לוח משרות דרושים מהנדס תוכנה בתל אביב יפו, לחיפוש זה נמצאו 357 משרות

Requirements:
Youve been building software for 5+ years and still love the craft. Whether its Python, TypeScript, or another high-level language, you pick up the right tool for the job. More importantly, you learn fast and adapt even faster. Youve lived the chaos of a startup and know how to turn ambiguity into action. And when it comes to the cloud, youve shipped real products on AWS or GCP and understand what it takes to run SaaS in production. Its even better if youve tinkered with LLMs or built data pipelines, or if Kubernetes doesnt scare you. But none of these are deal-breakers. What matters most is your curiosity, adaptability, and hunger to build.

Requirements:
6+ years of experience as a Backend Developer with proven experience in developing an enterprise-grade SaaS platform.
Production experience with Golang / Java / Scala / C# (Golang is an advantage).
Experience in designing and maintaining scalable, fault-tolerant system architectures.
Familiarity with various database technologies and microservices architecture.
Familiarity with containerization technologies (e.g., Docker, Kubernetes) and Public Cloud Services (preferably AWS).
Effective communication skills to articulate technical concepts in a clear and efficient manner.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Requirements:
10+ years of experience in Linux kernel C programming.
Proven experience with Linux internals sub-components, such as networking subsystems, storage & file systems, computational resources, virtualization and isolation.
Strong foundation in testing, debugging, and monitoring software products in production environments.
Background in block-level storage and file systems - advantage.
Experience in C++ for user-space components - advantage.

Requirements:
Minimum 4 years of experience in modern Fullstack technologies
Strong proficiency in TypeScript and React, or other web frameworks and Python on the backend
Experience writing unit tests
Experience addressing performance issues, both in web apps and backend systems
Familiarity with state management libraries
Ability to solve complex technical challenges with autonomy, strong design sense, and analytical skills
A mindset that challenges the status quo, always seeking workflow improvements
Proficiency in creating and maintaining reusable, maintainable components
Experience writing unit tests
Ability to learn and adapt to new technologies and languages.

Requirements:
5+ years of experience in DevOps, DevSecOps, or Platform Engineering.
Strong Linux experience and scripting or development skills in Python or Go.
Production experience with AWS, EKS, and Kubernetes.
Hands-on experience securing cloud and Kubernetes environments.
Experience with Terraform and infrastructure-as-code practices.
3+ years of experience with CI/CD processes and tools, preferably GitHub Actions.
Strong knowledge of IAM, networking, secrets management, and workload security.
Experience with vulnerability management and cloud security tools such as Wiz.
Experience with Datadog, OpenTelemetry, log analytics, and distributed tracing.
Experience designing and maintaining highly available, large-scale SaaS environments.
Experience handling production and security incidents.
Strong ownership, collaboration, and customer-centric approach.

Requirements:
4+ years of experience building production backend or full-stack systems.
Strong TypeScript and Node.js skills, or deep experience in a comparable stack and the will to switch.
Solid grasp of distributed systems, APIs, databases, and event-driven architectures.
Bias for shipping: pragmatic, fast, and rigorous where it matters.
Bonus: experience with real-time audio or streaming, telephony (SIP, WebRTC), or LLM-powered products.

Requirements:
2+ years of full-stack engineering
Strong TypeScript and React skills
Experience with REST and gRPC APIs
Good intuition for developer UX and interface design
Bonus: Next.js and Tailwind, Go for backend and CLI work, Protobuf and gRPC.

Requirements:
2+ years of ML engineering or applied ML research
Deep familiarity with HuggingFace transformers
Experience running inference servers (vLLM, TGI, or Triton)
Python and CUDA fundamentals
Understanding of quantization (AWQ, GPTQ, GGUF)
Bonus: GRPO/RLHF/DPO training, GPU workloads on Kubernetes.

Requirements:
3+ years of software engineering with a focus on tooling or DX
Strong TypeScript, with sharp instincts for API and CLI design
Experience shipping and versioning developer-facing libraries
Care for docs, examples, and the first-five-minutes experience
Bonus: Electron, Go for CLI tooling, npm/registry publishing pipelines.

Requirements:
You're Our Person If...
8+ years of development experience as a software engineer.
Deep knowledge of object-oriented programming and other scripting languages: Java, Python, Scala C#, Go, Node.JS and C++.
Strong SQL skills and experience with relational and non-relational databases e.g. (Postgres/Trino/redshift/Mongo).
Experience with developing SAAS products over public cloud infrastructure - AWS/Azure/GCP.
Proven experience designing and developing distributed systems at scale.
Proficiency in queues, locks, scheduling, event-driven architecture, and workload distribution, along with a deep understanding of relational database and non-relational databases.
A demonstrated, genuine AI-first approach to engineering - using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows.
Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
A deeper understanding of software development best practices and demonstrate leadership skills.
Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.).


Even Better If...
Technical expertise in Generative AI, particularly with RAG systems and Agentic workflows that use large language models.
Experience with Big-Data/ML and S3.
Hands-on experience with Streaming technologies like Kafka.
Experience with Elastic Search.
Experience with Terraform, Kubernetes, Docker.
Experience working in a high-paced and rapidly growing multinational organization.

Requirements:
You're Our Person If...
You have 10+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
You have a degree in Computer Science or a related field
You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
You have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.
You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
You have an entrepreneurial, get-things-done mindset focused on fast, impactful delivery - and the judgment to know when "fast" is the wrong call.
You've mentored technical talent and created reusable assets - frameworks, playbooks, internal tooling.
You communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders.
You actively tinker with the evolving AI/data landscape - piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
Ability to travel to customer sites as needed to ensure client success
High level of proficiency in Hebrew and English.


Even Better If...
Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect).
Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks.
Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers.
Track record of influencing enterprise software product roadmaps through field engineering insight.
Open-source contributions, published technical writing, or conference presentations.

Requirements:
Strong builders mindset - balancing deep system thinking with practical, hands-on delivery.
10+ years of full stack system architecture and complex platform engineering experience.
Deep expertise designing distributed, composable, and extensible systems across frontend and backend environments.
Strong hands-on skills with frontend frameworks (e.g., React, Next.js) and backend systems (e.g., Node.js, Python, Go, microservices, event-driven architectures).
Proven experience integrating and operationalizing AI-assisted development tools (e.g., GitHub Copilot, Cursor) into engineering workflows.
Experience building plugin frameworks, extension systems, or developer platforms that emphasize modularity and scalability.
Track record of defining and promoting engineering best practices - especially in the context of AI-driven development.
Demonstrated technical leadership - mentoring engineers, shaping architecture standards, and driving adoption of new paradigms.

Requirements:
Bachelor's degree in Computer Science, AI, Machine Learning, or a related field.
Proven experience in developing machine learning models and employing GenAI.
solutions in a production environment.
5 - 7 years of experience working in Python, R, or a similar language.
Experience with data processing and machine learning frameworks such as TensorFlow, Keras, or PyTorch.
Familiarity with Jira or similar platforms and an understanding of software development and security processes.
Excellent problem-solving skills and the ability to work in a dynamic, fast-paced
environment.

Requirements:
Bachelor's degree in Computer Science, Software Engineering, or a related field.
7-10 years of experience in backend development, with a focus on building scalable and high-performance systems.
Strong proficiency in Python.
Strong experience working with AWS and containerization tools like Docker and Kubernetes.
Expertise in designing and working with relational and NoSQL databases (e.g., PostgreSQL, MongoDB).
Understanding of RESTful API design, microservices architecture, and event-driven systems.
Knowledge of cybersecurity principles and practices, with an emphasis on securing backend systems.
Excellent problem-solving skills and the ability to work in a dynamic, fast-paced environment.
Experience working in a cyber security company is an advantage.