דרושים » ניהול ביניים » Senior AI-Native Backend Engineer

We are seeking a Senior Backend Engineer - Data Platform to join our expanding team and play a crucial role in designing, building, and maintaining robust and scalable data pipelines and infrastructure. In this role, you will directly enable data-driven decision-making and support the development and deployment of AI/ML products that power Health.

Youll collaborate closely with engineering, product, and data science teams to ensure our data systems are high-quality, resilient, and scalable as we grow. As a Senior Backend Engineer on our Data Platform team, you will drive efforts to deliver reliable, efficient, and consistent data services across the organization. You will also help enable the rapid development and deployment of advanced features, insights, and AI-driven capabilities that improve outcomes for clinicians and clients.

Who are you?
You are a seasoned backend or data engineer with experience working on production-grade ML/AI-powered products. You thrive in fast-paced, high-ownership environments and are passionate about building scalable and reliable systems. You understand the unique requirements of delivering AI/ML features in production, and you are comfortable working with modern technologies in the LLM/RAG ecosystem.
You pride yourself on delivering high-quality solutions quickly, without sacrificing design or reliability. Youre known for your responsiveness, collaborative spirit, and service-oriented mindset-especially when youre on-call and the stakes are high.How will you contribute?
Design, implement, and maintain scalable and reliable data pipelines and backend systems supporting both operational and analytical needs, with a focus on ML/AI product enablement.
Ensure data processing is optimized for speed, efficiency, and fault tolerance, enabling seamless integration with AI/ML workflows and reliable performance across all our Health products.
Monitor and improve uptime, reliability, and observability of our data infrastructure and pipelines.
Build and maintain systems to ensure data quality, consistency, and usability across the organization, enabling advanced analytics and AI solutions.
Work closely with product and engineering teams to deliver new features rapidly and with a high standard of technical excellence.
Drive innovation in how we build, measure, and optimize data features, backend services, and AI product integrations.
Participate in on-call rotations with a service-oriented approach and fast responsiveness.
Lead scalability efforts to support increasing data volumes, expanding AI/ML initiatives, and new product launches.

Realize your potential by joining the leading performance-driven advertising company!
As a Senior Backend Engineer, youll be instrumental in building and optimizing our core infrastructure for managing RTB requests at scale, one of the biggest revenue driven operations in the company.
How youll make an impact:
As a Senior Backend Engineer, youll bring value by:
Develop one of the largest real time big data operation in the world to support over 40TB of new data every day
Have end to end ownership: Design, build, ship, measure and maintain our frontend and backend services
Collaborate with the brightest software engineers team members
Influence directly on the way billions of people discover the internet
Develop at unimaginable scale, serving hundreds of thousands of requests per second
Work on innovative projects that are the next growth engines for our company
Here are some of the things software developers in our group did in the last several months:
A unique data pipeline for managing RTB requests at scale
An algorithmic model to predict if a given Real-Time impression is valuable to our company
A smart gateway that ingests hundreds of thousands of requests per second for a single instance
An A/B tests system to explore variations and experiments
And many more.

we are Senior Backend Developer.
What will you do:
Design, scale, and operate high-throughput, low-latency services to support high scale of ingestion, augmentation, continuous ML training, and real-time prediction.
Design, implement, deploy and own E2E Cloud clusters, services, and infrastructure to support extreme workloads and traffic flow while maintaining a lean design and low-maintenance architecture.
As all our systems are data-driven you will have an analytical aspect in measuring your modules both business and performance-wise
Build internal simulation tools and validation endpoints that let the team test changes against live traffic before they ship
Work side by side with data scientists and researchers - designing, implementing, and owning entire areas of the system from prototype to production
Technological superiority is what gives us our edge so youll work and be up to date with the latest tech and trends

Required xEngineer
the company makes it possible for anyone to succeed online. since 2006, weve grown to 5,000 employees in 17 countries, launched over 40 products, and serve over 230 million users and their visitors worldwide. here, we push you to innovate, evolve in non-traditional ways, and grow outside your comfort zone. we operate in small teams that work closely together to create incredible things. although were already industry leaders in web creation and business, our work is nowhere near done. our goal is to become the main engine of the internet so we can create a more open web for all. we believe solving complex problems starts by building strong infrastructure and platforms supported by engineers working with cutting-edge technology. as a dev-centric company, we rely on testing, implementing smart feedback loops, measuring impact, and using fail fast methodologies to keep our high-scale traffic and advanced products in constant progress with a 99.99% uptime.
as a backend xengineer, youll design and own the core systems that impact millions of users, working with an ai-native focus to craft high-performance backend architectures and scalable, reliable platforms. in your day-to-day, you will:
design and own end-to-end backend systems and features that impact millions of users
focus on backend architecture and system design, making thoughtful trade-offs around scalability, reliability, security, and maintainability
take full ownership from data models and apis to production systems and distributed architectures
use ai as an integral part of your daily work-for planning, design, execution and production, while ensuring ai-assisted outputs meet the highest production standards
work with modern technologies (e.g., JAVA, scala, Node.js, cloud, and ci/cd) while continuously evolving your toolkit with ai-powered tools
collaborate closely with product managers, designers, and engineers to shape solutions while ensuring production quality, observability, and long-term system health
here, we believe our best work happens together. our work model is fully in person, with 5 days a week from our office. flexibility remains a core value at the company and special requests are handled thoughtfully at the team level.
we are the company's backend xengineering group - a team of xengineers who specialize in backend development. we provide integrated tools for microservice development to improve Developer productivity and best practices. as xengineer, we use ai-native workflows that allow us to concentrate on what truly requires human judgment: system architecture, security, and scalability. to handle high-scale traffic, our team runs production across distributed data centers worldwide. we take complete ownership of our systems, and maintain the deep expertise required to manage a global engine of the internet.

Were hiring a ML Engineer to accelerate AI-driven innovation across our B2B SaaS platform.

Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.

What You Will Do:
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across our product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.

we are looking for a Senior Backend Software Engineer.
As a Senior Software Engineer on the Product Analytics Backend team, you'll join a new, fast-growing product area. You will help define our technical vision, influence the product roadmap, and solve complex engineering challenges at scale.
In Product Analytics, we consume and process data from multiple sources: clickstreams, user information, and data from third-party systems. Your work will be central to building a robust and flexible system that can ingest, manipulate, correlate and store all this data to have it efficiently queried by our end users.
What Youll Do:
Design, build, and maintain core backend systems for Product Analytics, ensuring scalability, reliability, and high performance
Drive technical architecture decisions in alignment with product goals and collaborate closely with frontend and platform teams
Work with our core platform teams to tailor Datadog's storage and query solutions to our needs
Create a strong team culture aligned with our engineering standards and our customer focus
Participate in hands-on engineering work including coding, code reviews, and design reviews

We are looking for a Senior AI Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives, striving to constantly bring innovation and leverage AI capabilities across all company teams and products.
Today, AI is central to how we operate, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.
If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.
Why should you join us?
This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future. Together, well build infrastructure for autonomous and interactive agents, enact AI guardrails and evaluation frameworks to ensure performance and safety, and implement state-of-the-art
AI and Agentic patterns.
This role presents a unique opportunity to enter the AI domain. For those with some experience in AI infrastructure, it offers the chance to grow within a team that is evolving us from the AI experimentation phase to building and leveraging AI-powered products.
What you will be doing:
Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
Develop and maintain our internal MCP server that easily and securely exposes our vast data stores to AI agents.
Create and implement robust evaluation frameworks and AI guardrails to safeguard our value and ensure model reliability.
Establish deep expertise and sustainable AI engineering practices.
Promote AI readiness and track adoption across the company to build lasting impact.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
Partner with teams across to accelerate AI adoption and productization efforts.

We are looking for a motivated and experienced Machine Learning Platform Engineer to join our dynamic team.

In this role, you will collaborate closely with data scientists and DevOps professionals to design and build the infrastructure, ecosystem libraries, and pipelines that power our data science initiatives. You will take ownership of model development, monitoring, and maintenance, working hand-in-hand with data scientists on a daily basis.

If youre passionate about AI, machine learning, and writing high-quality code-and are eager to contribute to innovative, impactful do good projects in the digital health space-wed love to hear from you!

What you'll be doing:
Design, develop, and maintain our machine learning ecosystem libraries.
Build and manage data science code, Docker images, and Kubeflow Pipelines (KFP).
Create and maintain CI scripts to ensure seamless integration and delivery.
Conduct thorough code reviews to uphold high-quality standards.
Collaborate closely with data scientists, understanding and addressing their evolving needs.
Work alongside software developers to seamlessly integrate machine learning models into production systems.
Stay current with the latest advancements in machine learning, leveraging innovative techniques to enhance the companys products and services.

we are looking for a Senior Backend Engineer.
As a Senior Backend Engineer, you will play a pivotal role in shaping the architecture and evolution of our backend services. You'll work in a dynamic, collaborative environment where innovation and creativity are encouraged.
Your responsibilities:
Architect, develop, and test cloud-native microservices, ensuring they meet our high standards of scalability and reliability.
Deeply engage with a range of tech stacks, showcasing your expertise beyond a single framework-particularly in AI technologies, LLM frameworks and cloud infrastructure, including containerized environments like Kubernetes and Docker.
Collaborate closely with cross-functional teams, including sales and customer success, to ensure our solutions are perfectly tailored to customer needs.
Grow a culture of continuous learning and improvement, mentoring team members and guiding their professional development.
Design and build systems with security at the forefront, understanding and applying key security concepts to protect our customers and their data.

We are looking for a Senior Backend Engineer to join our R&D team in developing the new rising product in the health landscape.

As a Senior Backend Engineer, you will have an impact on how we architect, build, scale, and maintain our backend systems. You will provide technical guidance and mentorship to other engineers on the team, help establish and maintain best practices for development, and participate in the development of the companys technological roadmap. Youll solve complex engineering challenges and drive engineering excellence in a dynamic environment and rapidly increasing scale.

Our ideal candidate has a real passion for making a positive change in the world, for technology and customers, has great communication skills, and loves to constantly improve themselves, our working practices, and our code base.

This is a great opportunity to join the core team of a growing, successful startup and work with the most advanced technologies.

Responsibilities
Lead/Participate in system design and architecture discussions.
Implement and own infrastructure and features; be involved and impact the entire product lifecycle (concept, design, test, release, and production support).
Teach, mentor, grow, and provide advice to other domain experts and individual contributors.
Acquire an in-depth understanding of our technical challenges and strive to improve them.
Play a central role in technical, business, and organizational contributions.
Be a vocal advocate for technical excellence and help the team members make sound decisions.
Work with product managers, data scientists, and other team members to understand the desired requirements and provide your feedback to improve the outcome of the feature.