דרושים » תוכנה » Senior Software Engineer

Requirements:
BSc in Computer Science or equivalent experience.
7+ years of experience building and shipping production software, with a strong track record of owning features or systems end-to-end.
Strong system design fundamentals and experience building scalable SaaS systems in the cloud.
Ability to make sound architectural decisions independently and understand technical trade-offs.
Solid understanding of REST APIs, asynchronous programming, distributed systems, microservices, and testing.
Hands-on experience with AI coding tools such as Claude Code, Cursor, Codex, GitHub Copilot, or similar.
Strong ability to review, challenge, and improve AI-generated code rather than relying on it blindly.
Strong product mindset, with the ability to balance technical and business priorities and focus on solving the underlying problem.
Strong ownership mentality and ability to drive work independently from idea to production.
Excellent communication skills and high proficiency in English, with the ability to work directly with Product and engineering teams.

Requirements:
What You Bring
Your Mindset:
A Builder at Heart: You love creating new things, experimenting with ideas, and turning ambiguity into working software. You proactively identify opportunities, take initiative, and enjoy solving problems that dont come with a predefined solution.
Product Partner: You care as much about the Why (Business Value) as the How (Implementation). You understand customer problems, challenge assumptions, and make thoughtful technical decisions that maximize impact.
AI-Native Engineer: You view AI as a fundamental part of modern software development. You know how to combine AI-powered tools with strong engineering fundamentals to build better software, faster.
Must Haves
5+ years of software development experience building production-grade software.
Strong experience with modern backend and/or frontend technologies in large-scale production environments.
Proven track record of owning features or services from design through production.
Demonstrated ability to leverage AI-powered development tools (such as Cursor, GitHub Copilot, Claude Code, or similar) as part of your daily engineering workflow.
Strong software engineering fundamentals, including system design, testing, code reviews, and CI/CD.
Experience working closely with Product, Design, and Engineering teams in fast-paced, collaborative environments.

Requirements:
What we need to see:

B.Sc. or equivalent experience in Computer Science, Computer/Software Engineering or related field.

5+ years work experience in a software development.

Strong programming skills in Python, Go, and Bash.

Strong understanding of Linux and networking.

Solid expertise in Linux build systems, encompassing RPM and Makefiles.

Experience with Docker, Ansible, and Jenkins pipelines.

Proven object-oriented programming skills and design patterns.

Motivated, responsive, and keen on process improvement.

Excellent Analytical, debugging, and problem-solving skills.

Ways to stand out from the crowd:

Experience with bootloaders.

Contribution to open-source projects.

Experience working with SoC.

Familiar with other SDK such as CUDA SDK.

Strong interest towards groundbreaking technologies and ability to take initiatives and drive them across multiple functional teams.

Requirements:
Basic Qualifications
- 5+ years of non-internship professional software development experience.
- Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design.
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems, or experience designing or architecting (design patterns, reliability and scaling) of new and existing systems.
- Experience building complex software systems that have been successfully delivered to customers.
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.

Preferred Qualifications
- Experience with experimentation (A/B testing), analytics instrumentation, and metrics-driven iteration.
- Experience with AI/ML integration and generative AI applications.
- Experience mentoring engineers and driving engineering best practices.

Requirements:
3+ years of hands-on experience building production cloud systems end to end: architecture, development, testing, and cloud-native work in production.
Strong Python (our primary language), and solid software engineering foundations: software design principles, concurrency, data structures, and cost/performance trade-offs.
An AI-native, can-do generalist: you use (or are eager to adopt) AI and agentic tooling as a core part of how you ship, you're comfortable across the whole stack and unafraid of unfamiliar territory, and you take strong ownership of systems end to end on a small team.
A team player with excellent communication skills, strong independent-learning ability, and curiosity to explore new fields and constantly improve.
Advantage:
SQL and modern data warehouses (Snowflake, BigQuery or Databricks equivalent).
Experience with ad-network, martech, attribution, or measurement ecosystems (Google Ads, Meta, MMPs, conversion APIs).
Experience with modern cloud and orchestration tooling: Temporal, Airflow, Docker, Kubernetes, ArgoCD, Terraform, and AWS.
Background in analytics, data science, or product: you think like an analyst or PM about what makes a signal correct and valuable, not just whether the code runs. We value this highly.

Requirements:
Who You Are
First and foremost, youre a software engineer who loves building.
3+ years as a software engineer. Youve shipped products that people used.
You code AI-native - Claude Code, Cursor, Codex, whatever youve landed on - and you can read what the model writes and tell whether its good. Python and Node are your regulars.
An all-around full-stack builder, not a coder. You have a product mindset, can hold a complex platform architecture in your head, and you can also walk into a department, talk to users, and ship a solution without a detailed ticket telling you what to build.
Hands-on experience designing, building, and evaluating production-grade LLM and agentic AI systems, including tool calling, RAG, MCP, workflow orchestration, and evaluation frameworks.
You have great intuition and pragmatism, knowing when to build, integrate, automate, or leverage existing tools. Curiosity and a strong bias toward experimentation and shipping.
Strong understanding of APIs, databases, integrations, and cloud environments. You can scope a system without hand-waving.
English at a professional level.

Advantage
Youve founded a company or built something solo that real people used.
Experience with workflow automation and integration platforms (e.g., n8n, Workato, or similar).

Requirements:
what we need to see:
a degree in Computer Science or a related field, or equivalent practical experience.
5+ years of software engineering experience, including building Developer tools, shared libraries, or engineering infrastructure.
strong programming skills and the ability to design maintainable software used by other engineers.
practical experience developing ci/cd pipelines, automated testing frameworks, and git-based development workflows.
ability to diagnose unreliable tests, slow feedback cycles, and recurring development friction, and address their underlying causes.
experience delivering and maintaining reliable software, including testing, debugging, and operational support.
ability to use ai development tools effectively and evaluate generated code for correctness, security, and maintainability.
clear communication, sound engineering judgment, and the ability to collaborate across team boundaries.
ways to stand out from the crowd:
experience maintaining open-source projects or improving external contributor workflows.
experience building tooling for coding agents, evaluating ai-generated changes, or automating code review.
background with compatibility matrices, performance benchmarking, or scale-testing frameworks.
familiarity with secure ci practices, dependency integrity, and running tests on untrusted contributions.
a track record of measurably improving Developer productivity and software reliability.
we are widely considered to be one of the technology world's most desirable employers. we have some of the most forward-thinking and hardworking people in the world working for us. if you're creative and autonomous, we want to hear from you!
we are committed to fostering a diverse work environment and proud to be an equal opportunity employer. as we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements:
What we need to see:
B.Sc or equivalent experience in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
5+ years of hands-on experience in the software development lifecycle, with a proven track record in performance-critical systems.
Python Mastery: Advanced programming skills in Python, with a focus on writing optimized, efficient, and scalable code for hardware interfacing.
Networking & HW Background: Solid understanding of networking protocols (TCP/IP, InfiniBand, or Ethernet) and hardware-level interaction.
Linux Expertise: Strong familiarity with Linux environments, associated debugging tools, and system-level performance tuning.
Strong analytical and debugging skills.
A highly collaborative great teammate who is also self-motivated, well-organized, and capable of working independently in a fast paced environment.

Ways to stand out from the crowd:
Performance Tooling: Experience with performance profiling, optimization, and low-level hardware communication (e.g., PCIe, I2C).
Low-Level Knowledge: Background in C/C++, RT embedded development, or driver development within a Linux environment.
Technical Leadership: Experience leading technical projects or mentoring team members in a dynamic setting.
Problem Solving: Confirmed experience in root-causing complex system-level issues and solving customer-facing hardware challenges.

Requirements:
7+ years of Full Stack development experience.
Strong hands-on experience with Node.js and React.
Proven experience designing complex system architectures.
Excellent knowledge of SQL and database design.
Strong experience with AWS services and cloud-native applications.
Deep understanding of modern software development processes and best practices.
Hands-on experience building products with LLMs, AI Agents, RAG, MCP, and modern AI development tools.
Experience using AI extensively as part of the software development lifecycle-not just for experimentation.
Excellent communication skills and the ability to lead technical initiatives while remaining hands-on.

Requirements:
3+ years of experience as a software developer, DevOps engineer, infrastructure engineer, or in a similar cloud-oriented development role
B.Sc. in Computer Science / Software Engineering or equivalent practical experience
Strong programming skills in Python, Node.js, or a similar programming language
Hands-on experience with containerized environments using Docker and Kubernetes, including deployment, configuration, troubleshooting, and production workloads
Experience working with cloud platforms, preferably AWS
Experience with CI/CD pipelines, automation, and deployment processes
Experience working with databases, preferably NoSQL databases such as MongoDB
Understanding of production systems, including scalability, availability, monitoring, logging, and incident investigation
Experience using AI-powered development tools and integrating AI capabilities into daily development workflows
Preferred Qualifications
Experience with caching, messaging, and streaming technologies such as Redis or Kafka
Hands-on experience with infrastructure-as-code tools such as Terraform, including writing providers
Experience with frontend development using React, TypeScript, HTML, and CSS
Experience with observability and search platforms such as Elastic Stack and Grafana
Familiarity with GraphQL.