve safely.
If you want to build the AI backbone of a fast-moving company - and see your work adopted by hundreds of people within days rather than quarters - this is that role.

We are looking for a Senior Backend Engineer to join our Data Export Team. In this role, you will lead the architecture and development of backend microservices that drive our entire distributed export ETL infrastructure. You will build the intelligent service layer responsible for orchestrating, executing, and scaling high-throughput batch and real-time data transformations.
RESPONSIBILITIES:
Service Ownership: Own backend microservices end-to-end-from architecture and API design to production deployment, observability, and continuous execution tuning.
ETL Engine & Performance: Drive performance, throughput, and sub-second reliability across our distributed ETL infrastructure, using data, profiling, and operational metrics to guide architectural decisions.
Pipeline Infrastructure: Build, orchestrate, and scale high-throughput batch and real-time streaming data pipelines supporting analytics, export workflows, and UI platform integrations.
Cross-Functional Collaboration: Partner closely with Product, Data Science, Analytics, and cross domain RnD teams to turn complex data movement requirements into seamless backend integrations.
Technical Excellence: Raise the engineering bar across the team through design reviews, robust code reviews, asynchronous system architecture discussions, and technical mentorship.

Our engineering team is at the core of how modern data security is built. We are redefining how organizations understand and protect their most sensitive data in a world of growing scale, speed, and complexity. By combining high-performance systems with intelligent, AI-driven capabilities, we challenge traditional approaches and push the boundaries of what data classification can achieve.
Were looking for engineers who thrive in open-ended environments, are energized by hard problems, and are motivated to build solutions that dont yet exist. This role is about more than writing code. Its about shaping how intelligent systems detect, interpret, and protect data across cloud and endpoint environments.
In this role, you will play a central part in designing and building a core classification engine that powers multiple security solutions across the platform. Your work will directly influence how different products identify risk, enforce protection, and operate at scale. Youll work at the intersection of large-scale systems and applied AI, turning raw signals into accurate, reliable insights that help customers secure their data with confidence.
Key Responsibilities
Build and scale AI-driven data classification and detection capabilities for next-generation data security products.
Design systems that identify, classify, and protect sensitive data in real time across cloud and endpoint environments.
Lead technical design discussions and influence architecture for large-scale data processing systems.
Partner with product, infrastructure, and other engineering teams to deliver tightly integrated solutions.
Solve complex engineering challenges related to scale, performance, reliability, and operations.
Raise the technical and collaborative bar by mentoring, sharing knowledge, and improving team practices.
Proactively suggest ideas, lead initiatives, and drive continuous improvement across the product and engineering processes.

We are looking for an engineer who can take ownership of a solution from understanding the business problem through production delivery and continuous improvement.
AI-assisted development tools are a core part of how you work. You use them daily, critically, and effectively to improve the quality and speed of software delivery.
You will report to a Domain Architect and work closely with senior engineering, product, and business leaders on AI initiatives and other high-impact challenges.
You will contribute across the full lifecycle: problem definition, solution design, implementation, evaluation, deployment, monitoring, and production support.
What youll do:
Own the full loop - understand the problem, define the solution, architect it, ship it, monitor it. No one hands you a spec
Build with AI as your primary tool - Claude Code, Cursor, whatever gives the most leverage; do in a day what used to take a team a week
Co-design with stakeholders and the business - decision logic, risk thresholds, success metrics
Build the evaluation harness before you ship - if you cant measure it, its not done
Own production from day one - monitoring, alerting, observability; youre on call for what you build
Raise the bar - in design reviews, in code, and in how the team works

we are looking for a Staff Engineer.
As a Staff Software Engineer on the Modernization Team, you will tackle the deepest, most systemic architectural challenges in platform owning end-to-end migrations, building shared infrastructure, and creating the tooling that enables every product team to move faster and more safely.
The Modernization Team operates with a native agentic mindset this is not an add-on or an experiment; it is core to how we build. We apply AI-assisted development across every phase of our work: automated code generation, AI-driven migration scripts, intelligent test generation, code review, and documentation. Our goal is not just to write code faster it is to build tooling that multiplies the output of every engineer working on modernization challenges.

we are looking for a Backend Engineer - OT Security Team.
Responsibilities:
Design and build the software that talks directly to enterprise network switches: real devices, real production networks, real impact.
Push the boundaries of how we manage devices at scale: new protocols, new vendors, better abstractions.
Build the cloud backend that turns raw device data into something powerful (Go/C#, gRPC, PostgreSQL).
Solve hard, unglamorous distributed-systems problems: concurrency, reliability, scale - with code that ships to production and protects real infrastructure

We are looking for a highly skilled and versatile Backend Engineer to join our development team. As a Backend Developer, you will be responsible for designing, developing, and maintaining the infrastructure and components of our platform. As part of your role, you will work on the backend aspects of our platform and collaborate with stakeholders and cross-functional teams to optimize full-cycle system performance.
Responsibilities:
Develop and maintain code deployed on the cloud side and on Linux.
Collaborate with cross-functional teams to achieve project goals.
Implement high-performance applications with high coverage, maintaining minimal footprint ensuring code is maintainable.
Troubleshoot and resolve complex technical issues related to Linux internals.

We are looking for a highly skilled and versatile Senior Backend Engineer to join our development team. As a Senior Backend Engineer, you will be responsible for designing, developing, and maintaining the backend infrastructure and components of our platform. As part of your role, you will also work on the frontend aspects of our platform and collaborate with stakeholders and cross-functional teams to optimize full-cycle system performance
Responsibilities:
Design, develop, and maintain backend systems and APIs to support our web applications.
Implement and optimize data storage solutions, including databases, to ensure efficient and reliable data management.
work closely with front-end developers to integrate backend functionalities and ensure a seamless user experience.
Collaborate with product managers, stakeholders, and cross-functional teams to gather requirements, translate them into technical specifications, troubleshoot and resolve backend-related issues, and optimize system performance.

is seeking a highly skilled Backend Engineer to join our dynamic team. The ideal candidate will have expertise in Backend technologies, with a strong focus on cloud infrastructures and event-driven architecture. This role will be central to developing and maintaining robust, scalable, and high-performance solutions that secure machine and non-human identities in cutting-edge ecosystems.
What Youll Do:
Design, develop, and maintain efficient and scalable cloud-native backend systems with a focus on securing token-based and machine identities.
Build and enhance API integrations with third-party applications to facilitate secure data collection and sharing.
Own the architecture of NHI agent services, ensuring scalability, networking efficiency, robust security, and data storage optimization.
Develop advanced monitoring and automation tools to maintain system stability and deliver performance benchmarks.
Design and implement big data solutions and pipelines for large-scale data processing and analytics using tools like Spark and Snowflake.
Take ownership of projects, driving them end-to-end from ideation and design to development, deployment, and maintenance.
Work collaboratively with cross-functional teams to define, design, and launch innovative features tailored to the NHI ecosystem.
Drive a customer-first mindset by understanding the users' needs and developing solutions that exceed expectations.

Were hiring a ML Engineer to accelerate AI-driven innovation across 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 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.

We are looking for a motivated and experienced Backend Engineer with 7+ years of hands-on experience to join one of our teams. As a Backend Engineer, you will take ownership of features across the entire development lifecycle - from initial concept and design to deployment and maintenance in an enterprise-grade production environment. This role involves close collaboration with the product team to turn ideas into high-quality, functional software.

Responsibilities:
Develop and lead the end-to-end implementation of new features and product offerings.
Design, build, and maintain efficient, reusable, and reliable code across the full stack.
Collaborate with product managers and engineers.
Participate in all phases of the development lifecycle, including analysis, design, coding, testing, and deployment.
Ensure application performance, quality, and responsiveness.

We are looking for a passionate and skilled software engineer to join our Cortex XSOAR Content R&D group. You will develop new solutions that will transform the future of security orchestration and automation around the globe, specializing in Python programming.
You will be responsible for the design, implementation, delivery, and quality of our services in an Agile environment.
Furthermore, you will be collaborating with global tech, product, and security research teams, interfacing with other groups around the globe, and joining a rapidly growing Cybersecurity community.
Your Impact:
Taking a leading role in the design and implementation of the content layer of the market leader SOAR platform.
Setting high-quality standards, seeking and choosing technical solutions to meet current and future needs.
Providing technical leadership and guidance, including design and code reviews.
Being accountable for product delivery, quality, and timelines.

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.

We are developing products and intelligence solutions in the Cyber and IoT domains.
As a Senior Backend Engineer, you will design and implement backend services, lead architectural decisions, collaborate with cross-functional teams, and mentor junior developers. You will take ownership of complex tasks, manage project flows within your squad, and bring strong technical opinions and architectural insights.
The role requires excellent multitasking skills, strong context-switching ability, and a proactive, mission-driven mindset.
Responsibilities:
Design, develop, and maintain scalable backend services and microservices.
Lead and participate in architectural planning, proposing high-quality solutions and improvements.
Work closely with product, frontend, DevOps, and data teams to deliver end-to-end features.
Break down complex tasks, manage project execution within the team, and ensure on-time delivery.
Mentor junior engineers and support onboarding of new team members.
Write clean, maintainable, well-tested code following industry best practices.
Develop integrations with various internal and external systems using diverse interface protocols.
Maintain ownership of features from design through deployment and ongoing operation.

Were looking for a hands-on Data Platform Team Lead to guide a high-performing team in designing, scaling, and operating the infrastructure that powers Chargeflows platform.

This role combines architectural leadership with people management. Youll define the technical direction for our data platform while developing engineers, strengthening execution, and building a culture of ownership and technical excellence.

Youll be responsible for the reliability, performance, security, and cost efficiency of data systems supporting millions of daily transactions and critical product, machine-learning, and analytics use cases. This is a role for someone who can move comfortably between long-term architecture, hands-on technical problem-solving, and day-to-day team leadership.

The impact youll have

Build and evolve the data infrastructure that safeguards our clients revenue and powers critical product, ML, and analytics use cases.
Establish scalable engineering standards and operational practices (reliability, security, governance, and cost efficiency).
Lead and grow a team of data/infrastructure engineers while cultivating technical excellence and psychological safety.

What youll own (Your arena)
Leadership & Mentorship: Lead, mentor, and scale a team of talented data and infrastructure engineers.
Create strong execution rituals: clear ownership, high-quality delivery, feedback loops, and growth plans.
Data Infrastructure & FinOps: Own the architecture and evolution of our modern data stack and platform services.
Drive cloud cost management (FinOps): cost visibility, optimization initiatives, and capacity planning.
High-Performance Engineering: Oversee the design of distributed systems, real-time streaming, and batch pipelines capable of processing millions of daily transactions with minimal latency.
Define technical direction for storage, compute, and data movement patterns (event-driven + lakehouse).
Operational Excellence Champion Infrastructure-as-Code (IaC), CI/CD, and testing practices for infrastructure and data systems.
Establish observability standards (monitoring/alerting, SLOs, incident response, postmortems).
Partner on security compliance and data governance across the R&D organization.
Strategic Collaboration: Act as the bridge between data engineering, product, data science, and core R&D teams to execute cross-functional initiatives.
Translate business goals into platform roadmaps, milestones, and measurable outcomes.