דרושים » ניהול ביניים » Senior Backend Developer (Core Systems)

We are looking for a passionate Senior AI-Native Backend Engineer to join our small, high-caliber team. You will design, develop, and deploy the core systems behind our real-time bidding engine - a Go-based service that processes over 2 million requests per second, running a multi-step pipeline of campaign selection, ML prediction, and bid calculation, all within single-digit milliseconds. You'll also build and maintain the surrounding infrastructure: data pipelines, configuration systems, ML serving layers, and internal tools - working across Go and Python in a microservice environment.
This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, data-oriented environment. If you are experienced but hungry to learn and have outsized impact - wed love to have you on our team!
Design & build backend services of a cutting-edge consumer-facing product, designed to compete at the highest level with the worlds leading tech companies.
Work closely with data scientists and developers to understand the business from top-to-bottom and identify new modules that could turbocharge company processes
Improve our user-facing modules and tackle diverse issues like solving worldwide caching and optimizing page performance
Work on features that bring real-time data, analytics, and machine learning directly into the product, shaping how users interact with AI-driven functionality at scale.
Technological superiority is what gives us our edge so youll work and be up to date with the latest tech and trends

we are looking for a C++ Developer.
As part of your role, you will design the architecture, develop, and deploy a new consumer-facing product from the ground up. This role uniquely blends deep low-level R&D with the challenges of performance optimization at a large-scale. This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, data-oriented environment. If you are experienced but still hungry to learn and impact - wed love to have you on our team!
Design, build, and maintain the core modules of a cutting-edge consumer-facing product, poised to compete at the highest level with the worlds leading tech companies.
End to end research and development of complex low-level features as part of a large scale project built by a small team.
Plunge into a world of data, analytics, and ML.
Work closely with data scientists and developers to understand the business from top-to-bottom.
Technological superiority is what gives us our edge so youll work and be up to date with the latest tech and trends.

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 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.

We are looking for a Senior Big Data Engineer to join our growing ML Platform team. This is a great opportunity for an experienced Data Engineer who wants to apply their skills to the world of Machine Learning. Together, well provide the high-throughput tools and distributed systems needed to process billions of data points, ensuring that our models have the feature-rich, reliable data they need to perform in real-time.
ML is central to our work. It enables us to process billions of dollars worth of e-commerce transactions and identify fraud rings. Precision at scale is crucial-our models depend on engineered features derived from massive datasets. As the volume of data and the complexity of these models grow, we need senior engineers who can solve the "Big Data" challenges inherent in modern MLOps.
Why should you join us?
Youll be part of a highly proficient engineering team that is the focal point for all ML engineering activity. This role is perfect for a Big Data specialist who wants to own the data-intensive side of ML-building the pipelines and infrastructure that transform raw global traffic into actionable intelligence.
What you will be doing:
Designing and building the data-heavy components of our ML infrastructure, allowing our models to make billions of real-time decisions every year.
Building distributed data processing pipelines that power model training, feature engineering, and offline research at scale.
Optimizing the "Feature Store" concept-ensuring that the data used for training matches the data used in production for real-time serving.
Acting as a technical consultant to data scientists and researchers, helping them navigate massive datasets and providing the Spark-based tooling they need to iterate faster.
Expanding our ML data infrastructure to be scalable and efficient, focusing on the performance of data ingestion and transformation for diverse model types.
Improving MLOps standards by ensuring data reproducibility, lineage, and quality across the entire model lifecycle.

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.

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 seeking a Senior/Backend Engineer for our Cortex Platform team to build and scale the systems that power the future of cybersecurity. You will help prevent, detect, and respond to threats by working on an integrated endpoint, network, and cloud data platform, ultimately reducing noise and allowing focus on real threats.
Key Responsibilities
Design, build, and maintain a highly scalable, distributed cloud infrastructure capable of processing billions of events per second.
Own the complete software development lifecycle, from requirement analysis and design to development, deployment, and ongoing support.
Write clean, testable, readable, and maintainable code with a focus on performance and scalability.
Proactively collaborate and exchange information with cross-functional teams to accomplish shared objectives and build industry-leading cyber products.
Analyze and solve complex engineering problems at scale, ensuring the reliability and efficiency of our data storage and processing systems.

Your Role:

Lead the design and development of complex, high-performance, backend services within the One ecosystem, ensuring modularity and long-term maintainability.

Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.

Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.

Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.

Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.

Take a production-first approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.

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.