לוח משרות דרושים מהנדס תוכנה בכיר בתל אביב יפו, לחיפוש זה נמצאו 119 משרות

Requirements:
5+ years of experience in backend and systems programming (Go / Python / NodeJS / Java / C#)

Cloud internal deep knowledge (AWS / GCP / Azure)

Experience with the design of distributed systems, microservices architectures, and event-based architectures for runtime systems at scale

Experience with Docker / Kubernetes or similar

Ownership, Responsibility and professionalism

Ability to learn quickly and independently

Great interpersonal skills

Requirements:
Passionate team player with minimum 5 years of experience
Expertise with modern programming languages such as Python/C#/Java/Scala/Kotlin/TypeScript/JavaScript
Experience writing code in Agile, CI/CD-based environments
Experience working in a high-growth startup environment
Advantage: Experience working with Big data technologies such as Kafka/Spark/OpenSearch
Advantage: Experience working with Big data formats such as Parquet/Avro/Delta Lake/Iceberg
Experience working on large-scale services based on AWS/Azure/GCP

Requirements:
Passionate team player with minimum 5 years of experience
Expertise with modern programming languages such as Python/C#/Java/Scala/Kotlin/TypeScript/JavaScript
Experience writing code in Agile, CI/CD-based environments
Experience working in a high-growth startup environment
Advantage: Experience working with Big data technologies such as Kafka/Spark/OpenSearch
Advantage: Experience working with Big data formats such as Parquet/Avro/Delta Lake/Iceberg
Experience working on large-scale services based on AWS/Azure/GCP

Requirements:
5+ years of experience in Fullstack development, with a strong background in architecting and building complex & large web applications.
Experience working with React & NodeJS and Typescript.
A deep understanding of the cybersecurity world (Attack & Defense) - big advantage
Experience with blockchain or cryptography - big advantage

Requirements:
10+ years of experience in server-side development (Java/Kotlin - advantage).
Strong expertise in cloud-native technologies, such as Kubernetes, and running workloads on public clouds (AWS, Azure, GCP).
Experience in creating highly scalable system architecture designs and providing review/feedback on designs.
Experience handling a complex, large-scale system.
Experience with microservice event-based systems and related architectures.
Experience with DB design and query optimization.
Strong verbal and written communication skills.
Self-driven with superior organizational and project management skills.
Superior analytical skills with a good problem-solving attitude.
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience - an advantage.
Knowledge of nutrition/metabolism/health - advantage.

Requirements:
5+ 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:
5+ years of software development experience.
Strong proficiency in Go or Python.
Hands-on experience designing data processing systems.
Experience with SQL and NoSQL databases.
Familiarity with testing frameworks and writing test cases.
Collaborative mindset and strong communication skills.
Knowledge of Kubernetes, cloud platforms, or security products (advantage).
BSc in Computer Science or equivalent practical experience (advantage).

Requirements:
What Were Looking For
3+ years of experience in software, ML, or data-related roles
Hands-on experience building and shipping GenAI / LLM systems in production
Strong Python skills
Experience with RAG, agents, fine-tuning, or similar implementations
Experience with LLM providers (OpenAI, Anthropic, Cohere, or open-source)
Experience working in cloud environments (AWS / GCP / Azure), with familiarity in MLOps
Experience leading technical decisions, owning systems, or mentoring engineers
Important Note
Were looking for engineers who have built GenAI systems that went live. Experience limited to research, academic work, or POCs is less relevant. No formal Tech Lead title is required - what matters is what youve actually built, shipped, and owned.

Requirements:
5+ years of experience building cloud-native backend systems using Node.js
Strong JavaScript/TypeScript experience
Experience designing scalable, reliable, and maintainable distributed systems
Strong understanding of APIs, cloud infrastructure, and backend architecture
Experience writing clean, performant, and production-ready code
Experience with observability, monitoring, and production operations
Excellent written and verbal technical communication skills (English)
Preferred Qualifications
Experience with platform engineering or infrastructure/backend platform teams
Experience with CI/CD, DevOps practices, and infrastructure automation
Experience with AWS and cloud-native architectures
Experience with Docker, Kubernetes, or containerized environments
Experience with Git or equivalent distributed revision control systems

Requirements:
What Youll Bring to the Table:

To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge.

Systems Expertise

Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You dont just write code; you design for high throughput, low latency, and long-term maintainability.

Data Engineering Savvy: Youre comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas.

AI & Retrieval

Retrieval Intuition: You understand that "search" is more than just a keyword match. You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch.

RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance.

Technical

Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python.

Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi.

Ownership & Impact

Product Thinking: You don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love.

Ambiguity Navigator: Youre comfortable in a high-growth environment. You prefer "owning a problem" over "executing a ticket."

Bonus Points

Experience building multi-tenant SaaS platforms.

Experience with retrieval evaluation frameworks-knowing how to actually measure "good" search results.

Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps).

Requirements:
BSc in Computer Science or equivalent (required), with an MSc as an advantage.
4+ years of hands-on software development experience, including work with one or more programming languages (Python, Go, Java, etc.).
2+ years of professional Python experience - advantage.
Experience with AWS or other cloud platforms - advantage.
Strong grasp of core software engineering principles: data structures, multithreading, OOP, and design patterns.
Proven experience building and scaling highly available, distributed, large-scale systems.
A fast learner who quickly absorbs new technologies and concepts.
Solid understanding of system design, distributed systems, and software architecture.
Excited about solving algorithmic challenges in transportation, routing, and navigation.
A collaborative team player with excellent communication skills who thrives in fast-paced environments.
Demonstrates strong ownership, driving projects from concept to completion.
Pragmatic and concise: able to break down complex problems into clear, manageable pieces and deliver solutions that are simple, elegant, and impactful.

Requirements:
7+ years as a Backend Developer with strong experience in Node.js, Python, and TypeScript
Strong system design skills and experience building scalable, distributed systems (microservices, event-driven architectures)
Bachelors degree in Computer Science, Software Engineering, or equivalent
Outstanding interpersonal skills
Proven experience designing and building robust RESTful APIs
Solid understanding of database systems (SQL/NoSQL) and performance optimization
Hands-on experience with cloud platforms (AWS preferred), Docker, and Kubernetes
Experience in building scalable and resilient systems using microservices, with expertise in service decomposition, communication patterns (e.g., REST, event-driven), and managing inter-service dependencies
Experience building or integrating AI-powered product features
Independent, autodidact with excellent problem-solving and a passion for learning cutting-edge technologies

Advantage
Previous experience in a fast-paced startup, ideally within a SaaS company, and familiarity with the unique challenges of scaling a product.
Experience with Model Context Protocol (MCP) or similar agent/tooling frameworks
Experience working on infrastructure or core platform teams

Requirements:
To thrive in this role, youll need:
5+ years of experience in Java, infrastructure development, and production-grade systems, with strong end-to-end ownership.
Strong big data expertise, including hands-on work with diverse databases, analytical thinking, and a passion for scaling challenges.
Proven technical leadership, with experience mentoring engineers and collaborating effectively across teams.
Product- and business-driven mindset, with high self-learning abilities and confidence to dive into new domains.
High-impact execution, demonstrating adaptability, accountability, and the drive to deliver results in complex environments.
Bonus points if you have:
Proven experience building and scaling large-scale distributed systems, including Web/JavaScript technologies, Kafka, Docker, and Kubernetes.Strong background in big data platforms, with hands-on experience in NoSQL and distributed databases (Vertica, Cassandra, Elasticsearch, BigQuery), as well as Spark and HDFS.

Requirements:
To thrive in this role, youll need:
Experience developing large scale distributed systems
Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures systems, applications programming and multi threading programming
5+ years programming experience in Java or equivalent Object-Oriented language
Production systems understanding
Experience with SQL and No-SQL
Highly Proficient in Linux environment
Proven ability to work effectively across multiple teams
BS.c in computer science or equivalent experience
Bonus points if you have:
Experience in Big Data tools
Knowledge in algorithms, data-mining and machine learning.

Requirements:
5+ years of experience with C++ 14 (or later).
Familiarity with operating system concepts, Windows/Linux internals, and kernel/driver development.
Proven experience in building multithreaded applications to enhance software performance.
Knowledge of integrating and utilizing third-party libraries, including Boost, Protobuf, and others.
Strong debugging skills, including the ability to identify and rectify race conditions and memory leaks.
Capable of conducting code reviews with a focus on design and quality, contributing to a high-standard codebase.
Understanding of low-level assembly to delve into software internals.
Problem-solving abilities.
Analytical thinking.
Ability to work well in a team.