לוח משרות דרושים הייטק תוכנה בתל אביב יפו, לחיפוש זה נמצאו 1,595 משרות

Requirements:
Must:
At least 3 years of hands-on development experience
Embedded SW engineering background (academic or professional)
Demonstrated proficiency in C programming.
Excellent system level understanding and debugging skills.
Fast and independent learning
Strong advantage:
Experience in image processing
Develop both CPU and GPU SW modules for various SoC architectures
Experience in AI applications
Experience in Automotive.

Requirements:
8+ years of hands-on experience in embedded systems and C/C++ development
Proven leadership experience: at least 2-3 years leading a small to medium-sized engineering team (technical mentorship and people management)
Deep technical expertise in:
Embedded Linux/RTOS environments
Real-time signal processing and memory management
Developing for heterogeneous architectures (CPU, GPU, MCU)
Familiarity with software architecture principles and Git-based development workflows
Strong communication skills with the ability to bridge technical and product needs
Mindset: "Startup-ready"-flexible, solution-oriented, and comfortable working in a fast-paced environment
Advantage: Experience in the automotive industry (ASPICE, AUTOSAR, ISO 26262) or AI-acceleration software

Requirements:
8+ years of professional software engineering experience.
Strong backend development experience with Node.js, Python, or similar technologies.
Proven experience building and operating scalable SaaS platforms.
Experience using AI coding tools (Claude, Cursor, Copilot) to design, prototype, and ship features, leveraging AI-native workflows to accelerate development.
Hands-on experience with microservices architecture, APIs, and AWS cloud infrastructure.
Experience building or integrating AI/LLM-powered systems or AI-driven product features.
Familiarity with modern development practices including CI/CD pipelines, containerized environments, and cloud-native deployment.
Strong problem-solving skills, technical judgment, and clear communication.

Requirements:
4+ years of experience in backend / software engineering, with proven experience designing and developing high-performance, distributed systems
Strong proficiency in Python and Node.js
Proven experience working in cloud environments (AWS preferred; GCP/Azure acceptable)
Hands-on experience with microservices, containerized environments (Kubernetes), and CI/CD pipelines (GitHub Actions)
Experience with message queuing and streaming systems such as Kafka and/or SQS
Strong understanding of SQL and NoSQL databases, large-scale data flows, and data-driven systems
Experience in developing and deploying LLM agents to production (via Langgraph, Langchain, etc.)
Strong collaboration and communication skills, both Hebrew & English.

Requirements:
What you'll need:
7+ years of production backend or data infrastructure experience.
Excellent teamwork and communication skills, with a demonstrated ability to explain complex systems and facilitate collaborative solutions.
Deep experience with stream processing systems (Flink, Kafka, or equivalents) at production scale, including failure modes, recovery, and operational burden.
Strong distributed systems instincts: you think about correctness and reliability before you think about features.
Experience with data quality or observability infrastructure. You've built or owned the systems that keep a data platform honest.
Internal product mindset: you treat the teams you serve as customers and make deliberate choices about what to build vs. what not to build.

It'd be really cool if you also:
Have worked with data contracts, schema registries, or data governance tooling.
Have experience with JVM languages (Scala, Java, Kotlin) and big data DBs (Aerospike/elasticsearch/etc).
Have contributed to agentic or LLM-adjacent infrastructure. You understand what "data quality for agents" actually means in practice.
Have operated at a team technical anchor level in a small, high-scope team where breadth of ownership is the norm.

Requirements:
What you'll need:
10+ years of experience building backend systems in large-scale production environments, with at least 2 years as a Staff Engineer or equivalent level.
Strong programming skills in Python, Java, Kotlin, or Node.js.
Hands-on experience with cloud-native technologies (AWS, Kubernetes, Docker).
Proven ability to design and maintain high-scale distributed systems
Strong sense of ownership, autonomy, and accountability.
Excellent communication skills, with the ability to explain complex systems clearly to both technical and non-technical audiences - including direct collaboration with customers worldwide.

It'd be cool if you also have:
Experience with API Gateway architectures, schema/versioning strategies, or platformization efforts.
Familiarity with real-time data processing frameworks (e.g., Flink, Storm) and resilience patterns.
Background working alongside data science or machine learning teams.
Contributions to developer platforms, infrastructure services, or internal tools improving engineering velocity.

Requirements:
What you'll need:
5+ years of experience managing business critical teams.
IC experience as Staff+ Engineer or Tech Lead.
Experience overseeing big projects that have technical and/or business risks.
Experience working in performance critical environments (high scale, demanding SLAs).

It'd be cool if you also have:
Experience managing Staff+ engineers.
Experience working on customer-facing technical products (APIs, CLI tools, dashboards).
Experience interacting with clients and prospects.

Requirements:
What you'll need:
6+ years building and maintaining complex software systems.
6+ years backend experience, with a strong focus on production-grade systems.
1+ years JavaScript experience.
Hands-on experience with critical production systems - high availability, reliability, and scalability.
Familiarity with browser, networking, and security concepts.
Product, production, and growth mindsets.
Passion for solving technical challenges that directly impact users and operations.
Strong communication, collaboration, and problem-solving skills.
Can-do attitude with ownership mentality.
Professional-level spoken and written English.

It'd be cool if you also have:
Extensive experience with Node.JS.
Experience leading cross-team initiatives.
Frontend / React / Mobile experience.
Significant experience with databases/datastores (MySQL, Redis, ElasticSearch).
Experience from previous payments companies / projects.

Requirements:
What you'll need:
8+ years of experience building backend systems in large-scale production environments.
Strong programming skills in Python, Java, Kotlin, or Node.js
Hands-on experience with cloud-native technologies (AWS, Kubernetes, Docker).
Proven ability to design and maintain high-scale distributed systems
Strong sense of ownership, autonomy, and accountability.
Excellent communication skills, with the ability to explain complex systems clearly to both technical and non-technical audiences - including direct collaboration with customers worldwide.

It'd be cool if you also have:
Experience with API Gateway architectures, schema/versioning strategies, or platformization efforts.
Familiarity with real-time data processing frameworks (e.g., Flink, Storm) and resilience patterns.
Background working alongside data science or machine learning teams.
Contributions to developer platforms, infrastructure services, or internal tools improving engineering velocity.

Requirements:
What you'll need:
8+ years of production backend or data infrastructure experience, with at least 2 years at Staff Engineer or equivalent level
Excellent teamwork and communication skills, with a demonstrated ability to explain complex systems and facilitate collaborative solutions.
Deep experience with stream processing systems (Flink, Kafka, or equivalents) at production scale, including failure modes, recovery, and operational burden.
Strong distributed systems instincts: you think about correctness and reliability before you think about features.
Experience with data quality or observability infrastructure. You've built or owned the systems that keep a data platform honest.
Internal product mindset: you treat the teams you serve as customers and make deliberate choices about what to build vs. what not to build.

It'd be really cool if you also:
Have worked with data contracts, schema registries, or data governance tooling.
Have experience with JVM languages (Scala, Java, Kotlin) and big data DBs (Aerospike/elasticsearch/etc).
Have contributed to agentic or LLM-adjacent infrastructure. You understand what "data quality for agents" actually means in practice.
Have operated at a team technical anchor level in a small, high-scope team where breadth of ownership is the normv.

Requirements:
At least 10 years of proven experience in:

.NET Core, C#, Web API, and Entity Framework Core
Experience with multithreading, caching mechanisms and message queue systems
Object-oriented programming, design patterns and principles
Designing and developing multithreaded and asynchronous applications
Hands-on experience with Docker and containerized deployments
Cloud platforms (AWS preferred, Azure acceptable) and microservices architecture
Message queues and distributed application design
RDBMS (MS SQL Server), ADO.NET, database design, and TSQL including complex Stored Procedures and query optimization, MongoDB
Excellent English communication skills
Great teamwork skills, with the ability to work remotely and assume responsibility independently

Requirements:
5+ years in ML roles with demonstrated production impact
Advanced degree (MS/PhD) in a quantitative field, or equivalent industry depth
Deep expertise in mathematical optimization - convex, constrained, and gradient-based methods
Hands-on experience with Bayesian or hyperparameter optimization
Strong causal inference skills - propensity scoring, uplift modeling, or experimental design
Applied ML experience in optimization domains: pricing, bidding, or resource allocation
Advanced time series modeling for dynamic, decision-making systems
Proven experience deploying and monitoring real-time ML models in production
Familiarity with experiment tracking, model versioning, and performance monitoring

Requirements:
Who Are You?
7+ years of experience as a software engineer, with deep expertise in full-stack development, including strong command of modern backend technologies (Node.js, TypeScript) and frontend frameworks (e.g., React, Next.js).
Demonstrated track record as a go-to technical expert: you have led complex multi-system initiatives, set architectural standards, and influenced technical direction across teams.
Experience building customer-facing products and working closely with product managers and customer facing stakeholders. You think instinctively about user impact - not just technical correctness.
Hands-on production experience operating data systems at high scale - billions of records.
You are comfortable working with Redis, Kafka, SQS, Elasticsearch, MySQL, and Snowflake. You know how to design efficient data-access layers, work with sharded and partitioned systems, optimize schema and query performance under load, and build reliable ingestion and transformation pipelines.
Strong familiarity with cloud-native environments. AWS experience is a significant advantage.
Experience building products or workflows powered by LLMs or Agentic AI.
Experience enabling and mentoring engineers on your team.
Excellent communication and collaboration skills. You can discuss architecture with engineers, align on roadmap with product managers, and explain tradeoffs to non-technical stakeholders.
Experience using modern AI development tools such as Claude, GitHub Copilot, or similar to accelerate development and improve quality.
Proven ability to self-manage, work autonomously, and drive projects forward without heavy oversight.

It Would be Really Cool if you Also Have:
Deep experience with designing or maintaining high-scale data pipelines, including streaming, batching, or real-time enrichment workflows.
Experience with micro-services or micro-frontend ecosystem architectures.
Experience leading workshops, sharing knowledge internally, or driving community practices.
Experience participating meaningfully in recruiting - crafting interview questions, conducting technical interviews, and contributing to hiring decisions.

Requirements:
The Technical Foundation: Strong background in core frontend development (HTML5, CSS3, vanilla JavaScript). You must be completely comfortable looking at, writing, and debugging web code.
The Growth Shift: Experience in a Growth, CRO, or digital production role where your success was measured by hard conversion metrics (CVR, CTR), not just task completion.
CMS Execution: Direct experience authoring, structuring, and launching digital assets within enterprise CMS platforms (Sitecore experience is highly advantageous)[cite: 1, 2].
AI Tool Pro: Mastery of prompt engineering and AI development workflows to accelerate layout generation and asset production.
Speed & Autonomy: An entrepreneurial mindset. You thrive on being the single bottleneck-remover who can turn an idea into a live, multi-geo web asset in the same day.

Requirements:
5+ years of strong backend and server-side development experience, building complex, highly scalable systems.
Proven experience with at least one general-purpose language (preferably Python, but not a must).
Strong product management skills, with the ability to gather and refine requirements from non-technical internal users.
A strong sense of ownership, with some DevOps experience and a willingness to develop, deploy, and run projects end-to-end.
Solid understanding of GenAI, LLMs and foundation models.
Strong familiarity with AI coding tools like Claude Code, Github Copilot, Cursor, or similar.
Hands-on experience with building AI-driven workflows, agentic frameworks, evals, RAGs, MCPs, skills, etc.
Experience working with public clouds (AWS / GCP / Azure).
Fluent in written and spoken English.