לוח משרות דרושים Senior Backend Developer, לחיפוש זה נמצאו 138 משרות

Were looking for an experienced Software Engineer to join the Cato DataSec team. In this critical role, you will join a team of experienced engineers building the next generation of Data Security platform. You will design and develop large-scale backend systems that process massive amounts of security data, build data pipelines, and enable advanced analytics and AI-driven security capabilities.

Responsibilities
Design and develop scalable backend services and data-intensive applications.
Build and maintain large-scale data pipelines that process and analyze massive volumes of security data.
Own features end-to-end, from architecture and backend implementation to production deployment.
Work closely with Product Management, Research, Data Science, SOC, NOC, and Automation teams to deliver new capabilities.
Design and implement enterprise-grade platform solutions with a focus on scalability, reliability, and performance.
Research and adopt new technologies to improve data processing, analytics, and AI-driven security products.
Collaborate with multiple engineering teams across the organization.

We're looking for a Senior Backend Engineer to join our R&D team. You will work closely with our product team to build our unique product offering. As a Senior Backend Engineer, you will be responsible for building complex backend designs that are both scalable and fault-tolerant, developing our data ingestion pipeline and introducing new analysis engines.


What You'll Be Doing
Design, develop, test, deploy, maintain and improve the software.
Youll have your domain of expertise in which you'll assist the product team with future directions, lead the technology and cooperate with other engineers.
Youll develop backend services that integrate with and ingest data from various cloud providers that store sensitive data.
Youll build pipelines that analyze, classify, correlate and process this data.
Youll build systems that detect anomalies in the ingested data for alerting the customer, that automatically resolve issues and that generate sophisticated yet easily consumable insights arising from the processed data.
Youll have end-to-end responsibility from the technical design phase up to making sure the system is scalable and can meet high customer demands in production.
Youll identify and solve for bottlenecks within our software stack.
Youll bring innovation to the product
Youll work in an agile environment that focuses on high velocity and responds quickly to new insights.
As an all-around player, you'll work closely and at a high pace with other engineers, product, design, and other internal key stakeholders, as well as have a direct line of sight into how your work solves real-world problems for our clients and accelerates our business.

We are looking for a Rockstar backend developer to join our team. Its a great opportunity to join an innovative, interesting, and fast-growing start-up that will change the world of risk assessments
In this role, you will be responsible for the development of complex Microservices with high-scale architecture.
Responsibilities:
Responsible for designing and develop the platform from research to delivery
Drive the architecture and collaborate with a cross functional team on the overall design
Provide technical leadership and mentor junior team members
Design the platform for scale and high performance with the ability to handle large amount of data

Your mission will be to build a robust yet flexible system that can withstand such growth and expand our integrations with various healthcare providers using different data formats.

You will

Your responsibilities will span from design to implementation of a complex, time critical, micro services based system that processes high volumes of data. You will collaborate with various teams, including the algo, data and product teams, in order to deliver the best code using high end technologies.

Tech stack:

We are running on AWS with Python as the main programming language. We are using various technologies (such as S3, RabbitMQ, Temporal, Opensearch, DynamoDB, Postgres, Docker, Redis, Prometheus and others) to run our services. We are always open to new technologies and tools that will help us to do our job even better.

What success looks like:

You are able to work solo and also as part of a team, according to what is needed at that point

You own the teams domain to ensure code quality, performance and scalability of our products

You are eager to learn new things and also proactively suggest new ideas and initiatives

Were looking for a Senior Backend Software Engineer to help develop our hyperscaling platform.
We have a lot of tasks on Golang and little less on Java and Python.

In this position, your responsibility will be to:
Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

We are currently expanding our R&D center in Tel Aviv, where we are building advanced data systems, automation infrastructure, and intelligent workflows that power our products and enable the next wave of innovation in advertising technology.

This role focuses on building reliable data systems and automation infrastructure, while helping us introduce AI-driven and agentic automation capabilities that improve how our engineering and data platforms operate.

What You Will Do
Design and build backend services using Node.js and TypeScript
Develop and maintain data pipelines and automated workflows
Work with Snowflake, MongoDB, and large datasets
Improve reliability and performance of data processing systems
Build and maintain automation infrastructure that supports data and platform operations
Design systems that help automate engineering and data workflows
Write unit and integration tests for backend services and workflows
Collaborate with analysts and product teams to translate complex workflows into scalable systems
Participate in improving engineering standards, testing culture, and development practices
Drive the next generation of automation across the platform by designing AI-driven and agentic workflows that enhance how our engineering and data systems operate
Your Day-to-Day Work
Developing backend services and APIs
Optimizing queries and data processing workflows
Building reliable systems for processing large-scale data
Designing and implementing automation processes across data and engineering workflows
Supporting AI-driven and agentic automation initiatives across internal systems
Writing automated tests to ensure system stability
Collaborating with engineers in Israel and global teams

Design, scale, and operate high-throughput, low-latency services to support high scale of ingestion, augmentation, continuous ML training, and real-time prediction.
Design, implement, deploy, and own E2E cloud clusters, services, and infrastructure to support extreme workloads and traffic flow while maintaining a lean design and low-maintenance architecture.
As all our systems are data-driven, you will have an analytical aspect in measuring your modules both business- and performance-wise.
Build internal simulation tools and validation endpoints that let the team test changes against live traffic before they ship.
Work side by side with data scientists and researchers - designing, implementing, and owning entire areas of the system from prototype to production.
Technological superiority is what gives us our edge, so you'll work and stay up to date with the latest tech and trends.

We're looking for a hands-on Tech Lead to drive the technical direction of our core backend layer and lead the engineers building it. The systems you'll own handle bursty, high-throughput workloads: thousands of requests per second, strict latency requirements, distributed coordination, hard concurrency problems. You'll shape the architecture, review the designs, and still write the code.
What Makes This Role Different
Our backend team is the orchestration layer between:
Hardware control systems (C++)
Client-exposed SDK (Python)
Reporting and management system (Go)
Business logic (Java/Kotlin + Spring)
As Tech Lead, you're the technical anchor of that layer. When teams disagree on where a boundary belongs, you drive the decision. When a design has a flaw nobody's spotted, you catch it. When the hardest problem lands, you're close enough to the code to pick it up yourself.

As a Senior Backend Engineer, you will be responsible for architecting and building the production systems that bring LLMs to life at scale. You will lead the design and development of robust infrastructure and high-scale services, ensuring our AI capabilities are integrated into scalable, resilient, and performant backend architectures.

In this role, you will:

Design and implement high-performance backend services and APIs that power Paradoxs core AI products.

Bridge the gap between AI research and production-grade software, focusing on latency, reliability, and observability.

Promote engineering standards through rigorous code reviews, architectural design, and best practices in distributed systems.

Design and implement LLM evaluation frameworks to assess and integrate new AI models into real-world production flows.

Deeply understand product challenges to make intelligent and efficient software-building decisions.

We're looking for exceptional engineers with strong back-end fundamentals and proven experience building high-scale distributed systems to join us at Hola, where we offer a unique and widely used VPN service that serves millions of users around the world with a strong focus on privacy, performance, and innovation. In this role, you will solve hard engineering problems on a large-scale visual challenge solving platform that spans orchestration services, computer-vision inference, and cloud infrastructure. You will take full ownership of critical systems, from design to production, in a fast-paced and professional agile environment.

Responsibilities
End-to-end design, development and ownership of critical back-end services, from architecture to production.
Participate in system design and architecture planning, for optimal software performance, scalability and reliability.
Solve complex engineering problems: distributed state, concurrency, tail latency, fault tolerance and high-throughput pipelines.
Debug production issues end-to-end across services: gRPC channel churn, DNS/ASG failover, Redis queue backpressure, worker saturation and memory fragmentation.
Design and maintain solver logic for complex visual challenges: image grids, drag-and-drop, object detection and browser automation.
Build and optimize pipelines integrating OpenAI reasoning, computer-vision inference, Redis Streams, MongoDB session tracking and S3 screenshot archival.
Take on independent responsibilities, while contributing to the team's collective goals.
Actively learn, adapt and stay up-to-date with the evolving tech landscape, including best practices.

Required Senior Platform Engineer
About The Role:
As a Senior Platform Engineer, you will build the shared backend platform and AI enablement layer that every product team builds on top of, and you will be a key design partner across R&D - helping teams shape architectures for new AI-powered features, backend services, and agentic systems.
This is a force-multiplier role: instead of shipping one product feature, you raise the velocity and quality of every team. You will make key architectural decisions about how AI is integrated, how services communicate, and how engineers measure and improve what they ship - and you will coach and review designs across the org so we move fast without compromising on quality.
What You'll Do:
Lead and partner on architecture and design across R&D - running design reviews, shaping technical proposals, and helping teams choose the right patterns for AI, backend, and data-driven systems
Design and build core backend platform services and SDKs (auth, eventing, feature flags, configuration, data access) that product teams compose into AI-powered features
Build the AI enablement layer: shared LLM gateways, prompt and agent frameworks, evaluation and tracing tooling, model routing, guardrails, and cost/latency controls - so every team can adopt LLMs and agents safely and consistently
Define and own platform processes that improve engineering velocity and quality: service templates, paved-road patterns, code review standards, release workflows, and golden-path documentation
Build the observability and quality story for AI features end-to-end: structured logging, metrics, distributed tracing, LLM-call instrumentation, prompt/response evaluations, and regression detection
Research, prototype, and lead the selective adoption of new AI tooling, agent frameworks, and backend technologies into the platform.

We're looking for exceptional Senior Back-End JavaScript developers, with expertise in Node.js. MongoDB, Express, Kubernetes, RabbitMQ, Cassandra and Snowflake.

In this role, you will take full ownership of product and feature development, using cutting-edge technologies, in a fast-paced and professional agile environment.

*Hybrid position.

Responsibilities
End-to-end feature development, from conception to production.
Participate in system design and architecture planning, for optimal software performance.
Take on independent responsibilities, while contributing to the team's collective goals.
Actively learn, adapt and stay up-to-date with the evolving tech landscape, including best practices.

We're looking for a hands-on Senior Backend Engineer to join the App Studio & Intelligence team within our 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 us 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.

We are looking for a senior back-end developer, who is an original thinker, passionate, hard-worker and great executioner, to join our fast growing B2C company. Our back-end developers implement API and smart algorithms which are used by our applications.
Responsibilities:
Ensure the performance, quality and the efficiency of the server code.
Identify and correct bottlenecks and fix bugs.
Work closely with client developers to create well-implemented products.
Work in a dynamic environment requiring quick decision making within tight schedules.

We're looking for a hands-on Senior backend Engineer to join the App Studio & Intelligence team within Earnix'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 Earnix 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:
Earnix is the first AI company purpose-built for insurance decisioning, providing the industry with the intelligence, governance, and decisioning agility to drive profitable growth, improve resilience, and operate with speed and precision in a rapidly changing risk environment. A trusted provider of production-grade AI and decisioning technology, Earnix builds on more than 25 years of experience in artificial intelligence risk, pricing, rating, analytics, and decisioning. Earnix brings vertical AI into the workflows and decisions that shape insurance performance across insurers pricing, underwriting, claims, customer engagement, retention, and other insurers high-value insurance moments. Earnixs AIOS enables insurers to orchestrate intelligence across the insurance decision lifecycle and drive governed, Real-Time decisions that deliver measurable business outcomes. Earnix is headquartered in Boston, MA and 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.