דרושים » ניהול ביניים » Senior Backend Engineer - MLOps Group, ML

We are looking for a Staff Engineer.
What Youll Do:
Lead architecture and system design for critical components of the Developer Experience platform, ensuring scalability, resilience, and long-term maintainability.
Own end-to-end delivery of complex initiatives, from requirements gathering and design to implementation, rollout, and observability.
Design, implement, and maintain robust microservices supporting high-throughput and low-latency operations.
Define and uphold API design standards, including gateway configuration, versioning strategy, and long-term lifecycle management.
Build and optimize backend systems that enable developer-facing products such as SDKs, APIs, and webhooks.
Work with both relational and NoSQL databases to ensure data consistency, scalability, and performance.
Collaborate with cross-functional teams to design systems that meet operational and business requirements.
Research and implement cloud-native architectures to support growth and scalability.
Contribute to the creation of developer tools and standards that improve the usability of our APIs and SDKs.

We are looking for a Senior Backend Engineer to join our AI/ML team. In this role, youll work closely with data scientists to transform cutting-edge machine learning models into scalable, production-ready services. You will take ownership of designing, building, and maintaining the backend systems that power our AI-driven features.

This is a key position that bridges the gap between data science and production engineering, ensuring high performance, reliability, and maintainability of our ML-powered products.

Responsibilities:
Collaborate with data scientists to understand modeling outputs and convert them into deployable services.
Design and develop robust, scalable backend systems and microservices to support AI use cases.
Own the deployment and monitoring of ML models in production (with CI/CD, logging, observability).
Implement data processing pipelines in support of model training and inference.
Ensure software adheres to best practices in architecture, testing, and documentation.
Optimize model inference for latency, throughput, and resource efficiency.
Contribute to design decisions and technical strategy alongside AI and infrastructure leads.

Required Data Backend Engineer, Platform Foundations
What Youll Do:
Youll be part of the group responsible for our main products. You will impact the work of developers in the group by designing, building and maintaining the core infrastructure of our solution and leading the research and development of new technologies as well as maintaining code standards and practices.
What does the day to day of Infrastructure Engineer look like:
You will be working on our core B2B platform that serves tens of thousands of customers, serving hundreds of terabytes in production. Our backend engineers are responsible for the entire data lifecycle - from our endless datatlakes, through choosing the right serving methods and databases, all the way to our api services.
Your role will include:
Design and implement scalable backend services and libraries that are reusable and maintainable, serving as the foundation for various applications across the company.
Build and maintain tools that streamline development workflows, enabling product teams to focus on delivering business value.
Define and promote best practices for code quality, performance, and reliability, ensuring healthy production environments and rapid development cycles.
Lead the adoption and integration of AI tools to assist in code generation, testing, documentation, and debugging, thereby accelerating development processes.
Perform proof-of-concepts (POCs) on emerging technologies, including AI agents and platforms, to assess their applicability and benefits to our development ecosystem.
Drive cross-team technical projects aimed at improving infrastructure scalability, reliability, and developer experience.
Analyze and resolve complex production issues, ensuring minimal downtime and optimal performance.
Contribute to the evolution of our system architecture, ensuring it supports rapid development and scaling needs.

We are seeking a highly skilled and experienced Senior Software Engineer to join our backend team. The ideal candidate will have a strong background in distributed systems, data engineering and software engineering, and will be responsible for leading the design, development, and deployment of top quality and an online ML system.
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.

Required Backend Engineer, Platform Foundations
What Youll Do:
Youll be part of the group responsible for our main products. You will impact the work of developers in the group by designing, building and maintaining the core infrastructure of our solution and leading the research and development of new technologies as well as maintaining code standards and practices.
What does the day to day of Infrastructure Engineer look like:
You will be working on our core B2B platform that serves tens of thousands of customers, serving hundreds of terabytes in production. Our backend engineers are responsible for the entire data lifecycle - from our endless datatlakes, through choosing the right serving methods and databases, all the way to our api services.
Your role will include:
Design and implement scalable backend services and libraries that are reusable and maintainable, serving as the foundation for various applications across the company.
Build and maintain tools that streamline development workflows, enabling product teams to focus on delivering business value.
Define and promote best practices for code quality, performance, and reliability, ensuring healthy production environments and rapid development cycles.
Lead the adoption and integration of AI tools to assist in code generation, testing, documentation, and debugging, thereby accelerating development processes.
Perform proof-of-concepts (POCs) on emerging technologies, including AI agents and platforms, to assess their applicability and benefits to our development ecosystem.
Drive cross-team technical projects aimed at improving infrastructure scalability, reliability, and developer experience.
Analyze and resolve complex production issues, ensuring minimal downtime and optimal performance.
Contribute to the evolution of our system architecture, ensuring it supports rapid development and scaling needs.

We are looking for a Senior Backend Engineer to join our R&D team and play a pivotal role in building our multi-cloud scanning system. This position is ideal for engineers who excel in solving large-scale challenges within a fast-paced startup setting, and who are passionate about pushing the boundaries of data security in a cloud environment.

Responsibilities:
Lead the design and development of our cloud scanning orchestration system, ensuring efficiency and scalability across multiple cloud environments.
Handle multiple system interactions, working with microservices and cloud-native components to build a robust and flexible scanning solution.
Research various Data sources APIs in order to develop connectors and perform efficient data scanning. Develop and implement efficient data scanning connectors by researching the APIs of various data sources.
Collaborate closely with cross-functional teams, including R&D engineers, product managers, and solution engineers, to deliver end-to-end features and tackle complex engineering challenges.
Gain a high-level architectural perspective while maintaining the ability to dig into technical specifics and optimize system performance.

Growing at an amazing speed in the hottest SaaS category of our generation,We’re on a mission to revolutionize how marketers, writers, and innovators create their marketing content. Anyword is creating the world’s leading GenAI content performance platform, based on 10 years of experience working with the biggest publishers and brands globally. With tools like ChatGPT and Gemini taking the world by storm, it’s clear that the spotlight is now shining on the Generative AI space. However, its ultimate hurdle is now a self-compounding problem: with infinite options for messaging now available to all marketers… How do we know what will actually work? We’ve built the brain behind all marketing messaging, no matter where it lives and how you create it (with AI or not). And now we’re looking to you to help change the world with us! We’re a team of doers from all walks of life who share a passion for AI and innovation. We believe in personal growth, care deeply about our work, and aspire to be world-class in everything we do. The Opportunity We are looking for a Senior Backend Engineer to design, build, and scale mission-critical services and APIs. In this role, you will take full ownership of systems that directly impact the company’s success and reliability. You’ll collaborate closely with data scientists, product managers, and customer success managers in a dynamic, agile environment—helping shape not only our product but also the infrastructure that powers it. With your technical expertise and enthusiasm for building robust, creative systems, you’ll play a key role in revolutionizing how marketing and sales communications are done. Responsibilities Design, implement, and maintain backend architecture for a growing SaaS product.
* Build APIs and background services, including:
* Integrations with external platforms.
* Scraping and analyzing content from the web.
* Integrations with internal machine learning services.
* APIs exposed to external customers at scale. Ensure system reliability, scalability, and performance , including monitoring, alerting, and troubleshooting.
* Contribute to infrastructure and DevOps practices , including CI/CD pipelines, container orchestration, and cloud operations.
* Take ownership of features from idea to production, ensuring smooth delivery.
* Collaborate with product managers and stakeholders to refine requirements into scalable solutions. Mentor junior engineers and contribute to improving engineering standards and practices. Qualifications 7+ years of industry experience in backend engineering, including maintaining production web systems. 5+ years of hands-on experience with Python, Node, Go, or Ruby in Linux environments.
* Strong knowledge of both relational and non-relational databases
* Proven experience with AWS (or another major cloud provider)
* Solid background with Docker, Kubernetes, and distributed systems at scale
* Experience with monitoring, logging, and performance optimization
* Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation) is a plus.
* Ability to write clean, maintainable code and continuously improve existing systems.
* A passion for solving complex problems and delivering customer value.
* Effective written and verbal communication skills, with the ability to work both autonomously and as part of a team.

Required Data infrastructure Backend Engineer
What Youll Do:
Youll be part of the group responsible for our main products. You will impact the work of developers in the group by designing, building and maintaining the core infrastructure of our solution and leading the research and development of new technologies as well as maintaining code standards and practices.
What does the day to day of Infrastructure Engineer look like:
You will be working on our core B2B platform that serves tens of thousands of customers, serving hundreds of terabytes in production. Our backend engineers are responsible for the entire data lifecycle - from our endless datatlakes, through choosing the right serving methods and databases, all the way to our api services.
Your role will include:
Design and implement scalable backend services and libraries that are reusable and maintainable, serving as the foundation for various applications across the company.
Build and maintain tools that streamline development workflows, enabling product teams to focus on delivering business value.
Define and promote best practices for code quality, performance, and reliability, ensuring healthy production environments and rapid development cycles.
Lead the adoption and integration of AI tools to assist in code generation, testing, documentation, and debugging, thereby accelerating development processes.
Perform proof-of-concepts (POCs) on emerging technologies, including AI agents and platforms, to assess their applicability and benefits to our development ecosystem.
Drive cross-team technical projects aimed at improving infrastructure scalability, reliability, and developer experience.
Analyze and resolve complex production issues, ensuring minimal downtime and optimal performance.
Contribute to the evolution of our system architecture, ensuring it supports rapid development and scaling needs.

Were looking for passionate individuals who thrive in collaborative environments and are eager to drive impact. If youre excited about solving complex challenges in bold, innovative ways, wed love to connect with you.

What are we looking for?
Our team is responsible for Endpoint Protection services, and covers end-to-end from agent to backend to frontend the following areas:
Building services that process traffic between our Agent (which is responsible for protection across all kinds of OS - Windows, Linux, macOS) and our cloud-based Management console
Developing a big part of backend of this Management console itself (which is in short a large-scale distributed system, a complex "control application" used by IT security teams of S1 clients - that can be seen in many S1 vs. Ransomware demos) and the management of the "fleet" of agents deployed on endpoints in client's environments (backends written in Python and Go and deployed in Kubernetes)
Were a team with a significant impact on how our customers environments are protected, and how they interact with agents. As a core team at S1, we're heavily involved in every end-to-end effort, features development and are key contributors to the design and build of the right architecture of S1's cybersecurity solution to match the scale & hyper-growth of our business.

What will you do?
Design, develop, and support robust backend system our main product line - Endpoint Protection
Feature Design and Documentation: Take ownership of designing new features and creating documentation.
Database Schema Design: Design efficient database schemas to support new and existing features.
Backend Service Development: Develop and maintain backend services using Go and Python. Create RESTful APIs to facilitate seamless interaction between the backend, front-end, and other systems.
Integration: Integrate with various cloud services (AWS, GCP), databases (Postgres, MongoDB), messaging systems (Kafka), and caching solutions (Redis) to enhance system functionality and performance.
Feature Support and Validation: Provide support during the feature validation cycle, ensuring smooth deployment to production environments.
Performance Optimization: Optimize system performance and scalability to manage demanding workloads effectively.
Requirement Translation: Understand product requirements and translate them into technical solutions.
Cross-Team Collaboration: Work closely with product, validation, and front-end engineering teams to deliver and maintain high-quality features.
Customer Communication: Communicate with customer care and support teams to address issues.
Code Quality and Maintenance: Write clean, maintainable code. Stay up-to-date with the latest advancements in backend technologies and security best practices.
Innovation and Creativity: Bring creativity to the table. Explore new solutions and technologies to improve our product continuously.