לוח משרות דרושים מתכנת Python בתל אביב יפו, לחיפוש זה נמצאו 93 משרות

Requirements:
5+ years of hands-on experience in test automation, including ownership of frameworks or large-scale automation systems
Strong programming skills in Python and/or TypeScript, with solid software engineering fundamentals
Proven experience designing, building, and scaling automation frameworks such as Pytest, Playwright, or Selenium
Deep understanding of CI/CD workflows and test integration, using tools such as Jenkins or GitHub Actions
Experience testing distributed, cloud-based SaaS systems on AWS, GCP, or Azure
Strong debugging, problem-solving, and system-level thinking
Hands-on experience with Linux environments and shell scripting
Experience working with logs, monitoring, and technical investigation of system failures
Comfortable using AI tools as part of the daily development and automation workflow
Understanding of cybersecurity concepts, security-sensitive flows, or cloud security environments
Excellent communication skills, with the ability to influence technical decisions and drive quality initiatives across teams
Nice to Have :
Experience working on cybersecurity products, security platforms, or detection/response systems
Experience with AI-driven development tools, agentic workflows, or Model Context Protocol (MCP)
Experience with containerization and infrastructure-as-code tools such as Docker, Terraform, or Ansible
Familiarity with Kubernetes and distributed system architectures
Experience working with databases such as SQL, MongoDB, Redis, or Neo4j
Experience with message queues such as RabbitMQ
Experience in performance, load, reliability, or resilience testing
Experience improving observability, logging, and alerting for test and production-like environments

Requirements:
Minimum qualifications:
Bachelors degree or equivalent practical experience.
2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures and algorithms.
Experience with systems programming (C++ preferred) and developing or debugging software in Unix/Linux user-space or kernel environments.
Experience with software architecture, engineering productivity, C++, C, Python, network architecture, large-scale distributed systems.
Familiarity with building, analyzing, and optimizing networking components and protocols (e.g., Cloud NAT, firewalls, load balancers, TCP/IP, or Software-Defined Networking).

Requirements:
5+ years of experience in automation development
Experience with AI tools or MCP
Strong programming skills in Python and TypeScript
Proficiency with automation frameworks such as Pytest, Selenium, or Playwright
Experience with CI/CD tools (e.g., Jenkins, GitHub Actions)
Hands-on with Linux systems and shell scripting
Background in testing cloud-based systems (AWS, GCP, or Azure)
Strong grasp of OOP principles, debugging, and problem-solving
Excellent communication and a team-first attitude
Nice to Have :
Experience with infrastructure tools like Docker, Terraform, or Ansible
Comfort working with databases (MongoDB, SQL, Neo4j, etc.)
Exposure to container orchestration systems like Kubernetes

Requirements:
5+ years of experience with large-scale backend development, with a strong emphasis on Python.
Understand and troubleshoot networking and routing, with deep knowledge of TCP/UDP protocols.
Strong software design and debugging capabilities.
Able to adapt and learn new technologies quickly.
Experience with virtualization tools and containers.
Analytical thinking.

Requirements:
5+ years of experience in server backend design and development of production applications.
strong track record of building complex production applications in Python.
System Architecture: Experience building distributed, high-availability, large-scale systems that handle real-time traffic and data - Must.
AI-Assisted Development: Proficiency in utilizing AI development tools to accelerate development workflows, code generation, and problem-solving- Must.
Bonus Points:
Experience with Cloud-Native technologies (AWS/Azure/GCP, Docker, K8s).
Experience in the Cybersecurity industry, specifically in Remote Access (VPN/ZTNA) or Identity (IAM).
Networking & Security Expertise: Deep understanding of networking protocols (TCP/IP, HTTP/S, SSH, RDP) and security concepts (Zero Trust, Identity Management, Encryption)

Requirements:
Required qualifications

Currently pursuing an M.Sc. or M.A. degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a related technical field, with at least 3 semesters remaining

Programming experience in one or more general-purpose languages such as Python, C#, Java, JavaScript/TypeScript, C++, or similar.

Understanding of core computer science fundamentals, including data structures, algorithms, software design, and debugging.

Ability to communicate clearly, collaborate effectively, adapt across technologies and engineering tasks, and learn quickly in a team environment.


Preferred qualifications

Currently pursuing a Doctorate in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a related technical field, with at least one semester/term remaining after the internship.

1+ year of programming experience.

6+ months of experience delivering projects in teams, through coursework, internships, open-source work, research, or personal projects.

1+ year of experience developing and applying data structures and algorithms.

Familiarity with AI, machine learning, generative AI, LLMs, agents, retrieval-augmented generation, prompt engineering, or evaluation methods.

Basic familiarity with cloud platforms, REST APIs, SDKs, CI/CD, telemetry, or observability.

Interest in responsible AI, security, reliability, and building software for regulated or sovereign cloud environments.

Demonstrated entrepreneurial mindset, creativity, initiative, ownership, and persistence in identifying meaningful problems, exploring unconventional solutions, and turning ambiguous ideas into tangible outcomes in 0 to 1 product spaces.

Requirements:
7+ years backend engineering, including 2+ years tech-leading or managing.
Deep experience in Node.js or Python (strong in the other).
Distributed systems/Kubernetes/cloud expertise; strong operational rigor.
Track record of scaling systems, improving reliability, and shipping fast.
Excellent communication, prioritization, and mentoring skills.
Nice to have:
Large K8s clusters (hundreds of nodes), GPU scheduling, NVIDIA stack (CUDA, Triton).

Requirements:
Minimum qualifications:
Bachelors degree or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
1 year of experience with data structures or algorithms.
Experience integrating generative AI tools or LLM interfaces into workflows.
Preferred qualifications:
Master's degree in Computer Science or a related technical field.
1 year of experience developing or supporting observability tooling (e.g., Metrics, Logs, Traces) using platforms like Prometheus, Grafana, Splunk, ELK, or OpenTelemetry.
Expertise in the networking implementation details of a specific major cloud provider (e.g., VPC, peering, firewalls, GKE/EKS networking).
Proven ability to diagnose and troubleshoot complex network issues in a public cloud environment.

Requirements:
4+ years of experience as a Data Engineer or BI developer
Experience working in product companies or startup companies
Proficient in SQL and DBT, with experience building scalable data models
Hands-on experience with ETL/ELT pipelines and tools
Proficient in Python for data manipulation, automation, and working with APIs or files
Comfortable working alongside AI coding tools (Claude Code or similar). We use AI tooling actively in our workflow, and we expect engineers to leverage it productively and critically.
Strong problem-solving skills and ability to independently manage projects from start to finish
Collaborative, proactive, and kind - you like working with people just as much as with data
Fluent in English
Bachelors degree in Computer Science, Engineering, or a related field preferred

Requirements:
BS degree in Linguistics or Computational Linguistics / equivalent
Highly skilled Python and/or C++ developer
2+ years of experience in Natural Language Processing (NLP)
Knowledge of semantics, syntax, morphology, Phonology

Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
5+ years of experience in backend development, with a strong focus on infrastructure and platform engineering.
Proficiency in programming languages such as C#, Python, Java, or Go.
Experience building large-scale infrastructure applications or large-scale web applications.
Experience improving stability of large-scale systems using monitoring, solving bottle-necks and making appropriate changes.
High coding standards, working independently and experience leading long term tech tasks involving many teams and stakeholders.
Experience with cloud platforms (e.g., AWS, GCP, Azure) and container orchestration tools like Kubernetes.
Familiarity with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Ansible).
Demonstrated experience in integrating and leveraging AI tools to enhance development workflows.

Requirements:
Has 5+ years of experience in developing code for big data infrastructure. Proficiency in technologies such as: Databricks, Spark, Airflow, Firehose, SQS, or other similar tools.
Proven experience working with high scale on AWS or any other cloud provider. Experience in architecture and design of large-scale and high performance production systems.
Comfortable taking challenges and learning new technologies.
Excellent communication skills with the ability to provide constant dialog between teams.
Ability to take business requirements and translate them to technical alternatives by performing risk management and evaluating tradeoffs.

Requirements:
3+ years of experience with Python or Java in backend-oriented development
Solid experience with Java, including building enterprise-level applications and services
Deep understanding of distributed systems, microservices architecture, and cloud platforms
Expert knowledge of designing and implementing secure, highly-scalable RESTful APIs
Comfortable using AI tools in daily development (e.g., coding assistants, test generation, debugging, documentation support)

Requirements:
10+ years of software engineering experience with deep production-level mastery of Go and/or Java (Python a plus), and a strong track record of building and operating high-scale distributed backend services.
A track record of being a recognized subject-matter expert others seek out to review and elevate their designs, with a passion for building high-scale distributed systems.
Platform thinking: proven experience building and evolving platforms, not just features, with a focus on API design (gRPC, REST), service boundaries, multi-tenancy, and shared infrastructure in a high-scale SaaS environment.
Strong background in distributed data processing and microservices, building high-quality, scalable data products that handle millions of events per second.
Deep experience with AWS and/or GCP, Kubernetes, Docker, Postgres, Redis, Kafka, Cassandra, and ClickHouse.
Hands-on experience leveraging AI in the development process (e.g. AI coding assistants and agentic dev tools such as Claude Code, Cursor, or Copilot) and a desire to reshape how a team builds software to better utilize AI.
Experience embedding AI into production services, building agentic and LLM-powered capabilities. Familiarity with modern techniques such as agentic frameworks and orchestration, retrieval-augmented generation (RAG), the Model Context Protocol (MCP), vector databases, prompt engineering, and evaluation and guardrail frameworks for reliable AI systems is a strong advantage.
The ability to turn vaguely specified, complex requirements into efficient, future-proof end-to-end designs, and to drive multi-team initiatives and influence the engineering roadmap.
Strategic communication: able to articulate complex technical trade-offs to both technical and non-technical stakeholders, including Product Management, Directors, and VPs.
Ability to swiftly delve into new products, and to collaborate effectively with local and remote teams across time zones.
Customer focus: you care about delivering value and want to hear directly from customers on how to evolve your systems.
Previous experience developing security-related products is a strong advantage.

Requirements:
5+ years in security engineering with strong hands-on expertise across both application and cloud/infrastructure security
Hands-on experience with SAST, DAST, SCA, WAF, threat modeling, secure code review, and API security
Experience defining and driving secure development lifecycle programs (SSDLC), including embedding security gates into CI/CD pipelines and GitOps workflows
Experience securing cloud-native environments (AWS preferred, GCP/Azure a plus), including containers, Kubernetes workloads, and microservices
Hands-on experience with Terraform, CSPM/CNAPP tooling, and misconfiguration remediation
Solid understanding of networking fundamentals (TCP/IP, DNS, TLS, network segmentation) with practical experience implementing zero trust architectures and ZTNA
Experience with Okta, Google Workspace, SSO/SAML/OIDC, and least-privilege access models
Familiarity with industry-leading security platforms and tooling across MDM, EDR, SIEM, CSPM/CNAPP, ASPM, WAF, DAST/SAST, ZTNA, and identity security platforms
Proficiency in scripting and automation - Python, JavaScript, Bash, or similar
Broad generalist mindset with the ability to operate across multiple security domains and connect the dots between them