דרושים » תוכנה » Senior Full-Stack Engineer - Endpoint Security (macOS Agent)

Justt helps many of the world’s largest and most recognizable brands turn chargebacks from a constant headache into a managed, predictable part of doing business. Our AI-driven platform powers chargeback operations at scale, automating disputes end to end, recovering revenue that would otherwise be lost, and removing a major operational burden from finance, risk, and operations teams across multiple regions and verticals. We’re a global company with teams across markets, and disciplines, working closely with leading players in the payments ecosystem. Our culture is built on clear thinking, collaboration, and a strong sense of ownership. At Justt, you’ll partner with product, engineering, data, success and go-to-market teams to build technology that sits at the core of modern payments, and has a direct, measurable impact on the bottom line for some of the biggest companies in the world. What you'll be doing: Own features end-to-end in our chargeback automation platform - from AI-powered evidence generation to real-time merchant-facing insights Take features from concept to production - plan, build, deploy, and monitor your code in production Master our tech stack (Node.js, Next.js, SQL/NoSQL, K8S, AWS) while building features across our 200+ microservices architecture Handle high-stakes data at scale - process thousands of chargebacks daily, ensure data accuracy, and maintain system reliability Be part of a strong engineering culture - work closely with engineers, product, QA, and DevOps to ship features that move the needle

As a Software Engineer, you will join our Agents team to architect, develop, and take ownership of our cross-platform endpoint security agent (sensor), a core component of our Asset Risk Management (ARM) solution. In this role, you will design and implement high-performance, low-footprint agents for Windows, macOS, and Linux, ensuring reliable and scalable data collection even in the most demanding enterprise environments. You will collaborate closely with R&D engineers, product managers, and the support team to deliver secure, sophisticated, and highly requested customer features.

What Youll Own and Deliver
Own the full feature lifecycle (from requirements to production monitoring) for our endpoint sensors and core APIs across supported operating systems.
Develop critical new features and resolve complex issues for our enterprise clients, directly contributing to the evolution of our established product.
Collaborate within an agile, small team on both the agent (C#, .Net) and the backend using a microservices architecture with short development and deployment cycles.
Design, optimize, and troubleshoot low-level components that run on multiple operating systems (Windows, Ubuntu, macOS) and containerized environments.
Provide robust production support; troubleshoot and debug issues in both on-premise and cloud deployments, working closely with customer support.
Work with other development teams to define robust APIs and Schema, ensuring data reliability, availability, and correctness across the entire system.

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 optimization systems -Develop evaluation harnesses, offline/online experiments, prompt-testing frameworks, and dashboards to balance quality, latency, and spend across all AI services.
Ship the internal AI portal - Build user-facing products that democratize AI access: prompt directories, agent designers, templates, approval workflows, and more.
Ensure security and compliance - Develop RBAC, data classification, PII redaction, audit logging, and policy enforcement.
Create robust integrations - Connect the platform with Salesforce, NetSuite, Slack, Snowflake, HRIS, and other critical business systems.
Establish operational excellence - Implement CI/CD, testing strategies, monitoring/tracing, and SLOs for high-reliability services.
Enable developers - build SDKs, CLIs, and templates that help teams create safe, scalable AI workflows. Lead technical discussions and write design documentation.

Were looking for a talented Senior Fullstack Engineer with a focus on frontend development to join our team. Your primary responsibility is frontend development using React, delivering complete UIs to support new features while maintaining the UI infrastructure, component library, and more. You will also develop backend services in Node.js and implement AI-driven features using workflows and advanced tools to enhance our platform.

What will you do:
Work with Product and design teams to lead the end-to-end development of new features
Develop a highly scalable and reliable incident management console, which is constantly handling live updates and user interactions
Own end-to-end features; system design, infrastructure, implementation, testing, monitoring and demoing the result
Impact ongoing tech stack related discussions and upgrade initiatives
Set a high standard for design reviews (within the team and the R&D), and mentor your peers to success

As our company continues to grow, an exciting opportunity awaits for a dynamic individual to join our R&D team as a Senior Full Stack Engineer. We are looking for a highly experienced Python developer to take end-to-end ownership of our entire stack. This role requires deep expertise in architecting scalable, modular, and distributed systems, a proven ability to craft modern frontend experiences, and a strong background in integrating AI-driven capabilities. The ideal candidate will be responsible for everything from data pipelines and architecture to user-facing features and the implementation of LLM-powered intelligence.

Responsibilities
Design, build, and scale backend services, APIs, MCPs, and data pipelines to support high performance, reliability, and growth
Architect and implement distributed, event-driven solutions using technologies like Kafka, RabbitMQ, or similar brokers.
Design robust systems and database models to ensure efficient data flow, maintainability, and support for AI-driven features across the stack.
Integrate Large Language Models (LLMs) into core systems, applying prompt engineering techniques to power intelligent, high-performance capabilities.
Build frontend features using modern frameworks and deliver intuitive, user-centric interfaces aligned with business and product goals.
Write clean, maintainable, and testable code with strong attention to quality, observability, and scalability.
Collaborate with product, design, and engineering teams to align technical solutions with business priorities.
Drive technical design discussions, mentor other developers, and contribute to overall architectural strategy.
Take ownership of development tasks from design and implementation through deployment, monitoring, and iteration.

Were looking for a Full-Stack Engineer who thrives at the intersection of code, data, and AI. Someone whos passionate about building impactful product experiences end-to-end while leveraging the latest AI tools and automation frameworks.

Key Responsibilities
Design, implement, and own full-stack features that improve user experience and drive product adoption.
Collaborate with product managers, UX designers, and data analysts to identify growth opportunities.
Prototype and deliver experiments quickly to validate hypotheses and learn from real users.
Integrate AI engineering (LLMs, AI Agents) into both the product and internal development processes.
Apply MCP concepts to build smarter, context-aware agent workflows.
Contribute to a modern, scalable, and performance-driven architecture across the front and back end.
Join a fast-moving team that values ownership, speed, and measurable impact.

Were looking for a Full-Stack Team Lead to join our Tel Aviv office (Hybrid) and take full ownership of a cross-functional product squad, including a cross-functional engineering team, a Tech Lead, and QA.

This is a high-impact leadership role at the intersection of people, product, and technology. Youll drive execution, delivery, and team health - partnering closely with Product, Design, and the rest of R&D to bring complex features to life, scale our systems, and ship customer value quickly and reliably.
Youll set the tone and culture for your squad, mentor engineers and leads, and turn business goals into measurable outcomes.
Expect real autonomy, hands-on impact, and the opportunity to build something that matters in a fast-moving, product-led environment.
Responsibilities:
Lead a cross-functional squad of engineers and QA through product delivery from roadmap to production
Partner with Product and Design to plan features, define priorities, and scope trade-offs
Own system architecture, delivery velocity, and long-term maintainability
Mentor engineers and Tech Leads, grow their capabilities, and support career development
Write and review high-quality code (~20% hands-on)
Guide technical decision-making and conduct design and architecture reviews
Ensure production health through observability, incident response, and performance improvements
Promote a culture of quality, agility, and continuous improvement
Collaborate cross-functionally with other squads, DevOps, QA, and leadership

This is a hands-on role where youll collaborate with product managers, data teams, architects, and fellow engineers to deliver innovative, high-impact solutions in a modern, cloud-native environment.

Responsibilities
Design and implement robust, high-throughput event-driven services and complex features in a cloud-based, microservices environment.
Own features end-to-end, from architectural design and estimation through deployment and continuous improvement.
Collaborate closely with cross-functional teams (Product, Data, Core Architecture) to ship high-quality solutions quickly.
Partner with the Product team to convert ambiguous requirements into concrete, well-defined technical specifications.
Maintain high standards of code quality, proactively troubleshoot issues, and ensure smooth operation of new and existing systems.
Provide technical leadership and mentorship, driving code quality standards and contributing to the teams roadmap.
Implement advanced monitoring, distributed tracing, and alerting for system health and incident response.

We are seeking an exceptional Engineering Manager to found and lead a new engineering team focused on developing next-generation Data Protection capabilities.

This is a high-impact, hands-on leadership role requiring both deep technical ownership across various domains (low-level, Backend, Frontend) and people leadership and product vision. You will be responsible for defining the technical direction, building the initial product components, and growing a high-performing, multi-disciplinary team from the ground up.

What will you Do?
The new team will be responsible for rapidly integrating existing capabilities and developing new, production-grade features. This will include:

Build and Lead the Team: Recruit, mentor, and manage a team of 3-6 engineers, fostering a culture of technical excellence, accountability, and innovation.
Drive Full-Stack Technical Delivery: Own the end-to-end architecture and technical design for the entire product stack. From the creation of low-level agent components to the web application controlling it, and overseeing the delivery of the entire product ecosystem.
Product & Cross-Functional Partnership: Collaborate closely with Product Management, UX Design, and multiple R&D teams to translate high-level and long-term vision into an executable product roadmap and technical specifications.

We are looking for a talented and motivated Software Engineer to join our newly formed team developing orchestration tools and platforms for AI datacenters.
The main goal of this team is to create customer-focused orchestration solutions that simplify the deployment, management, and optimization of large-scale AI workloads across a full datacenter stack - including switches, hosts, smart NICs, GPUs, ROCm, and RCCL.
You will work on the design and development of orchestration systems that bridge compute, networking, and AI acceleration domains, primarily using Python and modern full-stack technologies.
Key Responsibilities
* Design and develop software components for orchestration platforms managing AI datacenter infrastructure.
* Implement control and coordination mechanisms for compute, network, and AI acceleration resources.
* Develop backend services, APIs, and UI components using Python and modern full-stack frameworks.
* Collaborate with cross-functional teams - including networking, GPU, and system software - to integrate orchestration capabilities across multiple layers.
* Participate in architecture discussions, code reviews, and continuous integration processes.
* Contribute to testing, validation, and performance improvements of orchestration systems.
* Engage with product and customer teams to translate operational needs into effective software solutions.
Preferred Qualifications
* Exposure to **AI workloads** and GPU ecosystems (ROCm, RCCL, PyTorch, TensorFlow).
* Experience with **distributed systems, control-plane software, or cluster management frameworks**.
* Familiarity with **REST/gRPC APIs**, **microservices**, and **cloud-native architectures**.
* Background in **monitoring, telemetry, or resource scheduling systems**.
* Practical experience in **full-stack development** (React, Angular, Node.js, or equivalent).
* Experience with **test automation frameworks** (pytest, Robot Framework, etc.).