לוח משרות דרושים מתכנת Python משרה מלאה

looking for a Data Engineer to help build and scale our analytics data infrastructure. In this role, you will work closely with analysts and business stakeholders to design reliable data models and support the development of a centralized semantic layer used across the company.

You will play a key role in improving the structure, reliability, and usability of our data stack. This includes building and maintaining dbt models, supporting data pipelines, and ensuring analysts have access to clean, well-documented, and consistent data.

This role is ideal for someone who enjoys working at the intersection of data engineering and analytics - translating business needs into scalable data models and enabling teams to move faster with trusted data.

Responsibilities

Design and implement data models that support analytics across key business domains such as GTM, CX, and Finance
Build and maintain transformation workflows using dbt
Work closely with analysts to translate business questions into scalable and reusable data models
Help define and implement a structured semantic layer that enables consistent metrics across the company
Improve the reliability and clarity of the analytics data stack by centralizing logic into well-designed data models
Support the ingestion and transformation of data from various sources using tools such as Fivetran and Airbyte
Contribute to improving data quality, monitoring, and documentation practices
Help establish best practices for analytics modeling and data usage across teams
Actively leverage AI tools (e.g. Cursor, LLM-based assistants) to improve development speed, data modeling, and data workflows

looking for an R&D Operations Manager to be the operational backbone of our Product and Engineering organization. You'll own how we plan, build, and ship designing processes, leading strategic projects, driving automations and AI-powered workflows, and ensuring every team is aligned and moving fast. You'll be the connective glue across Product, Engineering, Design, CS, and GTM - the person who creates order from chaos and measurably increases our velocity.

Responsibilities

Lead Strategic Projects & Planning Own quarterly planning cycles, roadmap governance, and the most critical cross-functional initiatives end-to-end. Ensure 100% traceability between business goals and what we build. You don't just facilitate - you drive outcomes.
Increase Product & Dev Velocity Design and enforce processes that make squads ship faster. Identify bottlenecks, streamline workflows, and measure the impact. If it slows us down, you fix it.
Jira Governance & Dev KPIs Full ownership of Jira - boards, workflows, automations, hygiene, and reporting across all squads. Build and maintain dashboards for velocity, cycle time, throughput, and release predictability. You're self-sufficient - no engineering help needed.
Automations & AI-Powered Workflows Automate manual toil across the product org. Operationalize AI tool adoption. Eliminate repetitive work so PMs and engineers focus on high-value output, not process overhead.
Cross-Functional Alignment & Enablement Be the connective tissue between Product, Engineering, Design, Data, CS, GTM (including PMM, Professional Services, and Pricing), and Finance. Own release coordination and CS enablement - zero surprise launches, ever.
Tooling, Analytics & Knowledge Management Own the product tool stack (Jira, PostHog, Notion, AI tools) and the budget for product tools and operations - drive ROI through smart vendor selection and consolidation. Ensure PMs have self-serve access to data. Maintain a centralized knowledge base as the single source of truth.

we are looking for a Senior Backend Engineer GO.
As a Senior Software Engineer, youll design, develop, and deploy robust software systems across our platform. Youll have ownership of end-to-end projects, the autonomy to lead from idea to implementation, and the opportunity to work across product lines - from scalable APIs and secure infrastructure to machine learning.
The role also brings unique engineering challenges shaped by regulatory and compliance requirements - pushing your creativity and technical capabilities.
What Youll Actually Be Doing:
Design, build, test, and deploy backend systems for high-scale financial applications
Lead architecture reviews and drive decisions across technologies and platforms
Write well-tested code and review peers work for quality and clarity
Collaborate with Product, DevOps, and Security teams to deliver seamless experiences
Own and improve development lifecycles including CI/CD, observability, and cloud automation
Debug production issues and lead efforts to ensure system reliability and uptime
Contribute to internal documentation and onboarding processes
Participate in a Tier 2/3 on-call rotation to support business-critical systems

we are looking for a Mid-Level, Security Engineer.
This role focuses on ensuring the security and compliance of cloud infrastructure by implementing and maintaining robust security controls across AWS environments. The position involves automation for security monitoring, adhering to best practices, and collaborating cross-functionally with other teams.
What Youll Actually Be Doing:
Cloud Security Implementation: Contribute to the design and implementation of security measures across AWS environments to ensure systems are secure, compliant, and aligned with industry best practices. Including implementation, automation and development of security policies
Conduct regular security assessments, control testing, and audits to proactively identify risks and vulnerabilities (and support remediation efforts with partner teams)
Collaboration with Internal Teams: Work closely with internal teams to integrate security best practices into development and operational workflows
Security Automation & Infrastructure Management: Design and implement automation strategies for security monitoring, auditing, and incident response
Cost Efficiency through Security: Contribute to cloud cost management by optimizing cloud resources without compromising on security.
Incident Response & Threat Management: Participate in incident response efforts to support timely identification, analysis, containment, and remediation of security threats. Contribute to post-incident reviews, help maintain incident response playbooks, and support internal teams by sharing learnings and updated procedures.

Were seeking a Senior Application Security Engineer who is first and foremost a teacher, advisor, and enabler for our development teams.
Rather than owning security alone, youll embed secure-by-design thinking across engineering by mentoring developers, guiding architecture decisions, and making secure development intuitive and frictionless.
Youll serve as the go-to partner for developers and engineering leaders, offering clear direction, practical solutions, and hands-on mentorship that strengthens our secure SDLC.
What Youll Actually Be Doing:
Mentor, coach, and educate developers on secure coding through workshops, training sessions, pair reviews, and ongoing guidance
Lead and scale a Security Champions program embedded within engineering teams
Facilitate threat modeling sessions and design reviews, partnering with teams early in the process to improve security outcomes
Collaborate with engineering leadership to ensure secure architecture patterns, API security practices, and design principles are built in from day one
Integrate and tune developer-friendly AppSec guardrails into CI/CD pipelines (SAST, SCA, IaC, secret scanning) while minimizing noise for developers
Translate vulnerabilities into clear, actionable remediation guidance that developers can easily implement
Support security awareness across engineering by building engaging internal content, best-practice playbooks, and reusable patterns
Partner with compliance teams to produce documentation and SDLC evidence supporting FFIEC, PCI DSS, and SOC 2 requirements
Stay current on emerging threats, developer tooling, and secure engineering patterns - sharing insights regularly with the team

As a Senior Python Engineer, you will play a key role in the development of our cutting-edge solutions to detect, track and mitigate drones. Your primary responsibility will be to successfully implement real-time, multi-core, and multi-threaded software tasks and continuously develop new features and capabilities for an up-to-date response to new drone models and components, while collaborating with our algorithms and radio-frequency (RF) engineers. This includes coding over a Linux platform, primarily in user space, with a rich and fully automated Continuous Integration and Continuous Deployment (CI/CD) platform. In addition, you will implement Scrum and Agile methodologies in your tasks, while taking features from the early requirement stage through design, implementation, integration, and then handing it over to our validation team.

We are looking for a highly skilled Senior Developer - Python Automation Infrastructure and testing to join our R&D Integration Automation team. This role is focused on designing, developing, and maintaining advanced automation solutions across unit, integration, system, and end-to-end testing levels.
The ideal candidate is a hands-on developer with strong expertise in Python and Pytest, experienced in building and executing automated tests, and comfortable working with modern CI/CD pipelines and automation tools. The Senior Developer will act as a technical mentor and key contributor, ensuring best practices are followed and test automation is seamlessly embedded into the development lifecycle. Knowledge of RF systems is a strong plus.
Key Responsibilities:
Design, implement, and maintain automation frameworks and test scripts using Python and Pytest.
Write unit tests, integration tests, and regression suites to ensure comprehensive test coverage.
Develop and execute system-level and end-to-end automation, including API and UI layers (Selenium preferred).
Contribute to and optimize CI/CD pipelines (Jenkins, Docker, Git) for reliable and scalable test automation.
Collaborate closely with SW developers, RF, QA, and DevOps engineers to embed automated testing into every phase of the product lifecycle.
Perform code reviews, provide technical guidance, and ensure automation code meets high quality and maintainability standards.
Analyze test results, identify root causes of failures, and drive timely resolution in partnership with development teams.
Continuously evaluate and introduce new tools, libraries, and practices to improve automation efficiency.
Support integration activities and ensure smooth interaction between hardware, software, and automation systems.

As a Data Analyst, you'll be instrumental in constructing and managing the AI rules engine, alongside pinpointing network patterns to deliver value across various domains for our clients. This role requires proficiency in deriving insights from data and conducting thorough analyses. Additionally, it offers significant autonomy for innovation and creativity, qualities we encourage in all team members. Strong teamwork and interpersonal skills are also crucial for success in this position.

Together, we can shape the future of network security.


Responsibilities:
Take a significant part in data analysis, contributing to our ever-evolving automation engine.
Research various network behaviors and patterns.
Preform data research to classify network entities based on behaviors and patterns.
Write and implement creative scripts to achieve data science-oriented goals.
Characterize and define new product features.
Work closely with Data Engineering teams to ensure the optimal solution is built in terms of logic and infrastructure.

We are looking for a highly skilled and versatile Backend Engineer with deep expertise in network protocols and on-premises deployments to join our development team. As an On-Prem Backend Engineer, you will be responsible for designing, developing, and maintaining the on-prem infrastructure that runs in customer environments, ensuring robustness, security, and performance. You will collaborate closely with cross-functional teams to deliver mission-critical components that interact directly with complex network stacks.


Responsibilities:
Design, develop, and maintain backend services deployed on-premises within customer networks.
Implement and optimize network-centric functionality, including TCP/UDP, TLS, DNS, routing, proxies, and firewalls.
Work with Linux server internals (sockets, routing tables, iptables/netfilter, namespaces, eBPF) to support resilient and secure deployments.
Ensure smooth installation, upgrade, observability, and troubleshooting of on-prem components.
Troubleshoot and resolve issues in real-world customer environments, including debugging complex network problems.

We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies
Job Responsibilities (include, but not limited to the following)

Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures
Lead, manage and grow quantitative investment portfolio
Contribute to broader firm research and strategic initiatives

We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within as part of our business-facing technology organization.
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

operate openshift clusters and support production deployments (upgrades, scaling, probes, autoscaling, rollouts).
manage platform integrations: routes/ingress, networking/dns, Storage, scheduling.
build and optimize gitlab ci/cd pipelines (buildtestdeploypromote; caching, parallelism, reliability).
operate and tune gitlab runners for performance and peak scale.
own vault secrets management for ci/cd and runtime (access + rotation).
improve observability and incident response (dashboards, alerts, runbooks).
enable developers with deployment standards, docs, and troubleshooting support.

yield analysis monitoring and continuous improvement for mass production lines.
troubleshooting and full root cause analysis for production matters.
maintain products quality by improving TEST stability, coverage, design, and manufacturing process.
driving task forces for product failure analysis.

develop TEST automation for nvidia networking products, which requires an understanding of hw and sw to provide stable, efficient and robust production tests, to enable high availability, while ensuring the quality of the products being shipped to customers
utilize TEST suites to find, debug and resolve problems with production process
work in multi discipline environment to provide robust solutions and drive defects to resolution
generate statistics about code quality, complexity, and coverage

were looking for a highly skilled Full Stack Developer to join our engineering team. in this role, youll design, develop, and maintain both backend and frontend systems that power mobileyes production and internal applications. youll work across teams to deliver user-facing features end to end, building scalable, high-availability solutions that support production environments and future web-based platforms. what will your job look like?
design, develop, and maintain scalable backend services primarily using Node.js (and Python where applicable), applying modern web frameworks and industry best practices.
build rich, responsive user interfaces using React, angular, or vue.
develop end-to-end features, integrating frontend and backend components into cohesive, production-ready solutions.
design and manage databases (sql and nosql), focusing on performance, reliability, and solid data modeling.
support and enhance production applications, ensuring high availability, resilience, and smooth operation across environments.
build, containerize, and deploy applications using docker and kubernetes in Linux -based setups.
implement and maintain ci/cd pipelines using gitlab ci for automated testing, integration, and deployment.
work with aws services to deploy, monitor, and scale cloud-based applications.
contribute to system architecture, participate in code reviews, and mentor junior developers when needed.
collaborate closely with product, design, and cross-functional engineering teams to deliver high-quality user experiences.