דרושים » תוכנה » Senior Software Engineer - ML

We are looking for a hands-on Tech Lead to join the Core Platform team within ML. Our engineering teams build the foundational systems behind global artifact storage, replication, and distribution - and increasingly power the next generation of AI/ML operations and governance.Our platform is the backbone for ML workloads: managing model binaries, versioning, and scalable runtime environments for ML and AI applications. This role combines deep distributed systems with modern ML infrastructure challenges such as high-throughput inference, safe model rollouts, and multi-cloud GPU efficiency. You will also help evolve core libraries and developer-facing tools, including logging, observability, and visibility components.
As a senior technical leader, you will influence architecture across squads, lead complex development efforts, and remain heavily hands-on.
As a Tech Lead in Core Platform in you will
Design and evolve components for managing and distributing ML/AI models and artifacts at scale
Extend the platform to support reliable, high-performance inference and training workflows
Lead cross-team technical initiatives and serve as a reference for distributed systems and ML infra design
Write maintainable, high-quality code in performance-critical areas.
Mentor engineers and drive strong engineering practices
Collaborate with adjacent teams to ensure seamless end-to-end ML platform behavior
Improve the reliability, efficiency, and observability of core services

We are seeking a highly motivated and experienced Team Leader to join our Fly group and be responsible for planning, coordinating, and leading technical projects across the full delivery lifecycle.To join us, you should bring strong hands-on leadership, combining technical excellence with innovation, leading by example, and mentoring your team while fostering close collaboration with product partners and external stakeholders.
As an R&D Team Leader you will:
Lead a team of 5-7 developers working on a large-scale, complex, and innovative product
Manage the delivery of multiple domains within the product, spanning various disciplines and technologies from design through release
Identify and manage risks and challenges, ensuring alignment, commitment, and high-quality execution across all stakeholders
Make key decisions that focus effort on the most impactful opportunities for the successful implementation of team initiatives
Take an active role in recruiting, onboarding, and mentoring new team members to build a strong, collaborative, and high-performing team
Contribute to the architecture and design of the different solutions, while exploring new technologies to drive innovation and scalability.

we are looking for a talented R&D Team Leader to join our innovative development team. As a vital part of our mission to deliver leading security solutions, you will contribute to the development of security products that ensure the safety and integrity of our customers' software throughout the entire lifecycle, from code development to runtime operations. If you thrive in dynamic environments, take ownership of features from end to end, and are eager to mentor and share knowledge with the team, this is the role for you!
To join us, you should demonstrate hands-on leadership while providing guidance and support, as well as assisting developers at the code level.
As an R&D Team Leader Security, you will...
Lead a team of 4-6 developers, working on large-scale, complex, and cutting-edge systems.
Manage the delivery of multiple, complex, simultaneous development projects from design to release.
Ensure that risks and issues are identified and managed closely, while driving all stakeholders to deliver on time and to the required quality standards.
Make key decisions to ensure the right effort for the successful implementation of all initiatives.

The Core Platform Engineering group is looking for a passionate, talented, and strong DevOps Engineer to drive the design and development of our next-generation SaaS Management Platform and infrastructure that delivers our Liquid Software vision to thousands of organizations across all major cloud providers (AWS, GCP, & Azure).
You will work with a team of highly-skilled, passionate DevOps engineers building a cloud-native infrastructure to smoothly run our systems and automate all aspects of our engineering platform. You should be driven by technology and enjoy automation, while being passionate about customer satisfaction.
As a DevOps Engineer , you will...
Work with cutting-edge technologies, utilizing the latest tools like Kubernetes, Helm, Prometheus, Thanos, and OpenTelemetry to build next-generation SaaS platforms
Operate across major cloud providers, including AWS, GCP, and Azure to build and scale our infrastructure, while proactively identifying bottlenecks and inefficiencies to implement automation and optimization solutions
Design, deploy, and optimize Kubernetes-based environments for applications to ensure high-availability and scalability
Establish and manage comprehensive monitoring and logging systems, such as Coralogix and Grafana, to proactively identify issues and ensure full uptime in production environments
Collaborate closely with various teams across , including R&D, Product, and Security, to ensure that DevOps practices adhere to security standards and compliance requirements
Participate in technical discussions to influence the roadmap and help make key decisions regarding the successful implementation of cloud platform initiatives
Design innovative solutions for monitoring large-scale SaaS environments, keeping both application and infrastructure challenges in mind
Implement CI/CD automated processes with a heavy emphasis on monitoring tools and deployment orchestration to streamline delivery

Required Machine Learning Platform Engineer
Team Overview
The ML Platform team builds the core infrastructure, services, and systems that enable machine learning at scale across the company.
We own the full lifecycle of ML workloads - from research and experimentation to reliable, large-scale production deployment.
The team focuses on:
Building scalable backend and infrastructure solutions for end-to-end ML workflows
Developing core ML platform components, including data processing, training, evaluation, and deployment
Empowering data scientists and product teams with robust, observable, and high-performance ML infrastructure
Solving complex challenges around scale, latency, throughput, reliability, and cost efficiency
Continuously evolving the ML platform by adopting new technologies and improving system performance and stability
What will you do?
As a ML Platform Engineer, you will design and build core backend systems and ML infrastructure that power research, training, and online inference at scale.
You will work at the intersection of backend engineering, data engineering, and machine learning, partnering closely with data scientists to transform research needs into production-grade platform capabilities with real business impact.
Key Responsibilities
Design, build, and own backend systems that support ML workflows, data processing, and core platform services
Architect and optimize systems for performance, scalability, reliability, and cost efficiency in production ML environments
Collaborate closely with data scientists to implement, iterate, and evolve ML platform capabilities
Build and maintain large-scale data ingestion, processing, and training pipelines
Ensure systems are production-ready through testing, observability, monitoring, and performance optimization
Investigate and resolve infrastructure and performance issues affecting critical ML and business KPIs.

Required Senior Machine Learning Platform Engineer
What will you do?
As a Senior ML Platform Engineer, you will design and build core backend systems and ML infrastructure that power research, training, and online inference at scale.
You will work at the intersection of backend engineering, data engineering, and machine learning, partnering closely with data scientists to transform research needs into production-grade platform capabilities with real business impact.
Key Responsibilities
Design, build, and own backend systems that support ML workflows, data processing, and core platform services
Architect and optimize systems for performance, scalability, reliability, and cost efficiency in production ML environments
Collaborate closely with data scientists to implement, iterate, and evolve ML platform capabilities
Build and maintain large-scale data ingestion, processing, and training pipelines
Ensure systems are production-ready through testing, observability, monitoring, and performance optimization
Investigate and resolve infrastructure and performance issues affecting critical ML and business KPIs.

we are looking for a Senior Full Stack Engineer.
As a Senior Full Stack Engineer within the Platform Services group, you will be a key member of the Frontend core team, which forms the backbone of our platform's frontend development. We are seeking a highly skilled individual with extensive full-stack experience.
This role is crucial for building frontend infrastructure, libraries, and tools for entire frontend community, demanding strong leadership, monitoring skills, and integrity, while leveraging cutting-edge web and cloud technologies.
As a Senior Full Stack Engineer you will...
Lead the development of foundational frontend components and services for the Platform Services group, ensuring other teams have robust and reliable building blocks
Write high-quality, testable, and efficient code, using TypeScript and Vue
Develop and maintain production-level Node.js services to support platform-wide features
Provide mentorship and technical feedback to other engineers on the team, fostering a culture of learning and growth
Initiate and promote innovative ideas for the continuous improvement of our frontend and Node.js infrastructure and tool functionality
Integrate cutting-edge AI tools and methodologies into development and research workflows to boost efficiency and foster innovation. Stay current with the latest advancements in AI

We are looking for a strong Full Stack Engineer to join our team, which is focused on improving the conversion rate of leads to paying customers. We are building a product with high scalability in mind, which will require you to solve challenging problems on a daily basis. As a Full Stack Engineer, you will be expected to understand the product, work closely with team members to build new features, enhance our platform, and take ownership of your work. You should be passionate about delivering high-quality, functional user interfaces while working in a fast-paced environment. Join us to drive user journey innovation and streamline customer acquisition processes.
As a Full Stack Engineer you will...
Join a high-impact team dedicated to improving lead conversion rates and enhancing user experiences on our platform.
Drive the development of robust, high-quality software with strong test coverage and engineering best practices.
Collaborate through peer code reviews that promote knowledge sharing and continuous improvement.
Own the full development lifecycle - from shaping feature design to deploying and supporting production systems.
Take the lead on back-end architecture, leveraging Node.js and Java while introducing microservices, optimizing performance, and ensuring system reliability.
Build intuitive and responsive user interfaces with Vue.js that deliver personalized and data-driven user experiences.
Become the technical authority in your domain, guiding decisions and mentoring peers as the go-to expert.
Work closely with other development teams, as well as marketing and sales teams, to incorporate their requirements into your solutions.

We are seeking an experienced, hands-on Senior AI Engineer to join the Generative AI applications Platform group and lead the backend implementation and architecture of AI/LLM solutions - from agent graphs and tooling to RAG, streaming, and production deployment.
As a Senior ML Engineer you will
Design and own agent architectures - Build and evolve graph-based agent workflows (multi-node LLM flows, tool execution, routing, human-in-the-loop review gates) using LangGraph, with clear state schemas, checkpointing, and streaming to production.
Turn product and user needs into backend AI - Work with Engineers, Product, and Analysts to translate business problems into technical requirements and implementations, including agent types, tools, RAG pipelines, and configuration-driven behavior.
Design, develop, and deploy GenAI capabilities end-to-end - LangChain tools and integrations, RAG (retrievers, vector stores, agentic flows), structured outputs, and APIs for chat, Copilot-style integrations, and MCP.
Raise the bar on quality and reliability - Establish patterns for observability (e.g., LangSmith), error handling, content safety, bounded autonomy (tool schemas, review workflows), and evaluation systems so that AI behavior is predictable and auditable.
Mentor and align the team - Provide technical guidance on LLM backend architecture and LangGraph/LangChain best practices so the team can iterate quickly and safely.

We are seeking a visionary Director of Engineering with a strong product mindset to lead the strategy, development, and scaling of our Software Supply Chain security product. As a Director of Engineering, you will lead teams building an enterprise-grade Software Composition Analysis solution, meeting the growing needs of our customers and supporting the ever-evolving development ecosystem.
As a Director of Engineering, you will...
Build, lead, and mentor multiple cross-functional teams of developers to deliver a scalable and reliable product
Foster a culture of collaboration, automation, and continuous improvement within the engineering organization
Define and implement procedures and workflows, enabling rapid innovation alongside ensuring enterprise-grade quality of the delivered product
Architect and deliver an enterprise-grade solution that operates in both SaaS and self-hosted environments
Partner with engineering leaders, product teams, and business stakeholders to ensure successful product adoption by the customers