לוח משרות דרושים Senior Python Developer

Requirements:
BSc in Computer Science (or equivalent academic degree).
7+ years of experience in backend software development using Python.
Proven experience with at least one Python web framework (FastAPI, Flask, or Django).
Solid understanding of frontend frameworks (React, Angular, or Vue) and RESTful API design.
Strong knowledge of relational and non-relational databases (PostgreSQL, MySQL, MongoDB).
Deep expertise in Docker and Linux environments.
Hands-on experience with GitLab CI/CD pipelines.
Proficiency with AWS cloud services (deployment, scaling, monitoring).
Experience working with C++ and/or Cython in Python environments.
Understanding of automation systems and production-grade infrastructure.
Strong analytical, debugging, and problem-solving skills.
Excellent communication and teamwork abilities.

Requirements:
Bachelors or higher degree in Computer Science, Physics, Mathematics, or a related field
3+ years of Python development experience
Strong software engineering skills with Linux/Python stack experience - comfortable building production systems, working with package managers, containerization, and development workflows
Comfortable working with 3D spatial concepts and ability to learn domain-specific geometric algorithms
Proficiency in numerical and data science frameworks such as NumPy, Pandas, and SciPy
Solid understanding of Linux environments
Advantages:
Background in robotics, computer graphics, geospatial systems, comuter vision, or physics simulation - comfortable with 3D mathematics, coordinate transformations, and spatial algorithms
Full-stack development experience - web technologies, databases, building internal dashboards and tools
DevOps and infrastructure experience - monitoring, logging, deployment automation, distributed data processing

Requirements:
3+ years of Python development experience (Object Oriented programming - not scripts).
2+ years experience working on Linux platform, be comfortable with Linux.
Strong technical abilities, problem-solving, design, coding and debugging skills.
Highly motivated and independent
Strong problem solver and out-of-the-box thinker
Ability to lead feature development, take full ownership of tasks from A-Z and deliver independently with minimum supervision.
Strong communication abilities
Strong multi-tasking abilities
Advantage:
Network, Storage, Virtualization, Docker, Git, HTTP, REST.

Requirements:
Bachelors degree in Computer Science, Software Engineering, or equivalent.
8+ years of software development experience, with a strong focus on Python.
Object-Oriented Design and Development.
Hardware-software integration.
Leadership and team collaboration.
Strong communication skills.
Proven experience in Object-Oriented Development-advantage.
Familiarity with hardware interfaces and automated testing systems -advantage
Experience in regulated environments (medical devices or similar) is a plus.
A willingness to learn new technologies and adapt to evolving requirements.
Strong problem-solving skills and creativity in developing innovative solutions.

Requirements:
- 10+ years of software engineering experience, with deep experience in Python (Django preferred).
- 2+ years in a Principal, Staff, or Architect role driving technical direction across teams.
- Experience in AI-enhanced development: using and/or implementing tools like GitHub Copilot, Cursor, Claude Code, CodeWhisperer, test generators, LLM integrations, etc.
- Strong architectural and systems design skills, especially in web-scale applications and monolith-to-service evolution.
- Proven experience and ability to drive impact through influence in a matrixed organization.
- Hands-on experience with modern cloud infrastructure (Azure preferred), Docker, and Kubernetes.
- Strong understanding of frontend architecture (Angular preferred).
- Excellent communication and collaboration skills across functions and geographies.
Advantage:
- Experience with Excel add-in development (Office.js, C# COM).

Requirements:
7+ years of hands-on software engineering experience in a modern language (Go preferred; Python, Node.js, or C++ also great).
Strong cybersecurity engineering background - Deep understanding of attacker TTPs, lateral movement, privilege escalation, credential abuse, and network exploitation.
Familiarity with enterprise security environments (Active Directory, cloud infrastructure, EDR/XDR, network segmentation).
Advantages:
Experience building AI/ML-driven systems or agent-based simulations.
Experience as a red teamer, penetration tester, or security researcher.
Knowledge of graph modelling or graph databases (e.g., Neo4j) for attack-path representation.

Requirements:
5+ years of backend development experience, primarily in Python.
Experience building and operating data pipelines, data lakes, or large-scale data infrastructure.
Strong data modeling skills - you think carefully about how data is structured, accessed, and flows through systems.
Experience with distributed systems and the challenges they bring (consistency, failure modes, debugging across services).
Familiarity with microservices architecture and tooling (Docker, Kubernetes).
Experience with NoSQL databases.
Track record of bootstrapping projects and building systems from scratch.
High independence - you thrive with autonomy and ownership in ambiguous environments.
Advantages:
Experience building infrastructure projects or internal platforms.
Background in developer experience (DevEx) initiatives or tooling.
Data management at scale - ETL, data quality, governance.
Experience in cybersecurity, threat intelligence, or related domains.
Familiarity with AI/agentic application patterns and how they consume data.
Experience with graph databases.
Networking knowledge (protocols, flows, traffic analysis).
Startup or small-team experience.

Requirements:
8+ years of hands-on experience with modern C++ (C++17 or later) in a Linux environment
python and C++ embedding
Kubernetes
Proficiency in writing modular, reusable C++ libraries
Publish/subscribe systems / message brokers / communication between micro services
Familiarity with Python for scripting or tooling
Strong understanding of software architecture and design patterns
Experience profiling and tuning Linux-based applications
Proficiency in version control (Git) and CI/CD workflows
Experience with Docker in development or deployment pipelines
Comfortable working with or analyzing systems using eBPF
Familiarity with deploying or integrating into Kubernetes-based environments
Clear communication, strong problem-solving, and a collaborative mindset
Prior experience in storage systems, networking, or distributed infrastructure - advantage.

Requirements:
At least 5 years of hands-on software development experience in Python - A MUST
Deep knowledge of Object-Oriented (OO) programming - A MUST
B.Sc. in Computer Science or Engineering, or relevant military courses and experience
Team player, with strong communication, collaboration, active listening, and problem-solving skills
Proven experience developing real-time stream processing solutions
Agile/Scrum environment expertise
Advantages:
Proven experience in C++ development
Strong understanding of CI/CD concepts, including automation concepts
Multi-process/threaded application knowledge
Extensive startup experience
Knowledge of Networking and Operating Systems fundamentals

Requirements:
5+ years of Software Development experience or equivalent army experience.
Experience with System Programming - A Must
Experience with Python programming - A Must
Experience with C programming - A Must
Reverse engineering -Must, ARM - Advantage
OS internals knowledge and practical low-level experience, especially Linux - Must
Experience with iOS internals and Objective C - Advantage
Experience with leading a software project throughout the entire development cycle - Advantage.

Requirements:
Core Backend Expertise: Strong Python 5+ backend experience, including building production services with a focus on clean code and maintainability.
Asynchronous Systems: Experience with message-driven systems (e.g., AWS SQS or similar) and background workers.
Database Proficiency: Solid SQL and Postgres fundamentals; comfort with schema evolution and performance basics.
API & Protocols: Service API fundamentals: HTTP and gRPC; awareness of protobuf/versioning and backward compatibility practices.
DevOps Comfort: Familiarity with CI/CD as a user (e.g., GitHub Actions) and comfortable with branch-based test environments.
Operational Mindset: Strong observability mindset: the ability to add metrics, read logs/dashboards, and debug issues systematically.
Testing Discipline: Confident with testing (pytest, component/integration tests, snapshot testing) and confident in refactoring existing code.
Ownership: Demonstrated end-to-end responsibility for a platform area and effective collaboration with adjacent teams (Application, Data Science).
Nice-to-haves:
Applied Data/ML Engineering: Practical experience with pandas, scikit-learn, onnxruntime, numba, and production inference experience.
Vector/Similarity: Practical work with embeddings/similarity (e.g., pgvector) for grouping and search functionalities.
Internal Tools: Experience building internal analytics tools (e.g., Streamlit) for triage and insight.
Advanced gRPC: Deeper gRPC/protobuf practices, including schema evolution strategies and performance tuning.
Security in Data: Experience with security/privacy in data-heavy domains (PII handling, secrets hygiene, auditing best practices).
Domain Knowledge: Experience integrating with ERP systems or financial data sources.