דרושים » תוכנה » Senior Software Engineer

we are looking for a Senior Software Engineer.
Responsibilities:
Assume ownership of features and deliver value to customers
Design scalable Big Data pipelines using cutting-edge technologies
Deliver high-quality engineering applying common engineering principals
Work on building GenAI & Copilots security solutions
Think creatively about complex problems and deliver technological Innovation
Collaborate with others via open discussions, Design Reviews and Code Reviews

we are looking for a Senior Backend Engineer.
Job Description:
Assume ownership of features and deliver value to customers
Design scalable Big Data pipelines using cutting-edge technologies
Deliver high-quality engineering applying common engineering principles
Work on building GenAI & Copilots security solutions
Think creatively about complex problems and deliver technological Innovation
Collaborate with others via open discussions, Design Reviews, and Code Reviews

Join us to build cutting-edge systems, collaborate with world-class engineers, and shape how autonomous software is built in production.
We are looking for an AI Engineer to join the hunt.
Responsibilities:
Take part in the design and development of AI-driven features for our Dev-Native Observability Platform.
Collaborate with cross-functional teams to integrate AI solutions into existing systems.
Contribute to the product roadmap by identifying AI opportunities and providing insights as a potential end user
Stay updated with the latest AI trends and technologies to ensure our platform remains cutting-edge.

we are seeking a Senior Engineer for Cloud Security Product Group.

Were extending mission of stopping breaches into the public cloud and cloud-native workloads. CrowdStrikes product offering will give customers the ability to monitor and track their cloud-native workloads as well as hardening and protecting them against attacks prior to deployment. This offering will help with defending against potential adversary activities involving cloud-native resources. When coupled with Falcon, CrowdStrikes endpoint security offering, our CSPG offering will provide a more comprehensive perspective on how the adversary is targeting key customer infrastructure. Our ultimate goal is to provide a single platform for securing the entire lifecycle of cloud workloads and cloud security posture.

What You'll Do:

Lead backend engineering efforts from rapid prototypes to large-scale applications across CrowdStrike products

Leverage and build cloud-based systems to detect targeted attacks and automate cyber threat intelligence production at a global scale

Brainstorm, define and build collaboratively with members across multiple teams

Work in a startup-like environment with a small fast-moving team

Be mentored and mentor other developers on backend, and data storage technologies and our system

Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability

Be given the autonomy to own your work in a high trust environment

we are looking for a Senior Data Engineer I.
As a Senior Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.
Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.
Key Job Responsibilities and Duties:
Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.
Dealing with massive textual sources to train GenAI foundation models.
Solving issues with data and data pipelines, prioritizing based on customer impact.
End-to-end ownership of data quality in our core datasets and data pipelines.
Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.
Providing tools that improve Data Quality company-wide, specifically for ML scientists.
Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.
Acting as an intermediary for problems, with both technical and non-technical audiences.
Promote and drive impactful and innovative engineering solutions
Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.
21679

Were looking for a Data Engineer to join our Data Labs (DL) department, which specializes in professional services for our super-premium customers. This role will report to our DL (Datalabs) Data Science Team Manager in the R&D.
So, what will you be doing all day?
Building and maintaining our big-data pipelines
Take a major part in designing and implementing complex high-scale systems using a large variety of technologies
Be part of a team with smart and motivated engineers, and data scientists, to collaborate on the planning, development, and maintenance of our products
Implement solutions in the AWS cloud environment, and work in Databricks with PySpark

We are looking for a Senior Software Engineer to join our Sensors Team and play a key role in the development of our Endpoint Sensor (Agent) platform. This is a hands-on senior position with strong technical ownership, focused on designing, building, and maintaining high-performance endpoint sensors across multiple operating systems.
In this role, you will work closely with sensor, analysis, and platform teams to ensure reliable, efficient, and scalable data collection in highly complex and demanding customer environments. The position requires deep systems knowledge, strong problem-solving skills, and the ability to influence technical direction through technical expertise.
RESPONSIBILITIES:
Design, implement, and maintain endpoint sensors on Windows, macOS, and multiple Linux distributions, including installation processes and shared APIs
Take technical ownership of key components within the endpoint sensor stack, ensuring high performance, reliability, and low resource footprint
Collaborate with cross-functional engineering teams to define APIs, schemas, and data flows, ensuring data accuracy, availability, and correctness across the system
Participate in architectural and design discussions, contributing to technical decisions and long-term system evolution
Identify and implement improvements across the system, from core business logic to new data sources and monitoring capabilities
Troubleshoot and resolve complex issues related to sensor deployment, behavior, and performance across different operating systems and environments
Maintain high engineering standards, including code quality, testing, documentation, and maintainability, while working within an agile development process

We are looking for a Senior Backend Engineer to join our R&D team in developing the new rising product in the health landscape.

As a Senior Backend Engineer, you will have an impact on how we architect, build, scale, and maintain our backend systems. You will provide technical guidance and mentorship to other engineers on the team, help establish and maintain best practices for development, and participate in the development of the companys technological roadmap. Youll solve complex engineering challenges and drive engineering excellence in a dynamic environment and rapidly increasing scale.

Our ideal candidate has a real passion for making a positive change in the world, for technology and customers, has great communication skills, and loves to constantly improve themselves, our working practices, and our code base.

This is a great opportunity to join the core team of a growing, successful startup and work with the most advanced technologies.



Responsibilities

Lead/Participate in system design and architecture discussions.
Implement and own infrastructure and features; be involved and impact the entire product lifecycle (concept, design, test, release, and production support).
Teach, mentor, grow, and provide advice to other domain experts and individual contributors.
Acquire an in-depth understanding of our technical challenges and strive to improve them.
Play a central role in technical, business, and organizational contributions.
Be a vocal advocate for technical excellence and help the team members make sound decisions.
Work with product managers, data scientists, and other team members to understand the desired requirements and provide your feedback to improve the outcome of the feature.

we are looking for a Senior Machine Learning Engineer I.
As Senior Machine Learning Engineer, youll work with top notch engineers and data scientists from the team on bringing it to the next level and enabling optimal user experience. The work will focus on building, deploying and serving GenAI capabilities (Agents, Tools and the orchestration between them) using the most advanced technologies and models.
Key Job Responsibilities and Duties:
Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.
Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.
Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, translation or other innovative applications.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.
Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.
20031

Were looking for driven and talented people like you to join our R&D team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
As a Software Engineer on the Security Intelligence & Engagement team, youll be part of a domain responsible for closing the loop between security insight and action across the platform.
Our team builds the systems that transform large-scale cloud security data into meaningful risk insights, such as risk scores, trends, and contextual signals, and the experiences that drive customer response, including alerts, notifications, and guided remediation missions.
Youll work on scalable backend services and distributed systems that power how security insights are generated, aggregated, and delivered to users. The team operates across multiple product domains to ensure that insights lead directly to action, enabling customers to prioritize and resolve risks effectively.
This role is a great opportunity to work on high scale cloud security systems, collaborate across teams, and contribute to building reliable services that sit at the center of platform.
On a typical day youll:
Design and implement backend services that generate and deliver security insights and engagement workflows
Write clean, maintainable, and well-tested code that meets production quality standards
Build scalable systems that process and aggregate large volumes of cloud security signals
Collaborate with product managers, engineers, and designers to translate insights into actionable user experiences
Troubleshoot and resolve complex system issues while improving system reliability and observability
Contribute to architectural discussions and help evolve services to support growing scale and new capabilities
Implement new features following Agile development practices and established engineering standards
Continuously improve system performance, scalability, and maintainability