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Requirements:
Requirements
At least 3 years of hands-on experience in DevOps, Platform Engineering, or a similar infrastructure-focused role.
Hands-on experience with a public cloud environment.
Production experience with Kubernetes, Docker, and Helm.
Experience with Terraform and Infrastructure as Code practices.
Experience with CI/CD, GitHub Actions, GitOps, and Argo CD.
Experience establishing or maintaining observability and monitoring capabilities, including Prometheus.
Strong scripting skills.
Experience collaborating closely with software engineering teams in a dynamic, cross-functional environment.
High proficiency in Hebrew and English.
A relevant degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.

Preferred Qualifications
Experience supporting AI products or LLM-based workloads.
Experience with cloud security, infrastructure hardening, and secure platform practices.
Experience with cloud cost optimization.
Experience using AI-powered code assistance or development tools.

Requirements:
Requirements
2-3 years of experience in project management or program management within an R&D or product environment.
Experience working with Agile methodologies and managing sprint cycles.
Hands-on experience with Jira and similar project tracking tools.
Strong ability to manage priorities, dependencies, and multiple stakeholders.
Excellent organizational, interpersonal communication, and process-driving skills.
Technical background and an understanding of software development processes.

Preferred Qualifications
Experience in a SaaS or B2B environment.
Experience leading Release Management processes.
A relevant degree, such as Information Systems, Industrial Engineering and Management, or a related field.

Requirements:
Requirements
6+ years of Backend or Full Stack development experience, with a strong focus on backend development.
Strong hands-on experience with NestJS and TypeScript.
Strong experience designing and developing scalable backend services and architectures.
Experience building REST APIs and asynchronous services.
Experience with PostgreSQL, Redis, and relational data modeling.
Experience with Python and FastAPI or similar modern backend frameworks.
Experience with React and modern frontend development.
Experience integrating LLM APIs such as OpenAI, Azure OpenAI, Gemini, or Claude.
Strong understanding of scalable software architecture and distributed systems.
Experience working with Git, CI/CD, Docker, and production environments.

Preferred Qualifications
Experience building Voice AI or Conversational AI applications.
Experience with SIP, VoIP, or telephony systems.
Experience with Twilio or enterprise communication platforms.
Experience with RAG pipelines and Vector Databases.
Experience with Kubernetes.
Experience with MCP (Model Context Protocol).
Experience deploying enterprise SaaS and On-Prem solutions.

Requirements:
Requirements
2+ years of professional experience in Solution Engineering, Software Engineering, Technical Implementation, Integrations, or a similar technical role.
Hands-on experience with Python and the ability to build scripts, integrations, and technical solutions.
Experience working with REST APIs, webhooks, and system integrations.
Experience working with databases and data-driven applications.
Hands-on experience or strong technical knowledge of Generative AI and LLM-based applications, including prompting and AI workflows.
Strong understanding of SaaS applications and production environments.
Strong troubleshooting and root-cause analysis skills across multiple systems and integrations.
Ability to understand customer business requirements and translate them into technical solutions.
Strong customer-facing and communication skills.
Ability to independently own multiple technical implementations from requirements through production.

Preferred Qualifications
Experience with Voice AI, conversational AI, AI Agents, chatbots, or automation platforms.
Experience with FastAPI, TypeScript, Node.js, or React.
Experience with RAG, Vector Databases, Embeddings, Guardrails, or LLM evaluation.
Experience with telephony and contact-center technologies, including SIP, PBX, VoIP, CTI, or telephony APIs.
Experience integrating with CRM, contact-center, or other enterprise systems.
Experience with Cloud environments, Docker, Kubernetes, or microservices.
Experience supporting customer-facing systems running in production.
Previous experience in a contact center or customer-service environment.

Requirements:
PhD in quantum computing, physics, computer science, mathematics, or a related field.
Strong programming skills, preferably in Python.
Expertise in one or more of the following fields is a strong plus: quantum algorithms research, quantum error correction, quantum chemistry, theoretical condensed matter physics, classical optimization problems, theoretical atomic molecular and optical physics, quantum information theory, machine learning, and AI.
Excellent technical and scientific communication skills in English, both verbal and written.

Requirements:
Requirements
5+ years of professional software development experience, with meaningful hands-on Python experience.
Strong software engineering skills, including system design, clean architecture, testing, performance, scalability, robustness, and maintainability.
Proven end-to-end ownership of software components, from design and architecture through implementation, testing, optimization, and productionization.
Strong algorithmic problem-solving skills, with experience implementing complex algorithms or solving mathematically intensive engineering problems.
Experience in an R&D or technically deep industry environment, including algorithmic, mathematical, scientific, or research-driven development.
Experience taking research prototypes or algorithmic concepts into production and turning them into robust, maintainable software.
BSc in Computer Science, Software Engineering, Electrical Engineering, Mathematics, Physics, or a closely related quantitative field - required.


Nice to Have
Relevant MSc in Computer Science, Software Engineering, Electrical Engineering, Mathematics, Physics, or a closely related quantitative field.
Prior exposure to quantum computing, quantum algorithms, or quantum software - a strong advantage
Effective use of modern AI-assisted development tools and workflows as part of day-to-day software engineering.

Requirements:
6+ years of experience in backend engineering in a agile environment - Must
Hands-on experience with AI tools (i.e Copilot, Cursor)
Experienced with traffic intensive systems or big data processing
BSc in Computer Science from a leading institute or equivalent experience
Extensive experience developing in Python or other equivalent high level language
Experience in developing with a distributed microservices architecture
Ability to work within a team as well as mentoring team-members and leading initiatives.
Experience with various kind of databases, database modeling and API design
Hands on experience in a cloud environments (AWS / GCP / Azure)

Requirements:
1-3 years of experience in technical support, support engineering, implementation, QA, or a similar customer-facing technical role.
Experience with SaaS B2B support.
Familiarity with tools like Zendesk, Jira, Datadog, Postman, SQL, or similar.
Experience supporting integrations, APIs, data pipelines, or security/compliance products.
Basic scripting ability in Python, JavaScript, or similar.
Experience working directly with Product and Engineering teams.
Strong troubleshooting skills and curiosity about how systems work.
Excellent written communication in English.
Ability to explain technical concepts clearly to both technical and non-technical audiences.
High ownership, attention to detail, and good judgment around urgency and escalation.
Willingness to work in shifts when needed to support global customer coverage.
Comfortable working in a fast-moving startup environment.

Requirements:
1-3 years of experience in technical support, support engineering, implementation, QA, or a similar customer-facing technical role.
Experience with SaaS B2B support.
Familiarity with tools like Zendesk, Jira, Datadog, Postman, SQL, or similar.
Experience supporting integrations, APIs, data pipelines, or security/compliance products.
Basic scripting ability in Python, JavaScript, or similar.
Experience working directly with Product and Engineering teams.
Strong troubleshooting skills and curiosity about how systems work.
Excellent written communication in English.
Ability to explain technical concepts clearly to both technical and non-technical audiences.
High ownership, attention to detail, and good judgment around urgency and escalation.
Willingness to work in shifts when needed to support global customer coverage.
Comfortable working in a fast-moving startup environment.

Requirements:
2+ years experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe or equivalent research experience
Strong programming skills in mainstream quant programming languages, such as Python and C++.
Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics.

Requirements:
A successful candidate will possess:
A minimum of 7 years of writing production-quality code in Python on Linux platform.
Candidate must be willing to learn C++. Experience in C++ is a strong plus
Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus.
Strong understanding and experience with Linux system programming fundamentals.
Ability to develop large-scale, distributed systems.
Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns.
Self-motivated and able to work independently with minimal direction.
Proficiency in English.

An outstanding candidate will also have experience with one or more of:
Developing systems for managing and performing computation on large-scale graph data.
Streaming / dataflow systems.
Candidates need not have prior experience in financial services.

Requirements:
A successful candidate will possess:
A minimum of 5 years of writing production-quality code in C++ on Linux platform.
Good understanding of Python language with development experience.
Strong understanding and experience with Linux system programming fundamentals.
Ability to develop large-scale, distributed systems.
Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns.
Self-motivated and able to work independently with minimal direction.
Proficiency in English.

An outstanding candidate will also have experience with one or more of:
Developing systems for managing and performing computation on large-scale graph data.
Streaming / dataflow systems.
Candidates need not have prior experience in financial services.

Requirements:
What Youll Bring:
Degree in a technical or quantitative discipline from a top tier institution.
3 to 8 years of working experience in software engineering.
Demonstrated ability to program in Python (preferred) or C++ on Linux/Unix platforms, familiarity with scripting languages.
Experience with effective code version control, as well as Continuous Integration and Deployment.
Exceptional communication skills in both verbal and written form.
Excellent problem-solving abilities and judgment with strong attention to detail.
Mature and thoughtful, with the ability to operate in a collaborative, team-oriented culture.
Motivated by the transformational effects of technology-at-scale.
Experience with AI technologies, such as LLMs and agentic AI, along with their use cases would be beneficial.
Experience in finance is a plus but not required.

Requirements:
What You'll Bring
Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution.
7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark.
Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines.
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
Expertise in version control systems (Git), CI/CD practices, and agile methodologies.
Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
Experience in the finance industry is a plus but not required.
Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus.

Requirements:
B.Sc. in Electrical / Computer Engineering from a leading university.
At least 4 years of experience in RT Embedded SW developmen
Experience in one or more of the following - an advantage:
Implementing Mathematical Algorithms in SW
MATLAB / Python
Modem development
DSPs
AI based development tools (s.a Github Co-pilot)
Good interpersonal skills.