דרושים » הנדסה » Software Engineer - AI Native

We are looking for a highly skilled and motivated Senior II Software Engineer to join the Operational Experience engineering team. The team is part of the Customer Experience group, which is responsible for the platform, tools, and customer-facing experiences that power how our customers interact with our ecosystem. This is a high-impact, hands-on role, in which youll be working closely with product managers, designers, customer-facing teams, and engineering partners across the company.

You will operate at the intersection of backend engineering, data-intensive systems, platform development, and customer experience. The ideal candidate brings strong expertise in Node.js and TypeScript, along with deep experience working with large-scale data stores, event-driven pipelines, data models, and high-throughput infrastructure. You will work closely with cross-functional partners to design and implement robust backend services, data-access patterns, and operational workflows that power the portal and internal tools. As we invest heavily in Agentic AI, you will also play a central role in shaping and implementing AI-driven capabilities across the platform. While the role is primarily backend, you will occasionally contribute across the full stack when it supports end-to-end delivery.

If you enjoy owning complex problems end to end, improving systems at scale, and building experiences that bring real value to customers, we would love to meet you.

What you'll be doing:
Drive technical direction and architecture within the OX team and across the broader CX organization. You will proactively identify opportunities to improve performance, resilience, cost, scalability, and developer experience, primarily in backend systems but with influence across the stack.
Lead the development of AI-driven and Agentic AI capabilities. Define how LLMs integrate into our platform, build AI-powered workflows, and establish strong engineering patterns for safe and reliable adoption.
Own and evolve the data foundations behind the portal. Optimize pipelines, improve data quality and freshness, and design resilient data-access patterns across Snowflake, Elasticsearch, Kafka, Redis, MySQL, and related systems.
Work closely with product, design, customer-facing teams, and partner engineering groups. Turn ambiguous problems into clear execution plans and ensure alignment with customer and business goals.
Shape shared standards and platform best practices. Guide other teams on backend services, data integration patterns, portal development approaches, and AI-enabled workflows.
Mentor and elevate engineers across the CX group. Promote engineering excellence, share knowledge openly, and help teams adopt effective modern development practices.
Own delivery of high-impact initiatives. Contribute hands-on when needed, remove blockers, maintain execution momentum, and drive projects from concept to production.

Were looking for a Senior Software Engineer to join our growing R&D team. In this role, you will play a critical part in designing, building, and optimizing complex systems that power our AI-driven platform. Youll work across the stack- primarily on backend services - with opportunities to influence architectural decisions and build highly scalable and performant systems. Youll collaborate closely with AI, product, and frontend teams to bring advanced features to life and ensure a seamless, intelligent experience for our users.

This is a high-impact role for someone who is passionate about engineering excellence, eager to shape systems end-to-end, and ready to grow with a fast-moving, AI-first company.

Key Responsibilities:
Design, develop, and maintain robust backend systems and services.
Ensure the scalability, performance, and security of backend components.
Collaborate with front-end developers and data teams to integrate user-facing elements with server-side logic.
Optimize the platform's infrastructure to handle large-scale data processing and analysis.
Troubleshoot and debug complex issues, identifying and implementing the most effective solutions.
Contribute to the architecture and system design decisions for the backend infrastructure.
Stay up to date with industry trends and new technologies to continuously improve backend performance.

we are transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh, our intelligent, adaptive mesh storage system. Unlike traditional data infrastructures, which become more fragile as compute environments grow and performance demands increase, NeuralMesh becomes faster, stronger, and more efficient as it scales - providing a flexible, adaptable foundation for enterprise and agentic AI innovation that maximizes GPU utilization, accelerates time to first token, and lowers the cost of innovation.
we are a growth-stage company backed by world-class venture capital investors and AI infrastructure industry leaders. Our technology, purpose-built for AI, has garnered over 140 patents and is trusted by more than 30% of Fortune 50 enterprises, as well as the worlds leading hyperscalers, neoclouds, and AI innovators. Our team is customer-obsessed and works accountably, boldly, and collaboratively to ensure customer success. If we sound like your kind of people, join us!
About the role
At our company, were building a next-generation platform for validating large-scale distributed systems. Our goal is to continuously ensure the correctness, performance, and resilience of the company Data Platform across every layer of the stack.
As a Senior Software Engineer, youll work hands-on on the systems and frameworks that test, stress, and validate complex distributed infrastructure under real-world conditions. Youll help design and build automated environments that simulate scale, concurrency, and failure scenarios, and youll contribute to evolving how we ensure reliability and correctness in modern infrastructure systems.
This role is ideal for engineers with a strong distributed systems background who enjoy deep technical problem-solving, working close to the system, and building tools that improve quality, stability, and confidence at scale.
What Youll Do
Design and implement core components of a distributed testing infrastructure and quality platform.
Build automated frameworks to validate functionality, performance, and resilience at scale.
Collaborate closely with infrastructure, storage, and platform teams to ensure quality is built into the development lifecycle.
Contribute to improving tooling, test coverage, and engineering best practices across the organization.

We are seeking a passionate and proactive Intermediate Backend Engineer(or an experienced Junior ready for the next step) to join one of our core development team. This is a high-impact role for a fast learner and natural problem-solver who has mastered the basics, is genuinely excited about technology and building robust, scalable systems and ready to take full ownership of complex features.
We are looking for someone who doesn't just code, but who lives and breathes technology. The ideal candidate is up-to-date with industry trends, has a history of writing substantial code, and has worked on interesting, complex systems-whether in a professional environment, the army, or through significant personal projects. If you are self-motivated, eager to take ownership, and thrive on getting things done, we want to hear from you.
What You'll Do:
Be an active, hands-on member of the software development lifecycle, from product and software design to implementation and testing.
Write high-quality, maintainable, and efficient code, primarily in Python.
Quickly learn and gain a deep understanding of our product architecture, design patterns, and development processes.
Develop, deploy, test and maintain robust RESTful APIs and (mostly)backend services. You will design and implement scalable microservices within an event-based ecosystem..
Collaborate on maintaining our 24/7 live production environment, troubleshooting and resolving issues as they arise.
Collaborate with DevOps and infrastructure teams to ensure smooth deployment and reliability.

In this role, you will contribute to building resilient and performant systems that process large volumes of infrastructure metadata and make it accessible for product teams and customers alike. Youll work alongside experienced engineers and gain exposure to platform-wide initiatives across ingestion, processing, and query pipelines.

What Youll Do:

Collaborate with engineers on the REDAPL team to design, implement, and maintain scalable backend systems for processing infrastructure data
Participate in system design discussions and contribute to decisions around performance, reliability, and cost-effectiveness
Write high-quality, well-tested code and contribute to continuous improvements in system operability and developer experience
Support product teams as they integrate with REDAPL, helping them build reliable features on top of our platform
Help debug and resolve production issues, participating in on-call rotations as needed

Software Engineer (Platform)
About the team:
Our engineering team builds and operates the backend and infrastructure systems that power our products at scale. We are a highly collaborative team, focused on reliability, performance, and scalability, taking ownership of core services and the infrastructure that supports them.
The team works closely with infrastructure and DevOps practices day to day, including cloud infrastructure, deployment pipelines, database design, monitoring, and system automation. While our primary focus is backend and infrastructure engineering, we own and maintain a few web apps, both internal and external.
In addition, the team is responsible for handling inbound and outbound integrations with our customers. This includes maintaining and optimizing the infrastructure and tools required for that process.
We also own and evolve the LLM & ML infrastructure that underpins key parts of our business, continuously optimizing for performance, stability, and cost efficiency as these systems scale.
Partnership is central to how we work. We collaborate closely with Product, DevOps, and other engineering teams to turn product ideas into robust, long-term technical solutions. We value engineers who enjoy working close to infrastructure, thinking holistically about systems, and contributing beyond strict role boundaries when needed.
Role and Responsibilities:
As a Backend & Infrastructure Engineer, you will design, build, and operate production-grade systems that serve as the backbone of our products.
Your responsibilities will include:
Owning and evolving core backend services with a focus on reliability, performance, and scalability
Designing and maintaining infrastructure components, including cloud resources, deployment pipelines, and monitoring systems
Leading database design, migrations, and operational stability of data-intensive services
Operating and optimizing LLM/ML infrastructure, improving performance, resilience, and cost efficiency
Supporting customer integrations by building and maintaining robust inbound and outbound integration systems
Collaborating closely with Product, DevOps, and other engineers to translate product requirements into long-term technical solutions
Contributing to frontend or cross-stack work when needed to deliver complete, end-to-end features
This role is ideal for engineers who enjoy working close to infrastructure, take pride in operational excellence, and like contributing across system boundaries rather than staying narrowly scoped.

Your Career The SASE Platform team builds and operates highly available, secure, and globally distributed services that protect users, applications, and data for some of the worlds largest enterprises. Our mission is to deliver cloud-native security and networking capabilities that seamlessly converge networking and security at scale. As enterprises accelerate adoption of cloud, remote work, and AI-driven workloads, the need for resilient, observable, and secure SASE platforms has never been greater. As an SRE, you will play a critical role in ensuring our platform is reliable, scalable, performant, and secure from day one. Your Impact As a Site Reliability Engineer, you will be an integral part of the product and platform lifecycle, partnering closely with software engineers, security experts, and infrastructure teams. You will: Collaborate with development teams to embed reliability, scalability, and operability into services from the earliest design stages Design, review, and evolve cloud-native architectures to improve availability, performance, cost efficiency, and fault tolerance Build and operate automation for provisioning, deploying, and managing infrastructure at global scale using Infrastructure as Code Improve CI/CD pipelines and release processes to enable safe, fast, and repeatable deployments Drive observability best practices, including metrics, logs, traces, SLIs/SLOs, and data-driven incident analysis Participate in on-call rotations, continuously reducing MTTR through automation, runbooks, and proactive reliability improvements Mentor and guide engineers on large-scale cloud and SASE deployments, fostering a strong SRE culture Participate in architecture and design reviews, bringing a reliability and operational excellence mindset Champion reliability, security, and operational maturity across the organization.

Your Mission As a Senior Full Stack Engineer, you are a core partner in the product team, shaping not just how we build, but what we build. Your mission is to architect high-scale systems within a dynamic environment where engineering excellence meets rapid innovation.

You will join a culture of radical end-to-end ownership, where teams deploy to production dozens of times a day. Leveraging a diverse, modern tech stack and cutting-edge tools, you will turn complex architectural challenges into seamless user experiences, knowing that the code you ship in the morning can impact thousands of brands by the afternoon.

Key Responsibilities:
System Architecture: Architect robust, scalable full-stack solutions. You arent just writing code; you are making critical decisions on data modeling, API design, and system resilience.
End-to-End Ownership: Own your features from the whiteboard to production. You build it, you ship it, you run it-giving you complete control over your craft.
Strategic Influence: Partner directly with Product Managers and Designers during Discovery. Your technical insights will validate feasibility and shape the product roadmap before a single line of code is written.
Mentorship & Quality: Be a force multiplier. By conducting code reviews and mentoring junior engineers, you will raise the collective technical bar of the entire team.

At our company, were building the next-generation testing platform that will redefine how complex distributed systems are validated at scale. Our mission is to create an automated, intelligent testing environment that continuously validates the correctness, performance, and resilience of the company Data Platform across every layer of the stack. This is an opportunity to reinvent how next-gen infrastructure is tested, leveraging both proven engineering techniques and the latest AI-driven approaches. Youll work on solving some of the hardest challenges in large-scale systems engineering: How do you validate correctness in deeply parallel I/O systems? How do you uncover reliability gaps that appear only under extreme concurrency? How can AI tools help us automatically generate test scenarios, analyze failures, and predict weak spots before they occur? As a Staff Software Engineer, youll be at the center of these questions. Youll set the technical direction, design testing frameworks that scale with our product, and partner across engineering to raise the bar for quality.
What Youll Do:
Design and implement a next-generation testing and quality framework for distributed systems, enabling automated validation of functionality, performance, and resilience.
Leverage AI-driven tools to scale the testing environment, including automated test generation, intelligent workload synthesis, and anomaly detection.
Create end-to-end testing environments that simulate real-world scale, stress, and failure conditions.
Define and drive the technical strategy for testing across our company, setting the standard for quality engineering.
Mentor and influence engineers across teams, fostering a culture of technical rigor and reliability obsession.
Collaborate with product and infrastructure teams to ensure the testing platform is deeply integrated into our development lifecycle.

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.