דרושים » תוכנה » C++ / Python Software Developer

We're looking for exceptional engineers with strong back-end fundamentals and proven experience building high-scale distributed systems to join us at Hola, where we offer a unique and widely used VPN service that serves millions of users around the world with a strong focus on privacy, performance, and innovation. In this role, you will solve hard engineering problems on a large-scale visual challenge solving platform that spans orchestration services, computer-vision inference, and cloud infrastructure. You will take full ownership of critical systems, from design to production, in a fast-paced and professional agile environment.

Responsibilities
End-to-end design, development and ownership of critical back-end services, from architecture to production.
Participate in system design and architecture planning, for optimal software performance, scalability and reliability.
Solve complex engineering problems: distributed state, concurrency, tail latency, fault tolerance and high-throughput pipelines.
Debug production issues end-to-end across services: gRPC channel churn, DNS/ASG failover, Redis queue backpressure, worker saturation and memory fragmentation.
Design and maintain solver logic for complex visual challenges: image grids, drag-and-drop, object detection and browser automation.
Build and optimize pipelines integrating OpenAI reasoning, computer-vision inference, Redis Streams, MongoDB session tracking and S3 screenshot archival.
Take on independent responsibilities, while contributing to the team's collective goals.
Actively learn, adapt and stay up-to-date with the evolving tech landscape, including best practices.

As a Senior Data Infra Engineer, you'll be a key part of our data platform team, responsible for designing, building, and maintaining robust and scalable data pipelines. You'll work closely with data scientists, analysts, and server side engineers to ensure our data is reliable, accessible, and ready for analysis. Your expertise will be crucial in expanding our data warehouse and data lake capabilities, enabling us to deliver next-generation ad tech solutions.

Your mission will be to:

Develop and Optimize Data Pipelines: Design, build, and maintain ETL/ELT pipelines using Apache Spark to ingest, process, and transform large-scale datasets from various sources.
Manage Cloud Infrastructure: Architect and manage our data infrastructure primarily on Google Cloud Platform (GCP) or Amazon Web Services (AWS). This includes services like BigQuery, S3, GCS, EMR, and AirFlow.
Enhance Data Storage: Improve and manage our data warehouse and data lake solutions, ensuring data quality, consistency, and accessibility for business intelligence and machine learning applications.
Collaborate and Innovate: Partner with cross-functional teams to understand data needs and implement solutions that support new product features and business initiatives.
Ensure Data Integrity: Implement monitoring, alerting, and logging systems to maintain data pipeline health and ensure data accuracy.

We are looking for an MLOps Team Leadto drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example.

You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform.

Responsibilities:

Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.
Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.
Stay hands-on: contribute to design and code, review work, and set engineering standards.
Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.
Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.
Help evolve the platform, including our ongoing migration from Dask to Ray.

DRS RADA Technologies , a leading defense company developing and manufacturing life-saving radar systems, is seeking a GNC & Simulation Engineer. ?Position Overview We are seeking an analytical and hands-on GNC & Simulation Engineer to pioneer the digital foundation of our interceptor platform. In this role, you will build the "digital twin" of our aerial vehicles from scratch, simulating system-level trade-offs before physical hardware is realized. You will design, implement, and validate flight control, navigation, and terminal guidance algorithms that enable small, high-speed assets to successfully intercept dynamic targets in challenging environments. Key Responsibilities System Trade Studies: Run algorithmic simulations to analyze system-level trade-offs to support systemic architectural decisions. GNC Algorithm Design: Design and implement robust algorithms terminal guidance laws (e.g., Proportional Navigation) for dynamic interceptions. Flight Data Analysis: Post-process and analyze telemetry data from flight tests to validate, calibrate, and continuously improve the predictive accuracy of the simulation models.

Experienced Backend Developer? It's time for your next challenge.
Bylith's Israel Backend team. The team is responsible for the backend development of multiple SaaS web products (CRM, Commerce, Data Automation) in a highly innovative, technical, and empowering work environment.
Our products are in use by millions of users worldwide, delivering smart and intuitive web experiences that put the end-user in the center.
In this role you will design & develop a challenging high-end SaaS web products for some of the biggest operations in the world, in a great work atmosphere and with highly skilled teammates.
Responsibilities:
Design, build, and maintain efficient, reusable, and reliable code for the development of our products API, Backoffice and Backend services
Work closely with your team leader and engineering colleagues to achieve the optimal implementation

We are seeking an MLOps Engineer to help us grow our technical team's capabilities. The ideal candidate has relevant experience in data engineering, preferably within the AI field. Aviation industry experience would be a great addition.

You will be responsible for building and maintaining models and data pipelines that power our data science workflows. You'll play a crucial role in ensuring the accuracy, consistency, and efficiency of the data we use for model training and inference. This involves working with both structured and unstructured data from various sources, leveraging your expertise in data engineering and machine learning to create a robust and scalable system.