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We are looking for a Senior Software Engineer to join our growing Data Infrastructure team!
The team's main responsibility is developing our data platform - from building the microservices and pipelines that onboard customer data into our platform, to the infrastructure and tooling that enables our internal data teams to analyze, transform, process, and collect data independently. Our goal is to build leverage: every feature we ship reduces friction for the teams that depend on our platform. We're looking for a builder who takes full ownership from inception to production, cares deeply about quality and performance, and leverages AI tools to move faster and deliver better outcomes.
Responsibilities
Design and implement scalable, production-grade data pipelines and microservices that ingest, transform, and move data from a wide variety of customer sources at high volume.
Build and maintain high-performance backend services and APIs that interface with our data ecosystem, ensuring reliability, low latency, and security.
Develop and evolve the platform infrastructure - data warehouse, orchestration, compute - that internal data teams rely on daily.
Identify opportunities to automate recurring workflows and turn ad-hoc needs into robust, self-serve platform capabilities.
Collaborate with data scientists, analysts, and engineers across R&D to translate requirements into platform features.
Drive code quality through design reviews, code reviews, and adherence to engineering best practices.
Leverage AI tools throughout the full engineering cycle - from scoping and design to implementation and debugging - to deliver faster, higher-quality outcomes.

Required Product Manager
Product, Ramat Gan, Israel (Hybrid)
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections.
Our mission is to establish a trusted environment for singles to cultivate real human connections with genuine individuals, fostering significant relationships through a best-in-class experience integrated directly within the ecosystem
As a Product Manager, you will be a driving force of our growth. You will navigate high levels of ambiguity to pioneer a scaling product domain, leveraging our massive scale.
Responsibilities:
Drive the Dating Product Strategy (0-to-1 & Scale): Closely impact the multi-year vision, roadmap, and core product surface. Turn strategic ambiguity into a clear, executable roadmap, making critical tradeoffs to deliver measurable business and user impact.
Product Discovery & Innovation: Drive continuous product discovery through wireframes, prototypes, and user research. Navigate how we welcome new users, how we facilitate exploration, how we help people connect authentically
Executive Leadership & Cross-Functional Alignment: Act as the domain leader, collaborating with global executive stakeholders, design, engineering, analytics, marketing, and Trust & Safety teams. Bring people along by communicating complex ML logic and product strategy clearly to both technical and non-technical audiences.
Data-Driven & Evidence-Based Decisions: Lead a KPI-focused mindset. Use A/B experiments, behavioral data, and qualitative research to guide your decisions when signals are imperfect.
From product to revenue: Drive monetization opportunities that are win-win for our customers.
Mentorship & Excellence: Raise the bar for the entire product organization. Push your team and peers for excellence by setting a high standard for product craft, documentation, and user-centric thinking.

Required Data Engineering Manager
Data, Ramat Gan, Israel (Hybrid)
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
As an Engineering Manager in the data department, youll build and scale our data platform and data apps that powers our business insights. Youll design and implement robust pipelines to process billions of daily records, leveraging cutting-edge cloud technologies to transform data into actionable intelligence.
If youre passionate about data engineering and driving business growth through insights, wed love to hear from you!
Responsibilities:
Lead and grow Data Engineering and Machine Learning teams in a high-scale environment (tens of billions of events per day).
Own the design and evolution of a self-service data platform enabling internal teams to easily build, ship, and consume data products.
Architect and scale batch and streaming pipelines powering core business and ML use cases.
Drive production ML systems end-to-end (recommendation, ranking, prediction) with direct business KPI impact.
Ensure reliability, scalability, and observability of large-scale data and ML systems in production.

As a Senior Software Engineer, you will not just write code-you will own problem spaces end-to-end. From shaping scope to aligning across functions, youll drive technical excellence and delivery within the team. Youll mentor and coach other engineers, help set the quality bar, and influence the long-term architecture and culture of the engineering organization.

This is a hands-on leadership role where youll be expected to contribute directly, while also enabling others to deliver and grow.

What Youll Do
Own projects end-to-end: from scoping, design, and implementation to delivery and ongoing improvement.

Drive technical alignment and foster collaboration across functions and teams.

Set and maintain the engineering quality bar through best practices, reviews, and continuous improvement.

Mentor, coach, and support the growth of other engineers on the team.

Balance architectural decisions with business needs, scalability, and delivery timelines.

Design and build maintainable, extensible, and performance-minded services / APIs.

Advocate for modern engineering practices.

We are looking for enthusiastic, experienced, and versatile DevOps for taking over multiple responsibilities under the company One Engines group.
We are working with the most cutting edge technologies, building a new and exciting cloud platform using mainly Golang, gRPC, Redis, PostgreSQL, Kubernetes, Docker, and more.
How will you make an impact?
You will make a substantial impact by improving the development lifecycle and accelerating features to production, ensuring a swift and efficient delivery process.

Join our mission to build and scale the engineering platform behind a leading SaaS cybersecurity solution trusted by enterprises worldwide.
We are looking for a passionate DevOps Group Lead. You'll lead a strategic engineering organization responsible for the platforms, infrastructure, and automation that power our software delivery lifecycle. You'll manage four Team Leaders and their engineering teams, driving innovation across CI/CD, Kubernetes, AWS, developer platforms, and cloud operations while enabling fast, secure, and reliable software delivery.
This is a leadership role for someone who combines strong technical expertise with exceptional people leadership and a passion for building high-performing engineering organizations.
How will you make an impact?​
Lead, mentor, and develop 3 Team Leaders and their engineering teams, fostering a culture of ownership, collaboration, and continuous learning.
Define and execute the DevOps and Platform Engineering strategy supporting a large-scale SaaS cybersecurity platform.
Own the architecture, scalability, availability, security, and operational excellence of our cloud infrastructure and engineering platforms.
Drive the evolution of modern CI/CD pipelines, Kubernetes platforms, Infrastructure as Code, GitOps, and developer self-service capabilities.
Partner closely with Engineering, Product, Security, Architecture, and R&D leadership to accelerate software delivery while maintaining the highest standards of security and reliability.
Lead cloud-native initiatives with a strong focus on AWS, Kubernetes, automation, and platform standardization.
Establish engineering metrics, operational KPIs, SLOs, and continuous improvement initiatives across the organization.
Champion DevSecOps best practices and embed security into every stage of the software delivery lifecycle.
Lead organizational planning, hiring, budgeting, prioritization, and execution while supporting the growth and development of future engineering leaders.

For an innovative start-up company that develops revolutionary 5G private network software solution, were looking for a technical enthusiastic senior software engineer experience with Linux based real time applications, Kernel optimizations, virtualization and SRIOV networking as well as Kubernetes and containers run time environments. In this position, you will define the technologies and architecture for the product and lead the implementation and field testing and deployments.

We're looking for a Senior Backend Engineer to join the team as a core contributor, owning significant parts of the backend behind these capabilities. The role is backend-first and Go-centric, but you'll also touch the React front end when a feature calls for it - so comfort moving across the stack matters. Quality is a shared responsibility here: our QA partner owns most test automation, but team members regularly pitch in to keep automation coverage moving and avoid bottlenecks.
​How will you make an impact?
Design and develop functional and technical capabilities within Chiron's large-scale, distributed backend systems, making ongoing architecture and design decisions
Take full ownership of features and product areas end-to-end: architecture, coding, testing, CI/CD, and production observability
Build and operate distributed microservices - gRPC/REST APIs, message queues, PostgreSQL-backed services - deployed on Kubernetes
Build and maintain React components/pages (e.g., risk tables, single-risk views) that consume your backend services when a feature requires front-end changes
Partner with our QA team on test automation - pitching in on backend automation in Go and front-end automation in Cypress when needed - to help keep coverage moving and reduce bottlenecks
Use AI-assisted coding tools as part of your day-to-day development workflow, from writing and reviewing code to test generation and debugging
Work smoothly with local and remote, multi-geo R&D and non-R&D teams, maintaining high visibility and effective communication
Provide in-depth technical knowledge, guidance, and mentorship to other team members as needed
Participate actively in design discussions and code reviews, holding the team to high execution and quality standards.

Job Description We are looking for a hands-on Power BI and Data Warehouse Developer to take end-to-end responsibility for the analysis, design, development, and implementation of BI solutions across the organization. The role requires close collaboration with business users, a strong understanding of business processes, and the ability to translate business needs into practical data and reporting solutions. The position covers the full BI lifecycle, from connecting to source systems and building the Data Warehouse to developing Power BI reports and dashboards. Key Responsibilities
* Work directly with business users and managers to gather requirements, understand business needs, and define KPI.
* Learn, analyze, and understand business processes across areas such as finance, operations, sales, procurement, and manufacturing.
* Translate business requirements into practical BI, data, and reporting solutions.
* Design, develop, and maintain the organizational Data Warehouse.
* Develop and maintain ETL processes for extracting, transforming, and loading data from multiple source systems.
* Develop Power BI reports, dashboards, semantic models, and business measures.
* Take hands-on, end-to-end ownership of BI solutions, from requirements analysis and technical design through development, deployment, and user support.
* Support business users and continuously improve existing reports and data models.

Required Data Engineering Lead
Why this role matters:
Data isn't just for dashboards - it's the nervous system of our future products. As we expand into smart lighting (Oasis) and living tech (Easyplant), we need to process massive streams of IoT signals and power real-time AI. You won't just maintain a warehouse; you will architect the platform that connects our physical products to the digital world.
What youll do:
Build the "Brain": Architect the next-gen data platform capable of handling high-volume IoT streams and integrating AI capabilities into our daily operations.
Code the Core: This is a hands-on role. You wont just manage; youll be deep in Python, DBT, and Airflow, building and optimizing the pipelines yourself.
Scale for Complexity: We are growing from one product to a multi-brand ecosystem. You will ensure our data infrastructure evolves to support diverse business lines without becoming a bottleneck.
Democratize Insights: Build a system so robust and intuitive that every engineer, product manager, and marketer can self-serve the data they need to build better products.

Required Engineering Manager, Oasis
The Role:
Oasis has product-market fit.
Now we're looking for the engineering leader who can help take it to millions of homes.
You'll lead a multidisciplinary engineering team responsible for the entire product - from firmware and hardware to cloud, mobile, and software. Your role is to build an engineering organization that moves fast, sets a high technical bar, and delivers a product that feels simple, magical, and reliable.
You'll work closely with the GM and the leadership team to shape both the product and the technology behind it. You'll help decide what we build, how we build it, and how we scale it.
This is an opportunity to lead engineering at the intersection of hardware, software, AI, and consumer experience.
What You'll Do:
Lead and grow a high-performing multidisciplinary engineering team
Own the technical direction of Oasis as it scales from a successful product to a global category leader
Bring together firmware, hardware, cloud, mobile, and software into one seamless customer experience
Build a culture of speed, ownership, technical excellence, and collaboration
Partner closely with Product, Design, and Operations to shape both the roadmap and execution
Make thoughtful technical decisions that balance customer experience, scalability, quality, and long-term maintainability.

Required Senior iOS Software Engineer
What you're applying for?
You will build new things and improve on products that reach millions of customers.
You will learn how to start up -
Data based decision making.
Learn from the company's experience launching multiple products.
You will work with other senior engineers and keep growing together with them.
You will use technology to create great experiences for customers.

Required Senior Full Stack Engineer
How do R&D teams look like in our company?
Our R&D teams are running as separate squads, each executing on their own goals and focusing on their products. We do sprints, working to create a fast impact.
Our squads are small (3-5 people) and work closely with product managers and designers to bring changes to life.
We are as Full Stack as we can, not afraid to touch and change whats needed to get the needle moving. Frontend, Backend, Devops, Quality and more. We do it all and we own what we do.
We work together. We use each other to be better and move faster.
Why should I work?
You will build new things and improve on products that reach millions of customers.
You will learn how to start up -
Data based decision making.
Learn from companys experience launching multiple products.
You will work with other senior engineers and keep growing together with them.
You will use technology to create great experiences for customers.

We are looking for a hands-on systems engineer to join the development of a multi-RAT digital twin for our Open RAN solution. The role will involve contributing to the integration of production RAN software with PHY, channel, UE, traffic, and network models, and supporting the development of simulation capabilities for LTE, 5G NR, and 2G. This is a great opportunity to gain hands-on experience in RAN systems, simulation, and AI/ML within a highly technical environment.
What will you do:
Contribute to the development of a modular, multi-RAT RAN digital twin covering LTE and 5G NR.
Develop and integrate production software components with simulation and analysis tooling using stable and maintainable interfaces.
Work with software and system teams to model communication-system behavior, including traffic, mobility, scheduling, interference, and performance KPIs.
Support the extension of existing LTE simulation capabilities and reusable components for additional radio technologies.
Develop software components and tools in C/C++ and Python for simulation, automation, data processing, and analysis.
Support the development and evaluation of AI/ML-based capabilities for communication systems and network optimization.
Build datasets, experiment pipelines, and automated analysis tools to evaluate system behavior and algorithm performance.
Create reproducible tests and experiments across software builds and algorithm versions using defined scenarios, configurations, and KPIs.
Support simulation verification and validation activities, including comparison with lab results and analysis of model behavior.
Build automated unit, component, end-to-end, regression, and performance tests and integrate them into CI/CD workflows.
Improve simulation speed, usability, observability, and automation so engineering teams can run repeatable experiments independently.
Debug issues across C/C++, Python, MATLAB, system software, configuration, and reference measurements.
Document assumptions, supported scenarios, limitations, and experiment results in a clear and structured way.
Work closely with RAN, PHY, system, AI/ML, automation, and validation teams to turn engineering questions into measurable experiments.