דרושים » הנדסה » Engineering Platform Manager

Join our strong AI group as a Senior Full Stack Engineer to lead development on Sticklight, our high-momentum B2C vibe-coding platform that has already gained significant traction. This is a pivotal role where you will collaborate with top professionals to build a product designed for massive scale and worldwide reach.
You will be responsible for crafting scalable, AI-driven systems and intuitive interfaces across the full stack - from robust backend microservices to modern React-based frontends. Your passion for platform engineering, dedication to developer experience, and focus on business objectives will directly drive transformative impact for the product.
Responsibilities:
Platform & Scale: Bbe a key contributor to the design, planning, and development of Sticklight's high-quality, high-scale features and core platform foundations.
Full Stack Development: Craft and maintain robust backend microservices and modern, intuitive React-based frontend applications for a smooth user experience.
Reliability & Monitoring: Champion monitoring, observability, and high availability of the system to support rapid growth in a production environment.
Innovation & AI: Research, introduce, and incorporate new technologies, best practices, and emerging AI tools/models to continuously elevate the stack and advance AI-driven workflows.
Cross-Functional Collaboration: Partner closely with Product, Design, and Engineering peers to deliver on strategic business objectives.

We are seeking a Embedded Systems Software Architect to own the technical direction of our embedded software platforms. This role combines hands-on development, system architecture, and technical leadership, guiding a team of embedded engineers while ensuring high-quality, scalable, and reliable software across current and future products.
You will act as the technical authority for embedded software, working closely with hardware, systems, and product stakeholders to translate requirements into robust software solutions.
What will your job look like?
Lead the technical direction and architecture of embedded software platforms across middleware and application layers.
Serve as the technical authority for embedded software, combining hands-on C/C++ development with system-level ownership.
Design scalable, modular software architectures and define clear interfaces between hardware, OS services, middleware, and application software.
Drive key technical decisions, architectural trade-offs, and long-term roadmap.
Develop and integrate middleware and application-layer components, including multi-threaded and real-time logic.
Lead design reviews, mentor embedded software engineers, and promote high coding and architectural standards.
Take ownership of complex system-level debugging, performance optimization, and software quality.
Work closely with OS, systems, product, QA, and manufacturing teams to translate product requirements into robust technical solutions.

Were looking for a hands-on DevOps Engineer with a strong cloud-native mindset to help build, maintain, and evolve our scalable infrastructure. This role requires deep expertise in AWS, Infrastructure as Code, Kubernetes, and a proactive approach to security and automation. You'll work closely with product, Support and engineering teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment - all while keeping reliability and security top of mind.
What youll do: Build, Automate & Manage cloud infrastructure on AWS. Operate and enhance Kubernetes environments, including automation, security, observability, and CI/CD integration. Drive continuous improvement across platform tooling, Developer experience, and operational excellence. Implement security-first infrastructure patterns, with strong IAM, networking, and secrets management practices. Champion open-source solutions and build upon OSS tools to meet team and business needs. Collaborate with Developers / Support and product teams to ensure infrastructure and automations aligns with evolving requirements. Actively contribute to technical design discussions and cross-functional decision-making.
Position Intro:
we are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. our company has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions.
This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development.
The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization.
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles.
They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

we are seeking a seasoned Senior CI/CD DevOps Engineer to join our CloudOps team. In this pivotal role, you will be the architect of our delivery ecosystems, designing and scaling high-performance CI/CD engines and Kubernetes-based infrastructure across multi-cloud environments.
You will bridge the gap between code and production, leveraging GitOps principles and advanced automation to accelerate our SaaS and On-Prem release cycles. If you thrive on building "Infrastructure as Code," mastering complex Jenkins pipelines, and securing cloud-native systems at scale, this is your next challenge.
Key Responsibilities:
Architect CI/CD Ecosystems: Design, implement, and maintain enterprise-grade CI/CD pipelines using Jenkins and Shared Libraries (Groovy) to standardize delivery across R&D.
Infrastructure as Code (IaC): Drive the automation of global cloud footprints (AWS) using Terraform, ensuring modularity, reusability, and state management.
Kubernetes Orchestration: Manage and optimize large-scale EKS clusters, focusing on high availability, auto-scaling, and cost-optimization.
GitOps Advocacy: Implement and champion GitOps workflows to ensure the "source of truth" always resides in Git, automating deployments and drift detection.
Advanced Scripting: Develop sophisticated tooling and automation logic using Python and Bash to eliminate manual toil.
Hybrid Cloud Delivery: Support complex release automation for both high-velocity SaaS environments and secure On-Prem deployments.
System Reliability: Troubleshoot complex production bottlenecks, optimize container performance, and mentor junior engineers on best practices.

In this role, you will be responsible for architecting and maintaining scalable, secure, and highly available environments across AWS and on-premises infrastructure. You will drive automation initiatives, improve CI/CD processes, enhance system reliability, and support engineering teams in delivering production-ready solutions. The ideal candidate is an AWS expert with deep Kubernetes experience, strong infrastructure automation skills, and a passion for operational excellence.

Responsibilities:

* Design, implement, and maintain scalable, secure, and highly available AWS and hybrid infrastructure
* Build, manage, and optimize Kubernetes platforms and containerized workloads
* Develop and maintain Infrastructure as Code (IaC) using Terraform
* Build and optimize CI/CD pipelines using GitHub Actions, Jenkins, and related technologies
* Drive automation initiatives to improve reliability, scalability, and operational efficiency
* Monitor, troubleshoot, and resolve production issues while implementing observability solutions
* Collaborate with development, security, and customer-facing teams to improve deployment and operational processes

Advantages:

* Experience with Microsoft Azure cloud services
* Experience with monitoring and observability tools such as Prometheus, Grafana, ELK/OpenSearch, or Datadog
* Experience with configuration management tools such as Ansible
* Knowledge of security best practices, vulnerability management, and cloud security
* Experience working in regulated or security-focused environments

We are looking for a highly skilled and versatile Backend Engineer to join our development team. As a Backend Engineer, you will be responsible for designing, developing, and maintaining the backend infrastructure and components of our platform. As part of your role, you will also work on the frontend aspects of our platform and collaborate with stakeholders and cross-functional teams to optimize full-cycle system performance
Responsibilities:
Design, develop, and maintain backend systems and APIs to support our web applications
Implement and optimize data storage solutions, including databases, to ensure efficient and reliable data management
work closely with front-end developers to integrate backend functionalities and ensure a seamless user experience
Collaborate with product managers, stakeholders, and cross-functional teams to gather requirements, translate them into technical specifications, troubleshoot and resolve backend-related issues, and optimize system performance

The Road Algorithm team is responsible for one of the most critical and challenging tasks in autonomous driving - detecting and understanding the drivable road. Our work leverages Deep Neural Networks and geometric modeling to deliver reliable and high-quality road perception for autonomous vehicles.
We are looking for an Expert Deep Learning Research Engineer who will both drive independent deep learning research and collaborate closely with other developers to help unlock new directions, solve complex challenges, and elevate the teams algorithmic capabilities.
What will your job look like:
Conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
Lead exploratory investigations into new architectures, training strategies, and data utilization methods
Join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
Own projects end-to-end - from concept and experimentation to integration and scalable deployment.

We are looking for a highly skilled and versatile Senior Backend Engineer to join our development team. As a Senior Backend Engineer, you will be responsible for designing, developing, and maintaining the backend infrastructure and components of our platform. As part of your role, you will also work on the frontend aspects of our platform and collaborate with stakeholders and cross-functional teams to optimize full-cycle system performance.
Responsibilities:
Design, develop, and maintain backend systems and APIs to support our web applications.
Implement and optimize data storage solutions, including databases, to ensure efficient and reliable data management.
work closely with front-end developers to integrate backend functionalities and ensure a seamless user experience.
Collaborate with product managers, stakeholders, and cross-functional teams to gather requirements, translate them into technical specifications, troubleshoot and resolve backend-related issues, and optimize system performance.

our company's ML Platform group builds and operates the core infrastructure that powers large-scale AI workloads across on-prem bare-metal GPU clusters and multi-cloud environments. Our goal is to deliver the modern infrastructure and tooling that accelerates our company's entire algorithm development lifecycle - from a researcher's first experiment to a production deployment.
We are a small, independent group of engineers with diverse skills across software, infrastructure, and systems. We set the standards, build the cross-company products, and take end-to-end ownership of everything we ship.
What will your job look like?
Design, develop, and maintain the Python framework that enables algorithm developers across our company to train, validate, quantize, and deploy deep learning models - locally, on-prem, and across cloud providers - through a single unified interface
Build high-performance data streaming libraries that feed large-scale distributed training pipelines in Rust with Python interfaces
Set the standard for reliable, reproducible research at scale - experiment tracking, configuration management, checkpoint handling, and multi-node training
Work directly alongside algorithm researchers to understand friction, propose solutions, and ship them - without layers of process in between
Contribute to open source when the right fix/feature belongs upstream.