לוח משרות דרושים מתכנת Python

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.

We are growing our team and are looking for a talented, experienced, passionate, and driven Senior Backend Engineer to join our infra team.

Join us to help shape the future of work!



What's the job?

Our Core Team is seeking a talented and experienced Back End Developer.
Your responsibilities as a member of the Core Team will include creating a seamless and efficient development experience for the R&D team to move forward more quickly.
Maintaining the stability, performance, and infrastructure of our product, as well as assisting full-stack developers and improving processes.



What you'll be doing:

Design, develop, and maintain the back-end infrastructure of our product with our full-stack developers.
Ensure the stability and performance of our product, and optimize it for scalability and high availability.
Provide guidance and support to full stack developers on the team as a technical lead.
Collaborate with the product and design teams to implement new features and improvements.
Identify and resolve any technical issues that arise, and proactively address potential issues before they impact users.
Monitor and optimize server and database performance to ensure high availability and scalability of our product.
Utilize the latest technologies and industry trends as appropriate for our product and development processes.

We are growing our team and are looking for a talented, experienced, passionate, and driven Senior Backend Engineer to join our infra team.

Join us to help shape the future of work!



What's the job?

Our Core Team is seeking a talented and experienced Back End Developer.
Your responsibilities as a member of the Core Team will include creating a seamless and efficient development experience for the R&D team to move forward more quickly.
Maintaining the stability, performance, and infrastructure of our product, as well as assisting full-stack developers and improving processes.



What you'll be doing:

Design, develop, and maintain the back-end infrastructure of our product with our full-stack developers.
Ensure the stability and performance of our product, and optimize it for scalability and high availability.
Provide guidance and support to full stack developers on the team as a technical lead.
Collaborate with the product and design teams to implement new features and improvements.
Identify and resolve any technical issues that arise, and proactively address potential issues before they impact users.
Monitor and optimize server and database performance to ensure high availability and scalability of our product.
Utilize the latest technologies and industry trends as appropriate for our product and development processes.

We are seeking a highly skilled and experienced Attacks and Exploits Developer to join a specialized team focused on developing offensive, production-ready attack capabilities.
This is a research and development (R&D) role at the core of our offensive security efforts. You will be responsible for architecting and delivering advanced low-level attack components used in evasion techniques, red team tooling, and adversary simulations.

What Youll Do

You will build and ship product features across the Full Stack, owning backend in Python and frontend development equally.



Core Responsibilities

Build and maintain backend services in Python + FastAPI (APIs, business logic, integrations, data flows).
Design and implement clean, scalable REST APIs and service layers that power the product.
Integrate R D outputs (AI models, algorithms, internal services) into production through robust API layers and workflows.
Build and maintain the frontend in React (component architecture, state management, hooks, performance).
Own features end-to-end: requirements? backend design? API implementation? frontend integration? testing? deployment? monitoring.

MUST: Experience working at scale/scaled systems