לוח משרות דרושים מתכנת backend בתל אביב יפו

We are looking for a Python Expert to join our growing team!
Requirements
Work in a team of top-of-the-line software engineers, developing state-of-the-art management systems for managing mission-critical enterprise-level data platforms.
Our management systems include:
A highly scalable platform featuring complex high-availability mechanisms, and advanced APIs, interoperable with a diverse software ecosystem.
A cutting-edge AI-based cloud-operated SaaS.
Location: Tel Aviv.

we are one of the worlds fastest-growing mobile app companies. We transform great ideas into elegant software. Our apps have been downloaded over 350 Million times.
We are seeking a seasoned Backend Developer with a solid background in high-load environments and experience in managing multiple Linux servers. The ideal candidate is someone who thrives in a fast-paced, innovative, and technology-driven culture.
Responsibilities:
Own architecture for high-scale, user-facing backends and data pipelines.
Lead and mentor engineers; guide design reviews, roadmaps, and execution.
Operate production systems with clear SLOs/SLAs, on-call quality, and blameless postmortems.
Evolve our K8s/GPU platform, CI/CD, and observability to increase deployment velocity and resilience.
Integrate and serve ML models (PyTorch, CUDA/TensorRT, Triton) with a focus on throughput and cost.
Partner cross-functionally (ML, Product, Security, Finance) on priorities and cost/perf trade-offs.
Hire, level up the team, and uplevel engineering standards.

We are seeking a seasoned Backend Developer with a solid background in high-load environments and experience in managing multiple Linux servers. The ideal candidate is someone who thrives in a fast-paced, innovative, and technology-driven culture.
Responsibilities:
Own architecture for high-scale, user-facing backends and data pipelines.
Lead and mentor engineers; guide design reviews, roadmaps, and execution.
Operate production systems with clear SLOs/SLAs, on-call quality, and blameless postmortems.
Evolve our K8s/GPU platform, CI/CD, and observability to increase deployment velocity and resilience.
Integrate and serve ML models (PyTorch, CUDA/TensorRT, Triton) with a focus on throughput and cost.
Partner cross-functionally (ML, Product, Security, Finance) on priorities and cost/perf trade-offs.
Hire, level up the team, and uplevel engineering standards.

Our engineering team is made of strong, all-around players. We work across the full lifecycle of our solutions from researching capabilities in GCP, Azure, and AWS to building and testing systems in Go and deploying them in client environments. We develop solutions for API-capable platforms, integrate with third-party services, and extend them with our own add-ons. Quality is key we test thoroughly to ensure stability and reliability in real-world deployments.

We are looking for an experienced Backend Engineer to join our R&D team to build out our products and services to support new initiatives.

Our stack is based on TypeScript, Node.js, React, React Native, Kubernetes, AWS.

You Will:

Design and build reliable distributed systems, with a focus on performance, security, data integrity and compliance.

Implement core business logic and workflows that power financial transactions.

Take ownership of the development lifecycle, from design to deployment and monitoring.

Collaborate closely with product, security, and infrastructure teams to deliver high-quality solutions.

Play a key role in evolving our engineering standards and development processes.

Required Experienced Software Engineer (Backend oriented)
Realize your potential by joining the leading performance-driven advertising company!
As an Experienced Full-Stack Engineer (Backend Oriented) in the Demand department in our Tel Aviv Office, youll play a vital role in our management platform, focusing on the onboarding experience to make a meaningful impact on the companys performance, while enabling advertisers to create and manage their ads with a strong emphasis on optimal user experience and performance.
How youll make an impact:
Develop one of the largest real time big data operation in the world to support over 40TB of new data every day
Have end to end ownership: Design, build, ship, measure and maintain our frontend and backend services
Collaborate with the brightest software engineers team members
Influence directly on the way billions of people discover the internet
Develop at unimaginable scale, serving hundreds of requests per second
Work on innovative projects that are the next growth engines for us.

We're hiring backend engineers (4+ years experience) with strong system design skills and real hands-on experience in cloud-native environments (AWS/GCP, Docker, Kubernetes).
Proficiency in Kotlin, Java, or Go is required. You should be comfortable working with REST/gRPC, Kafka, and both SQL & NoSQL databases. Bonus if youve worked in startups or built SaaS products using microservices architecture. We value clean code, fast execution, and full end-to-end ownership.
Responsibilities:
Participate in the architecture, design, and implementation of innovative cloud-based services and development infrastructure.
Address multi-tenancy aspects, high availability, agility, security, and more.
Participate in Product Decisions and help design Aponos core product. The challenge is to build an efficient, robust, and bulletproof solution since our infrastructure powers our customers' mission-critical services.

We're looking for a strong Backend Developer with practical experience and a proactive, AI-first mindset to help us build the next generation of gaming features. You'll join an engineering group responsible for building complex, real-time, and high-scale systems.

Responsibilities:
Drive feature development from design to production, using AI tools to accelerate delivery and enhance innovation.
Take ownership of core components and contribute to architectural decisions in large-scale, distributed environments.
Collaborate closely with product, client developers, and QA teams to turn ideas into high-quality solutions.

Were looking for an exceptional Team Lead to build and lead a new team responsible for developing one of core infrastructure capabilities.
This team will work closely with Product, Architecture, and DevOps to design and build scalable, secure, and highly available services powering our access platform.
As the Team Lead, youll combine hands-on technical work with strong leadership, mentorship, and cross-functional collaboration.
Youll shape the technical direction of your domain, drive high-impact decisions, and grow the team around you.
Responsibilities:
Lead a team of backend and full-stack engineers in designing, implementing, and maintaining core features.
Work closely with Product Managers to define technical requirements and translate them into execution plans.
Be hands-on, design, review, and contribute to code in a cloud-native environment (Kubernetes, microservices, Docker).
Design and manage integrations with compute resources (SSH, RDP), databases (SQL and NoSQL), and identity systems (AD, LDAP, SSO).
Build and maintain scalable systems for networking, permissions, and protocol-level communication.
Foster a culture of ownership, curiosity, and technical excellence.
Take an active role in recruiting, mentoring, and developing team members.
Drive technical discussions, challenge assumptions, and lead by asking the hard questions and seeking smart, pragmatic solutions.

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.

Were hiring a Machine Learning Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.
This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.
What You Will Do:
Lead & Mentor: Manage, mentor, and grow a team of ML engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.

Required Software Engineer - Cloud - Application Analysis (Hybrid, ISR)
About the Role:
As a Senior Cloud Engineer in our Application Analysis group, you'll build the cloud infrastructure that powers our automatic reverse engineering engine - a system designed to analyze and comprehend software code through advanced code analysis techniques including static analysis, dynamic analysis, and data flow analysis.
What You'll Do:
You'll develop and integrate this engine into the Falcon platform, creating high-performance cloud services and data pipelines that process billions of requests daily from customers worldwide. Your work will involve leading complex projects from conception through deployment, making critical technical and architectural decisions, and developing modern production architecture at massive scale.
Working at our Israeli R&D center, you'll collaborate closely with experienced cybersecurity developers and our algorithm development team to integrate code analysis capabilities into the platform. You'll own your code end-to-end - from planning to development and testing to production rollout and scale-up - while working across a diverse technology stack to solve complex distributed systems challenges.
Tech Stack: Go, Kubernetes, Kafka, S3, Postgres, Redis, etc.
This is a Hybrid position open to candidates in the Israel area.

We are seeking a passionate and highly skilled Senior Golang Developer to join our dynamic Software Engineering team. The ideal candidate is an expert Go engineer with a strong background in building scalable, high-performance distributed backend systems on the cloud. You should be enthusiastic about working with cutting-edge technologies in an Agile environment and capable of owning complex components end-to-end, taking an idea through design, testing, and production monitoring.
What will you do:
Responsible for the full lifecycle of our distributed services, focusing on performance, reliability, and innovation: Design & Development
* Architect, design, and implement robust backend services and distributed system components using Go, ensuring high scalability, reliability, and performance.
* Develop microservices and server side infrastructure with clean, maintainable, and testable code.
*  system Ownership: Take full ownership of complex components, moving them from initial concept design through development, testing, CI/CD, and production deployment and monitoring. system Optimization & data
* Optimize service performance, parallel processing, concurrency handling, and resource utilization in high-scale environments.
* Work with a variety of data stores and event-streaming technologies.
* Integrate services with technologies like OpenSearch, Redis, and column store databases as part of the system architecture.
* Implement secure development practices and production ready standards. Collaboration & DevOps
* Work closely with data Engineering, DevOps, and Product teams to deliver high quality, production grade services.
* Develop and deploy applications in Kubernetes environments, leveraging strong DevOps best practices and CI/CD pipelines for smooth, reliable releases.
* Participate actively in code reviews, design discussions, and cross team technical initiatives. Innovation
* Explore new technologies, evaluate tools, and propose improvements to the existing stack and development processes, championing a culture of continuous improvement and technical excellence.

We are looking for a Backend Developer.

Required Backend Data Engineer
As part of the role you will have the opportunity to:
Build end-to-end development of data infrastructure features, scalable data processing, database interaction and integration with CI/CD.
Take part in expanding our core data platform solutions, build new pipelines from scratch that ingest and process data at scale.
Work across a rich stack of technologies from Apache Kafka, Apache Storm, NoSQL, and relational databases.
Analyze and optimize performance, scalability, and stability of our product environments.
Work closely with the data-science team to implement production grade pipelines based on AI research.