לוח משרות דרושים Senior Python Developer בתל אביב יפו, לחיפוש זה נמצאו 17 משרות

The AI Teams is shaping the future of how AI is built, integrated, and experienced across our platform. We develop the foundations, tools, and capabilities that enable intelligent experiences for customers, partners, and internal teams alike. From powering AI-driven product experiences to building the infrastructure and platforms that make them possible, we operate at the intersection of innovation, scale, and engineering excellence.
We work in a true continuous delivery environment, with fully automated QA processes and a modern microservices architecture, deploying to production multiple times a day.
Job responsibilities
Design, build, and maintain backend infrastructure and microservices supporting AI-driven features.
Collaborate closely with the infra and data groups to ensure smooth integration of AI models and services into Bobs core systems.
Develop and optimize APIs, data pipelines, and background processing workflows.
Ensure performance, scalability, and resilience of production systems handling real-time AI interactions.
Drive engineering excellence through code reviews, architecture discussions, and automation.
Mentor other backend developers and promote best practices in software design, testing, and deployment.

we are seeking a Senior Python Software Engineer to join our high-impact Risk Team. The Risk Team sits at the heart of our decisioning engines, powering every product through a state-of-the-art fusion of predictive machine learning models and real-time market strategies.
In this role, you will lead backend development for new financial products, working closely with ML Engineers to build robust, fault-tolerant infrastructure that supports complex predictive models. You will design and scale high-volume, low-latency systems that execute critical financial decisions in milliseconds. We are looking for an engineer who understands end-to-end software architecture and possesses the business acumen to transform strategic goals into engineering reality.
Key Responsibilities
Architect & Build: Design and implement resilient, low-latency backend solutions capable of handling high-throughput, high-availability demands.
Solve Complex Systems Challenges: Tackle intricate architectural problems by applying deep expertise in distributed systems and performance optimization.
Cross-Functional Collaboration: Partner closely with ML engineers, product managers, and data scientists to operationalize decisioning logic smoothly.
Maintain & Scale Infrastructure: Safeguard system health, ensure continuous operational stability, and optimize runtime performance.
Drive Technical Excellence: Advocate for clean code, solid design patterns, robust testing, and maintainable software architecture.
Mentor & Empower: Elevate the engineering team by mentoring junior developers, leading technical discussions, and fostering a culture of continuous learning.

We are looking for an experienced hands-on Python Engineer who can work independently with remote teams (SW, HW, logic,) and create products that will shape the future of Quantum Computers.
The Quantum Computing SDK is the interface through which our customers run our control system. Customers use it to configure their cutting-edge system and run their ground-breaking experiments. Various institutions from world-class universities to hyper-scalers use the SDK to calibrate their delicate QBits, perform Write and Read Quantum Computing Operations and run programs in higher level Quantum Computing languages like OpenQASM3.
Responsibilities:
Develop the software for the company's Quantum Computing SDK.
Take part in all the technical aspects of the SW development from design to delivery.
Work with high standards of SW methodology, clean-code and CI.

we are looking for a Software Engineer - Verification and Reliability.
In this role as a SDET (Software Development Engineer in Test), you are a developer first. You will join a high-impact team of engineers who write production-grade code to build a massive-scale validation ecosystem. Your job is to act as "The Breaker"-designing the infrastructure, chaos experiments, and AI-driven tools that push our platform to its theoretical limits.
What Youll Build:
Adversarial Engineering: Design and implement Python-based distributed frameworks capable of orchestrating millions of concurrent IO operations to hunt down race conditions and memory leaks.
AI-Augmented Validation: Be at the forefront of the AI-Native transformation. You will leverage LLMs and Generative AI to automate complex scenario generation, build intelligent agents for root-cause analysis, and multiply your engineering velocity.
Simulation & Chaos: Build the "Entropy Engine." You will develop tools that inject real-world failures - latency, packet loss, and hardware crashes - to prove the resilience of our Raft and RDMA implementations.
Deep-System Observability: Move beyond "Pass/Fail." You will build telemetry pipelines to track P99 latency and jitter, providing critical architectural feedback to the Core Kernel teams.
Collaborative Architecture: You will operate with the same rigorous standards as the Core R&D team: design docs, production-grade code reviews, and high-level architectural planning.

Required Senior Software Engineer
About the role
As a Senior Software Engineer on the KSPM team, you will join a mission-critical group building and scaling one of the companys core and fastest-growing security products. Our team enables customers to secure their Kubernetes environments across every major cloud provider, delivering deep visibility into cluster misconfigs, RBAC risk, admission control, compliance drift and container vulnerabilities.
In this role you will design the backend services and data models that discover, onboard, scan, and represent K8s workloads, APIs, and configurations at scale. You will own core services end-to-end, drive architectural improvements and partner with security researchers to turn complex threat vectors into actionable insights.
We are looking for backend engineers who care deeply about software design, cloud-native infrastructure, and container security. This is a high-impact role with real ownership - lead features end-to-end, mentor teammates, and help shape the technical direction of our KSPM offering.
Our Stack: Python, Go, K8s APIs, K8s ecosystem tooling (OPA/Gatekeeper, admission controllers), Docker & container runtimes, SingleStore, Postgres, Redis, Kafka, SQS, ElasticSearch, AWS, GCP, Azure.
On a typical day youll:
Design & build at scale: Design, implement, and maintain scalable backend services that discover, onboard, scan, and analyze Kubernetes environments across multi-cloud and managed clusters.
Model K8s security: Map and represent Kubernetes resources as clean data models that surface misconfigurations, exposure risks, and compliance violations.
Integrate detection engines: Integrate and evolve detection engines for container vulnerabilities, secrets, RBAC risks, misconfigurations, and compliance frameworks.
Collaborate on research & product: Partner with security researchers and product managers to translate novel findings and complex requirements into impactful features.
Design for quality: Write clean, well-tested code in Python or Go, with thoughtful abstractions and APIs that keep the system correct and maintainable as it grows.
Lead & mentor: Lead design discussions and code reviews that uphold high engineering and security standards across the team.
Own it end-to-end: Own features through their full lifecycle - from technical specification and design through implementation, testing, and release.

We are looking for a Senior Data Platform Engineer to join our growing Platform team and help build the foundation that powers our products, analytics, and data-driven decision making.

In this role, you will design, build, and operate the core data infrastructure that enables engineering teams to move fast while maintaining reliability, scalability, and operational excellence. You will work across databases, streaming systems, data lakes, cloud infrastructure, and platform services, solving complex challenges around scale, performance, and resilience.

As a senior engineer, you will play a key role in shaping our data architecture, driving technical decisions, and mentoring other engineers.

Responsibilities
Design, build, and operate scalable data platform services and infrastructure.
Develop high-quality software for distributed systems and data-intensive applications.
Design and optimize data storage solutions across operational databases, data lakes, and analytical systems.
Drive database performance improvements through query optimization, indexing strategies, schema design, and capacity planning.
Build and maintain event-driven architectures and streaming data pipelines.
Develop and improve data ingestion, transformation, orchestration, and processing frameworks.
Partner with product, engineering, analytics, and AI teams to deliver scalable and reliable data solutions.
Improve platform reliability, observability, and operational excellence through automation and engineering best practices.
Build and enhance CI/CD pipelines, deployment processes, and developer tooling.
Lead architecture discussions and contribute to long-term platform strategy.
Troubleshoot complex production issues and drive root-cause analysis and preventative improvements.
Mentor engineers through code reviews, technical guidance, and knowledge sharing.

We are looking for a powerhouse Senior Software Engineer to join our founding R&D.
You arent just a developer; you are a core architect of our vision.
You will be responsible for building the infrastructure that secures the next generation of AI agents and SaaS ecosystems.

This is a high-impact role where you will own features from the initial napkin sketch through to production. Youll be working with a massive data scale, complex security integrations, and a cutting-edge stack.

What Youll Do
End-to-End Ownership: Design, develop, and deploy mission-critical features across our entire stack (from React frontends to Spark data pipelines and K8s-orchestrated microservices).
Scale for AI Security: Build and optimize high-performance data systems capable of processing vast amounts of security telemetry using Clickhouse, Iceberg, and Spark.
Architect for Growth: Help define our system architecture as we scale from a small team to a large R&D organization.
Collaborate & Mentor: Work closely with the product team, to translate business needs into technical reality, while mentoring future hires as the team grows.

We are looking for an experienced MCP (Model Context Protocol) Software Engineer to design, develop, and optimize Model Context Protocol implementations. You'll work on building robust MCP servers, client integrations, and tools that allow AI systems to securely access and interact with various data sources and services.

What You'll Do:
MCP Development & Implementation

Design and develop MCP servers for various data sources (databases, APIs, file systems, cloud services)
Build and maintain MCP client integrations for AI applications and platforms
Implement secure authentication and authorization mechanisms for MCP connections
Develop custom MCP tools and resources to extend AI capabilities
Architecture & Design

Architect scalable MCP solutions that handle high-volume data access patterns
Design efficient protocol implementations that minimize latency and maximize throughput
Create reusable MCP components and libraries for internal and external use
Establish best practices for MCP server development and deployment
Integration & Collaboration

Integrate to our identity platform
Work with DevOps teams to deploy and monitor MCP services in production environments
Partner with security teams to ensure MCP implementations meet compliance and security requirements
Integrate MCP solutions with existing infrastructure and third-party services
Quality & Performance

Write comprehensive tests for MCP implementations including unit, integration, and end-to-end tests
Monitor and optimize MCP server performance and resource utilization
Debug complex issues in distributed MCP environments
Maintain detailed documentation for MCP servers and integration patterns
Contribute to Open Source

Engage with the open-source community, contributing to the development and improvement of MCP

We are looking for a Senior Developer to join our R&D team. Youll play a key role in designing and building the backend systems that power our medical applications, ensuring they are secure, scalable, and reliable.
Youll work closely with product managers, researchers, and other engineers to bring complex ideas to life and help shape the architecture behind real-world healthcare solutions.
Role & Responsibilities:
Design, build, and maintain backend services and APIs that power our core products.
Architect and implement scalable, secure, and high-performing solutions.
Work with relational databases to support product and business needs.
Collaborate with front-end, mobile, and research teams to deliver end-to-end features.
Write clean, well-documented, and thoroughly tested code.
Collaborate closely with the product and infrastructure teams to ensure smooth delivery.

Required Senior Backend Engineer (Python)
As a Senior Backend Engineer, you'll dive into complex technical challenges, craft innovative solutions, and play a pivotal role in our mission to revolutionize how companies understand their customer interactions. We're seeking a strong Python developer who can leverage deep technical knowledge to drive our backend development to new heights.
Youll Own:
System Architecture: Leading the design and implementation of complex, scalable, and high-performance backend services and APIs.
Feature Lifecycle: Taking end-to-end ownership of major product initiatives, from initial design to coordinating delivery across Backend, Frontend, and Product teams.
Engineering Standards: Establishing and driving team-level best practices for code quality, testing strategies, and CI/CD processes.
Youll Solve:
Technical Complexity: Analyzing and debugging intricate challenges across the stack to ensure long-term system reliability.
Cross-Functional Friction: Managing risks and coordinating dependencies between multiple teams to ensure seamless feature delivery.
Scalability Bottlenecks: Implementing preventive measures and high-performance solutions to keep services running smoothly under load.
Youll Impact:
Data Architecture: Architecting systems that handle massive amounts of external data, ensuring high availability and accuracy across diverse APIs and sources.
Our Evolution: Building the foundation of a new core product that directly influences how sales and marketing teams identify and reach their next customers.
Strategic Delivery: Shaping how major initiatives are executed, ensuring technical excellence is balanced with business milestones.

Required Senior Backend Engineer - AI Framework (Python)
As a Senior Backend Engineer on our AI Framework team, you will build the foundational platform that enables the entire organization to design, evaluate, deploy, and operate AI agents at scale. This is a new, high-impact team responsible for creating the frameworks, tools, and guardrails that power our agentic ecosystem.
Youll work deeply in the agentic space, designing systems for orchestration, evaluation, observability, and safety. The platforms you build will be used by multiple teams across, making your impact immediate and company-wide.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Agent Runtime and Execution Engine: Building the runtime responsible for orchestrating agent execution, managing tool calls, maintaining state and memory, and ensuring reliable execution across distributed systems.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.