דרושים » תוכנה » Software Engineer- Data Platform

The Falcon Cloud Security team is looking for a hands-on Engineering Manager / Team Lead to lead the development of Agentic Workflows - a transformative initiative aimed at automating complex security operations using AI-native agents. You will lead a team of talented engineers while remaining deeply technical, helping architect and build autonomous systems that don't just alert but actively reason, investigate, and remediate security risks across multi-cloud environments.
As a player-coach, you will help shape the "brain" of our cloud security platform, guiding both the people and the technology that leverages large-scale data and AI-driven logic to help customers discover misconfigurations, prioritize risks, and automate defensive actions at scale.

What You'll Do:

Lead & Grow a Team: Manage, mentor, and develop a team of backend engineers, fostering a high-trust, high-performance culture. Conduct regular 1:1s, support career growth, and drive hiring to scale the team.

Stay Hands-On: Remain an active technical contributor - designing, reviewing, and writing production-quality code alongside your team. Lead by example and maintain a strong engineering presence.

Design & Architect: Drive backend engineering efforts to build autonomous agentic frameworks, guiding the team from rapid prototypes to large-scale production applications.

Develop Core Logic: Contribute to and oversee the development of decision-making engines and workflows that allow security agents to interact with cloud APIs (AWS, Azure, GCP) and internal data streams.

Data Integration: Guide the development of high-performance data integrations and streaming services (Kafka) to feed real-time security data into agentic models for continuous reasoning.

Scale Systems: Architect and oversee distributed systems capable of processing billions of security events to provide actionable posture intelligence and automated remediation.

Drive Cross-Functional Collaboration: Partner with Product, Design, and peer engineering teams in a "startup-like" environment to define and deliver new platform capabilities with speed and quality.

Raise the Bar: Champion engineering excellence, new technologies, and best practices across the team and broader engineering organization.

looking for a Data Engineer to help build and scale our analytics data infrastructure. In this role, you will work closely with analysts and business stakeholders to design reliable data models and support the development of a centralized semantic layer used across the company.

You will play a key role in improving the structure, reliability, and usability of our data stack. This includes building and maintaining dbt models, supporting data pipelines, and ensuring analysts have access to clean, well-documented, and consistent data.

This role is ideal for someone who enjoys working at the intersection of data engineering and analytics - translating business needs into scalable data models and enabling teams to move faster with trusted data.

Responsibilities

Design and implement data models that support analytics across key business domains such as GTM, CX, and Finance
Build and maintain transformation workflows using dbt
Work closely with analysts to translate business questions into scalable and reusable data models
Help define and implement a structured semantic layer that enables consistent metrics across the company
Improve the reliability and clarity of the analytics data stack by centralizing logic into well-designed data models
Support the ingestion and transformation of data from various sources using tools such as Fivetran and Airbyte
Contribute to improving data quality, monitoring, and documentation practices
Help establish best practices for analytics modeling and data usage across teams
Actively leverage AI tools (e.g. Cursor, LLM-based assistants) to improve development speed, data modeling, and data workflows

Were growing and looking to hire a Data Platform Engineer who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
As a Data Platform Engineer, Your Impact Will Be:
Platform Modernization: Shape and develop the core technology of our Data Platform, moving from design to implementation to support AI research and business intelligence.
Scalable Pipeline Engineering: Design and build complex, distributed data pipelines that ingest, manipulate, and move data from a wide variety of sources at massive scale.
Software Excellence: Build and maintain high-performance microservices and APIs that interface with our data ecosystem, ensuring low-latency and high reliability.
Cross-Functional Collaboration: Partner closely with Software Engineering, AI Research, and Product Management to transform abstract data needs into real-world customer value.
Data Reliability: Implement best practices for data management, quality assurance, and security within our ecosystem.
ML & AI Enablement: Integrate and manage robust data flows that directly power our ML and LLM pipelines in production environments.

This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office.

The Cloud Developer builds from the ground up to meet the needs of mission-critical applications, and is always looking for innovative approaches to deliver end-to-end technical solutions to solve customer problems.

Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions.

Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements.

The Cloud Developer provides business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications.

Responsibilities:

Leads the project team for design and development of complex products and platforms, including solution design, analysis, coding, testing, and integration for building efficient, scalable and robust cloud subsystems.
Reviews and evaluates designs, test plans, and develops code for compliance with cloud design and development guidelines and standards.
Provides tangible feedback to improve product quality and mitigate risks.
Represents the engineering team in various technical forums and provides guidance and mentoring to less-experienced team members.
Drives innovation and integration of new technologies into projects and activities in the software systems design organization.
Analyzes science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns.

The Falcon Cloud Security team is looking for a hands-on Engineering Manager / Team Lead to lead the development of Agentic Workflows - a transformative initiative aimed at automating complex security operations using AI-native agents. You will lead a team of talented engineers while remaining deeply technical, helping architect and build autonomous systems that don't just alert but actively reason, investigate, and remediate security risks across multi-cloud environments.
As a player-coach, you will help shape the "brain" of our cloud security platform, guiding both the people and the technology that leverages large-scale data and AI-driven logic to help customers discover misconfigurations, prioritize risks, and automate defensive actions at scale.

What You'll Do:

Lead & Grow a Team: Manage, mentor, and develop a team of backend engineers, fostering a high-trust, high-performance culture. Conduct regular 1:1s, support career growth, and drive hiring to scale the team.

Stay Hands-On: Remain an active technical contributor - designing, reviewing, and writing production-quality code alongside your team. Lead by example and maintain a strong engineering presence.

Design & Architect: Drive backend engineering efforts to build autonomous agentic frameworks, guiding the team from rapid prototypes to large-scale production applications.

Develop Core Logic: Contribute to and oversee the development of decision-making engines and workflows that allow security agents to interact with cloud APIs (AWS, Azure, GCP) and internal data streams.

Data Integration: Guide the development of high-performance data integrations and streaming services (Kafka) to feed real-time security data into agentic models for continuous reasoning.

Scale Systems: Architect and oversee distributed systems capable of processing billions of security events to provide actionable posture intelligence and automated remediation.

Drive Cross-Functional Collaboration: Partner with Product, Design, and peer engineering teams in a "startup-like" environment to define and deliver new platform capabilities with speed and quality.

Raise the Bar: Champion engineering excellence, new technologies, and best practices across the team and broader engineering organization.

Were looking for a Software Engineer (Data Platforms) to join the Users & Integrations team within our companys Intelligence Group. This role is built for an experienced engineer who thrives on solving complex backend challenges and scaling data pipelines.
In this role, you will take ownership of crucial user data integrations and architect the sophisticated matching logic that powers our platform from data ingestion and transformation to delivery. You will work extensively with large-scale data pipelines, translate complex algorithms into high-performance production code, and tackle massive scalability challenges to enhance the data experience for our companys customers
Where does this role fit in our vision?
Every role at our company is designed with a clear purpose. At our company, data is everything; its at the heart of everything we do. The Intelligence Group is responsible for shaping the experience of hundreds of thousands of users who rely on our data daily.
The Users Team is the engine behind our companys data connectivity, handling massive-scale user data integrations and engineering complex entity-matching logic. By translating millions of data signals and advanced algorithms into high-performance pipelines, we ensure users receive highly accurate, tailored data - optimizing their overall experience while driving the core KPIs of our Intelligence Group.
What will you be responsible for?
Designing, building, and maintaining robust, scalable ETL/ELT data pipelines and integration solutions within our companys Databricks-based environment.
Implementing and optimizing algorithms for data processing and entity resolution with a strong emphasis on delivering high-quality, high-throughput data.
Deploying data infrastructure leveraging technologies like Spark, Kafka, and Airflow to tackle complex data challenges and enhance business operations.
Designing innovative data solutions that support millions of data points, at high performance and massive scale.

This is a Senior Software Development Engineer in Test (SDET) position on our Falcon Data Protection product development team, focusing on the integration between our endpoint sensor and browser extension technology. You will own the end-to-end quality process for how the sensor and browser extension work together to deliver data protection - from hands-on exploratory testing and test strategy design through to building robust automation. As a key contributor to the team, you will drive validation for new capabilities, ensuring data protection works as expected across the full stack. Working closely with sensor, cloud, and extension development teams, you'll coordinate testing efforts, participate in technical design discussions, and lead code reviews. We're seeking a senior engineer who works independently, thrives on technical challenges, takes full ownership of quality for their domain, and contributes to a culture where quality is paramount.

Location: Hybrid - Tel Aviv, Israel

Success in this role means:

Owning the entire quality process for sensor and browser extension integration - from test strategy through hands-on testing to automation

Driving validation of new capabilities end-to-end, including test design, hands-on testing, automation, environment setup, and coordination across teams

Identifying what can and should be automated, and building that automation incrementally

Reviewing developer test code and SDET test code to raise the quality bar across the team

Collaborating both within and across teams as part of SDLC ceremonies and major initiatives

Building elegant, robust, and reliable solutions for complex technical problems

What You'll Do:

Own the quality process for sensor-browser extension integration - design and implement comprehensive test strategies, configure environments (VMs, CI/CD pipelines) and coordinate with developers and QA

Perform hands-on exploratory and manual testing of new features, then identify automation opportunities and build integration and E2E test automation

Build and maintain integration and end-to-end tests using Python, ensuring data protection features works correctly across sensor and browser extension on both Windows and macOS platforms

Review developer-written tests and SDET test code with an eye towards improving reliability, security, and maintainability

Debug cross-platform issues found through testing or customer-reported cases to identify root cause and enhance test coverage

Reproduce and validate fixes for customer-reported issues

Manage test infrastructure including CI/CD pipelines in Jenkins, ensuring fast and reliable feedback loops

Participate in SDLC ceremonies as part of major initiatives, collaborating with sensor, cloud, and extension teams

Collaborate with product and release management to control risk, improve quality, and streamline release cycles

We're looking for a Senior AI/MLOps Engineer to join a group that specializes in Security and Networking, and specifically ML, AI and agent development. As a Senior AI/MLOps Engineer, youll build and maintain the infrastructure, tools and processes necessary to support the AI lifecycle in a production environment. You will collaborate closely with data scientists, software engineers, security architects and DevOps teams to ensure smooth deployment, modeling and optimization of AI models. This role involves creative problem solving alongside engineering teams, and is pivotal for the continued success of AI networking security.

What youll be doing:

Developing, improving and optimizing scalable infrastructure for handling and deploying security and networking AI models and agents in production, ensuring high availability, scalability, reproducibility, and performance.

Optimizing AI models and agents for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.

Monitoring and deploying agentic systems, LLMs, and ML models in production.

Designing and implementing frameworks/pipelines for AI training, inference, and experimentation.

Collaborating closely with data scientists, security architects and software engineers to operationalize and deploy AI models and agents, including packaging and integration with existing systems. Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.

Collaborating with DevOps teams to integrate pipelines and workflows into the CI/CD process, ensuring flawless deployments and rollbacks.

Building and maintaining monitoring and alerting systems to proactively identify and resolve issues relating to quality, performance and infrastructure.

Implementing access controls, authentication mechanisms, and encryption standards for AI models and data.

Documenting guidelines, and standard operating procedures for MLOps/AI processes and sharing knowledge with the wider team.

Develop proof-of-concepts for new features.

We are looking for a passionate and experienced Software Engineer. In this role, you will play a key part in developing our cloud-based, proprietary networking and security management solutions.
You will also design and implement highly scalable processes for gathering and analyzing real-time network statistics, events, and large-scale data.
Responsibilities:
End-to-end backend development: from processing large-scale data to designing efficient microservices.
Develop and enhance high-performance, scalable services.
Improve the reliability, security, and scalability of existing infrastructure.
Work closely with cross-functional teams including Product, Data, Security, and UX.
Research and adopt new technologies to improve our products.

As a Research Engineer , you will design, develop, and implement algorithms and models that will enhance the products capabilities, performance, reliability, and scalability. Together with our algo and engineering team members, you will work closely with our product team members to implement algorithms that can be used to drive our business forward as well as the frontier of software development AI technologies.

Responsibilities:

Design, develop, implement and test algorithms and AI-empowered solutions for various product features and applications
Collaborate with cross-functional teams to understand business needs and translate them into algorithmic solutions
Perform research on emerging trends, algorithms, and cutting-edge technologies, and identify ways to incorporate them into our products pragmatically
Propose new and innovative solutions to complex problems and lead the development of algorithms in those areas
Design, cleanse, and utilize benchmarks throughout the process of the algorithm development