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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.

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.

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.

As an MLOps Team Leader, you will own our AI infrastructure and backend engineering efforts, leading a team at the intersection of systems design and machine learning to build the engineering systems that turn Deep Learning and Computer Vision research into reliable, scalable production features.

What Youll Be Doing:
Lead MLOps Engineering: Own the roadmap and execution for a team of backend and AI infrastructure/MLOps engineers, setting technical direction, removing blockers, and holding the bar on delivery quality.
Build Production AI Systems: Design and implement production-grade, end-to-end AI solutions, including agentic workflows, that integrate Deep Learning models and Computer Vision algorithms into real features. Own the offline experimentation and validation layer, including POC environments that let the Algo team move from research to production confidently.
Architect Data Platforms: Drive the design and implementation of scalable data platforms and pipelines that power our AI capabilities reliably and with an eye on cost and scale.
Cross-functional Collaboration: Work closely with the Algorithms and Data teams to tackle complex, real-world problems, translating research into shippable, maintainable systems.
Elevate Engineering Standards: Champion Software Engineering and System Design best practices across the group, introducing the right methodologies, tooling, and culture of craft.

As a Backend Team Leader, you will lead a team of backend and MLOps engineers that owns the systems behind our AI-driven product features. Your team works closest to our AI group - the Algorithms and Data teams - and owns the engineering side of turning models into reliable production capabilities.

Concretely, that means owning real backend architecture - the services and APIs that carry AI-driven capabilities into the product, the data collection pipelines that feed model training, the storage and query layers that hold model outputs and the insights we derive from them, and the validation pipelines that let us trust production flows. You will make the core design decisions on service boundaries, data models, event flows, and scale and cost tradeoffs, in a domain where both the data volume and the correctness bar are high. You do not need to arrive as an ML expert. You do need to be the kind of engineer who walks into an unfamiliar domain, learns it properly, and starts making good decisions in it.

What you'll be doing -

Lead and grow the team
Manage backend and MLOps engineers, some embedded in product pods; coach on delivery, decision-making, and career growth
Set clear expectations for ownership and quality; track progress against team goals, surfacing risks early.

Own the backend behind our AI features
Build and scale data pipelines with the AI group, and design how model insights are stored, queried, and exposed to the product
Build validation pipelines and partner with the Algo team to take models from experiment to production.

Drive architecture direction and alignment
Align backend decisions with the wider group, guide design discussions, and keep specs and plans on time
Collaborate with the platform team on infrastructure, deployment, and reliability standards.

Improve reliability and operational readiness
Raise the bar on stability, observability, and alert quality
Turn recurring issues into focused engineering work; lead debriefs and drive action items to completion.

As Backend Platform Team Leader, you'll lead the Platform pod. The pod owns our shared backend infrastructure (Kubernetes, Redpanda (Kafka), RabbitMQ, CI/CD, observability, and more), and it builds the tools, architecture and agentic workflows that let engineers in every other pod ship faster and more safely, at our growing scale

The role has two parts. As Pod Lead, you own the pod's direction, planning, delivery, and working process. As People Manager, you own the growth and performance of 3-4 direct reports, some of whom may work in other pods.

What you'll be doing -
Infrastructure Ownership: Keep our shared infrastructure reliable, secure, and cost-efficient, and make every change to it safe and well planned.
Architectural Evolution: Lead multi-quarter programs that reshape our backend, and migrate services onto them safely.
Reliability: Make sure problems surface early, and drive incidents to their real root cause.
Direction and Delivery: Maintain one clear, prioritized plan that you know in depth, and run a predictable team.
Planning and Delivery: Own sprint and quarter planning. Maintain one clear, prioritized plan that you know in depth, and run a predictable team.
Pod Process: Follow the PDLC, uphold the company's working processes and policies, and continuously shape and improve how the pod works.
Technical Ownership: Know the pod's systems and how they fit together deeply enough to reason about them with confidence, guide design decisions, and challenge assumptions.
People Leadership: Set clear goals and expectations, give honest feedback, invest in each report's growth, and stand behind your people. Where your reports work in other pods, stay aligned with those pod leads.