לוח משרות דרושים מתכנת Python משרה מלאה

We are seeking a seasoned Backend Tech Lead 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.

Were looking for a Computer Vision Research Scientist to join our amazing growing team where each team member makes an impact.
Responsibilities:
Conduct research and development in computer vision and image processing
Design, implement, and integrate computer vision and machine learning algorithms and prototypes and assist in the transition into products and services
Interact with and support multiple research teams ranging from research scientists to engineers to manufacturing and retail
Work between multiple business units and sub business units including managing meeting flows, presenting data, building, and maintaining relationships.
integrate the latest high impact ML and AI technologies into our process.

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.

As a Senior Software Engineer in R&D, you will be a key player in the design, development, and deployment of our cybersecurity platform. Your responsibilities will include:

Leading the research and implementation of techniques to identify and mitigate AI-related attack methods, such as data manipulation and adversarial attacks on security systems.
Developing and integrating new security features into our platform to proactively defend against modern cyber threats.
Collaborating with our team to define technical requirements and architectural solutions for cutting-edge security features.
Tackling challenging technical problems at the intersection of cybersecurity and low-level systems.

we are looking for an exceptional Senior Full Stack Engineer to join our Scheduling R&D team in the challenge of moving the world smarter and more efficiently. We are looking for an experienced professional with superb interpersonal skills, a software engineering background, and the production experience of building web apps at scale.
As a Developer on the Scheduling Team, you will play a pivotal role in shaping and enhancing the user experience and performance of our schedule optimization platform.
Responsibilities:
Participate in all stages of the development lifecycle, from design and implementation to testing and deployment.
Collaborate closely with the team lead, product manager, and UX/UI designer in a cross-functional environment, while maintaining strong alignment with other R&D teams across the organization.
Lead and contribute to key decisions on architecture, technology stack, roadmap, and user experience.
Drive the adoption of AI-powered tools and practices, helping shape how we leverage AI to accelerate development and improve product quality.
Mentor and support team members through knowledge sharing and technical guidance.

As a Backend Platform Engineering manager, you will be leading a tight-knit and dynamic team of experienced engineers that takes pride in high coding standards and modern development practices

The team takes their talent and experience and transform it into the standard of backend engineering area, affecting coding excellence, From Service creation to Production monitoring

As a leader in the Platform Engineering group, you will be responsible for serving other engineers here, by providing them with wider solution of internal services, packages and tools.

The team continually improving the DevX (Developer experience) of more than 200 engineers and setting high bar of coding standards, helping the product engineering team to focus on their business oriented tasks while using the Platform Engineering solutions

This position requires an experienced team leader that achieved success in their previous roles as a technical leader, that wants to add a deeper challenge, impacting other engineers besides their own team.

As a Senior Data Engineer, you will play a key role in shaping and driving our analytics data pipelines and solutions to empower business insights and decisions. Collaborating with a variety of stakeholders, you will design, develop, and optimize scalable, high-performance data analytics infrastructures using modern tools and technologies. Your work will ensure data is accurate, timely, and actionable for critical decision-making.

Key Responsibilities:

Lead the design, development, and maintenance of robust data pipelines and ETL processes, handling diverse structured and unstructured data sources.
Collaborate with data analysts, data scientists, product engineers and product managers to deliver impactful data solutions.
Architect and maintain the infrastructure for ingesting, processing, and managing data in the analytics data warehouse.
Develop and optimize analytics-oriented data models to support business decision-making.
Champion data quality, consistency, and governance across the analytics layer.

We are seeking a talented and experienced team manager to head our Data Science team within the critical Risk domain. This role uniquely combines hands-on development of vital risk prevention models, team mentoring, defining the technological strategy, and driving innovation in the field of AI Agents.

Key Responsibilities
As the Data Science Team Lead for Risk, you will be responsible for:

Technological and Strategic Leadership: Defining and implementing the Data Science strategy for the Risk domain, while identifying critical business and technological opportunities.
Hands-on Development: Actively working on the development, building, and deployment of critical Machine Learning and Gen-AI models for identifying, classifying, and preventing risks and fraud.
Team Management and Mentoring: Managing and guiding a team of talented Data Scientists, including work planning, professional development, providing mentorship, and contributing to talent acquisition.
AI Agents Innovation: Leading the team's efforts in the field of AI Agents within Risk, including architectural design, developing complex Agent Workflows, advanced Prompt Engineering, and developing rigorous Evaluation methodologies to ensure reliability and accuracy in production.
Cross-Functional Collaboration: Managing strategic relationships and collaborations with Engineering, Product Managers, Analysts, and other stakeholders to ensure solutions meet critical business needs.
Production Deployment: Ensuring Data Science solutions transition reliably, scalably, and efficiently from concept to production and making significant impact.

As a Data Analyst you will be working with colleagues from various disciplines, such as - Product, Engineering, Marketing, Sales, Customer Success, Risk, Data Scientists within the team and other Data Analysts - on their KPIs, the way they observe information and the hardest questions each team is facing in order to drive insights and keep a data driven company. You will play a key role in the ability of each team to keep scaling!

As a data scientist you will work directly with engineers, sales, product and clients in order to translate business requirements to production level prediction models and algorithms.

What Youll do

Research and find creative solutions to a unique set of problems
Develop and maintain machine learning models and optimization algorithms from research to production
Develop data infrastructure and pipelines
Collaborate with engineers, sales, product and clients

As a Data Engineer , you will own the architecture and optimization of large-scale ETL processes that transform raw heavy-duty vehicle telemetry into production-grade intelligence. You will operate at the intersection of Big Data and AI, building scalable pipelines, enforcing data quality standards, and managing cost-efficiency for a system processing billions of time-series records. You will be a technical owner, collaborating directly with Data Scientists to ensure our fleet intelligence models run reliably in production.
What Youll Do
Architect and build robust ETLs and scalable data pipelines on Databricks and AWS.
Optimize high-throughput ingestion workflows for billions of time-series records, ensuring low latency and data integrity.
Engineer data validation frameworks and automated monitoring to proactively detect anomalies before they impact models.
Drive cost-efficiency by tuning Spark jobs and managing compute resources in a high-volume environment.
Transform raw IoT/telemetry signals into structured, enriched Feature Stores ready for Machine Learning production.
Define best practices for data engineering, CI/CD for data, and lakehouse architecture across the organization.

We are looking for Senior Engineers who treat AI as a core part of their workflow - people who experiment, iterate, and know how to get real value out of AI tools. Flexibility, curiosity, and a problem-solving mindset are must-haves. In this role you will have the opportunity to take ownership of the development of groundbreaking, AI-driven products and work on interesting projects inside a smart, fun, and dynamic engineering team.
This position is based out of our Jerusalem or Tel-Aviv offices and reports to the Dev Team Lead.
What you will be responsible for
Write clean, high-quality, high-performance, maintainable code.
Ensure that the projects you work on meet business objectives and coding standards.
Support the deployment and testing of new products and features.
Collaborate with cross-functional teams to gather and analyze requirements, translating them into technical specifications.
Design and implement APIs and integrations with third-party services to enhance system functionality.
Optimize application performance through code profiling, monitoring, and refactoring as necessary.
Implement automated testing frameworks to ensure code robustness and reliability.
Participate in code reviews and provide constructive feedback to peers to foster continuous improvement.
Stay updated with emerging technologies, best practices, and industry trends to drive innovation within the team.
Assist in the establishment and enforcement of development standards and coding conventions.

We're looking for an Experienced Software Engineer to build and scale our data systems. Youll be responsible for designing and implementing frameworks for robust backend systems and data pipelines that integrate with multiple clinical data sources.
What Youll Do:
Build a next-generation data platform using cutting-edge technologies.
Be part of a strategic, high-priority team driving a key company initiative.
Integrate with diverse external clinical data sources, ensuring seamless data flow.
Maintain high reliability, scalability, and data integrity across the platform.
Uphold strong engineering standards to ensure a robust and future-proof system
Use meta-level thinking to create generic, declarative frameworks

We are looking for an ambitious Production Analyst, who wants to make a strong impact by implementing detailed investment policy configurations (Python) and performing comprehensive quality checks, ensuring that the policy delivers the required portfolio KPIs.The Analysts conduct various analyses projects, highly influencing the business aspects of the company. You should be comfortable working quickly and handling a busy workload, demonstrate meticulous attention to detail and critical thinking while collaborating effectively with both highly technical teams and executive stakeholders.
This individual will join the Portfolio Management & Research department, and will be part of a team that has both data scientists and data analysts, focusing on the company's main credit products and working closely with the production environment.
Responsibilities
Managing and implementing (Python) underwriting policies in the production environment.
Perform quality analytics checks to ensure the policy logic meets the defined requirements (Portfolio KPIs) and works correctly in all scenarios, with a direct impact on the overall performance and outcomes of the portfolio.
Conducting tests to evaluate each component of the policy configuration to validate the results.
Monitoring of the policy behavior in production and analyze if the actual results meet the expectations.
Demonstrate the ability to present and provide meaningful business insights from data.
Perform ad-hoc analysis to support business decisions.
Create innovative & interactive dashboards, scorecards, and weekly/monthly reports on the status of key business measurements tailored to all audiences (from executive management to business line employees) using BI tools, Python and SQL queries.

We are looking for an experienced and hands-on Backend Engineer to be a key player in building high-scale Data Platforms and Products for our business teams.

This role involves working with large datasets and scalable systems, and developing internal tools to enable data-driven decision-making across the company.

Key Responsibilities:

Develop internal tools for various teams .
Build and maintain microservices and APIs to support diverse workflows.
Operate in a real-time, event-driven environment.
Create and manage data pipelines.
Take ownership of multiple systems and products.
Develop and deploy machine learning pipelines to production in an event-driven architecture.
Work in a multi-cloud environment (Azure/GCP/AWS).
Integrate third-party tools with our platform.
Translate business requirements into technical specifications.