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Flytrex is building an autonomous drone-delivery network for restaurants in suburban America. We are one of 4 companies that are FAA approved to fly over residential neighborhoods (together with Amazon, Google/Wing and Zipline) but are the only one exclusively focused on restaurants. Uber is an investor in Flytrex and we fly deliveries for Doordash as well. After thousands of successful commercial deliveries and multiple breakthrough FAA approvals, Flytrex is now expanding rapidly across the U.S., starting with Dallas-Fort Worth. Flytrex is revolutionizing the food delivery field by making drone delivery a reality and We’re looking for an Experienced Software Developer to join a team that develops the core technology that powers our drones . The position is meant for individuals who can handle complex logic and have some familiarity with embedded software. This is a unique opportunity to develop the world’s leading drone delivery service and be a part of a revolution in the making.

We're looking for a passionate and detail-oriented QA Engineer (Entry Level) to join our quality assurance team.

This is your chance to enter the high-tech world and grow within a supportive, innovative environment.

What You'll Do:
Design and execute manual test cases for our products - get hands-on experience with real systems and ensure product quality from the ground up.
Collaborate closely with developers, product managers, and UX designers to detect bugs and improve the user experience.
Learn and apply professional QA methodologies - including writing test scenarios, working with QA tools, and understanding real-world product behavior.
Grow gradually into automation testing, performance testing, or other technical tracks, based on your skills and interests.

We are a hyper-growth company, and our development team is hiring talented and experienced Backend Engineers to design and develop end-to-end major features and new services.

Responsibilities
Work closely with the founding team and product managers.
Support the availability of our service, participate in the on-call shifts.
Innovate, Lear, and Teach.

We are looking for an experienced Backend Engineer (4+ years) to join the team as an AI Integration Engineer, supporting one of our enterprise clients as part of their AI-Native Development program.

In this role, you will act as an AI Champion and Technical Mentor within the clients R&D organization. Your mission is to help development teams effectively integrate AI tools, agentic coding workflows, and best practices into their daily software development lifecycle (SDLC). You will help guide teams through AI adoption, help overcome resistance, and ensure AI delivers real value.

This is not a feature-delivery or coding-focused role, especially in the early stages, the position is centered on enablement, training, and integration, working closely with teams to embed AI development tools into real workflows and support the organizations AI transformation.

This is a high-impact role focused on technical enablement, AI expertise, and effective collaboration with development teams and intended for experienced engineers who actively use AI in their day-to-day development work and are looking to influence how teams work. Success in this role looks like teams shipping faster and smarter with AI, not lines of code written.



What Youll Do:

● Help drive adoption and optimization of GitHub Copilot and AI dev tools

● Support (mostly) backend engineers, answer technical questions and help unblock teams

● Continuously track the AI tooling landscape and best practices

● Measure impact, identify gaps and improvement opportunities across the SDLC

● Navigate and reduce change resistance to change with patience and empathy

● Partner with DevOps, architects, and management to track and optimize AI utilization

● Build and maintain a library of reusable AI assets (prompts, rules, agent workflows, playbooks) tailored to the clients stack

● Serve as the go-to escalation point for GitHub Copilot-related issues, edge cases, and feature rollouts

We are looking for a Software Engineer (4+ years) with experience working with COBOL/Mainframe to join the team as an AI Integration Engineer, supporting one of our enterprise clients as part of their AI-Native Development initiative.

In this role, youll act as an AI Champion and Modernization Leader, working closely with development teams maintaining and evolving mainframe applications. Your mission is to help these teams integrate AI tools, agentic coding workflows, and emerging AI development best practices into their legacy and hybrid SDLC environments.

The focus is on enablement, training, and integration - not direct feature delivery. Youll bridge the gap between traditional mainframe development and AI-assisted software engineering, empowering teams to leverage tools like GitHub Copilot and emerging large-language-model (LLM) capabilities to accelerate modernization and improve developer experience.

This is a high-impact, high-visibility position designed for engineers who are hands-on with AI tools and want to influence how enterprise teams evolve their engineering practices. Success in this role looks like legacy teams delivering faster and smarter with AI - not lines of COBOL code written.

What Youll Do:

● Drive adoption and optimization of GitHub Copilot and other AI development tools in a variety of environments, including COBOL/Mainframe

● Mentor and support mainframe and backend engineers; answer questions, demonstrate workflows, and unblock teams

● Identify opportunities to use AI for code understanding, refactoring, documentation, and modernization

● Continuously track the evolving AI tooling landscape, surfacing relevant capabilities for mainframe use cases

● Measure impact, collect feedback, and identify improvement opportunities across the modernization lifecycle

● Navigate resistance to change with patience and empathy while promoting a learning culture

● Build a library of reusable AI assets (prompts, scripts, workflows) tailored to mainframe and integration contexts

● Partner with DevOps, architects, and management to track adoption and optimize AI utilization across projects

● Serve as the internal expert for GitHub Copilot and related AI dev tools, piloting new features, and best practices

The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk at Meta. The principal will enable the risk organization to deliver significant lift over current long range objectives for friction and leakage through the generation of new Machine Learning opportunities for the organization and support of successful delivery of the risk management ML architecture. This person will partner closely with the FRM engineering leader (Director level) and be part of Metas risk management leadership circle.
Software Engineer, ML (Technical Leadership) Responsibilities
Address core business and technical machine learning opportunities: elevate the existing portfolio of machine learning solutions to be state-of-the-art for minimizing Metas financial losses (due to leakage, good revenues loss and friction). Following are a few examples of technical and business problems we aim to address. - Provide a solution for optimizing the risk machine learning model ensemble (covering the entire end-to-end advertiser funnel including detection, decisioning, enforcement and remediation) through optimization of the current model portfolio and individual models. - Minimize the impact of the prolonged financial fraud feedback loop. - Improve models measurement and performance. - Optimize data/label strategy. - Optimize balance between specific targeted model strategy and broad umbrella model strategy to optimize for short and long term benefits
Lead Research and Introduction of Advanced Technologies: - Collaborate with Financial Integrity's senior ML Engineers to lead the research and introduction of deep learning and Large Language Model (LLM) technologies. - Remain current on industry-wide advancements in ML and introduce relevant advancements in Financial Risk Management
Collaborate on Next-Generation ML Architecture: - Work closely with financial harms principals and risk management tech leads to deliver the next-generation ML architecture for Meta's risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and Meta practices within the FRM team. - Resolve or mitigate design dilemmas, balancing business and technical trade-offs. - Identify and initiate opportunities for collaboration and impact with other organizations at Meta
Identify and Initiate New Business Opportunities: - Collaborate with Meta FinTech, Central Integrity and Core Ads Growth partnerships to identify and initiate new business opportunities based on third-party capabilities. - Conduct proof of concept for different opportunities and initiate integrations to enhance business performance
Grow Other Senior ML Engineers - Actively invest in the growth of other senior ML engineers through goal-driven formal and informal mentorship. Provide regular feedback to other engineers regarding their technical work.

We are seeking a talented Senior Full-Stack Engineer for our dynamic Agentic Browser team at the Tel Aviv R&D center. You'll play a pivotal role in developing cutting-edge web applications, utilizing your expertise in TypeScript, React and Browser extension development. Our Full-Stack Engineers are crucial in building and maintaining the robust and scalable solutions that drive our cybersecurity efforts.
You will contribute significantly to our ongoing projects, with opportunities for professional growth and skill development.
Your Impact
Research complex issues from the field and provide creative solutions
Serve as a leading individual in a very strong team professionally and personally - Were looking for someone who not only delivers his own work but improves that of those around them
Find space for growth to push the entire team or group forward - New projects, changing processes or improving existing tools
Be involved in all aspects of development, from coding to testing, playing a key role in each project phase.

We are a strong, fast-moving team developing advanced solutions in one of our companys most innovative areas - Email Security.
Were looking for a talented Frontend Engineer with strong technical skills and a passion for building high-quality user experiences. Youll join a team that values clean, scalable code and collaborative development, working closely with product, UX, and backend engineers to deliver impactful features that help organizations defend against phishing, business email compromise, and evolving email-based threats.
Youll have the opportunity to take ownership of features end-to-end, contribute to technical decisions, and grow your expertise while building products used by customers around the world.
Key Responsibilities
Design and develop next generation frontend application
Take responsibility and lead the development of multiple components of the system in a dynamic environment
Work closely with our UI/UX experts, designers and product managers to create visionary cyber security products
Research, design and develop complex data visualization solutions.

As a Senior or Principal Software Engineer in Cortex Cloud, you will contribute to the development and scaling of cloud-native security solutions for enterprise organizations. This role involves working within an established team to evolve a high-traffic product, with a focus on refining architecture, optimizing the technology stack, and maintaining engineering standards.
Your responsibilities include writing reliable code, influencing product direction, and designing distributed systems. You will be expected to make technical decisions that impact the long-term stability and performance of cloud workload protection services.
AI Integration & Engineering Workflow
A core component of our development process is the use of AI. Rather than basic code completion, we integrate AI assistants as functional components of our workflow. Our team utilizes a multi-agent AI system (IDEX/ProDex) that assists across the development lifecycle: from planning and architecture to code analysis and security reviews.
In this role, you will:
Work with AI Tools:Utilize platforms such asGemini, Claude, and Cursorfor tasks beyond code generation, including root-cause analysis, system design reviews, and architectural assessment.
Develop AI-Augmented Workflows:Help refine how AI is integrated into the SDLC, including the orchestration of agents and the development of internal tools that extend AI capabilities across our codebase.
Maintain Quality Standards:While AI assists in increasing velocity, you are responsible for the technical output. This includes critical review of all generated code and ensuring that AI-assisted work aligns with our architectural requirements and security benchmarks.
Interact with Specialized Agents:Coordinate with AI agents (Product, Architecture, Security) that operate on shared context to assist in managing complex engineering tasks.
We are looking for engineers who are interested in leveraging AI as a technical tool to manage complexity and who want to contribute to the practical application of human-AI collaboration in a cloud environment.

We are looking for a talented C/C++ real time embedded SW developer to join our team.

We are a strong, fast-moving group developing advanced solutions in some of our companys most innovative areas - the Cortex Platform. Were looking for an exceptional Senior Frontend Engineer with deep technical skills and a passion for creating exceptional user experiences. Youll join a team that values clean, scalable architecture and high-quality code, working closely with product, UX, and backend teams to deliver impactful features that protect our customers from evolving cyber threats.
Key Responsibilities
Design and develop next-generation, scalable frontend applications on the Cortex platform.
Lead the development of key frontend components, taking ownership from conception through to deployment in a dynamic, agile environment.
Proactively collaborate with UI/UX experts, product managers, and backend engineers to translate complex requirements into visionary cybersecurity products.
Research, design, and implement sophisticated and complex data visualization solutions to make security data understandable and actionable.
Uphold high standards for code quality and architecture through rigorous code reviews, automated testing, and advocating for frontend best practices.
Mentor junior engineers and contribute to a culture of continuous learning and technical excellence within the team.
Analyze and optimize application performance to ensure a responsive and seamless user experience for our customers.

Your Career
We are looking for an experienced Backend / Graph Database Engineer with experience in Neo4j to join our team.
You will be part of building a large-scale cloud security (CIEM) platform for enterprise customers, where graph-based modeling and computation are at the core of how we analyze identities, permissions, and access paths.
This role combines strong backend engineering with advanced graph thinking - transforming traditional compute-heavy permission analysis into efficient, scalable graph-based solutions.
Your Impact
Take part in the development of a large and complex cloud security (CIEM) platform for enterprise organizations
Design and implement graph-based models to represent identities, permissions, roles, and resource relationships
Build scalable services using Neo4j for real-time and batch graph processing
Optimize complex Cypher queries for performance at scale
Write clean, testable, readable, and maintainable code that performs well for thousands of customers
Design systems that meet high standards of scalability, reliability, and security
Collaborate across teams to define and deliver graph-driven security features.

As a Senior Cloud FinOps Specialist , you will be responsible for driving cloud cost optimization initiatives, providing strategic insights, and collaborating with advanced customers to achieve significant cost savings while maintaining top-notch cloud performance. Your role will encompass a deep understanding of cloud architecture aspects related to cost optimization and the ability to articulate findings in assess and recommendation documents.

Key Responsibilities:

Cloud Cost Optimization: Lead cloud cost optimization sessions by analyzing existing cloud infrastructure and identifying opportunities for cost reduction.
Advanced Customer Engagement: Collaborate with advanced customers to understand their specific cloud cost challenges, requirements, and goals. Provide tailored solutions to address their unique needs.
Analysis and Insights: Utilize your strong analytical skills to review cloud consumption data, identify inefficiencies, and recommend optimization strategies.
Cost Model Development: Create and maintain cloud cost models and pricing scenarios to support optimization efforts.
Documentation: Produce high-quality, formal documents and reports to present findings, recommendations, and cost optimization plans to customers.
Cost Monitoring: Implement and maintain cloud cost monitoring tools and dashboards to track and report on cost savings.
Cloud Architecture Expertise: Understand cloud architecture aspects that influence cost, such as resource provisioning, scaling, and resource utilization.
Cost-Effective Best Practices: Stay current with industry best practices and emerging cloud technologies to ensure our cost optimization strategies align with the latest trends.