Full stack Engineer with Python Orientation, DRA team

Posted Yesterday
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Tel Aviv, ISR
In-Office
Senior level
Artificial Intelligence • Big Data • Information Technology • Security • Software
The Role
Develop and maintain complex full-stack software applications with a strong Python backend focus. Design algorithms, build new features, test and debug systems, and collaborate with cross-functional teams. The role involves cloud platforms, machine learning, client-server architecture, AI coding assistants, and potentially Airflow, data warehouses, databases, SQL, and multithreaded environments.
Summary Generated by Built In

At Thales, we know technology has the ability to make our world more secure, sustainable, and inclusive – and that it’s all driven by human intelligence.

Because it takes human intelligence to build and power the systems and solutions that people depend on every day. So we stay curious and make space for diverse points of view. We share what we know and we challenge what’s possible.

We’re driving progress in some of the world’s most important industries - from the bottom of the oceans to the depths of space and cyberspace - and from manufacturing to engineering, we work together to build a future we can all trust.

Imperva, a Thales company, is a globally recognized cybersecurity leader, dedicated to securing data and applications across diverse environments. Our cutting-edge solutions empower organizations to safeguard their most critical assets, ensuring robust protection against emerging threats.

 We are looking to hire a Full Stack Engineer with Python orientation as part of the Security Insights Group, based at our technologically advanced R&D Center located in Tel Aviv. As part of the team, you will be working on a project that combines advanced algorithms, machine

learning, client-server architecture, and more. This is a chance to join an exciting new project in a mature security company.


Key Responsibilities:



  • Quickly grasp and understand complex systems, providing innovative solutions to challenging problems.
  • Design, code, test, and debug complex software applications using Java technologies.
  • Design new features from scratch based on a deep understanding of requirements and customer needs.
  • Collaborate with cross-functional teams to define, design, and ship new features.
  • Stay updated on industry trends, emerging technologies, and best practices to enhance your skills and contribute to the team's success.

Requirements:


  • B.Sc. in Computer Science or a related field from a recognized university.
  • 5+ years of hands-on experience developing backend systems in Python.
  • Strong working knowledge of cloud platforms (AWS, GCP, or Azure).
  • Demonstrated experience designing and implementing complex algorithms.
  • Track record of quickly adapting to new technologies and evolving methodologies.
  • Practical experience using AI coding assistants (e.g., Copilot, Claude, Gemini), including prompt engineering for development tasks.
  • Self-driven, quick to learn, and capable of working independently.
  • Positive, "can-do" mindset paired with excellent interpersonal and communication skills.


Nice to have:

  • Familiarity with Apache Airflow.
  • Experience working with data warehouses.
  • Proficiency with databases and SQL query writing .
  • Experience operating in a multi-process/multi-threaded environment.

Thales, champions inclusion and we believe diversity strengthens the fabric of our culture. We are an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
 

Skills Required

  • B.Sc. in Computer Science or a related field from a recognized university
  • 5+ years of hands-on experience developing backend systems in Python
  • Strong working knowledge of AWS, GCP, or Azure
  • Experience designing and implementing complex algorithms
  • Ability to quickly adapt to new technologies and evolving methodologies
  • Practical experience using AI coding assistants, including prompt engineering for development tasks
  • Self-driven, quick to learn, and able to work independently
  • Excellent interpersonal and communication skills
  • Familiarity with Apache Airflow
  • Experience working with data warehouses
  • Proficiency with databases and SQL query writing
  • Experience operating in a multi-process or multithreaded environment

Thales Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Thales and has not been reviewed or approved by Thales.

  • Retirement Support — Retirement plans with employer contributions and matches, profit sharing, and share purchase opportunities are emphasized across multiple regions. These elements are positioned as competitive components of total rewards.
  • Leave & Time Off Breadth — Generous PTO that increases with tenure, paid holidays, and paid military, maternity, and paternity leave are described. This breadth supports work–life balance across locations.
  • Flexible Benefits — Hybrid work options, flexible schedules, and parental supports such as childcare benefits and leave for sick children are available in several markets. Flexibility is presented as a core part of the employee experience.

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The Company
HQ: Paris
63,258 Employees

What We Do

Thales is a global high technology leader investing in digital and “deep tech” innovations – connectivity, big data, artificial intelligence, cybersecurity and quantum technology – to build a future we can all trust, which is vital to the development of our societies. The company provides solutions, services and products that help its customers – businesses, organisations and states – in the defence, aeronautics, space, transportation and digital identity and security markets to fulfil their critical missions, by placing humans at the heart of the decision-making process.

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