דרושים » תוכנה » ML Engineer

were looking for skilled professionals to help shape our data platform and drive the next generation of trading technology.

In this role you will:
Design, implement, and maintain scalable data pipelines using Python and orchestration tools like Apache Airflow.

Take a leading role in evaluating and selecting foundational components of our data stack (e.g., Databricks vs. Snowflake).

Architect and optimize data workflows across AWS and on-premise environments.

Work with modern file formats (Iceberg, Parquet, ORC) and understand their trade-offs for performance, cost, and scalability.

Collaborate with analysts, engineers, and stakeholders to provide accessible and reliable datasets.

Help assess and implement frameworks such as DBT for data transformation and modeling.

Develop best practices and internal standards for data engineering, monitoring, and testing.

Contribute to the long-term vision and roadmap of Fin-on-exs data infrastructure.

As a Data Engineer , you will own the architecture and optimization of large-scale ETL processes that transform raw heavy-duty vehicle telemetry into production-grade intelligence. You will operate at the intersection of Big Data and AI, building scalable pipelines, enforcing data quality standards, and managing cost-efficiency for a system processing billions of time-series records. You will be a technical owner, collaborating directly with Data Scientists to ensure our fleet intelligence models run reliably in production.
What Youll Do
Architect and build robust ETLs and scalable data pipelines on Databricks and AWS.
Optimize high-throughput ingestion workflows for billions of time-series records, ensuring low latency and data integrity.
Engineer data validation frameworks and automated monitoring to proactively detect anomalies before they impact models.
Drive cost-efficiency by tuning Spark jobs and managing compute resources in a high-volume environment.
Transform raw IoT/telemetry signals into structured, enriched Feature Stores ready for Machine Learning production.
Define best practices for data engineering, CI/CD for data, and lakehouse architecture across the organization.

We are looking for an Algo-Dev Engineer to join one of our research teams. You will be working closely with our researchers, assisting them in achieving their research objective while developing tools and optimizing models in both offline and online environments.
Areas of responsibility include data-handling, deep dive into algo code, design, implementation, and deployment of technologies designed to enable innovative algo-trading projects and support existing and ongoing initiatives.
In this role you will :
Contribute to the continuous evolution and optimization of our internal deep algorithms, bridging the gap between theoretical research and production-ready implementations

We are looking for a Senior DevOps Manager to lead our global DevOps initiatives across hybrid environments (AWS and On-Prem). This is a highly technical leadership role focused on building a developer-first platform.

You will bridge infrastructure and R&D by designing scalable Kubernetes-based environments, building custom internal logic, automating complex workflows, and owning the traffic and API layer.

The ideal candidate is a hands-on technical leader with deep Kubernetes expertise, experience with ArgoCD, Helm, and Kong, and a strong software engineering mindset.

In this role you will:
Architect, build, and maintain scalable production environments across AWS and On-Prem using Kubernetes
Own and optimize the Kong API Gateway, including custom plugin development and traffic routing
Standardize application packaging using Helm and manage declarative deployments with ArgoCD
Build custom internal tools and logic using Python and Lua
Design, implement, and maintain fully automated CI/CD pipelines using GitLab CI
Work closely with R&D teams to identify pain points and automate manual processes
Implement Security as Code across CI/CD pipelines and gateway layers
Ensure infrastructure complies with privacy, security, and data protection standards
Manage, mentor, and grow a global team of remote DevOps engineers
Define technical roadmaps aligned with infrastructure scaling and R&D velocity

we are an innovative, data -oriented, high-tech company that owns, develops, and publishes multi-platform digital Assets. All our products and content coordinate together to create unique monetization solutions and advanced revenue streams for digital properties. We are expanding our teams and are focused on adding like-minded, result-oriented, and high-achieving talents. This role is perfect for someone early in their career who wants to work closely with experienced engineers, learn modern development practices, and build software that reaches millions of users. Impact and Responsibilities
* Collaborate with senior developers to build and maintain Windows desktop applications using languages like C # (.NET) and Python
* Use AI-powered development tools and IDEs (such as GitHub Copilot, Cursor, and similar assistants) as part of the daily workflow to improve development speed, code quality, and problem-solving
* Learn and contribute to the development lifecycle: coding, testing, debugging, and deploying
* Help integrate applications with cloud services such as AWS S3, Lambda, and DynamoDB
* Participate in code reviews, gain feedback, and continuously improve your coding skills
* Support the development and refinement of installers and auto-update mechanisms
* Write clear, maintainable code and document your work to help the team and future development
* Work in a collaborative, agile team environment, contributing ideas and learning from peers

The SRE team is responsible for ensuring the reliability, stability of our cloud systems. Our role bridges engineering and operations, combining deep technical understanding with proactive system oversight.
We maintain strong expertise in DAC components, continuously improve monitoring and alerting, build automations and self healing mechanisms, and work to reduce dependencies on other engineering groups. During production incidents, the SRE team leads the technical and communication flow e2e from severity assessment and cross team coordination to investigation, resolution, and RCA ownership. Our mission is to keep the platform scalable, and ready to meet evolving customer and product needs while driving innovation in observability, automation, and operational excellence.
Responsibilities:

Monitor, manage and operate our cloud services including incident management.
Scale our service with required monitoring and alerting capabilities.
Develop tools and automations based on C# .Net and Python to support our operation and growth.
Work closely with R&D to make sure new features are reliable, easily deployable, and support the requirements of the service in terms of scale and security.
Establish a regular operational feedback cycle into our engineering teams.
Manage the Service Operations team to operate with a culture of business and customer-centricity by maintaining SLA for each service, including incident response, problem management, and service upgrades.
Develop and drive, as the primary owner, the communication strategy for internal and external stakeholders (including customers) to convey service health, tracking against SLAs, current and historical incidents, upcoming events, or upgrades.
Ensure all technical procedures are documented, reviewed, and updated and actively contribute to the maintenance of operational standards & policies.
Collaborate with the Support team to understand and improve user experience, performance, incident response, and the serviceability of our offerings.
Collaborate with the internal R&D team to automate infrastructure services and system administration tasks wherever possible and implement a monitoring strategy to provide rapid feedback and diagnostics in the event of a service disruption.
Create relationships with other departments, including Marketing, Product Management, Engineering, and Customer Success, to make sure we provide services with high availability and superior performance for all our customers.

Power the Future with us! At our company, we're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery Storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. our companyoffers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. As a Senior Automation Developer, you will design and develop the automation infrastructure and testing environment for a wide range of our company devices and energy management systems. You will build robust, scalable TEST frameworks that validate complex HW/SW and firmwaredriven products. In this role, youll work closely with firmware developers and multidisciplinary engineering teams, driving quality, reliability, and efficiency across cuttingedge renewable energy and powermanagement solutions. You will take ownership of lab automation, integrate advanced measurement tools, and ensure seamless execution of automated tests as part of the CI/CD pipeline-ultimately contributing to the validation of our company's nextgeneration technologies.
Country:
Israel
City:
Herzliya

You will be responsible for building next generation AI Agents, Tools & services for analyzing Connectivity/Cellular functional & performance issues for future Apple product lines, with emphasis on improving the overall user experience in terms of performance. You will have the opportunity to make a significant, organization-wide impact by tackling and resolving complex technical challenges that shape the future of automated analysis of SW bugs from various wireless technologies at Apple using advanced AIML tools. Development of advanced system evaluation and debugging capabilities is required on an as needed basis. As part of this team, you will impact iPhone, iPad & Mac user experience worldwide.

We are looking for a self-driven and experienced software engineer to join our R&D department. In this position, you will be part of a newly formed team responsible for designing and implementing a brand-new flow that classifies and processes sensitive data in files.
This is an opportunity to build a system from the ground up, working with cutting-edge technologies and handling large-scale data challenges. If you thrive in a fast-paced environment, are passionate about delivering high-quality solutions, and excel at taking initiative, wed love to hear from you.

Responsibilities
Design, implement, and test complex backend systems to ensure they meet the required specifications and performance standards.
Review and provide constructive feedback on your teammates' code to maintain high-quality code standards and promote best practices.

We are seeking an experienced Full-Stack Team Lead to manage a dynamic team of 4 engineers (2 backend, 1 frontend, 1 Devops) in developing cutting-edge products. The ideal candidate will have full-stack development expertise, strong leadership skills, and experience with scalable, high-performance systems.
Responsibilities:
Team Management: Lead and mentor a team of engineers (backend and frontend), focusing on their personal and professional development.
Feature Development: Architect and develop end-to-end features, handling both backend (Redis, Kubernetes, PostgreSQL, Python, FastAPI) and frontend (React, Redux, Cesium, monorepo with npm 7, TypeScript) technologies.
Code Reviews & Quality: Conduct thorough PR reviews and ensure code quality and adherence to best practices.
Version Management: Oversee version management and the release of new product iterations.
Customer Support & Hotfixes: Interact with customers, troubleshoot issues, and implement hotfixes as needed.
Product Development: Collaborate closely with the product team on defining new features, UI/UX improvements, and assigning tasks across frontend and backend teams.
Bug Triage: Regularly conduct bug triage with the QA team and ensure timely resolution of issues.
Cross-Team Collaboration: Work with the Computer Vision team on integration pipelines and support Proof of Concepts (POCs) for quick solutions.
Scalable Solutions: Lead development of two key products-one involving augmented reality on real-time video and another managing georegistration for satellite imagery.
Stakeholder Communication: Report directly to the VP of R&D and contribute to strategic product discussions.