דרושים » תוכנה » Director of Engineering - ML

As a Big Data & GenAI Engineering Lead within our company's Data & AI Department, you will play a pivotal role in building the data and AI backbone that empowers product innovation and intelligent business decisions. You will lead the design and implementation of our companys next-generation lakehouse architecture, real-time data infrastructure, and GenAI-enriched solutions, helping drive automation, insights, and personalization at scale. In this role, you will architect and optimize our modern data platform while also integrating and operationalizing Generative AI models to support go-to-market use cases. This includes embedding LLMs and vector search into core data workflows, establishing secure and scalable RAG pipelines, and partnering cross-functionally to deliver impactful AI applications.
As a Big Data & GenAI Engineering Lead in our company you will...
Design, lead, and evolve our companys petabyte-scale Lakehouse and modern data platform to meet performance, scalability, privacy, and extensibility goals.
Architect and implement GenAI-powered data solutions, including retrieval-augmented generation (RAG), semantic search, and LLM orchestration frameworks tailored to business and developer use cases.
Partner with product, engineering, and business stakeholders to identify and develop AI-first use cases, such as intelligent assistants, code insights, anomaly detection, and generative reporting.
Integrate open-source and commercial LLMs securely into data products using frameworks such as LangChain, or similar, to augment AI capabilities into data products.
Collaborate closely with engineering teams to drive instrumentation, telemetry capture, and high-quality data pipelines that feed both analytics and GenAI applications.
Provide technical leadership and mentorship to a cross-functional team of data and ML engineers, ensuring adherence to best practices in data and AI engineering.
Lead tool evaluation, architectural PoCs, and decisions on foundational AI/ML tooling (e.g., vector databases, feature stores, orchestration platforms).
Foster platform adoption through enablement resources, shared assets, and developer-facing APIs and SDKs for accessing GenAI capabilities.

Were looking for a Senior DevOps Engineer to join our newly formed Foundations Teama small, high-impact group responsible for the infrastructure, tools, and shared services that power our entire R&D organization.
In this role, youll design, build, and evolve internal platform infrastructure, CI/CD systems, and developer enablement tooling. Your mission is to empower developers across the company to work autonomously, by creating self-service tools, automation, and clear standards that reduce friction and increase reliability.
Youll collaborate closely with engineers across disciplines and partner with the Foundations Team Lead to shape DevOps practices that scale. This is a hands-on role for someone who thrives in high-velocity, mission-critical environments and is passionate about building tools that make developers faster, more productive, and confident in running their own services.
What Youll Do
Design and maintain scalable, developer-friendly CI/CD pipelines and deployment workflows.
Build self-service tooling and automation that enables teams to manage deployments, environments, secrets, and observability independently
Be responsible for cloud infrastructure and operations foundations
Implement and promote best practices for monitoring, logging, and alerting across services.
Operate and optimize Kubernetes-based production environments, ensuring performance, security, and stability.
Manage infrastructure using Infrastructure as Code (IaC) and ensure repeatability and traceability through tools like Terraform.
Collaborate with R&D teams to support onboarding to internal tooling and promote a culture of enablement over dependency.
Monitor cloud cost, ensuring our cloud operates efficiently.

We are looking for an experienced Technology Architect / Technical Leader to drive the design, scalability, and evolution of our Harmony SaaS security platform. You will play a pivotal role in shaping our SaaS cloud security architecture and capabilities to protect organizations from emerging threats in real-time. This is a strategic, cross-functional, and hands-on position, suitable for a builder who thrives on ownership and technical depth.
Key Responsibilities
Architect and drive end-to-end design of large-scale, secure, and high-performance SaaS systems for cloud security, detection, and response.
Lead cross-functional projects across data, detection, and platform teams to deliver end-to-end features and capabilities.
Collaborate closely with Product Managers, Engineering Managers, and UX Designers to translate business requirements into scalable solutions.
Mentor engineers and guide the technology roadmap for the Harmony SaaS product.
Ensure operational excellence and full lifecycle ownership: design, implementation, deployment, observability, and continuous improvement.
Contribute to codebases where needed to unlock complex or foundational technical challenges.
Set architectural and technical standards for data pipelines, microservices, and cloud infrastructure.
Bring technical leadership and innovation to areas such as:
High-scale detection engines and analytics
Cloud-native threat protection
Real-time event streaming and processing
Unified SaaS security policies and visibility.

We're growing fast and looking for an experienced and passionate senior leader to head our Application Engineering groups. This is a unique opportunity to drive the development of our cutting-edge SaaS platform, purpose-built for enterprise clients in the financial services sector.
As VP of Application Engineering, you will play a key role in shaping the architecture, roadmap, and practices of our core platform. Youll help steer the evolution of our SaaS solution to meet the needs of enterprise customers, while building the technical and organizational foundations for scale. In addition to guiding development priorities, youll foster a culture of engineering excellence, collaboration, and continuous improvement across the application teams.
This role reports directly to the CTO and is part of FundGuards leadership team.
Key Responsibilities:
Own the end-to-end development of our application layer, which integrates big data technologies and a distributed services architecture built for scale and resilience.
Lead and inspire a growing organization of ~80 engineers, building a strong engineering culture focused on quality, agility, and impact.
Translate business needs into scalable technical solutions by collaborating closely with R&D leadership, Product, and Customer Success teams (across Tel Aviv and the U.S.).
Ensure timely and high-quality delivery across multiple product areas, features, and customer initiatives.
Continuously evolve engineering practices, organizational structure, and team capabilities to support FundGuards rapid growth.

Required Senior MLOps Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior MLOps Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

We are looking for a Director of Engineering to lead our growing engineering team and help shape the future of AI security. As a key leader in our organization, you will drive the development and execution of our technical vision, ensuring that our platform continues to scale and innovate. You will not only oversee ongoing engineering operations but also play a pivotal role in building and structuring the engineering organization from the ground up, fostering a high-performance culture, and implementing best practices. Additionally, you will take ownership of the core aspects of product, driving the technical strategy and innovation required to develop and enhance its foundational capabilities.
Responsibilities:
Lead and manage the engineering team, including hiring, mentoring, and developing engineers to maximize their potential and foster a culture of continuous improvement.
Develop and implement engineering strategies aligned with business goals, focusing on scalability, reliability, and innovation.
Oversee the entire software development lifecycle, ensuring timely delivery of high-quality products while adhering to best practices in architecture and coding.
Collaborate closely with product, design, and other cross-functional teams to align engineering efforts with business and product priorities.
Establish and maintain engineering standards, processes, and tools to increase team efficiency and ensure code quality.
Drive technical initiatives and innovations, staying up to date with industry trends and integrating relevant new technologies into technology stack.
Monitor and manage project timelines, budgets, and resources to meet company objectives and deliverables.
Act as a technical advisor to the leadership team, providing insights and recommendations based on technological expertise.

At our company, were reinventing DevOps and MLOps to help the worlds greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust our company to manage, accelerate, and secure their software delivery from code to production - a concept we call liquid software. Wouldn't it be amazing if you could join us in our journey?
Are you a platform engineer who thrives on designing and building scalable, high-quality services and infrastructure?Do you want to work on cutting-edge services while shaping the backbone of an ML platform? If so, wed love to have you join our company's ML our MLOps group.
As a Senior Platform Engineer, you will play a critical role in architecting and developing cloud based core services and infrastructure with a strong emphasis on clean code, performance, observability, monitoring, and security. This role also includes developing core Go/Java libraries, cross-cutting services like authentication and authorization, Kubernetes deployments, billing etc.You will collaborate closely with engineering teams, DevOps, architects, and product managers to ensure a scalable, stable, and high-performing system.
As a Platform Engineer at our company's ML you will...
Write clean, maintainable, and efficient code following best practices.
Design and develop robust backend services with scalability, performance, and security in mind.
Conduct high-quality code reviews and architecture discussions, ensuring best practices are followed.
Take full ownership of projects - from ideation and design to production deployment and maintenance.
Collaborate with cross-functional teams to define, design, and ship new features.
Stay current with industry trends, technologies, and best practices in software development and cybersecurity.
Be involved in multiple aspects of an ML platform - from data sources to inference pipelines.

We're a Fin-Tech & Prop-Tech established, growing company. Our mission is to revolutionize the way Real Estate Investment firms and investors manage their capital, processes and communication. Our Investment Management platform and services help companies raise and preserve more capital, increase investors satisfaction and reduce processes complexity - by automating their back-office operations, introducing tools for investors communication, and providing them with advanced solutions for better real-estate investment marketing efforts. our company servs hundreds of customers globally and growing year-over-year, trusted and backed-up by top high-tech investors as Insight partners and Qumra Capital.
Role Overview:
As VP Engineering, you will be the top authority and strategic leader of the companys engineering organization, overseeing the full delivery function. You will lead and expand a team of 30+ developers working within six cross-functional squads, each collaborating closely with a dedicated Product Manager. Reporting to the CTO, you will be directly accountable for execution, delivery, and the overall performance of the engineering group. This role is pivotal in translating the companys vision into scalable, high-quality technology solutions, while fostering a culture rooted in technical excellence, ownership, agility, and ongoing improvement.
What are we looking for
Key Responsibilities:
Strategic Leadership: Define and execute the long-term engineering vision and strategy, ensuring alignment with the companys overall business objectives.
Organizational Management: Lead, inspire, and grow a high-performing engineering organization of 40+ engineers. Directly manage and coach Team Leads, and oversee the performance and development of their squads.
Process & Delivery Optimization: Continuously improve engineering workflows, development velocity, and product quality by refining processes, adopting best practices, and promoting agile (SCRUM) methodologies.
Cross-Functional Collaboration: Partner closely with Product, Design, Data, and other departments to drive alignment, transparency, and shared ownership across the company.
Technology & Innovation Leadership: Serve as a key technology advocatestay ahead of industry trends and guide the adoption of tools, frameworks, and architectures that position the company for long-term success.
Data-Driven Management: Define, track, and optimize key engineering KPIs to measure success, identify bottlenecks, and support continuous improvement at all levels of the organization.
What We Offer:
Impact: A critical leadership role with broad influence over our product, technology stack, and engineering culture.
Growth: The opportunity to scale a team and processes in a fast-growing, product-driven tech company.
Innovation: A dynamic environment that encourages creativity, experimentation, and the use of cutting-edge technologies.
Team: Collaborate with a talented, motivated, and passionate group of engineers and product professionals.

we empower organizations to run in the cloud by aligning operations and security around access management. Our platform provides companies with Just-In-Time and Just Enough access across their hybrid environments reducing the access risk while improving productivity.
has offices in New York and Tel Aviv and supports dozens of customers across the US and the world, including large Fortune 500 companies and was honored in Gartner's Magic Quadrant for Privileged Access Management.

What are we looking for?
We are seeking a highly skilled and motivated Software Engineering Team Leader to build and lead our new Analysis & Discovery team. In this pivotal role, you will be responsible for the technical vision, execution, and management of the team, driving the development of modules that provide actionable intelligence in the realm of identity management, permissions, and digital identities.

About the Analysis & Discovery Team:
The Analysis & Discovery team plays a crucial role in empowering administrators with deep insights into their organization's identity and permission landscape. Our mission is to develop cutting-edge modules that allow administrators to discover, analyze, and act upon how permissions and entitlements are granted and utilized across their systems. We are at the forefront of tackling complex challenges in identity management, including the new developing field of non-human (digital) identities.

Responsibilities:
Lead, mentor, and grow a team of talented software engineers in a fast-paced startup environment.
Spearhead the design, development, and maintenance of modules focused on high-scale data ingestion,processing & inferring insights
Pioneering the development of new modules to manage and secure non-human identities.
Lead & apply Agile/SCRUM methodologies, including facilitating SCRUM ceremonies and fostering a culture of continuous improvement.
Perform deep technical dives to resolve complex issues and ensure high-quality deliverables.
Collaborate closely with product management, security researchers, and other engineering teams to define roadmaps and deliver impactful solutions.
Foster a culture of innovation, security-first, technical excellence, and strong teamwork.

Were seeking an experienced AI/ML Platform Engineer to join our Foundations team, the group behind our next-generation GenAI platform powering innovation across the company and beyond. This team is building scalable, high-performance AI systems for both internal users and external customersdesigned to run seamlessly across cloud and on-premise environments using the latest advancements in hardware. In this role, youll lead efforts in distributed training, inference at large scale, resource optimization, and robust model lifecycle management using MLOps best practices. Your work will be critical to accelerating research, supporting production-grade AI infrastructure, and driving the development of our internal AI ecosystem.
Responsibilities:
Architect and build scalable ML infrastructure for training and inference workloads across heterogeneous compute environments (on-premise and cloud).
Design and implement distributed systems to support model lifecycle management from data ingestion and preprocessing, to training orchestration and deployment.
Optimize performance and cost-efficiency of large-scale model training and serving pipelines using technologies like Ray, Kubernetes, Spark, and GPU schedulers.
Collaborate with AI researchers, data scientists, and product teams to understand their workflows and translate them into reusable platform services and APIs.
Drive adoption of best practices for CI/CD, observability, and reproducibility in ML systems.
Contribute to the long-term vision and technical roadmap of the ML platform, ensuring it evolves to meet the growing demands of AI across the company.