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לפני 4 שעות
Location: Tel Aviv-Yafo
Job Type: Full Time
AI Knowledge-Base team at our company is developing a state-of-the-art platform to solve the AI at scale challenges of the biggest enterprises.
Our team is looking to hire an AI Engineer. In this role, you will:
- Have a major impact on the design and technological decisions in a large scale project.
- Gain significant knowledge and experience on the foundations RAG pipelines and Agentic workloads with focus on the data layers.
- Work closely with cross-functional teams to ensure the delivery of high-quality, scalable, and performant solutions.
- Promote usage of best practices for quality while being creative.
- Evaluate new technologies and keep up with the recent changes in the fields of Agentic AI.
LONGDESCRIPTION section. 2 of 2.
Section Title.
Requirements:
- At least 5 years development and software design experience.
- Previous hands-on experience developing production RAG-based systems or Agents based on known frameworks and tools.
- Relevant BSc/MSc degree in Computer Science, Software engineering, or equivalent.
- Work experience with cloud environments (AWS/Azure/GCP).
- Strong knowledge of system design and architecture.
- Work experience with SQL & NoSQL databases (MySQL/PostgreSQL/Redis/MongoDB, or similar).
- Proficiency in Python or Node.js.
- Experience with distributed messaging technologies such as Kafka, RabbitMQ.
- Proven track record of delivering high-quality software in a fast-paced and dynamic environment.
- Understanding DevOps concepts from developer perspective (i.e, CI/CD, IaaC)
Advantages:
- Significant work experience with Python.
- Experience with developing Data Platforms/ETL systems,
- Experience with micro-services architecture.
- Experience with performance testing, scale testing.
This position is open to all candidates.
 
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28/12/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an experienced Generative AI Engineer to join our AI squad at our company. This is a unique opportunity to wear multiple hats - serving as both a developer of cutting-edge GenAI solutions and an advisory expert helping organizations transform their AI capabilities. You'll build end-to-end GenAI projects from conception to production while staying at the forefront of this rapidly evolving field.
Key Responsibilities
GenAI Development & Implementation
End-to-End Development: Build GenAI solutions from POC through production deployment, handling all backend development responsibilities
Client Engagement: Participate in technical discussions with clients, gather requirements, and help translate business visions into feasible technical solutions through presentations and consultations
Backend Development: Design and implement production-grade microservices architectures for GenAI applications using Python
Cloud Implementation: Deploy and manage GenAI solutions across GCP, Azure, and AWS platforms, leveraging cloud-native AI services
Cross-functional Collaboration: Work closely with project managers, full-stack developers, and Power Automate teams to deliver complete solutions
System Evaluation: Assess and optimize production-grade GenAI systems for performance, scalability, and reliability
Continuous Learning & Innovation
Technology Scouting: Continuously explore and evaluate new GenAI models, frameworks, and techniques as they emerge
Best Practices Development: Establish and refine methodologies for GenAI solution development and deployment.
Requirements:
Technical Expertise
Programming: Advanced proficiency in Python for backend development and AI applications
GenAI Mastery: Deep understanding of large language models (LLMs) and experience with major model APIs (OpenAI, Anthropic, Google, etc.)
Multi-Agent Systems: Expertise in designing and implementing GenAI multi-agent architectures
Prompt Engineering: Advanced skills in prompt design, optimization, and engineering techniques
Cloud Platforms:
Required: Hands-on experience with AI services in at least one major cloud platform (GCP, Azure, or AWS)
Advantage: Experience across multiple cloud platforms (AI Search, Vertex AI, SageMaker, etc.)
Development Frameworks: Experience with GenAI frameworks like LangChain and cloud-based retrieval services
Software Engineering: Strong background in microservices architecture, API development, and production system design
AI/ML Fundamentals: Solid understanding of deep learning principles and GenAI techniques
Containerization (Advantage): Experience with Docker and Kubernetes for deployment and orchestration
OCR Technologies (Advantage): Experience with Optical Character Recognition systems and document processing
Data Pipelines (Advantage): Experience building and maintaining data processing pipelines
Professional Experience
Mid+ Level Experience: 2+ years in AI/ML development with significant GenAI project experience
Production Systems: Proven track record of deploying and maintaining AI solutions in production environments
Client-Facing Experience: Comfortable with technical presentations and requirement gathering sessions
Education & Background
Preferred: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related technical field
Alternative: Demonstrated industrial experience in developing deep learning and GenAI solutions (degree not required with strong portfolio)
Soft Skills
Problem-Solving: Excellent analytical and creative problem-solving abilities
Communication: Strong technical communication skills for both technical and non-technical audiences
Collaboration: Proven ability to work effectively in cross-functional teams
Adaptability: Thrives in fast-paced environments and eager to learn emerging technologies
Consulting Mindset: Ability to understand client needs and provide strategic technical guidance.
This position is open to all candidates.
 
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21/01/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior AI Software Engineer to help build and evolve AI-powered cybersecurity products that protect customers at global scale. In this role, you will design and implement intelligent systems leveraging AI agents and large language models (LLMs), partnering across engineering, security, and product teams to deliver secure, reliable, and responsible solutions.
This role requires strong software engineering fundamentals, hands-on experience building AI-driven systems, and a passion for applying cutting-edge AI technologies to solve complex security challenges.
Why Join Us
Youll be part of the Office of the CTO of our company Security, working on innovative, high-impact security products powered by AI that shape the future of cybersecurity. We foster a collaborative and inclusive culture that values a growth mindset, technical excellence, and continuous innovation.
Responsibilities
Design, develop, and maintain cutting-edge AI technologies and products within the Office of the CTO, from early prototypes to production-grade systems.
Build and evolve AI agent-based architectures, including multi-agent workflows and tool-using agents.
Apply advanced LLM design patterns to improve accuracy, robustness, and safety of LLM-powered systems, including prompt engineering, flow engineering, Retrieval-Augmented Generation (RAG), self-review, ReAct, and guardrails.
Write high-quality, secure, and maintainable code primarily in Python, following modern software engineering best practices.
Collaborate with cross-functional teams, including product, research, and security, to define requirements and deliver end-to-end AI solutions.
Identify and resolve reliability, performance, and security issues in AI-enabled services.
Contribute to architecture and design reviews, ensuring solutions meet security, privacy, compliance, and responsible AI requirements.
Mentor other engineers and contribute to a culture of engineering excellence and continuous learning.
Requirements:
Bachelors degree in computer science, Engineering, or a related field, or equivalent practical experience.
At least 5 years of professional experience as a software engineer building and operating production systems.
Experience in designing and deploying end-to-end GenAI solutions.
Solid understanding of software engineering fundamentals, including data structures, algorithms, testing, and version control.
Ability to collaborate effectively across teams and communicate complex technical concepts clearly.
Experience building cloud-based services on platforms such as Azure, AWS, or GCP.
Preferred
Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
Hands-on experience designing and building solutions using AI/LLM frameworks and tooling (e.g., Semantic Kernel, LangChain, vector databases).
Knowledge of secure software development practices and threat modeling.
Experience applying responsible AI principles, including safety, evaluation, and governance.
Knowledge of the cybersecurity domain is a plus, including familiarity with security threats, attack vectors, detection and response concepts, and modern security solutions.
This position is open to all candidates.
 
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22/01/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Shape the Future of Cybersecurity with Us Are you driven by deep curiosity, bold innovation, and the desire to transform cutting-edge AI research into real-world cybersecurity impact? Join Cynet, an established yet rapidly growing cybersecurity startup, where you’ll help build next-generation AI-powered security products from the ground up. You’ll be part of a small, elite, cross-disciplinary team working closely with security researchers, R&D engineers, data engineers, and product leaders.
Here, you’re not just joining a company, you’re stepping into a place where you can envision, build, and deploy foundational AI technologies that protect organizations worldwide. You will have the rare opportunity to drive innovation end-to-end, shape our future technology, and create AI systems that make a real difference in defending against modern cyber threats.
This is a role for someone who wants to put their soul into their craft, someone hungry to learn fast, experiment boldly, and turn ambitious ideas into production-ready AI solutions.

What will you do:

* Drive innovation by combining deep security research with modern AI techniques to build impactful, customer-facing security capabilities.
* Build and refine intelligent generative AI agents that drive automated cybersecurity reasoning, investigation workflows, and threat analysis.
* Extend and enhance our next-generation AI antivirus engine by designing new feature representations, building file parsers, and developing ML models end-to-end.
* Engineer and implement core parser and model components in C++ and Python to seamlessly integrate into the Cynet Endpoint Agent and platform infrastructure.
* Use Cynet’s ML experimentation pipelines to run experiments, optimize performance, and deliver production-ready detection models.
* Serve as the cybersecurity expert within the Data Science team, guiding threat modeling, malware understanding, and security-driven AI design decisions.

About Us:
Cynet is a leader in threat detection and response, designed to simplify security for organizations of all sizes. Our mission is to empower lean security teams and their partners with an AI-powered, unified platform that autonomously detects, protects, and responds to threats - backed by 24×7 security experts. With a Partner First mindset , we focus on helping customers and partners stay protected, operate confidently, and achieve their goals. Our vision is to give every organization true cybersecurity peace of mind, providing fast, accurate protection without the noise or complexity.
This role follows a hybrid work model in countries where Cynet has offices (Israel, USA), while being fully remote in England, Poland, Italy, and Germany.
Requirements:
* 5+ years of hands-on cybersecurity research experience.
* Proven experience working with EDR , malware analysis, threat detection, and security tooling.
* Proficiency in C, C++, and Python with strong debugging abilities.
* Solid understanding of Windows internals , including low-level OS concepts.
* Experience with static and dynamic analysis , reverse engineering, and real-world threat investigations.
* A scientific, data-driven approach to problem-solving, from ideation through experimentation and production.
* Strong understanding of statistical concepts and ML feature engineering techniques.
* Experience analyzing large-scale datasets using SQL, Spark, or similar tools.
Preferred / Nice to Have
* Certifications or academic background in Data Science / Machine Learning / AI
* Experience with ML frameworks and experimentation environments.
* Experience with generative models, agentic reasoning, or building LLM-based AI systems.
* Familiarity with cloud security, DevOps tooling, or MLOps practices.
This position is open to all candidates.
 
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20/01/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are a fast-growing AI powered mobile games publishing company by Unity. We work with game studios worldwide to help them build, scale, and operate successful mobile games using cutting-edge technology.Were looking for a Staff AI Engineer to join our growing AI and engineering group. This is a highly impactful role for someone who wants to shape how AI is embedded across products, platforms, and business operations-from early experimentation to production-scale systems.
As a Staff AI Engineer, youll operate end-to-end: identifying opportunities, designing solutions, and delivering real business value using modern AI and LLM-based systems.
What you'll be doing:
Design, build, and deploy AI-powered solutions across Supersonics products and internal platforms
Partner closely with product, data, engineering, and business stakeholders to identify and execute high-impact AI use cases
Architect and implement agentic workflows using frameworks such as LangChain, LangGraph, or equivalent
Integrate and operate LLMs via SDKs, including prompt design, structured outputs, tool/function calling, and guardrails
Lead technical decisions around AI evaluation, monitoring, observability, and quality measurement
Own AI initiatives from concept through production, including iteration, scaling, and long-term maintenance
Stay up to date with emerging AI technologies, models, and best practices, and help bring them into production thoughtfully
Requirements:
8+ years of software engineering experience, with at least 2+ years in AI/ML platforms or intelligent automation.
Strong background in distributed systems, APIs, microservices, container orchestration (ECS/EKS), and cloud platforms (AWS/GCP/Azure)
Proven experience building and deploying LLM-based applications using platforms such as OpenAI, Anthropic, AWS Bedrock, or similar
Solid understanding of RAG pipelines, vector databases, embeddings, and retrieval techniques (chunking, indexing, filtering, relevance tuning)
Ability to thrive in ambiguous problem spaces, take ownership, and move quickly in a startup-like environment
Strong problem-solving and analytical skills, with a product- and impact-driven mindset
Experience collaborating across teams and leading technical projects end-to-end
Bachelors degree in Computer Science, AI, or a related field (or equivalent practical experience)
You might also have
Experience with AI evaluation frameworks, prompt testing, or offline/online quality measurement
Familiarity with MLOps or AI observability tooling
Interest in gaming, mobile products, or large-scale consumer platforms
This position is open to all candidates.
 
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20/01/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a skilled Backend Engineer to join our team and implement advanced AI solutions in our travel and expense management products. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.
About the Role:
You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.
What Youll Do
Design and develop scalable, high-performance backend services and APIs.
Implement integrations with AI platforms and services.
Work with AI specialists to translate AI capabilities into production-ready features.
Ensure high reliability, performance, and security of AI-powered systems.
Collaborate with product and engineering teams to gather requirements and deliver solutions.
Requirements:
5+ years of professional backend engineering experience.
Strong proficiency in at least one backend programming language (Java etc).
Experience building and maintaining production-grade APIs and microservices.
Solid understanding of distributed systems, data structures, and algorithms.
Experience with SQL and NoSQL databases.
Track record of delivering consumer-facing products at scale.
Experience with AI/ML platforms and services (OpenAI, Hugging Face, etc.)
Familiarity with LLMs, RAG, or conversational AI.
Knowledge of vector databases and embedding technologies.
Experience with cloud platforms (AWS, GCP, Azure).
Understanding of AI/ML concepts and implementation patterns.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a highly skilled AI Engineer with a strong engineering mindset to bridge the gap between research and production.
In this role, you will be responsible for validating AI models developed by our Data Science team against real-world production systems, and then leading their optimization, deployment, and ongoing maintenance.
You will be part of the R&D team, working closely with engineers, data scientists, and product managers to ensure our AI solutions are scalable, reliable, and deliver long-term value.
If you enjoy working at the intersection of AI and engineering - bringing models to life in production, optimizing for performance, and building reliable systems - this role is for you!
Responsibilities
Lead the transition of AI models from proof-of-concept to full-scale production, ensuring they meet architectural, scalability, and performance standards.
Build observability and troubleshooting tools for AI services in production, including logging, performance tracking, and failure analysis pipelines.
Optimize inference performance, including latency, resource usage, and throughput, while maintaining model quality.
Manage model versioning and deployment readiness, including handoff processes, rollback plans, and configuration management.
Partner with the Data Science team to assess model readiness for production, validate input and output compatibility, and ensure assumptions align with real-world system behavior.
Collaborate cross-functionally with DevOps, backend engineers and data scientists to ensure scalable, secure, and cost-effective deployment of ML models.
Requirements:
3-5 years of experience in ML Engineering, AI models deployment or MLOps roles.
Strong software engineering background with hands-on experience (Python or Java preferred) building and maintaining production ML services
Solid understanding of machine learning systems and inference pipelines
Familiarity with monitoring practices and production diagnostics for ML services (e.g logs, metrics, alerting)
Proven experience in optimizing AI models for performance (response-time, memory, CPU usage) particularly in real-time or large-scale environments.
Strong proficiency with ML frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.)
Experience deploying AI solutions in cloud environments (AWS, GCP, or Azure)
Nice to have
Familiarity with GenAI production environments - working with LLMs, vector databases, and third-party generative AI APIs.
Understanding of AI governance, compliance, security, and responsible AI principles.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are looking for a talented and experienced AI Backend Engineer to join our dynamic Engineering team. This is a hybrid role, reporting to the Group Manager, Director, Software Engineering in the Engineering Department. Avalor curates and contextualizes data from hundreds of security and business tools to help companies understand and address their riskiest problems. If you're passionate about data and helping companies improve their security posture, youll play a critical role in driving innovation within the AI space by leveraging cutting-edge backend technologies.
What youll do (Role Expectations):
Lead and drive innovative projects within the AI domain, leveraging fabric capabilities to enhance and accelerate our products offerings
Develop our agentic fabric framework and implement the agentic fabric framework across the platform
Identify opportunities to address complex technical challenges and improve existing systems
Own the end-to-end delivery of projects, from proof-of-concept (POC) to full-scale production deployment
Stay updated on industry trends, emerging technologies, and best practices to continually enhance our technology stack and processes.
Requirements:
Who You Are (Success Profile):
You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What Were Looking for (Minimum Qualifications):
B.Sc. in Computer Science or a related field
5+ years of backend development experience with Python and/or Java
Experience building AI agent systems, including designing new agents and developing agent frameworks
Expertise in microservices architectures, with hands-on experience using AWS and Kubernetes
A proven ability to work independently in fast-paced, dynamic environments and tackle complex technical challenges with creative, effective solutions
What Will Make You Stand Out (Preferred Qualifications):
M.S. in Computer Science, Statistics, Machine Learning, or a related field, or equivalent practical experience
Demonstrated experience leading machine learning and data science projects.
This position is open to all candidates.
 
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28/12/2025
Location: Tel Aviv-Yafo
Job Type: Full Time
Our group is building an ambitious, AI-powered product at the heart of Check Points strategic vision - combining cutting-edge AI technologies with world-class cybersecurity expertise. This role offers a unique blend of deep technical challenges, hands-on development, and meaningful product impact. Youll have access to some of the best cybersecurity data sources available, working in a fast-paced, innovation-driven environment that combines the agility of a startup with the stability of a global leader.

If you're passionate about building state-of-the-art systems, solving complex engineering problems, and working with a great team to deliver real impact - wed love to hear from you.

Key Responsibilities
Design, architect, and implement a complex AI-powered security product
Develop and optimize scalable, reliable, and high-performance data pipelines, APIs, and cloud services
Integrate AI models and in-house agents into robust production systems
Collaborate closely with cross-functional teams, including data scientists, software engineers, and product teams, to drive innovation from concept to deployment
Requirements:
5+ years of experience as a Software Developer
Proficiency in Python and modern software engineering best practices
Experience with Linux, Git, and Docker.
Hands-on experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes)
Proficiency with relational and non-relational databases (e.g., PostgreSQL, MongoDB).
Experience with ML frameworks and GenAI (NumPy, Pandas, Scikit-learn, PyTorch, Hugging Face, LangChain, RAG)
Background in cybersecurity - big advantage
BSc in Computer Science or related field - advantage
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
The Principal Architect will be a strategic force shaping the next generation of our AI-powered security platform. Sitting at the intersection of product vision, advanced engineering, and emerging technology, this leader will set the architectural direction for the company and ensure our platform can scale to meet the most complex global security challenges. Reporting to the President, Product and Technology, youll tackle the toughest technical problems, drive clarity in high-stakes decisions, and influence the long-term trajectory of our business.

This is an opportunity to operate with executive-level visibility and impact: defining the blueprint for a platform trusted by enterprises worldwide, embedding AI and machine learning into production systems at massive scale, and raising the technical bar across a global engineering organization. Your work will not only determine how we build today but will also shape the competitive edge of our technology for years to come.

What Will You Do?
Strategic Architectural Leadership

Define the Future Architecture: Serve as the final authority and strategic driver for the company's platform architecture, ensuring it aligns with our long-term vision, supports massive scale, and accelerates the delivery of our AI, data, and security product roadmap
Platform & AI Integration: Lead the architectural design and evolution of our core platform components, focusing on seamless integration, high-performance data pipelines, and the operationalization of cutting-edge AI/ML capabilities into our threat detection and response engine
Executive Technical Steering: Provide decisive technical guidance to R&D, Product Management, and Executive Leadership on critical build-vs-buy decisions, technology investments, and architectural trade-offs that have significant business impact
Customer and Partner Leadership: Lead architecture and design discussions with key customers and partners, maximizing the reach and potential of our platform
Technical Problem Solving & Governance

Systemic Risk Reduction: Identify and architect solutions for the most pressing systemic security, performance, and scaling issues across our production environments (multi-cloud/hybrid); this includes evolving our cloud security posture, data governance model, and continuous delivery pipelines
Architecture Governance: Institute and champion a flexible, yet disciplined, set of architectural principles, standards, and patterns to ensure engineering velocity without compromising security, reliability, or cost-efficiency
Technology Scouting: Maintain expert-level awareness of emerging technologies, particularly in Generative AI, large-scale data processing, serverless/container orchestration (e.g., Kubernetes), and cloud-native security, evaluating their potential to provide a competitive advantage
Influence & Mentorship

Engineering Elevation: Act as a hands-on mentor and technical thought leader, raising the architectural competence of senior engineers and architects across the organization
Cross-Functional Alignment: Drive architectural consensus and adoption across globally distributed teams within the Product and Technology teams (R&D, DevOps, Cloud Ops, Security, and Product) and with Go-to-Market teams (Partners, Systems Engineering) often bridging technical silos and resolving complex organizational dependencies
דרישות:
12+ years in technical leadership roles, with 4+ years as a Principal Architect, Distinguished Engineer, or equivalent role in a global-scale SaaS or cybersecurity company
Deep expertise as a lead architect defining and evolving infrastructure, middleware, security, data, AI, and services architectures
Expertise in designing and operating large-scale, multi-region cloud security platforms (AWS required; exposure to GCP/Azure preferred)
Hands-on experience deploying AI/ML in production, including operationalizing models, LLM architectures, vector databases, and high-performance data pipelines המשרה מיועדת לנשים ולגברים כאחד.
 
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11/01/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an experienced Backend Engineer to join Evinced and play a key role in evolving our GenAI-driven products that expose and deliver capabilities to customers.

In this role, you will design, implement, and maintain high-quality backend services that power AI-based interfaces such as MCP, Slack/VS Code chatbots, agents, and additional automation tools, ensuring seamless access to tools and features.

You will be responsible for building reliable and scalable systems that enable developers and accessibility experts to easily leverage technology and gain actionable insights for improving the accessibility of their code.

Your Impact:

Research and implement industry-leading technologies into our technology stack.
Design and implement scalable solutions to enhance the product architecture.
Plan and execute complex, distributed, large-scale software delivery systems.
Monitor and optimize all aspects of product performance.
Troubleshoot issues across various services and functional areas.
Requirements:
5+ years of experience with modern web-scale languages/frameworks with a focus on Python and Node.js (TypeScript). Additional languages/frameworks, e.g. JVM-based GoLang, are nice to have.
Proven experience in hands-on design and work on complex SaaS systems
Proficiency with at least one primary cloud provider (GCP, AWS, Azure), including serverless and Kubernetes-based deployments
Experience in managing and maintaining production systems
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8496635
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