לוח משרות דרושים מהנדסים במרכז, לחיפוש זה נמצאו 2,313 משרות

Requirements:
Bachelors degree in Computer Science or a related technical field.
1-3 years of software engineering, implementation engineering, technical consulting, or equivalent hands-on experience.
Strong programming fundamentals, preferably using Python, or another backend language.
Apply an AI-first approach to problem solving, leveraging AI tools to accelerate development, debugging, and solution design while maintaining strong judgment.
Basic experience building or consuming REST APIs.
Working knowledge of SQL and relational databases.
Ability to debug technical problems methodically.
Strong communication skills and comfort speaking with technical customers.
Ability to learn unfamiliar systems quickly.
Organized, dependable, and comfortable managing multiple tasks.
Willingness to work across coding, customer communication, testing, deployment, and support.
Nice to Have:
Experience with enterprise software integrations.
Experience with cloud platforms, Docker, CI/CD, or production monitoring.
Experience in cybersecurity, identity, IT systems, or enterprise SaaS.
Previous customer-facing engineering, support engineering, or implementation experience.

Requirements:
5+ years of experience in Product Management within the B2B SaaS space (Cybersecurity experience is a must).
Proven experience in a fast-growing startup environment, ability to thrive in ambiguity and adapt to rapid changes.
Deep understanding of the cybersecurity ecosystem and modern cloud environments (AWS/Azure/GCP).
A strong eye for design and user experience. Experience building products that are customer facing and intuitive, despite their technical complexity.
Familiarity with AI driven products or agent-based systems.
Ability to take the complex and make it simple whether you're talking to a developer or a C-level executive.
Previous experience as a Software Engineer is an advantage.

Requirements:
5+ years hands-on backend / full-stack- MUST
Strong system design fundamentals: data modeling, scale, resilience, trade-offs- MUST
Versatility across the stack, with real experience owning services in production on cloud infrastructure- MUST
Daily, practical use of AI coding agents beyond prompting: context management, planning, skills/commands, MCP- MUST
Proven end-to-end ownership of complex projects- MUST
Experience in Cybersecurity, data security, or data-heavy platforms- Advantage
Built AI-native features in production: LLM pipelines, agents, evals- Advantage

Requirements:
5+ years of experience in Windows Kernel Engineering
Experience in building Windows/Mac agents
Background in the cybersecurity industry- Advantage!
Technologies:
Windows Kernel / Windows Internals
Filesystem Minifilters
Filesystem Drivers
C / C++
WinDbg
WDK
Visual Studio
Go

Requirements:
4+ years of experience in technical project management, implementation management from technologies companies - A must.
Proven hands-on experience as a Software Developer, with a strong understanding of software development processes and technical architecture - A must.
Strong technical foundation, comfortable discussing APIs, integrations, system architecture, and workflows with engineers and customers.
Proven experience working directly with enterprise customers on complex technical projects.
Excellent communication and stakeholder management skills, with a customer-first mindset.
Highly organized, proactive, and comfortable managing multiple parallel initiatives.
Thrive in fast-paced, ambiguous environments and enjoy being the connective tissue between teams.

Requirements:
You have 5+ years of engineering experience, 3+ of them building real products across both frontend and backend.
You're strong in at least one modern typed language and ecosystem: TypeScript, Python, Go, Java, C#. We write TypeScript, and we expect you to be productive in it fast, but we hire for how you think, not for which language you last used.
You're genuinely full-stack - you can debug a React render, a slow query, and a stuck queue in the same day.
You know relational databases properly: schema design, indexes, transactions, and what happens under concurrency.
You've worked with distributed systems and know where the race conditions hide.
You're product- and solution-oriented - you ask what the customer is trying to do before you ask what to build.
You can take a vague, complex problem and turn it into an architecture that Just Works.
You care about your teammates, and you're looking to both learn and teach.
You work AI-natively. You use coding agents seriously, and you build the things that make them useful - skills, agents, evals, internal tooling, context that makes the whole team faster. This is how we work, not a side project.
You believe a small, dedicated team beats a big one.
You've built LLMs in production - not a demo, but something with evals, guardrails, and regression testing behind it.
You've worked in a regulated or high-stakes environment where auditability wasn't optional.
You take pride in frontend architecture - accessible, responsive, fast components.
An early-stage startup is what you're actively looking for: hard work, processes that aren't fully defined, and a lot of freedom.

Requirements:
5 + years of hands-on software-engineering experience.
Proven record of shipping real user-facing products end-to-end.
Proficiency with JavaScript, Node.js, Vue\React and PostgreSQL.
Strong communication skills and a product mindset.
Ownership mentality - comfortable taking a feature from idea to production.
Nice to Have:
Experience working with AI or LLM-based applications.
Experience working with B2B or enterprise customers.

Requirements:
7+ years of software engineering experience
Strong hands-on experience with Node.js, TypeScript, and modern frontend frameworks
Deep experience designing scalable production systems and distributed architectures
Strong architectural thinking combined with a builder mentality
Experience working with enterprise customers or large-scale deployments
Experience building AI/LLM-powered products or platforms
Excellent communication skills and ability to lead technical conversations with both engineers and executives
High ownership mentality and ability to operate independently in ambiguous environments
Someone equally comfortable writing code, designing systems, and speaking with customers

Requirements:
4+ years in a Sales Engineer, Solutions Consultant, Data Consultant, or Marketing Analytics role.
Experience working with marketing data, attribution models, MMM, or growth analytics. (Adtech, Marketing Tech)
Experience presenting technical concepts to non-technical audiences.
Strong analytical thinking and ability to understand statistical models.
Excellent communication and storytelling skills.
Ability to translate complex ideas into simple explanations.
Comfortable presenting to senior marketing leaders.
Familiarity with marketing measurement methodologies such as:
Incrementality testing
Marketing Mix Modeling
Attribution models

Requirements:
7+ years of professional experience in backend software development (Python preferred) with a strong focus on data-related projects.
Proven experience working in microservices environments and cloud platforms.
Expertise in distributed applications and systems.
Create large-scale data processing pipelines to help developers build and train novel machine learning algorithms. (Pandas, NumPy, Dask, Argo).
Deep understanding of relational databases, data warehouses, advanced knowledge of SQL for crafting efficient queries
Hands-on experience in bringing applications to production and maintaining production environments.
Strong problem-solving skills, with a passion for troubleshooting and optimizing complex systems.
Familiarity with containerization technologies like Docker and Kubernetes.
Strong communication and collaboration skills, with a track record of working effectively in cross-functional teams.
Comfort with experimenting and adopting new technologies to stay ahead of the curve.
Familiarity with DevOps practices and tools to support the full development lifecycle.
Ability to multitask, prioritize, and manage time effectively in a fast-paced environment.

Requirements:
7+ years of professional experience in backend software development (Python preferred) with a strong focus on data-related projects.
Proven experience working in microservices environments and cloud platforms.
Expertise in distributed applications and systems.
Create large-scale data processing pipelines to help developers build and train novel machine learning algorithms. (Pandas, NumPy, Dask, Argo).
Deep understanding of relational databases, data warehouses, advanced knowledge of SQL for crafting efficient queries
Hands-on experience in bringing applications to production and maintaining production environments.
Strong problem-solving skills, with a passion for troubleshooting and optimizing complex systems.
Familiarity with containerization technologies like Docker and Kubernetes.
Strong communication and collaboration skills, with a track record of working effectively in cross-functional teams.
Comfort with experimenting and adopting new technologies to stay ahead of the curve.
Familiarity with DevOps practices and tools to support the full development lifecycle.
Ability to multitask, prioritize, and manage time effectively in a fast-paced environment.

Requirements:
Qualifications:
7+ years of professional experience as a software engineer with frontend and backend development.
Experience working with at least one of the following frameworks: React/Vue/Angular.
A deep understanding of production systems and the architecture of web products.
Excellent knowledge of JavaScript/html5/CSS.

Bonus points:
Independent, fast learner, and excited about learning new technologies.
Proactive team player with a desire to impact our team, our product, and our customers.
1+ years of experience with Node.js is a big advantage.