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Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all our engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI, covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 3-4 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.

Required Senior Backend Engineer
As a Senior Backend Engineer, you'll dive into complex technical challenges, craft innovative solutions, and play a pivotal role in our mission to revolutionize the way companies understand their customer interactions. We're seeking a Java professional who can leverage their deep knowledge to drive our backend development to new heights.
Youll Own:
System Architecture: Leading the design and implementation of complex, scalable, and high-performance backend services and APIs.
Feature Lifecycle: Taking end-to-end ownership of major product initiatives, from initial design to coordinating delivery across Backend, Frontend, and Product teams.
Engineering Standards: Establishing and driving team-level best practices for code quality, testing strategies, and CI/CD processes.
Youll Solve:
Technical Complexity: Analyzing and debugging intricate challenges across the stack to ensure long-term system reliability.
Cross-Functional Friction: Managing risks and coordinating dependencies between multiple teams to ensure seamless feature delivery.
Scalability Bottlenecks: Implementing preventive measures and high-performance solutions to keep services running smoothly under load.
Youll Impact:
System Integrity: Building the foundation for high-performance services that directly affect the stability and speed of the entire product.
Operational Excellence: Elevating the team's technical bar through the implementation of robust CI/CD and quality processes.
Strategic Delivery: Shaping how major initiatives are executed, ensuring technical excellence is balanced with business milestones.
We operate in a flexible hybrid work model.

Required Engineering Team Lead - Application Infrastructure
As an Application Infrastructure Team Lead, youll spearhead the development of the core frameworks and services that power our entire ecosystem. In this role, youll sit at the vital intersection of application development and systems engineering, ensuring our platform remains resilient, high-performing, and developer-friendly as we scale.
If you are a technical heavyweight who loves Java but thrives on leading teams through complex data and infrastructure puzzles, this is your opportunity to build the foundation for our next phase of growth.
Youll Own:
Team leadership & mentorship: Guiding a high-performing engineering team and fostering a culture of ownership and excellence.
Core application infrastructure: Designing and maintaining mission-critical frameworks using Java and Spring Boot.
Technical standards: Defining and enforcing the benchmarks for code quality, system performance, and security across the entire stack.
Streaming & messaging pipelines: Owning the reliability and scalability of asynchronous communication using Kafka or SQS.
Youll Solve:
Data layer optimization: Leading specialists to tackle challenges in high availability and performance across PostgreSQL, MongoDB, OpenSearch, and Redis.
Distributed systems complexity: Designing robust pipelines for asynchronous communication and data streaming at scale.
Architecture gaps: Bridging the gap between DevOps and Product teams to align infrastructure capabilities with evolving business needs.
Youll Impact:
Engineering velocity: Providing the foundational building blocks that empower all product engineering teams to build faster and better.
System reliability: Ensuring the high availability, scalability, and security of mission-critical systems.
Technical culture: Driving a mindset of continuous improvement and technical excellence that resonates across the R&D organization.
We operate in a flexible hybrid work model.

Were looking for a hands-on, delivery-focused Team Lead to build and lead a full stack data oriented team responsible for developing our DEX platform. You will drive execution excellence, enforce engineering standards, and collaborate cross-functionally with product, infrastructure, and other teams to deliver high-quality, production-ready platform that scale.
Youll be joining a growing R&D group with strong technical talent, high delivery standards, and clear leadership support. Youll have the opportunity to shape your teams direction, build impactful infrastructure, and work closely with cutting-edge initiatives and technologies.
How Youll Spend Your Day
Team Leadership
Guide and mentor a team of full stack engineers, promoting accountability, ownership, and technical growth
Drive a culture of proactive communication, quality-first mindset, and collaborative problem-solving
Manage delivery timelines and expectations with strong focus on predictability and transparency
Planning & Execution
Ensure features are well-scoped, designed, and reviewed
Own the planning process: dependency management, early risk identification, and cross-team alignment
Lead sprint ceremonies effectively, with clear goals, action items, and follow-ups
Technical Excellence
Own high-level and detailed designs for team-delivered features
Ensure thorough design and PR reviews that align with architectural and security standards
Enforce coding best practices, testing, documentation, and observability
Cross-Team Collaboration
Work with PMs, infra, automation, and other teams to build scalable platform features
Align on feature requirements, UI standards, and integration contracts
Quality & Ownership
Ensure all deliveries meet definition of done: tested, documented, production-ready
Oversee E2E testing, internal and cross-team, as well as production rollout readiness

Were looking for an experienced Data Engineer to join our DEX Platform and help drive the next stage of our growth. In this role, youll design, build, and scale data infrastructure and advanced processing pipelines that power real-time insights and intelligent automation across our platform.
As a senior data engineer, youll own the full service lifecycle-from architecture and development to deployment, monitoring, and scaling-while ensuring data quality, reliability, and compliance. Youll work closely with backend, AI, and data teams to deliver robust, production-ready systems that support our AI-first strategy and our mission to make the workplace run itself.

we are looking for a Devops engineer.

we are looking for a AI/ML Applied Researcher.
As AI Applied Scientist, youll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore, research, and develop cutting-edge solutions that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team, you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, and stay at the forefront of the technologies in the world, witnessing firsthand their impact on our customers.
A Day In Your Life:
Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models.
Research, design, and build anomaly classification, predictive, insights, recommendations, and other types of models from various data sources, including sensor time-series data, textual data, images, and more.
You will Ensemble multi-modalities by exploiting and enriching the most from our data collections platform and feature extraction and store phases, using classic statistical methods, deep learning, Transformers, Graphs, Foundations Modules (as TSFM, Graph Transformer, TGNN), and any available technology to extract recommendations for taking real-world, life-changing actions.
Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data.
Work with cloud-based big data platforms for training, distributed processing & experiments tracking (e.g., Metaflow, Grafana, Outerbounds, Databricks).
Partnering and contributing to modern technologies: LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis.
As part of our hybrid working policy, you will be expected to work from the office at least twice weekly, which includes at least one day in Haifa.

You are a Senior AI Software Engineer looking to join a GenAI Infrastructure team and build production-grade GenAI capabilities and the infrastructure behind them. You will be a hands-on engineer focused on AI agents, RAG pipelines, tool-calling workflows, backend services, data access layers, evaluation, observability, and reusable GenAI infrastructure used across product teams. You will not be focused solely on model research or prompt design. Instead, you will be a strong software engineer who can design, build, ship, and operate reliable AI-powered systems in production.
A Day In Your Life
Build reusable infrastructure, SDKs, and internal frameworks for AI-powered product capabilities.
Design and implement AI agents, RAG flows, tool-calling workflows, and LLM orchestration pipelines.
Build production-grade GenAI services, APIs, and backend infrastructure.
Integrate LLM workflows with internal microservices, data platforms, vector search, and event-driven systems.
Design secure data-access patterns that enforce authorization, tenant separation, and user-level scope.
Implement evaluation, tracing, monitoring, and quality-control mechanisms for GenAI systems.
Improve latency, reliability, fallback behavior, cost efficiency, and production readiness.
Work on customer-facing AI experiences, including conversational and proactive agentic product flows.
Collaborate with backend engineers, product managers, data engineers, AI/ML engineers, and domain experts.

Were looking for an IoT Embedded Linux engineer to design, build, and own the software stack that powers our edge devices in the field. Youll craft resilient Linux-based systems (from bootloader to application), ensure secure and reliable connectivity to the cloud, and work closely with hardware, manufacturing, and backend teams to deliver production-ready devices at scale.
A Day In Your Life :
Own the embedded Linux platform: BSP, kernel configuration, device tree, bootloaders (e.g., U-Boot), systemd services, and startup/upgrade flows.
Develop user-space applications using object-oriented principles (C++/Go/Rust/Similar) to implement core device logic and features, leveraging available libraries and frameworks.
Build production images using Yocto or Buildroot, manage layers/recipes, and maintain reproducible builds for multiple hardware variants.
Implement secure OTA updates (e.g., Mender, RAUC, SWUpdate), with A/B partitions, rollback, and signing-targeting zero‑touch fleet upgrades.
Harden devices for security: filesystem permissions, sandboxing (e.g., AppArmor/SELinux), secure boot/TPM, key management, CVE tracking, and update policies.
Deliver robust connectivity: Ethernet/Wi‑Fi/Cellular (LTE), BLE gateway roles, MQTT/HTTPS, VPN/WireGuard; optimize reliability, roaming, and reconnection logic.
Instrument and debug in the field: journald, core dumps, remote shell, metrics/health checks; trace with strace/perf/tcpdump and diagnose with Wireshark.
Collaborate across disciplines: work with HW, manufacturing, QA, backend, and product to define requirements, provisioning flows, and factory test automation.
Raise the bar on quality: CI/CD for cross‑compilation, unit/integration tests, static analysis, reproducible builds, and fleet-safe release practices.

we are looking for a talented Developer Support Engineer (suitable for a Student Position) to join our team to help us support our growing global customer-base.
we turn logistics from a bottleneck into a strategic advantage. Our unified platform transforms fragmented operations into seamless, scalable execution empowering businesses to meet demand with speed and precision.
RESPONSIBILITIES:
Investigate & Resolve technical issues escalated from support agents.
Identify the root cause for issues.
Analyze system logs and dashboards to streamline troubleshooting.
Develop scripts for debugging and automating.
Reproduce customer scenarios for resolving relevant bugs/features.
Maintain and improve a knowledge base of known issues and solutions.
The position includes liaising with CS, QA, Delivery and Sales teams.

We are seeking an ambitious and exceptionally skilled Technical Project Manager to join our team. At Aristocrat, our mission is to bring happiness to life through the power of play, and we believe that this role is crucial in achieving that goal. As a valued member of our organization, you will have the opportunity to lead end-to-end product delivery, combining product ownership with a strong technical orientation. Collaborating closely with development teams, you will successfully implement high-quality solutions that impact millions globally.

What You'll Do:

Own and lead the end-to-end product lifecycle, from planning to release, including defining scope, priorities, deliverables, and success criteria with collaborators.

Collaborate closely with developers, architects, IT, Scrum Masters, and business partners to build solutions, manage backlog priorities, and align business and technical needs.

Build and manage project plans, timelines, and resources, ensuring timely delivery within scope and budget.

Monitor progress, risks, and dependencies, proactively mitigating issues and addressing technical challenges.

Serve as the main point of contact for collaborators, driving communication, alignment, and regular status updates.

Lead Agile ceremonies, project meetings, and achievement reviews, and support release planning, testing, and delivery.

Required Senior Backend Engineer
Job responsibilities
What will you do?
As a Backend Engineer on the team, youll have a key role in developing our product and its unique features, working closely with our Product team. You should be passionate about software engineering and building a product end-to-end and will be responsible for owning the dev cycle from the technical design, through coding and testing, to deployment and monitoring. We work in a true continuous delivery environment with fully automated QA processes on a microservices architecture, deploying to production dozens of times every day.

Required Backend Engineer
Job responsibilities
What will you do?
As a Backend Engineer on the team, youll have a key role in developing our product and its unique features, working closely with our Product team. You should be passionate about software engineering and building a product end-to-end and will be responsible for owning the dev cycle from the technical design, through coding and testing, to deployment and monitoring. We work in a true continuous delivery environment with fully automated QA processes on a microservices architecture, deploying to production dozens of times every day.