דרושים | עבודה | חיפוש משרות תוכנה

Requirements:
B.Sc. At Information Systems (or similar)
Minimum of 5 years experience as BI/Data Analyst in a global company
Strong hands-on experience with Power BI
Proficiency in SQL and data querying
Strong knowledge of data governance principles, data quality, and metadata management.
Strong data modeling skills, with the ability to translate complex business requirements to technical design and data models
Proven experience in a modern cloud data stack, specifically Snowflake and DBT.
Excellent communication and collaboration skills (team player)
Strong business understanding around finance, commercial & operations practices, in a global company
Strong analytical and problem-solving skills, with attention to detail.

Requirements:
Proven track record of execution: 5+ years of engineering experience and a track record of shipping real, impactful product.
Startup energy: You like rolling up your sleeves, moving fast, and figuring things out. You dont need a 30-page spec to start building.
Curiosity and collaboration: You care about learning, user impact, and making the people around you better.
Pragmatic problem-solving: You love tackling ambiguous problems, breaking them down, and shipping smart solutions without over-engineering.‍
Clear communication: You can explain technical decisions in plain language, listen well, and adapt fast.

Requirements:
Proven track record of execution: 5+ years of engineering experience and a track record of shipping real, impactful product.
Startup energy: You like rolling up your sleeves, moving fast, and figuring things out. You dont need a 30-page spec to start building.
Curiosity and collaboration: You care about learning, user impact, and making the people around you better.
Pragmatic problem-solving: You love tackling ambiguous problems, breaking them down, and shipping smart solutions without over-engineering.
Clear communication: You can explain technical decisions in plain language, listen well, and adapt fast.
Backend: JavaScript, express, postgresql. Frontend: JavaScript, React
Knowledge in AWS + Azure.

Requirements:
At least 6 years of experience as a DevOps/SRE engineer in a cloud environment
Hands-on, production-level AWS experience.
Hands-on production experience with Kubernetes and containerization
Experience with Terraform/Terragrunt (or similar Infrastructure-as-Code tools) - required
Strong Bash scripting skills
Deep understanding of SRE principles: SLOs, SLIs, error budgets, toil reduction, blameless post-mortems
Strong incident management / on-call experience
Solid understanding of APIs, microservices, and distributed systems
Demonstrated experience leading a project end-to-end, from defining success criteria through delivery and measurement
Communicates effectively across teams and can drive long-term technical planning
Practical experience with AI-assisted engineering tools (e.g., Claude, Cursor) and MCP-style integrations is a strong plus
Experience building AI/ML infrastructure (model deployment, inference pipelines)-plus.

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:
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:
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:
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:
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:
Required Skills and Experience :
A Ph.D. (or equivalent experience) in computer science, electrical engineering, or a related STEM field with a focus on artificial intelligence.
A proven track record of academic publications in credible conferences or journals, such as ICML, ICLR, NeurIPS, CVPR, ICCV/ECCV, ICRA, IROS.
Nice To Have Skills and Experience :
Experience working with edge devices.
Experience with simulation environments for audio, robotics, or related AI applications.

Requirements:
Required Skills and Experience:
B.Sc. or higher in Electrical Engineering, Computer Engineering or Computer Science.
8+ years of experience in hardware verification of complex digital designs or SoCs.
Strong experience with SystemVerilog and UVM.
Hands-on experience developing and maintaining AI-powered tools, agents, and skills, including prompt design, evaluation, and integration into engineering workflows.
Solid understanding of constrained-random and coverage-driven verification methodologies.
Experience developing reusable verification environments and testbenches.
Good scripting skills using Python, Perl or similar languages to support automation.
Strong debugging and problem-solving skills with a system-level approach.
Excellent communication and collaboration skills, with the ability to work effectively across multi-disciplinary engineering teams.
"Nice To Have" Skills and Experience:
Experience verifying GPU architectures or other complex graphics or multimedia IP.
Experience with Arm-based processors or Arm IP.
Knowledge of formal verification or Design for Verification (DFV) techniques.
Experience with logic design or microarchitecture.
Familiarity with continuous integration systems and verification automation frameworks.

Requirements:
* Bachelor’s degree in Engineering – required.
* At least 5 years of experience managing complex projects in software-intensive, technology, or product development companies – required.
* Proven experience managing projects that involve software development, systems integration, or multidisciplinary technological products.
* Experience working in a matrix organization with cross-functional engineering and business teams.
* Strong understanding of software development lifecycles, project methodologies, and project management tools.
* Demonstrated ability to manage multiple projects, priorities, stakeholders, and interfaces simultaneously.
* Proven experience in managing project budgets, schedules, risks, dependencies, and customer deliverables.
* Strong negotiation, problem-solving, decision-making, and conflict-resolution skills.
* Excellent communication, interpersonal, organizational, and presentation skills.
* High level of ownership, service orientation, and commitment to delivering results.
* Ability to work effectively in a dynamic, complex, and fast-paced environment. Experience in one or more of the following environments is highly relevant:
* Defense and aerospace
* Software and technology companies
* Automotive and mobility
* Robotics and autonomous systems
* Industrial automation
* Embedded and real-time systems
* Complex multidisciplinary product development
* Experience in the defense sector and in managing projects for international customers is an advantage.

Requirements:
Passion to own and deliver - you take full responsibility for your work and drive features from idea to production
Curiosity and adoption of AI coding tools - you actively use tools like Cursor or Claude Code and are excited about how AI is transforming software development
6+ years of professional experience building production systems across frontend and backend
Strong backend skills with Python and modern frameworks
Experience with React.js and building complex, performant UIs
Exceptional problem-solving skills with a keen eye for detail
You actively use AI tools in your day-to-day work and are excited about their potential
Ability to quickly learn new technologies and thrive in unfamiliar domains
Strong communication skills, effective in a fast-paced startup environment
Bonus Points
Experience building LLM-powered applications or working with AI APIs
Familiarity with AWS infrastructure and cloud-native architectures
Previously founded a startup or have early-stage startup experience.

Requirements:
4+ years of hands on experience in GTM engineering, growth engineering, RevOps engineering, sales automation, or a highly technical growth role
Proven experience building production workflows using tools such as Clay, Attio, Smartlead, HeyReach, Zapmail, PostHog, n8n, and Zapier
Strong experience with REST APIs, webhooks, authentication, JSON, databases, and third party integrations
Ability to write code, ideally Python and/or JavaScript, and build custom solutions when automation platforms are not enough
Experience working with LLM APIs and building practical AI or agentic workflows
Experience building outbound systems at meaningful scale, including enrichment, personalization, sequencing, deliverability, and data hygiene
Strong understanding of CRM architecture, objects, lifecycle stages, lead routing, attribution, and reporting
Ability to take a vague business problem and independently design, build, test, and deploy the solution
Someone who can show us systems and automations they personally built and explain exactly how they work
You'll be a strong fit if you've built things like
A Clay workflow that discovers, enriches, scores, and routes target accounts automatically
An outbound system connecting Clay, Smartlead, HeyReach, and CRM data
An n8n workflow connecting multiple APIs, transforming data, applying AI logic, and triggering downstream actions
Custom API integrations between systems that don't have native connectors
AI generated personalization based on company, persona, intent, or product signals
PostHog based triggers that identify high intent accounts and automatically create GTM actions
Agents that research accounts, summarize opportunities, draft outreach, or recommend next steps
Internal tools that removed hours of repetitive work from a sales or marketing team.

Requirements:
What You Bring
Technical Proficiency: Strong experience with modern web frameworks (React is our core, plus familiarity with others like Vue or Angular).
Full-Stack Mindset: Solid understanding of modern backend services (Node.js, etc.) and database management.
Problem-Solving: Proven ability to break down complex challenges into clean, maintainable, and efficient code.
Passion for Product: You love creating, experimenting, and growing in an environment where creativity and technology intersect.
Communication: Excellent teamwork skills, with the ability to communicate effectively with clients and cross-functional teams.

Requirements:
What You Bring
Background in product and project management, preferably in a tech-oriented or creative environment.
Strong ability to translate high-level vision into actionable specifications and processes.
A data-oriented mindset, with experience using analytics to drive process improvement.
Excellent communication skills, with the ability to lead cross-functional teams and manage client relationships.
Resilience and adaptability - you thrive in a fast-paced, dynamic environment.
Experience managing both continuous delivery and large-scale project implementations.

Requirements:
What You Bring
Bachelor's degree in Computer Science, Engineering, or a related field.
Minimum of 3 years of professional experience in mobile development.
Proven track record delivering mobile applications on iOS, Android, and/or React Native.
Strong proficiency in JavaScript and React Native frameworks.
Experience with state management libraries such as Redux.
Solid understanding of RESTful APIs and integration.
Familiarity with version control systems (e.g., Git).
Excellent problem-solving and debugging skills, with strong communication and collaboration skills.
Ability to work independently and as part of a collaborative team.

Requirements:
Extensive hands-on software development experience
Deep backend development experience with .NET Core.
Solid production experience building frontends in React.
Proven experience building - and deeply understanding - microservices / distributed-systems architectures.
Extensive experience designing and developing REST APIs.
Strong process thinking: complex workflows, data processing, multi-threading.
Hands-on experience with Kafka (event streaming / message broker) and Redis (caching / in-memory data store).
Experience in OpenShift / Kubernetes environments.
Hands-on experience working with Claude Code (or a similar AI coding assistant) as part of your everyday development workflow.
Personal skills: a broad system view with the ability to dive into details; high independence and end-to-end ownership; strong problem-solving in complex technologies and architectures.

Requirements:
What You Bring
Proven experience as a Software/Solution Architect with a senior-developer background - still hands-on in design and code.
Deep, hands-on involvement in legacy-to-modern migrations or large-scale system integrations that reached production.
Experience designing modern cloud architectures - microservices and event-driven systems (Kubernetes/Kafka - Advantage).
Experience working with large enterprise organizations, with a strategic, people-oriented approach to shaping architectural initiatives (financial sector - Advantage).
Excellent communication skills.
Experience delivering AI/LLM-based systems - Advantage.