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Were hiring a ML Engineer to accelerate AI-driven innovation across Stamplis B2B SaaS platform.
Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.
What You Will Do:
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across Stamplis product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.

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.

required Desktop Application Developer.

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.

Required Al Builder - Performance
About the role (overview)
As part of our Business Technologies & AI organization, youll build and ship AI agents and workflows that drive measurable impact on our internal core business processes-and then own their performance over time.
Using our AI Gateway, Custom GPTs, and low-code/no-code tooling, youll orchestrate prebuilt actions, design robust prompts, and wire data flows across systems like Salesforce, Snowflake, Gong, ERP, and internal tools-without writing low-level API code.
You will also treat AI agents like a real workforce: defining how they are onboarded, measured, evaluated, and improved. Youll build the operating model, metrics, and evaluation solutions that keep our AI ecosystem powerful, safe, and cost-effective.
1) AI Solution Design & Development
Rapidly build, test, and deploy AI agents using the AI Gateway, Custom GPTs, and low/no-code tools.
Design scalable, secure, and reliable workflows with strong prompt patterns, evals, and canary tests.
Define new actions with Platform/Integrations when needed; ensure every agent has clear I/O, purpose, and a KPI.
2) Orchestration, Data, & Operations
Configure and chain actions; handle mapping, preprocessing, errors, retries, and safe context assembly.
Use managed auth/secrets with least-privilege access and data minimization.
Write SQL for retrieval context, routing rules, golden sets, and performance queries.
Integrate logs, BI, and admin tools into a single operational view.
3) Performance, Quality & Evaluation
Define and track core metrics: usage, adoption, accuracy, cost, time saved, revenue impact.
Build dashboards, scorecards, leaderboards, and automated alerts (health, anomalies, regressions).
Maintain evaluation frameworks and pipelines (golden sets, scenarios, automated checks).

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.

We are looking for an Automation Engineer to join our Information Systems team and help build scalable, automated, and reliable integrations across our enterprise application landscape. You will work primarily with our iPaaS platform (Workato) to support cross-functional business processes and deliver high-impact automations.
Design, build, and maintain integrations and automations using modern iPaaS and AI-driven automation platforms.
Configure, deploy, and maintain integrations in Workato across enterprise systems (Legal, Product, Finance, Procurement, GTM, etc.).
Work closely with Information Systems engineers to design scalable cross-company data flows and integrations across our SaaS ecosystem
Build robust monitoring, logging, testing, and error-handling mechanisms to ensure reliability, observability, and high availability.
Integrate with external systems using REST APIs, webhooks, and OAuth/SAML/JWT authentication frameworks.
Produce and maintain high-quality documentation, including architecture diagrams, data flows, and technical specifications.
Collaborate with technical and non-technical stakeholders to understand business needs and translate them into scalable integration solutions.
Troubleshoot integration issues, perform root-cause analysis, and support continuous improvements in our integration architecture.

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.