We are looking for a skilled and motivated Senior Python Backend Engineer to join our Surveillance Engineering team. The ideal candidate will have a deep understanding of software development and technical expertise. This is a hands-on role for someone who wants both depth and ownership: youll design and build complex components, drive architecture and technology-selection decisions, and stay close to the product in production. The position requires strong collaboration and communication skills as you will be working alongside engineers, data scientists, and domain experts.

About the Surveillance Group: The Surveillance group at our company builds and operates advanced AI solutions. Our team is composed of engineers, data scientists and subject matter experts who work together to deliver a high-quality, production-ready Surveillance product. We push the boundaries of what is possible and measure ourselves by the impact we deliver to our clients.

Lets get down to business:

What Youll Do:

Design, build and maintain the software infrastructure and solutions that make up our Surveillance pipeline, combining classic machine learning models and GenAI models with complex business logic and analytical components.
Own significant architecture decisions and evaluate and select the technologies we build on.
Solve complex engineering problems end to end, from investigation and design through implementation and rollout.
Collaborate with engineers, data scientists and subject matter experts to deliver high-quality, production-ready that are fully integrated and scalable.
Support the product in production: investigate issues, improve observability, and make the system easier to run.
Build and operate services in containerized environments (Docker, Kubernetes) on AWS.
Hold a high engineering bar: meaningful unit tests, solid CI/CD following best practices.
Keep current with developments in software engineering and production ML infrastructure.

We are looking for a highly driven and experienced AI Engineer Team Leader to manage and mentor a core team of engineers while remaining 50% hands-on. In this critical role, you will lead the development of our enterprise Agentic AI platform, blending deep technical expertise in AI agent development with strong engineering leadership.
As a Team Leader, you will drive the technical agenda, plan sprints, and collaborate closely with Product Managers and cross-functional partners to turn powerful capabilities into reliable, safe, and fast product experiences. You must thrive in a high-pressure, dynamic startup environment characterized by a fast pace and frequent pivots, ensuring your team remains focused, agile, and aligned with business goals while executing at the highest level.
You won't just manage - you'll own agent workflows end to end, from design through evaluation, deployment into the tools employees use daily, and iteration in front of enterprise customers.
Responsibilities
Team Leadership & Management (50%): Manage, mentor, and grow a team of AI and software engineers. Oversee task allocation, sprint planning, and daily agile ceremonies.
Hands-On Engineering (50%): Actively code, design, and build multi-agent systems and orchestration - intent routing, planning, tool use, and coordination across specialized agents.
Technical Strategy & Architecture: Drive the technical agenda, architecture decisions, and best practices for developing scalable, LLM-driven applications grounded in our knowledge graph.
System Integration: Integrate LLMs with tool/function calling and protocols such as MCP to give agents controlled access to HCM systems, business logic, and workflows.
Production Excellence: Build evaluation harnesses, guardrails, and safety/bias checks. Optimize agents for latency, cost, and reliability at enterprise scale. Take agents from prototype to production - with monitoring, observability, and a fast iteration loop.
Cross-Functional Collaboration: Work intimately with Product Management, Data, and Design teams to translate customer needs into agent capabilities, define roadmaps, and prioritize tasks.
Agility & Execution: Lead the team through frequent pivots and rapid development cycles, ensuring high-quality delivery under pressure in a fast-paced startup environment.

As an MLOps Team Leader, you will own our AI infrastructure and backend engineering efforts, leading a team at the intersection of systems design and machine learning to build the engineering systems that turn Deep Learning and Computer Vision research into reliable, scalable production features.

What Youll Be Doing:
Lead MLOps Engineering: Own the roadmap and execution for a team of backend and AI infrastructure/MLOps engineers, setting technical direction, removing blockers, and holding the bar on delivery quality.
Build Production AI Systems: Design and implement production-grade, end-to-end AI solutions, including agentic workflows, that integrate Deep Learning models and Computer Vision algorithms into real features. Own the offline experimentation and validation layer, including POC environments that let the Algo team move from research to production confidently.
Architect Data Platforms: Drive the design and implementation of scalable data platforms and pipelines that power our AI capabilities reliably and with an eye on cost and scale.
Cross-functional Collaboration: Work closely with the Algorithms and Data teams to tackle complex, real-world problems, translating research into shippable, maintainable systems.
Elevate Engineering Standards: Champion Software Engineering and System Design best practices across the group, introducing the right methodologies, tooling, and culture of craft.

Our group is responsible for building software enabling both the large-scale quantitative research operations that drive our platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firms next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

Required Data Engineering Manager
Data, Ramat Gan, Israel (Hybrid)
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
As an Engineering Manager in the data department, youll build and scale our data platform and data apps that powers our business insights. Youll design and implement robust pipelines to process billions of daily records, leveraging cutting-edge cloud technologies to transform data into actionable intelligence.
If youre passionate about data engineering and driving business growth through insights, wed love to hear from you!
Responsibilities:
Lead and grow Data Engineering and Machine Learning teams in a high-scale environment (tens of billions of events per day).
Own the design and evolution of a self-service data platform enabling internal teams to easily build, ship, and consume data products.
Architect and scale batch and streaming pipelines powering core business and ML use cases.
Drive production ML systems end-to-end (recommendation, ranking, prediction) with direct business KPI impact.
Ensure reliability, scalability, and observability of large-scale data and ML systems in production.

We're looking for an experienced hands-on Software Engineering Team Lead to lead a highly skilled team of backend and frontend engineers through implementation, delivery, iteration, and build scalable systems that serve our customers.

Responsibilities:
Foster a positive, collaborative culture and grow the teams capabilities.
Lead and mentor engineers to ensure on-time delivery, quality development, productivity, and efficiency by conducting and lead design reviews & code reviews.
Work together with product managers to translate requirements into scalable technical solutions.
Balance refactoring and evolution with steady delivery of new features.
Drive a culture of technical excellence, ownership, and continuous improvement.
Oversee system reliability, monitoring, performance optimization and incident response.

we are looking for a Embedded Software Group Lead- Interceptor Systems.
As the Software Group Lead, you will be the primary architect and execution lead for a cutting-edge missile interceptor system. This is a high-stakes executive role requiring a rare blend of low-latency embedded engineering and high-level Command & Control (C2) orchestration. You will be responsible for building a multi-disciplinary software team from the ground up, defining the software lifecycle, and ensuring the seamless integration of missile subassemblies with ground-based mission control.
We are looking for a "builder" mentality, capable of switching between high-level architectural strategy and driving end-to-end delivery from concept to field deployment.

We're hiring a Solutions Engineer Manager to lead the engineers who build the two-way integrations connecting agents to our customers' enterprise systems - and to turn that work from a series of custom projects into a repeatable engine.
Where you own and where you partner. Technical Project Managers own the project plan and the customer-facing schedule. You own the execution: the estimates your team commits to, the quality of what ships, and the health of what runs in production. When a date is at risk, the TPM manages the customer conversation; you own the engineering path back to green.
How the team grows. You'll lead and hire a team of 4-8 Solutions Engineers. Within your first year we expect the charter to broaden into DevOps and product-adjacent engineering, and we expect you to define that team and hire it. If you want to build an org rather than inherit one, this is the job.
This is a Tel Aviv-based role, with travel to our US office and to global customers.