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we are looking for a Solution Engineer.
Responsibilities:
Lead and support customer-facing Demand Forecasting use cases from discovery through deployment
Work hands-on with customer data to design, test, and validate forecasting solutions
Act as a trusted analytical and technical advisor to customers, deeply understanding their business context and datasets
Analyze and explain model outputs and complex analytical concepts in a clear, business-oriented way
Troubleshoot technical and data-related challenges and drive them to resolution
Collaborate closely with Data Science and Customer Success teams, providing structured feedback from customer use cases
Help customers achieve measurable business impact and adoption of Demand Forecasting module

We are looking for a Staff Architect, Data & AI Infra to shape, build, and scale the infrastructure that powers our data, AI, and research platforms. This is a senior player-coach role with broad architectural ownership across data infrastructure, ML infrastructure, developer experience, reproducibility, and production reliability. You will work across the wider engineering group as a hands-on technical architect, while also managing a small team of individual contributors focused on ML infrastructure.

This role is ideal for someone who can move between long-term platform architecture and practical execution: defining standards, building core systems, mentoring engineers, improving reliability, and partnering with Data Engineering, AI/Research, Product Engineering, Security, Bioinformatics, and Leadership to make our data and AI platforms scalable, reproducible, secure, compliant, and easier to use.

Location: Ramat Gan, Israel (hybrid model)

What will you do?

Architectural Leadership: Own and evolve the technical roadmap for our data and AI platforms, ensuring scalable and reliable architecture that supports current needs and prepares for a multi-cloud future.
MLOps & Platform Development: Design and build end-to-end MLOps systems-covering experimentation, training, reproducibility, and deployment-while managing specialized infrastructure like BigQuery, orchestration tools (Dagster/Airflow), and R/Python workloads.
Infrastructure Strategy: Define and lead strategy for GPU resources (scheduling, utilization, batch compute) and establish engineering best practices, data architecture standards, and platform guardrails.
Developer Experience: Enhance developer productivity by building self-service platforms, automation, internal tooling, and reusable templates that simplify workflows and reduce operational friction.
Team Leadership: Act as a player-coach to mentor engineers and manage a small team of ICs, fostering a culture of sound decision-making and technical excellence across the broader group.
Security & Reliability: Partner with Security to enforce compliance (SOC2, HIPAA, GDPR) and access controls, while mitigating operational risk through improved observability, incident readiness, and robust support processes.

We are looking for an ML Infra Engineer to play a central role in evaluating, and deploying our AI models. You will own and evolve our benchmarking and evaluation capabilities for foundation models and multimodal systems, while also working closely with modeling teams to support model development, iteration, and validation. This role sits at the intersection of software engineering, model understanding, and applied AI, with broad influence on how models are built, compared, and improved across the organization.

This is NOT a core algorithmic research role - but rather, a role focused on building out the ML engineering infrastructure for the evaluation and deployment of models.

Location: Ramat Gan, Israel (hybrid model)

What will you do?
Own & Evolve Benchmarking - Design, build, and maintain our benchmarking suite for foundation models and multimodal AI systems.
Define Core Abstractions - Create clean, extensible abstractions and APIs for datasets, tasks, models, metrics, and evaluation workflows.
Develop Metrics & Evaluations - Implement metrics that capture predictive performance, biological relevance, and multimodal alignment.
Support Model Development - Work closely with AI scientists and data scientists to integrate new models, tweak architectures, and enable rapid, fair iteration.
Bring in New Models & Baselines - Add external and internal models to benchmarks and ensure meaningful comparisons.
Explore Data When Needed - Dive into data and results to debug evaluations, understand model behavior, and unblock modeling work.
Enable Rigor & Reproducibility - Ensure evaluations are consistent, well-versioned, and trustworthy over time.

we are looking for a Senior ML Engineer.
Responsibilities:
Work on core data and machine learning infrastructure, which is at the heart of offering. You will create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation. All in large scale and completely automated.

our company runs on small, autonomous pods that own an outcome and a roadmap end to end. We hire engineers, not language specialists: we care that you can reason about systems, pick the right tool for the problem, and ship reliable software across the stack.
As a Senior Full Stack Engineer, you'll build the product surfaces that bring our marketplace together - campaign management and creation, unified dashboards and reporting, audience and asset tooling, and the APIs that connect demand to supply. You'll work across front-end, back-end, and data, contributing to the unified product architecture at the heart of our FY27 roadmap. The underlying platform requires heavy back-end engineering, low-latency optimization, and algorithmic problem-solving to manage massive throughput and real-time marketplace dynamics.
About the Senior Full Stack Engineer Role
Design and build full-stack features - from responsive web front-ends to back-end services and APIs - that power campaign management, reporting, and marketplace optimization
Choose the right language and tools for each problem (we run a polyglot stack), and keep the front end lightweight by pushing complex computational logic, data modeling, and heavy algorithmic weight into robust, scalable back-end services
Build and consume well-designed APIs that integrate DT products into a unified architecture rather than isolated silos
Own your services in production: testing, observability, performance, and on-call, treating quality as a whole-team responsibility
Collaborate directly with product leads and stakeholders, contributing to scoping, estimation, and technical decisions within your pod
Mentor teammates and raise engineering standards through code review, automation, and pragmatic architecture.

At our company, we make mobile advertising and discovery experiences more meaningful for users, app publishers, and advertisers - intelligently connecting people across more devices than anyone else in our space. Our on-device footprint, Ignite, ships with hundreds of millions of devices through the world's leading OEMs and carriers, and is the foundation of our strategy to maximize the value of our on-device presence.
As a Senior Mobile Engineer, you'll build and harden the SDKs and on-device services that power app delivery, discovery, and monetization at carrier and OEM scale. This is a high-impact role on a small, autonomous team that owns its products end to end - from design through release, monitoring, and on-call. Your work directly supports our FY27 goals of reducing installation failures, enabling dynamic app delivery, and extending our on-device presence into alternative distribution.
About the Senior Mobile Engineer Role
Design, build, and maintain high-performance Android SDKs and on-device services (with iOS work as our cross-platform footprint grows), focusing on reliability, footprint, battery, and security
Drive down install and delivery failures - improving package-manager reliability, dynamic app-delivery (ASR), and recovery paths across a highly fragmented device and OS landscape
Partner with OEM and carrier integration teams to ship features that operate within tight platform, privacy, and resource constraints
Extend on-device surfaces that power alternative distribution and brand-on-device experiences, a key pillar of DT's FY27 roadmap
Own the full lifecycle of what you build: instrumentation, alerting, rollout strategy, A/B experimentation, and on-call for your services
Raise the bar on code quality through reviews, automated testing, and tooling, and mentor other engineers on mobile best practices.

The Tech Platform organization maintains and evolves the foundational platform and shared services that every other DT workstream depends on. As we assemble siloed products into a single marketplace, getting the platform right - reliable, observable, standardized, and cost-efficient - is the critical variable for execution at marketplace scale.
As a Senior Infrastructure Engineer, you'll design and operate the large-scale distributed systems, data infrastructure, and deployment platforms that serve tens of billions of daily events. You'll help drive our OneDT standardization - including the migration to GitOps/ArgoCD and unified CI/CD - and build the platform capabilities (including ML and data infrastructure) that the rest of engineering builds on.
About the Senior Infrastructure Engineer Role
Design, build, and operate large-scale distributed systems and data platforms for reliability, scalability, and cost-efficiency
Drive the OneDT platform standardization: GitOps/ArgoCD adoption, unified CI/CD pipelines, and a clear developer-ownership model across business lines
Build and operate Kubernetes-based infrastructure, including Spark-on-K8s and data/ML platform tooling (e.g., Databricks ecosystems)
Implement MLOps and data-pipeline capabilities - training, deployment, and serving infrastructure - in partnership with ML and Data teams
Champion observability, automation, and cost-optimization initiatives that improve reliability while reducing spend
Participate in on-call rotations, lead incident response and blameless postmortems, and prevent recurrence through automation and platform improvements.

Do you thrive on solving complex problems and want to make a real impact?
we are looking for a Backend Java engineer responsible for managing the interchange of data between the server and the users. In this senior role, you will play a pivotal role in our optimization engine, driving the core routing intelligence of our platform.
If you like a good challenge and are looking for a place to grow professionally, we are the place for you! Join the amazing process of developing a robust and scalable solution for the last mile and on-demand world.
Responsibilities
Optimization Engine Leader: Serve as a central pillar for our optimization engine, collaborating closely with the product team to shape the journey from client requirements to server-side reality.
Architecture Ownership: Lead and maneuver the optimization engine architecture to ensure maximum efficiency and scalability.
Complex Problem Solving: Solve complex puzzles by investigating discrepancies between system design and real-world results, proving hypotheses, and taking actionable steps to resolve them.
Backend Development: Define and maintain the server end-to-end flow, develop server-side logic, and ensure high performance, scalability, maintainability, and responsiveness to frontend requests.

We are looking for a passionate Frontend Engineer with expertise in Angular to help us build world-class solutions. As part of our dynamic team, you will have the opportunity to shape the user experience, ensuring our platform is efficient, intuitive, and scalable.
Your primary focus will be implementing new features and maintaining existing code focusing on performance and a responsive pixel-perfect user interface.
The main duties will include creating reusable and testable modules, services, and components using best practices and coupling them into a functional web application while cooperating with the backend and product teams.

We're looking for a Senior Security Engineer to help secure our company's applications, infrastructure, and the agentic systems we're building for the future of insurance.
You'll be part of a small, sharp security team that works horizontally across the entire organization - from AI and application security, to cloud and IT security, and beyond. This isn't a narrow, siloed role. You'll own meaningful domains, drive automation that lets the team scale, and help shape how security works at a company that's genuinely reimagining what insurance can be. The team has built an in-house AI security platform, and you'll build your agents on top of it.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Build and maintain automation systems and AI agents that minimize manual security work and help the team scale
Code internal security tools in TypeScript and/or Python that the team relies on and builds from
Evaluate third-party security tools and vendors, and take ownership of the ones we adopt
Identify new attack vectors and security gaps proactively - before they become problems
Partner with product, cloud, and IT teams on security design as new features and infrastructure take shape
Support security operations across the organization - from triaging alerts and incidents to reviewing code for vulnerabilities, as you grow into the role.

Appdome's mission is to protect every mobile app in the world and the people who use them. We are the leader in AI-native mobile business protection, providing cyber and fraud teams with an agentic platform that builds, monitors, and maintains security defenses in Android and iOS apps — with no SDKs, no coding, and no disruption to engineering cycles.
Our platform delivers over 400 security, anti-fraud, anti-bot, and API protection capabilities, powered by deep learning models trained on a decade of mobile defense data and trillions of live threat events. From build time to runtime, Appdome's AI Agents help mobile brands detect, investigate, and respond to threats faster than ever — recognized as the best AI Platform for Cyber Resilience at RSA Conference 2026 for the second consecutive year. Leading financial, healthcare, m-commerce, and B2B brands rely on Appdome to secure over 50,000 mobile apps and protect more than 1 billion end users globally.
Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.
?About the Role
We are looking for a Data Assurance Engineer with strong experience in data validation, automation, analytics testing, and large-scale event pipeline quality.
This role is focused on ensuring the accuracy, stability, and reliability of data across our analytics and security event systems. The ideal candidate will be responsible for building automated validations, investigating data discrepancies, monitoring data quality, and working closely with engineering, data, and product teams.
Responsibilities

* Design, build, and maintain automated validation processes for large-scale event pipelines.
* Validate end-to-end data flows across ingestion, processing, storage, and dashboard layers.
* Create SQL-based validations to verify event counts, unique devices, metadata accuracy, schema
* consistency, latency, and data freshness.
* Investigate discrepancies between production systems, staging environments, data warehouses, object
* storage, and customer-facing dashboards.
* Monitor event volume, data latency, anomalies, spikes, drops, duplicates, and missing data.
* Build and maintain CI/CD validation jobs using tools such as Jenkins or GitLab CI.
* Create clear automated reports, dashboards, and email summaries for validation results.
* Work closely with backend engineers, data engineers, QA teams, and product stakeholders to identify,
* report, and validate fixes for data quality issues.
* Support performance and scalability testing for analytics dashboards, queries, and data pipelines.
* Help improve internal data assurance processes, data observability, and production monitoring.

We are proud to lead the industry with our innovation, intelligence, and independence as the company best-suited to power the future of advertising.
We're looking for top-notch, passionate Software Engineer to be part of our world-class Engineering team. If you think you can handle a wide range of technologies, pushing code to production several times a day, working on a different part of our product code with every new task you get, and using the best practices in the industry? Please contact us!
You will -
Participate in designing and developing our company products in multiple technologies, no code ownership environment
Design and develop modules for a high-end product that serves billions of transactions a day
Deploy your code to production in a continuous manner
Be responsible for the healthiness of your application in production
Work with product managers to define, prioritize and finalize features
Carry out full-stack, end to end development

Join our Core SDK Team, responsible for building and maintaining the core mobile technology that powers our platform across millions of applications worldwide. The team develops high-performance, reliable, and secure SDK components used by developers globally.

The Core SDK team operates across Android and iOS platforms, with a long-term vision of a unified mobile SDK engineering team. Engineers collaborate across platform boundaries while maintaining deep expertise in their primary mobile ecosystem.

Operating at the intersection of mobile platforms and large-scale distributed systems, the team tackles complex challenges such as performance optimization, platform compatibility across thousands of devices, and maintaining highly reliable code that runs on billions of devices.

As the team evolves, we are also expanding beyond traditional mobile development and scaling engineering capabilities with AI. This includes building and using AI-powered tooling, MCP-based systems, and agent-driven automation to improve developer productivity, testing, and SDK innovation.

Engineers in the team therefore have the opportunity to work not only on mobile platform challenges, but also on emerging areas where mobile infrastructure, AI systems, and developer platforms intersect.

What youll do
Develop and maintain our mobile SDK features used by developers worldwide.
Design and implement reliable and performant SDK components across multiple mobile platforms and operating system versions.
Take ownership of end-to-end quality, including design, implementation, testing, and production reliability.
Debug and resolve complex issues across different devices, OS versions, and runtime environments.
Improve SDK performance, stability, and reliability at scale.
Develop and maintain SDK wrappers and integrations for cross-platform frameworks such as Unity, React Native, Flutter, and other mobile environments.
Work with modern AI-driven engineering tools, automation systems, and internal developer platforms.
Collaborate with engineers across mobile, backend, frontend, and platform teams.
Participate in code reviews and contribute to engineering best practices.

You are the technical owner of our most strategic and enterprise accounts post-sale. Part solutions architect, part relationship lead - you design and implement the integrations, automations, and AI-driven workflows that make our company the backbone of complex, global IT environments. You bridge business requirements and technical reality, and you own the outcome.
What You'll Do
Lead end-to-end project lifecycles - from architecture workshops to deployment - ensuring a white-glove customer experience
Design and implement complex integrations using REST APIs and webhooks with platforms such as ServiceNow, Salesforce, Okta, and Azure
Build AI-driven automation workflows that reduce manual overhead and optimize IT operations at scale
Serve as the primary technical point of contact for all parties, including C-level and VP-level stakeholders
Produce clear architectural diagrams, technical guides, and API documentation
Travel internationally up to 25% and domestically up to 15% for on-site engagements.

we are looking for a Web QA & Automation Engineer for our WordPress-based marketing website. You'll own site quality end-to-end: test plans, manual testing, and automated tests that keep the site fast, stable, and bug-free.
This is a QA-first role, needing strong manual QA skills and an eye for the risks unique to a CMS-driven site (theme/plugin updates, page builders, third-party scripts, SEO). Automation is a core part of the role - you'll use AI-assisted tools and modern frameworks to steadily expand test coverage and reduce manual overhead.
Responsibilities
Act as a quality champion for the marketing website, fostering a strong testing culture and driving best practices across manual and automated QA.
Collaborate with Marketing stakeholders to validate specifications, align on quality expectations, and ensure smooth release cycles.
Own site quality throughout the development lifecycle - from requirements and design validation to implementation, release, and post-launch monitoring.
Serve as the go-to expert on web quality, acting as the key link between Marketing, Web Development, and external stakeholders.
Write test plans and translate them into automated tests where relevant.
Build regression, functional, and end-to-end tests to protect site quality.
Manually test new features, landing pages, and content updates for release readiness.
Test across browsers and devices for a consistent user experience.
Debug flaky tests and keep automated suites healthy.
Track bugs through to resolution.
Check page performance and SEO-critical elements pre-release.
Partner with Marketing and Web Development to define coverage for upcoming changes.