לוח משרות דרושים Senior Python Developer בתל אביב יפו

we are looking for a Principal Engineer.
As a Principal Engineer, youll act as a hands-on technical leader, working across backend, frontend, infrastructure, and tooling. Youll help modernize our platform, lead technical initiatives, and participate in the adoption of our AI tools and developer acceleration technologies.
● As a Principal Engineer, youll act as a hands-on technical leader, working across backend, frontend, infrastructure, and tooling. Youll help modernize our platform, lead technical initiatives, and participate in the adoption of our AI tools and developer acceleration technologies.
● Architectural leadership: Be part of shaping the future of our Python-Angular stack, tackling legacy challenges, improving performance, and guiding modern design patterns.
● AI enablement: Evaluate, adopt, and integrate AI tools (e.g., code assistants, testing automation, smart documentation, productivity tooling) to improve development workflows and team velocity.
● Cross-team collaboration: Work with tech leads, engineers, and product leaders across our Israeli and offshore teams to guide technical direction and elevate practices.
● Engineering multiplier: Lead code/design reviews, establish standards, and mentor others on clean, scalable, and testable code.
● Strategic execution: Own and deliver critical infrastructure or platform-level projects from design through implementation.
● Cultural leadership: Foster a culture of learning, ownership, and high-quality engineering across the org.
Mentorship: Act as a senior mentor to engineers across teams, guiding technical growth, sharing knowledge, and foste, and fostering engineering excellence.

Were building the next generation of autonomous cybersecurity technology - systems that think like attackers to continuously uncover security gaps in enterprise environments.
As a Senior Engineer in our Attack Simulation Platform team, youll design and build the engines, data models, and intelligent agents that simulate advanced adversaries across large-scale networks. Youll combine strong software-engineering skills with deep security intuition to create systems that mirror human attacker behaviour and discover real weaknesses before attackers do.
:Responsibilities
Design and build AI-driven agents that emulate adversarial behaviours such as lateral movement, privilege escalation, and persistence.
Develop core simulation and orchestration components in Go (primary language) and integrate with in-house AI models.
Model and simulate attack paths across complex enterprise environments (identity, endpoint, network, and cloud).
Collaborate with red-teamers, researchers, and data scientists to translate threat intelligence and real attack TTPs into executable logic.
Contribute to architecture decisions, scalability, and performance optimization for distributed simulations.

We're building Cyber Threat Intelligence platform - an AI-first product that harvests, contextualizes, and serves threat intelligence at scale. We're looking for a Python-native backend engineer to own the infrastructure that makes this possible.
You'll design and build the systems that power both agentic AI workloads and large-scale data orchestration - exposing CTI insights as a service to UI components, APIs, and autonomous agents across the ecosystem. This is a greenfield opportunity where you'll shape foundational architecture decisions on a new product with a small, high-impact team.
:Responsibilities
Shape and build our data lake architecture, orchestration layer, and data access patterns.
Build the tooling and infrastructure that enables AI agents to consume and reason over threat data.
Develop systems that harvest data from open and dark web sources, cross-reference signals, and contextualize raw intelligence into actionable insights.
Serve curated CTI data to various consumers - dashboards, internal services, and other agents in the platform.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Create developer tooling and experiences that make the platform usable for other engineers building on top of it.

We are looking for talented senior developer, with a vast Python knowledge, some reversing skills (arm advantage), high motivation and learning desire, to join the industrys leading digital intelligence Security Research Labs group. As a senior exploit engineer in our team.
Key responsibilities:
Bring to life new products and improve our existing solutions.
Work daily with our researchers to try and find new products.
Become a member of Labs Group, focusing on Exploit Engineering for IOS devices.
Be a key part in the quality of top of the line iOS research.
Collaborate with a team of passionate developers dedicated to solving modern digital intelligence challenges, years ahead of others in the industry.
Take part in world-class research results, assisting law enforcement by enabling lawful evidence extraction, and putting criminals behind bars every day.

we are looking for a Staff Engineer (backend oriented - python).
As a Staff Engineer, you will own and expand a critical backend data processing platform that sits between data ingestion and the customer-facing application. This platform powers features such as data enrichment, grouping/similarity, and internal analytics. You will lead Python services that transform raw financial data into product-ready signals used by customers every day.
Platform Evolution: Increase enrichment accuracy and coverage by evolving data processing logic and adding new capabilities.
Performance Engineering: Reduce processing latency and improve throughput by designing efficient message-driven pipelines.
API & Schema Design: Maintain clear, stable service interfaces (HTTP/gRPC) and schemas with strong backward compatibility.
Data Modeling & Querying: Model data and write efficient Postgres queries; strategically use vectors/embeddings where they add value.
Tooling: Build internal analytics/debugging tools to accelerate triage and insight for engineering and operations teams.
Quality & Standards: Raise the quality bar through component/integration/snapshot tests, thorough code reviews, documentation, and release hygiene.
Observability: Instrument services fully by shipping meaningful metrics and logs, and using dashboards to troubleshoot and proactively improve reliability

We are looking for Senior Python Developer
Roles and responsibilities:
Design and develop robust backend solutions using Python and modern frameworks like Flask or FastAPI.
Build and extend API endpoints, ensuring scalability and security.
Develop greenfield solutions, from architecture and design to deployment.
Collaborate with cross-functional teams to define project requirements and deliver high-quality solutions.
Write clean, maintainable, and well-documented code.
Implement automated tests and support CI/CD pipelines to ensure continuous quality.

we are a global leader in control systems for quantum computing, a field on the verge of exponential growth, bringing about opportunities like those made possible with the invention of classical computing 50 years ago. At our company, we provide the worlds most leading researchers and organizations with the critical tools they need to develop useful quantum computers. our companys hardware and software represent a new paradigm for controlling quantum computers, from a single qubit to hundreds and thousands. We are assembling the strongest team of professionals in the world with the goal of revolutionizing how quantum computers are built and controlled and accelerating their arrival. we are backed by globally recognized venture capital sponsors, including TLV Partners, Battery Ventures, Red Dot Capital Partners, Avigdor Willenz investment group, Harel Insurance, and others.
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 company 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.

Reqired Staff Software Engineer - Distributed Systems Quality Platform
About the role:
Were building the next-generation testing platform that will redefine how complex distributed systems are validated at scale. Our mission is to create an automated, intelligent testing environment that continuously validates the correctness, performance, and resilience of the Data Platform across every layer of the stack. This is an opportunity to reinvent how next-gen infrastructure is tested, leveraging both proven engineering techniques and the latest AI-driven approaches. Youll work on solving some of the hardest challenges in large-scale systems engineering: How do you validate correctness in deeply parallel I/O systems? How do you uncover reliability gaps that appear only under extreme concurrency? How can AI tools help us automatically generate test scenarios, analyze failures, and predict weak spots before they occur?
As a Staff Software Engineer, youll be at the center of these questions. Youll set the technical direction, design testing frameworks that scale with our product, and partner across engineering to raise the bar for quality.
What Youll Do:
Design and implement a next-generation testing and quality framework for distributed systems, enabling automated validation of functionality, performance, and resilience.
Leverage AI-driven tools to scale the testing environment, including automated test generation, intelligent workload synthesis, and anomaly detection.
Create end-to-end testing environments that simulate real-world scale, stress, and failure conditions.
Define and drive the technical strategy for testing across, setting the standard for quality engineering.
Mentor and influence engineers across teams, fostering a culture of technical rigor and reliability obsession.
Collaborate with product and infrastructure teams to ensure the testing platform is deeply integrated into our development lifecycle.

We are looking for a Senior Data Platform Engineer to design, build, and scale next-generation data platform, the backbone powering our AI-driven insights.
This role sits at the intersection of data engineering, infrastructure, and MLOps, owning the architecture and reliability of our data ecosystem end-to-end.
Youll work closely with data scientists,r&d teams, analysts to create a robust platform that supports varying use cases, complex ingestion, and AI-powered analytics.
Responsibilities:
Architect and evolve a scalable, cloud-native data platform that supports batch, streaming, analytics, and AI/LLM workloads across R&D.
Help define and implement standards for how data is modeled, stored, governed, and accessed
Design and build data lakes and data warehouses
Develop and maintain complex, reliable, and observable data pipelines
Implement data quality, validation, and monitoring frameworks
Collaborate with ML and data science teams to connect AI/LLM workloads to production data pipelines, enabling RAG, embeddings, and feature engineering flows.
Manage and optimize relational and non-relational datastores (Postgres, Elasticsearch, vector DBs, graph DBs).
Build internal tools and self-service capabilities that enable teams to easily ingest, transform, and consume data.
Contribute to data observability, governance, documentation, and platform visibility
Drive strong engineering practices
Evaluate and integrate emerging technologies that enhance scalability, reliability, and AI integration in the platform.

As a Senior Python Developer, you will research, design, and implement cloud security products using the most up-to-date and cutting-edge technologies and frameworks, across all cloud providers (AWS, GCP, Azure, etc). You will build and be responsible for high-performance, massively scalable, always-available cloud-based systems.
Your Impact
Supercharge data security protection by developing solutions helping clients understand what kind of data they have, and across modern cloud infrastructure (e.g., Azure, AWS, GCP).
Make significant contributions to feature development by engaging in design, implementation, testing, and deployment processes
Ship innovation for microservices and scanner solutions dealing with high scale data and operations
Generate ideas and actively participate in brainstorming sessions to foster innovation within the product.

Were looking for a hands-on Software Engineering Lead to take full ownership of Valences SaaS integrations domain the layer that connects our platform to dozens of external applications.

Youll lead the evolution of hundreds of existing connectors, handling production issues, expanding capabilities, and driving product-driven development processes. This is a high-impact, dynamic role for someone who thrives in fast-changing environments, enjoys solving complex problems, and knows how to make things happen.

Key Responsibilities

Own and evolve Valences integration layer, maintaining and improving hundreds of existing connectors across leading SaaS platforms.
Handle production incidents, expand connector capabilities, and collaborate closely with Product on roadmap and prioritization.
Design and implement new connectors based on business, product, and customer requirements.
Lead development of automation-based or scraping connectors, extracting and normalizing data into Valences core product.
Proactively use AI tools to accelerate development, troubleshoot issues, automate manual workflows, and improve overall team efficiency.
Take a problem-solving and ownership mindset identify opportunities to improve performance, automate processes, and scale the system efficiently.
Mentor and guide a small team of engineers while remaining hands-on owning the connectors domain.