דרושים » ניהול ביניים » Senior BackEnd Engineer

We are seeking an experienced Senior Backend Engineer to join our Data Services team. The Data Services team manages, provides and processes the large volumes of data, used by our Scientists and customers.
In this role, you will be responsible for building new cloud and on-prem data systems and infrastructure, as well as maintaining, improving, and enhancing serving systems, in order to provide highly usable, robust, and efficient data services.
Responsibilities
Participate in the development of state-of-the-art auto-driving systems by managing the data required for training and validation
Build efficient services to manage and provision large quantities of visual and other types of data
Design, develop, and implement robust cloud and on-prem services
Contribute to the selection and utilization of new AI technologies, databases, and third-party services.

Required Senior ML Backend Engineer
Tel Aviv
As a Senior Machine Learning Backend Engineer, you'll architect and build the high-performance backend systems that power our AI at massive scale, craft real-time ML serving innovative solutions, and play a pivotal role in our mission to revolutionize the way companies understand their customer interactions. We're seeking a Java professional who can leverage their deep knowledge to drive our backend development to new heights.
You will be responsible for:
ML Serving Architecture: Design and implement high-performance inference APIs and model serving backends using Java & Python.
Model Lifecycle Management: Build systems for model versioning, A/B testing, canary deployments, and automated rollbacks.
Integration Platform: Create robust APIs and SDKs that enable product teams to seamlessly integrate AI capabilities.
Observability & Monitoring: Build comprehensive metrics, logging, and tracing systems for ML workloads.
Cross-team Leadership: Mentor engineers & researchers, drive technical decisions, and influence platform architecture across the organization.

We're seeking an experienced Fullstack Backend Engineer to join our team working on our platform. You'll be responsible for developing and maintaining core components of our AI-driven cybersecurity solution that helps enterprises detect, investigate, and respond to advanced threats across their entire IT estate.

Key Responsibilities:

Design and develop scalable backend services and intuitive front-end interfaces for our platform
Implement data ingestion and processing pipelines for large volumes of security data
Integrate AI-driven analytics capabilities and optimize system performance
Develop APIs and integrations with various IT and security tools
Implement robust security measures and ensure compliance with industry standards
Troubleshoot complex issues across the full stack of our application

As a Senior User Data Engineer in the Demand group in our Tel Aviv office youll play a vital role in developing one of the largest real time big data operations in the world to support over 40TB of new data every day.
Our Tech Stack: Java, JS, TS, Python, Reactive, Spark, Kafka, Hadoop, Cassandra, Vertica, ES, MySQL, Memcached, HDFS, Iceberg, BigQuery, Druid, Kusto, Docker, K8S, Linux, Prometheus, Grafana, Airflow
Gen AI: Cursor, Junie, GitHub Copilot, Langfuse and much more
How youll make an impact:
As a Senior Software Engineer, youll bring value by:
Design, develop, and address scalability challenges in our user data pipeline and identity graph, ensuring efficient handling of high-throughput, high-performance systems
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 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 processing and managing user data signals
Driving our companys data advantage by leveraging real-time user signals to uncover intent and boost key business performance metrics
Develop a complete user identities graph and find deterministic and probabilistic methods to enrich it
An algorithmic model to predict the performance potential of a specific audience
Infrastructure to create unique audiences for advertisers based on various signals (behavioral, contextual, etc)
An A/B tests system to explore variations and experiments over audiences
Understand and use big data algorithms to estimate key business metrics over billions of impressions
Build user interface using React that serve thousands of users.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
we are looking for a talented and experienced Senior Software Engineer to join our data group.
The team is responsible for processing structure and unstructured medical data from multiple external sources while building and maintaining an internal serving platform. Our key challenges include operating at scale, integrating with diverse external interfaces, and ensuring the data is served in a consistent and reliable manner.
Responsibilities
Lead development processes from ideation to production
Collaborate with product, medical, and software teams across the organization.
Own the design and evolution of the data ingestion and serving platform.
Mentor and guide junior and mid-level engineers.
Define best practices for system reliability, scalability, and observability.
Lead technical decisions around distributed systems, APIs, and integrations.
Build a customer-centric product with a deep understanding of the complex healthcare industry.

We are seeking a skilled Backend Engineer to join our team and implement advanced AI solutions in our travel and expense management products. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.

About the Role: You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.

What Youll Do::
Design and develop scalable, high-performance backend services and APIs.
Implement integrations with AI platforms and services.
Work with AI specialists to translate AI capabilities into production-ready features.
Ensure high reliability, performance, and security of AI-powered systems.
Collaborate with product and engineering teams to gather requirements and deliver solutions.

Were looking for a Senior Backend Infrastructure Engineer (or Tech Lead, for the right candidate) to join our core infrastructure team. This role is all about building and evolving scalable, high-performance backend systems that serve as the foundation for all our product engineering teams.
Youll be responsible for designing and developing distributed systems, owning critical backend infrastructure services, and working closely with architects, DevOps, and product engineers to ensure our platform is reliable, efficient, and future-proof.
Why join us?
we are one of the worlds fastest-growing fintech companies. We free finance professionals to lead by modernizing the entire payables operation. We are a well-funded, late-stage start-up backed by high-profile investors. Our 2021 Series F funding round raised $270 million, valuing us at over $8.3 billion. With total funding of just over $550 million, and with more than 5000 global customers, we are one of the most valuable private fintech companies in the world.
At our company, we pride ourselves on our collaborative culture, the quality of our product and the capabilities of our people. our workers are passionate about the work they do, and keen to get the job done. our company offers competitive benefits, a flexible workplace, career coaching, and an environment where diverse individuals can thrive and make an impact. Our culture ensures everyone checks their egos at the door and stands ready to reach for success together.
Founded in Israel in 2010, we are a global business headquartered in the San Francisco Bay Area (Foster City) with offices in Tel Aviv, Plano, Toronto, Vancouver, London, Amsterdam and Tbilisi.
In this role, you will be responsible for:
Designing, developing, and maintaining scalable infrastructure services and middleware in a distributed microservices environment.
Leading cross-team backend infrastructure initiatives that impact the entire R&D organization.
Building robust systems that support our product teams with high availability, observability, and fault tolerance.
Partnering closely with architects, DevOps, and backend engineers to define and implement best practices across the stack.
Driving performance improvements and architectural evolution with a long-term vision in mind.
Proactively identifying technical gaps and areas for optimization across our backend infrastructure.

As part of the Data Infrastructure team, youll help build Lemonades data platform for our growing stack of products, customers, and microservices.

Our platform ingests and processes data from operational databases, telematics, and diverse product sources. Youll build robust backend services and data processing pipelines, leveraging state-of-the-art frameworks and cloud-native solutions, all while collaborating with Data Engineers, ML Engineers, Analysts, and Product Managers to turn real-world needs into resilient systems.

In this role youll:

Design & Develop Backend Services: Lead the design and implementation of backend systems and APIs for our distributed data platform

Build Data Ingestion & Processing: Architect and develop scalable ingestion pipelines with streaming ETL, Change Data Capture, and large-scale batch and stream processing

Own Data Platform Infrastructure: Implement and optimize scheduling, workflow orchestration, and data governance tools to support high-quality, compliant data flows

Drive Engineering Standards: Establish and promote backend best practices, ensuring high reliability, code quality, and maintainability across the team

Cross-functional Collaboration: Work closely with data engineers, ML engineers, product managers, and analysts to translate business needs into scalable backend systems

Mentorship: Share your backend and infrastructure expertise by collaborating, reviewing, and mentoring fellow engineers.

As a Backend Engineer Tel Aviv, you will have the opportunity to build innovative products that affect our customers' lives directly, act as a developer on mission-critical systems, and build top-notch consumer-facing applications serving millions of users using the most advanced technologies.

We are looking for a highly motivated, experienced Software Engineer to join our R&D team to build our products and services to support new initiatives at running from the Tel Aviv office.

You Will:

Develop Scalable Systems: Build performant and scalable systems capable of serving over a million monthly customers, all while optimizing for minimal computing requirements.
Deliver Reliable Financial Services: Design, build, and maintain highly available financial services with a strong focus on data integrity and security. Be a key contributor to developing the next generation of products from the ground up.
Lead and Mentor: Serve as the technical lead for your team, mentoring colleagues, driving cross-team initiatives, and facilitating complex design discussions.
Focus on Distributed Systems: Design and implement resilient distributed systems that meet stringent performance and data integrity requirements.
Drive Payment Solutions: Take ownership of payment systems, collaborating with multiple providers and gaining a deep understanding of the global financial ecosystem.

We are looking for a highly skilled and experienced Senior Software Engineer to join our backend team.
In this role, you will leverage your expertise in distributed systems, data engineering, and software development to design, build, and deploy high-performance solutions. You will take a leading role in developing and maintaining a cutting-edge online machine learning system powered by PyTorch/Tensorflow models and Triton inference server.
This is an opportunity to work on complex, large-scale systems that serve billions of requests, shaping the future of ad tech and ML-driven optimization.
What you'll be doing
Architect and Build: Design, develop, and deploy robust, scalable, and high-performance distributed systems that form the backbone of ironSource's next-generation ML ad network.
Real-Time Ad Serving: Engineer and optimize critical systems for real-time ad serving, enabling machine learning models to make intelligent, low-latency decisions for optimal ad selection.
ML Infrastructure Innovation: Drive the evolution of our ML capabilities by researching, evaluating, and implementing cutting-edge techniques for feature stores, data aggregation, and model serving infrastructure.
Data Pipeline Engineering: Collaborate closely with data scientists and product managers to design, build, and maintain efficient and reliable data lakes and data pipelines, ensuring high-quality data for ML training and analytics.
Operational Excellence: Take ownership of key system components, ensuring their reliability, performance, and scalability in a production environment through proactive monitoring and continuous improvement.