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Were hiring a Machine Learning Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.
This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.
What You Will Do:
Lead & Mentor: Manage, mentor, and grow a team of ML engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.

we are looking for a Senior DevOps Engineer with a strong software development background to build and evolve our internal DevOps platform. You will sit at the intersection of Platform Engineering, SRE, and MLOps - owning the infrastructure and tooling that powers production and enables our developers and data teams to move fast, safely, and with confidence.
If you believe DevOps should be a self-service platform, love automation, and naturally think in systems and end-to-end flows, keep reading.
What You Will Do:
Build a DevOps Platform (Platform-as-a-Product): Create internal services and golden paths that scale across teams (self-service over ad-hoc, repeatable over personal support).
Own CI/CD End-to-End: Design, build, and maintain Jenkins and GitHub Actions pipelines that move code from commit to production with high reliability, visibility, and safety.
Operate and Evolve Our AWS Stack: Hands-on ownership of AWS, including services such as ECS, EKS, Lambda, WorkSpaces, DynamoDB, Redshift, S3, DocumentDB (and the surrounding networking, IAM, observability, and deployment patterns).
Enable MLOps and Data Workflows: Support and automate ML and data pipelines using tools like Airflow, MLflow, and Jupyter Notebooks (plus integrations with compute, storage, and security controls).
Automation First: Eliminate manual work through Infrastructure-as-Code, scripting, and internal tooling. Build reusable components instead of one-off solutions.
Cost Optimization (FinOps): Drive cost visibility and optimization (tagging, budgets/alerts, rightsizing, workload efficiency, and practical trade-offs between cost and reliability).
Security Ownership: Bake security into pipelines and infrastructure (least privilege, secrets management, supply chain controls, vulnerability scanning, hardening, and incident readiness).
Leverage AI to Move Faster: Use AI tools such as Cursor, GitHub Copilot, and Claude Code to accelerate delivery (without compromising quality, security, or reliability).
Cross-Team Collaboration: Partner with Engineering, Data, and AI teams to unblock delivery, improve developer experience, and keep production stable.

We are seeking a Networking Software Engineer to join our RDMA Transport Software team, driving the development of next-generation RDMA solutions for AI, cloud, HPC, and storage. You will research and develop innovative transport algorithms that push the limits of performance and scalability. You will work in a fast-paced, collaborative environment alongside talented engineers from around the world, supporting the data needs of the worlds largest enterprises

What you'll be doing:
Take part in research, design, and development of advanced RDMA transport mechanisms and algorithms, enhancing performance, reliability, and scalability.
Collaborate closely with hardware engineers, software developers, and system architects to align on project objectives and requirements.
Keep up with industry trends and emerging technologies, integrating new ideas and innovations into the development process.

We are spearheading the AI revolution and the creation of state-of-the-art accelerated compute platforms for global utilization. Our Network Modeling and Performance Insights group is seeking a skilled and driven Software Developer for the design and development of our infrastructure for a complex networking simulation as a service. In this role, you will be responsible for developing and optimizing our network simulation software, and to enhance its performance and quality. You will work on integrating this infrastructure with cloud computation services for various use cases and ensure the simulation is available as a service for internal and external customers. If you're passionate about tackling intricate challenges and contributing to comprehensive software solutions, we want to hear from you.

What you'll be doing:

Enhance simulation runtime and memory consumption through innovative optimization techniques.

Improve the quality of the simulation as a software product, ensuring robustness and reliability.

Expends the simulation versatility to accommodate new various and complex user use cases and bleeding-edge requirements.

Design and expose the simulation as a service to facilitate easier access for different stakeholders.

Integrate a new simulation management system, making simulated experiments data accessible to all users.

Design and develop a CI/CD infrastructure for our complex networking simulation tool, ensuring efficient deployment and smooth integration processes.

The static analysis team is responsible for the heart of the ASPM product: our capability to automatically reverse engineer arbitrary backend applications and provide deep-code insights about what they do.
As a Senior Engineer on the static analysis team, you will be a key contributor, playing a vital role in designing and building a powerful automated reverse-engineering engine. You will be tackling complex, unsolved problems in code analysis by translating cutting-edge research and critical business needs into robust, production-ready engineering solutions.
If you enjoy solving extremely difficult problems while drawing solutions from multiple domains and thrive in a hands-on technical role, then this position is for you.
What You'll Do:
Drive the hands-on design and implementation of core components for our powerful automated reverse-engineering engine.
Conduct research and development on cutting-edge algorithms for deep-code and data flow analysis.
Play a key role in developing, designing, and optimizing the Falcon ASPM platform.
Collaborate with fellow team members to solve the most complex and novel technical challenges.
Contribute across the entire software development lifecycle, from initial research and system design to production deployment and monitoring.
Tech Stack:
Go
Kubernetes
AWS
Kafka
Linux.

we are seeking a Software Engineer to join our Cloud Security Inventory team within the Falcon Cloud Security organization. This role focuses on building and maintaining scalable inventory systems that process and manage cloud resources across multiple cloud providers. You'll be part of a team handling high-scale data processing, serving both customer-facing and internal applications, while expanding our Cloud Security Posture Management (CSPM) capabilities.
What You'll Do:
Design and develop inventory systems processing muti millions of cloud resources daily across multiple cloud providers
Research and deep dive into cloud provider services to expand resource coverage and become a subject matter expert
Build and optimize high-throughput data collection pipelines that can handle rapid scale increases
Develop creative solutions for resource relationship mapping, efficient data storage, and real-time inventory updates at massive scale
Collaborate with cross-functional teams to understand their unique inventory needs and create scalable solutions
Participate in architectural discussions to solve complex technical challenges
Research and propose new approaches to handle growing data volumes and customer requirements
Help maintain system reliability while constantly scaling up operations
Technical Environment:
Go
Databases: PostgreSQL, Elasticsearch/Opensearch, Cassandra
Message Queuing: Kafka
Cloud Platforms: AWS, GCP, Azure, OCI
Containerization: Docker, Kubernetes
Monitoring: Grafana, Prometheus.

This is a Software Development Engineer (SDE) role in the engineering team that delivers the sensor (lightweight agent) on Linux. This role will be part of the team designing and implementing new features in the sensor to secure cloud workloads. The work leverages eBPF and other technologies. These features will extend the power of the Falcon platform to provide seamless visibility, detection, and prevention for container processes running in orchestration environments like Kubernetes.
SDEs in the team own design and development of core features of the product. Features will cross-cut most core OS subsystems such as file system, memory, process, and networking. The team operates under the Agile development principles and ships frequently.
About the Product:
our company Falcon is a two-component security product. One component is a sensor, which is a lightweight agent installed on client machines that observes system activity and recognizes malicious behavior, then provides on-box prevention capability and remote telemetry to the Falcon cloud. The cloud component aggregates sensor telemetry for each customers network, can correlate malicious behavior across multiple machines, and presents our customers operations teams with a prioritized summary of the threats detected in their environments.
What You'll Do:
Design and develop Linux software for deployment on server
Own features from design to delivery
Collaborate with multi-functional team in various physical locations
Troubleshoot issues with the product as reported from customers responsively
Other projects as assigned.

Adaptive Shield, a company, is an industry leader in the emerging SaaS Security Posture Management (SSPM) market. Our culture is defined by great people with deep knowledge, integrity and values. Join our team and be a part of revolutionizing the way we help enterprises secure their SaaS ecosystem!
The designated candidate should have vast experience in SaaS security, strong technical cybersecurity background, and outstanding communication and execution skills.
What You'll Do:
Perform advanced security research in SaaS applications to identify security risks, and build product capabilities to proactively address them
Collaborate with cross-functional teams, including R&D, Customer Success, and Product Management, to integrate security practices into the product.
Stay abreast of the latest SaaS security threats, research, and technologies, integrating this knowledge into our security strategy.
Strong knowledge of cloud security best practices and past professional experience implementing.
Prepare and present detailed reports on findings and recommendations to relevant stakeholders.

Join our company and become a key leader in building the most innovative endpoint security solution in the world. Our sensor development team is responsible for building the endpoint sensor which deploys on multiple platforms including Windows, Mac, and Linux. As a Software Engineer, you will be expected to have ownership over major components and development projects. You will be required to assist with architecting solutions and support in implementing our core features. Features will cross-cut most core OS subsystems such as file system, memory and process, and networking. Many features are also built in a way that they will have shared components across multiple platforms. You need to be able to lead projects efficiently while maximizing performance and minimizing costs, making sure high standards are being followed when it comes to design, coding quality, and unit and component testing.
What You'll Do:
You will be joining the Identity protection team that delivers detection and prevention of identity related incidents in the organizational network using the falcon sensor and cloud. You will work with an experienced team of capable developers and participate in establishing the Israeli R&D center of one of the most innovative and exciting software companies in the world today.
In this role you will be responsible for building an efficient lightweight sensor for Active Directory servers. You will participate in implementing the next generation of our companys world-leading Identity Protection technology.

As a Senior Cloud Engineer in our Application Analysis group, you'll build the cloud infrastructure that powers our automatic reverse engineering engine - a system designed to analyze and comprehend software code through advanced code analysis techniques including static analysis, dynamic analysis, and data flow analysis.
What You'll Do:
You'll develop and integrate this engine into the Falcon platform, creating high-performance cloud services and data pipelines that process billions of requests daily from customers worldwide. Your work will involve leading complex projects from conception through deployment, making critical technical and architectural decisions, and developing modern production architecture at massive scale.
Working at our company's Israeli R&D center, you'll collaborate closely with experienced cybersecurity developers and our algorithm development team to integrate code analysis capabilities into the platform. You'll own your code end-to-end - from planning to development and testing to production rollout and scale-up - while working across a diverse technology stack to solve complex distributed systems challenges.
Tech Stack: Go, Kubernetes, Kafka, S3, Postgres, Redis, etc.
This is a Hybrid position open to candidates in the Israel area.

We're seeking a Mid to Senior Data Engineering Manager to join our Cloud Identity & Perimeter, a critical component of our company's security infrastructure. Our team develops and maintains complex data pipelines that process billions of records daily, analyzing identity-related security patterns, effective permissions, internet exposure, and attack paths. We're at the forefront of securing enterprise identities and delivering actionable security insights at scale.
What You'll Do:
Lead and mentor a team of data engineers building high-performance data processing pipelines
Define technical strategy and architecture for complex data transformations using Apache Spark
Oversee development of real-time data streaming solutions using Kafka and scalable ETL processes
Drive cross-functional collaboration with product, security research, and engineering teams to deliver high-impact security features
Establish best practices for data modeling, query optimization, and storage patterns for large-scale distributed systems
Manage team performance, including hiring, career development, and performance reviews
Balance technical execution with strategic planning and resource allocation
Champion operational excellence through code reviews, system monitoring, and continuous improvement initiatives
The Technology Stack:
Languages: Go, Java, Python
Big Data: Apache Spark, Kafka, Apache Iceberg
Databases: Cassandra, Elasticsearch, Postgres, MongoDB
Cloud Platforms: AWS, GCP, Azure
Infrastructure: Docker, Kubernetes, Git.

About the Role:
Join our company and become a key leader in building the most innovative endpoint security solution in the world.
Our sensor development team is responsible for building the endpoint sensor which deploys on multiple platforms including Windows, Mac, and Linux.
As a Software Engineer, you will be expected to have ownership over major components and development projects.
You will be required to assist with architecting solutions and support in implementing our core features.
Features will cross-cut most core OS subsystems such as file system, memory and process, and networking. Many features are also built in a way that they will have shared components across multiple platforms. You need to be able to lead projects efficiently while maximizing performance and minimizing costs, making sure high standards are being followed when it comes to design, coding quality, and unit and component testing.
Joining our Data Security Product Group means you'll be instrumental in developing a comprehensive data security system. This system empowers customers to detect and investigate insider threats, monitor access and movement of sensitive data, and uphold regulatory compliance by reducing data leak risks.
What You'll Do:
Work on an emerging product with continuous growth, new feature releases and a rapidly growing customer base
Partner with fellow senior engineers in the development of the sensor, the lightweight our company agent, and its leading endpoint security capabilities
Own new features from design to delivery
Support development of cross-platform software (Windows & Mac)
Collaborate with multidisciplinary engineering teams across various locations to develop cross-team functionalities
Troubleshoot issues with the product as reported from customers responsively.

Required Software Engineer - Al Platform
About Us
We help modern, mid-size businesses transform the way they manage people, giving HR and managers all they need to connect, engage, develop, and retain top talent. Since 2015, weve achieved consecutive triple-digit year-over-year growth, all backed by our amazing team of Bobbers from across the globe, making us the choice HRIS of over ~4500 midsize and multinational companies and over 1 Milion users.
Our HR platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively.
What this role is really about
Were building our internal AI Platform as a foundation that enables safe, scalable, and cost‑effective AI across the company. Our mission is to support internal business units in becoming more productive and driving business growth. As a Software Engineer on Business Innovation (Internal), youll develop high‑leverage platform capabilities used by Product, Customer Success, Sales, Operations, Data, and IT. Youll work across the entire stack, from APIs and services to data and UI. transforming business requi
Build core AI platform services - Design and implement agent orchestration, prompt management, RAG, Connectors, and evaluation pipelines that power AI experiences across the company.
Develop complex agentic workflows - Develop a multi-step workflow that coordinates tools and services with proper observability, guardrails, and cost controls (using OpenAI Agent SDK, LangGraph, or a similar framework).
Build LLM evaluation and optimisation process -Develop evaluation harnesses, offline/online experiments, prompt-testing frameworks, and dashboards to balance quality, latency, and spend across all AI services.

our company Falcon Host is a two-component security product. One component is a sensor: a driver installed on client machines that observes system activity and recognizes malicious behavior, then provides on-box prevention capability and remote telemetry to the Falcon Host cloud. The sensor processes thousands of events per second to provide deep visibility into operations on the endpoint, and performs rich correlation and computation to identify malicious events and blocks malicious activity.
The cloud component aggregates sensor telemetry for each customers network, correlates malicious behavior across multiple machines, and presents our customers operations teams with a prioritized summary of the threats detected in their environments.
This is a macOS Developer role in the engineering team that delivers data protection-focused functionality in the sensor (lightweight agent) on macOS. Engineers in the team own the design and development of core features on the platform. Data protection-focused functionality centers around file interfaces, including related Endpoint Security System Extension interfaces. The team operates under the Agile development principles and ships frequently.
What You'll Do:
Design and develop data protection-focused system extensions and associated services for deployment on macOS systems
Own features from design to delivery
Collaborate with multi-functional team in various physical locations
Troubleshoot issues with the product as reported from customers responsively
Other projects as assigned.

The ideal candidate will bridge high-level security governance with hands-on, automated security implementation across the Software Development Life Cycle (SDLC).
This individual will be a critical enabler, empowering teams to move swiftly and deliver exceptional value to our clients, all while upholding the required security standards. A proven track record in successfully balancing rapid innovation with robust security practices is essential for this role.
How youll make an impact:
As the DevSecOps Engineer, you will be responsible for creating a secure-by-design culture and leading the operational implementation of our security strategy. You will:
Build the Secure SDLC (SSDLC) Strategy: Develop, own, and execute the companys comprehensive DevSecOps strategy, focusing on automation to manage security at scale from code check-in to production deployment.
Lead Key Security Engineering Initiatives: Lead and manage security engineering programs, including:
Maturing the security tools stack (e.g., implementing WAF, and automating SCA/SAST tools).
Owning the bug bounty and responsible disclosure programs triage and remediation tracking.
Enhancing the Identity and Access Management (IAM) framework through concepts like Just-In-Time (JIT) and Zero Trust principles.
Operationalize CVE Tracking and Remediation: Design and implement a scalable system for discovering, tracking, and prioritizing Common Vulnerabilities and Exposures (CVEs) in third-party and custom code. Drive the engineering teams to achieve security risk remediation goals by providing clear, actionable data and automated patching mechanisms.
Measure & Drive Improvement: Develop and maintain key DevSecOps metrics (e.g., Mean Time To Detect/Remediate - MTTD/MTTR, percentage of code coverage by SAST/SCA tools) to measure the effectiveness of automated controls and provide a data-driven picture of the application security posture.
Embed Security Engineering: Spearhead R&D DevSecOps initiatives, partnering directly with engineering teams to select, deploy, and maintain security tools, establishing security gates and best practices throughout the product development lifecycle.