דרושים » פיתוח WEB » NodeJS - backend Engineer

Why Join Us?
Join our AI & Innovation group as an AI Engineer and play a key role in shaping the future of AI-driven security solutions. You'll work with a team of open-minded, ambitious individuals who thrive on collaboration, continuous learning, and delivering real-world impact.

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 a robust production systems
Collaborate closely with cross-functional teams, including data scientists, software engineers, and product teams, to drive innovation from concept to deployment

ironSource from Unity, a cutting-edge large-scale ad network, is seeking a highly skilled and experienced Senior Software Engineer to join our backend team. The ideal candidate will have a strong background in distributed systems, data engineering and software engineering, and will be responsible for leading the design, development, and deployment of top quality data pipelines, data lake and an ML feature platform.
What you'll be doing
System Design and Architecture: Develop and maintain robust, scalable, and efficient distributed systems and data pipelines to help build the new generation of ironSource's ML feature platform.
Research and Innovation: Stay current with the latest advancements in machine learning data pipelines, feature stores, and apply innovative techniques to improve data aggregations, monitoring, cleaning & filtering and preparing for ML training.
Cross-Functional Collaboration: Work closely with data scientists, software engineers and product managers to build the data lakes and data pipelines.

We are looking for a Full-Stack Engineer. This role is perfect for a proactive person with outstanding programming skills. The ideal candidate is a team player who has a passion for designing and developing innovative and scalable solutions, from front-end user interfaces to back-end system logic. A person who has a desire to be responsible for the development of entire features, end-to-end, while demonstrating engineering excellence.

About Us

Check Point is a key player the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, merging cloud and on-device protection, redefines how businesses connect in the era of cloud and remote work.

Key Responsibilities
End-to-end development of new software features (research, design, development, testing, deployment, monitoring)
Contribute to technological and architectural decisions
Analyze and improve efficiency, scalability, and stability of various components in our system
Collaborate with Designers, Product Managers, and Software Engineers to deliver the best product to our customers

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.

Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.

In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people.

Role Summary:
We are looking for a Data Engineer to join our team and play a key role in designing, building, and maintaining scalable, cloud-based data pipelines. You will work with AWS (Redshift, S3, Glue, Managed Airflow, Lambda) to integrate, process, and analyze large datasets, ensuring data reliability and efficiency.

Your work will directly impact business intelligence, analytics, and data-driven decision-making across the

What Youll Do:
ETL & Data Processing: Develop and maintain ETL processes, integrating data from various sources (APIs, databases, external platforms) using Python, SQL, and cloud technologies.
Cloud & Big Data Technologies: Implement solutions using PySpark, Databricks, Airflow, and cloud platforms (AWS) to process large-scale datasets efficiently.
Data Modeling: Design and maintain logical and physical data models to support business needs.
Optimization & Scalability: Improve process efficiency and optimize runtime performance to handle large-scale data workloads.
Collaboration: Work closely with BI analysts and business stakeholders to define data requirements and functional specifications.
Monitoring & Troubleshooting: Ensure data integrity and reliability by proactively monitoring pipelines and resolving issues.
Data Modeling: Design and maintain logical and physical data models to support analytics and operational needs

We are looking for a skilled Rust Developer with 2 years of hands-on experience to contribute to the development of our cutting-edge web3 security software solutions. The ideal candidate will have a background in software development, development best practices and micro services. While prior experience in cybersecurity or blockchains is a plus, we welcome developers eager to learn and grow in this space.

Key Responsibilities
Design, develop, and maintain secure and scalable systems using Rust.
Collaborate with cross-functional teams to implement features aligned with business goals.
Work closely with the research team to translate innovative concepts into practical, secure solutions.
Ensure code quality through code reviews and adherence to industry best practices.
Participate in identifying and mitigating security vulnerabilities within applications.
Stay updated on emerging trends in Rust development, cybersecurity, and blockchain.

Join our DeviantArt team as a Senior DevOps Engineer and play a pivotal role in maintaining and architecting a robust infrastructure that powers one of the largest online art communities. You'll be at the forefront of ensuring our platform's high availability, performance, and security, handling over 1.5 billion monthly page views.

The DeviantArt DevOps Team is a very small remote team that performs all tasks normally inclusive of SRE/DevOps/Infrastructure Engineers, with a bit of networking, security, and database administration mixed in. We are responsible for the day-to-day management and implementation of large-scale, mission-critical production systems that run on a public cloud.

This role requires wearing a lot of hats, and is equal parts fun and challenging. In this role, you will:

Architect and maintain a highly available infrastructure with a focus on proactive and reactive DDOS mitigation, autoscaling, self-healing, site performance, and cost optimization

Participate in a 24/7 on-call rotation, responding swiftly to outages or performance issues, and focus on less urgent alerts during normal work hours

Maintain and develop a developer environment and CI/CD pipelines in parity with production systems, for seamless testing and release of changes

Automate infrastructure provisioning and management using configuration management tools, complete with tests and documentation

Optimize and support sharded MySQL databases for efficient and reliable data handling amidst growing data reads and writes

Regularly update system components to avoid security issues and ensure up-to-date technology

We take our work seriously, but we dont take ourselves too seriously! We enjoy designing and building systems using open source tools and industry standards, and are in the fortunate position to be able to make decisions as a team about adopting newer technologies, and redesigning our infrastructure when appropriate.

This role is on a fully remote and distributed team, and asynchronous communication within and across teams is crucial. To be successful in this role, a candidate will need to work flexibly, balancing server and service issues, needs from development teams, security needs, and shifting priorities in our own tasks in managing our infrastructure

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.

The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
Leading a team from a technical perspective to develop ML best practices and influence engineering culture
Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables in tandem with the engineering team

Join the cutting-edge CloudGuard AI Security engineering team, where you will be part of a top talented team collaborating to shape and secure next-generation AI-enabled public cloud environments. You will create proof-of-concepts, design robust architectures, and develop products that address the evolving security challenges of AI adoption in modern enterprises.

Key Responsibilities
Pioneer AI Security Solutions: Design, build, and refine innovative security products for AI-driven cloud environments.
Architect & Own EKS-Based Backends: Lead the development of AI security microservices, ensuring high performance, scalability, and reliability.
Full Development Lifecycle: Contribute to every stage, from initial design to deployment, while maintaining best-in-class coding standards.
Continuous Learning & Adapting: Stay current on the fast-paced AI landscape, enterprise use cases, and emerging threat vectors.
Collaborate & Innovate: Work together with product architects and cross-functional teams to refine requirements and deliver groundbreaking security solutions.