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We are looking for a mid-level Data Engineer, experienced with building data pipelines using Python and Airflow for structured data and relational databases. The ideal candidate is a self-directed learner, takes ownership of the pipelines they build, and cares about data quality as much as feature delivery.





Key Responsibilities:

Own our data pipelines, including maintenance and adding new features.
Take charge of data integrity and completeness, including writing and maintaining tests.
Improve process efficiency and optimize runtime performance.
Own schema design and evolution across our data pipelines.

We are looking for a Data Products Engineer to take full ownership of our internal product suite - the full-stack applications, AI agent tools, and automation pipelines that power teams across the entire company every day. You will step into an established ecosystem and take the reins. Your mission is to maintain, evolve, and build the next generation of these internal tools so every department can move faster and make smarter, data-driven decisions.

Reporting directly to the VP of CS & Data, this is a high-autonomy, tech-lead role. You wont just write code; you will make architectural decisions, solve complex domain challenges with smart software, and shape how the entire company interacts with data.

How will your day-to-day look?
Own the Internal Product Suite: Lead the development of our core full-stack applications. You will build and scale the central platforms and dashboards that give Product, CS, Sales, and executive leadership visibility into product usage, account health, business performance and more.
Advance the Internal AI Layer: Design, deploy, and refine custom agentic AI workflows - enabling teams across the organization to query complex B2B and product data naturally and conversationally.
Engineer Smart Automations: Architect workflow automations and custom APIs that pipe downstream data directly into the operational tools our teams use every day.
Bridge Data and Software: Partner seamlessly with Data Ops and Data Analysts to transform raw data models into highly usable, intuitive user interfaces and automated actions.
Run the Infrastructure: Own the end-to-end DevOps lifecycle for our internal applications, managing deployment, containerization, observability, and CI/CD pipelines.
Drive Technical Strategy: Act as the technical anchor for internal tools. You will translate high-level product and business challenges from company leaders into shipped, reliable software.

we are looking for a Mgr, Software Engrg Mgmt.
As a Software Engineering Team Lead for our core product, AMS, you will lead the full-stack
engineering team responsible for the central platform used directly by all our enterprise customers.
AMS is a key business driver and one of our most impactful and revenue-generating products.
In this role, you will lead a dedicated team that works hand-in-hand with Product Management to
deliver new feature initiatives, maintain high product quality, and drive overall system stability. You
will act as a key technical leader, mentor, and hands-on contributor - owning architectural decisions,
feature execution, on-call processes, and practical solutions that help our customers get the
absolute most out of the product.
We are looking for a sharp, proactive leader with strong organizational skills, high learning agility,
and a passion for technology. If you thrive on taking ownership, making clear technical decisions,
and staying close to both the code and the product - this role is for you.
Job Description:
Team Leadership & Ownership: Mentoring and guiding a full-stack engineering team,
fostering a culture of ownership, high engineering standards, and continuous growth.
Product Collaboration: Partner closely with Product Managers to align on roadmap goals,
translate business needs into scalable architectures, and turn product vision into clean,
robust code.
Architecture & Hands-On Delivery: Drive architectural clarity and best practices across our
Python backend, React frontend, and PostgreSQL data layer. Balance hands-on coding, design
reviews, and code quality with execution management.
Operational Excellence: Oversee platform reliability, performance, monitoring, and incident
management using modern observability tools.
Customer Value & Continuous Optimization: Lead initiative-driven maintenance and
enhancements to help existing enterprise clients derive maximum value from the AMS
platform.
Modern Engineering & AI: Champion organized workflows and leverage modern tooling
(including AI-assisted development) to drive team efficiency and innovation

We are seeking a senior, hands-on engineer who combines deep engineering fundamentals with modern toolsets to deliver high-impact, production-grade software.
What You'll Do:
Lead the end-to-end design and implementation of scalable backend microservices, database schemas, and advanced frontend infrastructures.
Drive system architecture decisions, ensuring high performance, security, and reliability across AWS cloud environments.
Write clean, maintainable, and high-performing code across both backend (Python) and frontend (React, TypeScript) stacks.
Utilize AI-assisted development workflows (such as Claude Code) effectively to accelerate delivery while strictly adhering to high standards of code quality, testing, and architecture.
Partner closely with product managers, data analysts, architects, and QA engineers to deliver complex, cross-company initiatives.
Take end-to-end ownership of horizontal group projects and mentor team members on best engineering practices.

We are seeking a hands-on Applied AI Scientist to join our core R&D team and drive the development of next-generation AI systems for autonomous driving. This role sits at the intersection of applied research and deployment - you will go from reading papers to shipping production systems. You will work directly on our multi-layered autonomy architecture, with a primary focus on real-time predictive models for driving decisions.
A deep technical role for someone who thrives on turning cutting-edge research into real, working systems under hard constraints.
Responsibilities:
Own the research-to-deployment cycle for predictive driving models - from literature review and prototyping through to production integration
Design, implement, and iterate on real-time predictive models, including vision-language models, motion prediction models, and inverse reinforcement learning approaches (e.g., imitation learning, reward recovery)
Collaborate on higher-level reasoning systems, contributing to vision-language-action models that handle complex edge cases and long-horizon planning
Bridge cloud-scale training with edge deployment - work on model compression, quantization, speculative decoding, and efficient inference for embedded automotive platforms
Evaluate and integrate state-of-the-art techniques from the broader AI research community into our autonomy stack
Collaborate closely with internal R&D teams to unblock technical challenges, accelerate delivery, and raise the overall technical bar

We are seeking an experienced Senior DevOps Engineer to build and maintain the critical infrastructure that powers our multi-platform development pipeline, from cloud-based development environments to embedded automotive systems.
This role combined traditional cloud infrastructure, embedded systems tooling, and safety-critical automotive software deployment.
You will work closely with our embedded systems, software, and quality teams to enable rapid, reliable, and traceable releases across multiple customer programs (VinFast, JoyNext, and internal platforms).
Responsibilities:
Expert in infrastructure cost optimization, cloud resource management, and identifying opportunities to reduce operational expenses without compromising performance or reliability
Design, implement, and maintain CI/CD pipelines using GitHub Actions, supporting multi-repository development workflows and versioned manifest-based releases
Build and optimize cloud infrastructure for development, testing, and OTA (Over-The-Air) deployment pipelines (x86-based build systems, container orchestration, monitoring, and observability)
Establish and enforce DevOps best practices for safety-critical automotive software (ISO 26262, AUTOSAR, traceability, audit logs, change management)
Collaborate with embedded systems teams to ensure deterministic, bit-identical builds across different platforms and environments
Troubleshoot and resolve infrastructure issues affecting development velocity and production systems

We are looking for a Senior Software Engineer to join our small, core, professional development team in Tel Aviv. You will work closely with our CTO to create new software products that leverage our high-performance computational engine while modernizing our technical architecture.

This role is for an engineer who enjoys high-level systems work - taking our proven underlying tech and building the next generation of features and products on top of it. You will have a direct hand in shaping the architecture and integrating modern workflows into our ecosystem.

What you will do:
Product Creation: Lead the development of new, innovative software products, utilizing our robust computational foundation as a starting point for advanced capabilities.
Modern Architecture: Design and implement architectural improvements that allow us to integrate new features and AI-driven workflows efficiently.
Bridge the Stack: Interface our established, high-performance computational core with modern application layers and APIs.
Systems Design: Solve complex technical challenges by applying a systems-first mindset, ensuring our software remains clean, modular, and scalable.
High-Level Collaboration: Partner with our CTO and a small team of senior engineers to define our technical roadmap and uphold high standards of code quality.

Required Software Programmer - LTE/5G Cellular Protocols
Job Description:
Join TNGs R&D team and take part in developing advanced LTE/5G cellular monitoring and spectrum-analysis technologies. The role combines software development, protocol research, RF analysis, and real-world system integration in both lab and field environments.
Responsibilities include:
Development in C/C++, Python, and Bash
Research and analysis of LTE/5G cellular protocols and RF behavior
Building monitoring, detection, and automation tools
Analyzing protocol data, logs, and software code
Working with databases and query languages
Collaborating with multidisciplinary R&D teams and participating in field activities
Turning complex RF and protocol information into operational insights.

Required Forward-Deployed Engineer
About us:
We transform trade contractors' knowledge, documents, and workflows into AI-powered systems. Forward-Deployed Engineers sit alongside our customers - configuring the platform to their workflows, building the bespoke tooling that gets them to value quickly, and bringing real-world feedback back to product and R&D.
Key Responsibilities:
Embed with customers during onboarding and through go-live: workflows, integrations, evaluation
Configure agents and integrations to fit each customer's actual process
Build internal tooling that lets customer success scale
Bring customer truths back to product and R&D - what works, what doesn't, what's missing
Visit jobsites and customer offices regularly.

The Role
Expose Fraud and Scams: Identify high-risk merchants before they can transact.
Map a Complete Digital Footprint: Deploy agents to collect and connect signals from websites, social media, marketplaces, and hard-to-find sources.
Turn Data Into Decisions: Use LLMs to interpret unstructured information and deliver actionable risk assessments in seconds.
All-in-One Risk Platform: Allow our customers to onboard legitimate businesses faster, block bad actors earlier, and stay compliant.
‍

What You'll Do:
Impact the architecture and design of our scalable services and products.
Collaborate with the CTO to share responsibilities and drive technological innovation.
Tackle high-scale challenges, including projects involving LLM and AI.
Work with our clients directly, providing direct and real-world impact.
Stay abreast of emerging technologies and evaluate their applicability to our products.

5 days in the office - onsite
Key Responsibilities
Cloud Infrastructure: Design, deploy, and manage scalable infrastructure primarily on AWS (EC2, S3, Lambda, EKS, CloudFormation, etc.) using Terraform or Ansible. Exposure to GCP or Azure is advantageous.
CI/CD & GitHub: Build and maintain CI/CD pipelines with GitHub Actions, AWS CodePipeline, or similar tools; manage GitHub repositories with secure branching strategies.
Docker & Security: Update Dockerfiles and build processes to remediate vulnerabilities and compliance issues flagged by AWS Inspector.
Security Monitoring: Monitor and resolve security findings from AWS Security Hub, implementing fixes for misconfigurations, vulnerabilities, and compliance issues.
Monitoring: Set up and maintain monitoring using CloudWatch, Prometheus, or Grafana.
Collaboration: Work closely with development and IT teams in an Agile environment, applying DevSecOps practices (IAM, RBAC, encryption, etc.).
Position Overview
​We are seeking a Senior DevOps Engineer with strong expertise in AWS (required) to manage cloud infrastructure and CI/CD pipelines. The role involves using GitHub for source code management, automating infrastructure with IaC tools, modifying Dockerfiles and build processes to address AWS Inspector findings, and monitoring/resolving issues from AWS Security Hub. Experience with GCP and Azure is a plus but not mandatory.

Were looking for experienced full-stack engineers to join the Weave team. Whether you're enabling real-time collaboration for thousands of designers, building systems that make design tools robust, performant, and scalable, creating new ways for teams to design and share ideas seamlessly, or powering the features that drive product growth, your work will directly impact the experiences of our users - from startups to Fortune 500 companies.

Youll contribute to our core mission by designing and scaling reliable, secure, and intuitive systems across our Weave. Our teams are highly collaborative, work cross-functionally, and focus on building features that support our rapid growth, global expansion, and evolving product surface area.

What youll do:
Design, build, test, and ship high-quality features across the stack, using technologies like TypeScript, React, Ruby, Go, and more.
Own key parts of the product that impact user experience, internal productivity, or revenue operations.
Collaborate with cross-functional partners in product, design, data science, support, and sales to shape product direction and solve complex problems.
Operate and monitor the systems you build, with a strong focus on reliability, security, performance, and user experience.
Contribute to team culture by mentoring peers, providing feedback, and helping foster a collaborative and inclusive engineering environment.

We are looking for an experienced Full-Stack Developer to join our growing team. As part of our R&D efforts, you will play a pivotal role in the development of our core, module-based and feature rich solution and will have substantial impact on our product experience and the business.
we are the workforce management platform behind some of the worlds biggest moments.
Responsibilities:
Design, plan, and build end-to-end features- from concept through production and post-deployment
Take full ownership of features, working closely with Product and Design teams in a fast-paced, dynamic environment
Develop scalable, high-quality code that is used daily by hundreds of thousands of users
Review, optimize, and improve teammates code, contributing to high engineering standards
Challenge existing processes, suggest improvements, and bring new ideas into the team
Have a direct impact on the product, its architecture, and its future direction
Be part of an organic engineering team developing both in-house and with external partners