דרושים » תוכנה » Backend Engineer (Platform team)

We are seeking a skilled Senior Backend Engineer to join our team and help us build our company Cognition, a multi-agent AI platform. 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.

We are seeking a passionate and proactive Intermediate Backend Engineer(or an experienced Junior ready for the next step) to join one of our core development team. This is a high-impact role for a fast learner and natural problem-solver who has mastered the basics, is genuinely excited about technology and building robust, scalable systems and ready to take full ownership of complex features.
We are looking for someone who doesn't just code, but who lives and breathes technology. The ideal candidate is up-to-date with industry trends, has a history of writing substantial code, and has worked on interesting, complex systems-whether in a professional environment, the army, or through significant personal projects. If you are self-motivated, eager to take ownership, and thrive on getting things done, we want to hear from you.
What You'll Do:
Be an active, hands-on member of the software development lifecycle, from product and software design to implementation and testing.
Write high-quality, maintainable, and efficient code, primarily in Python.
Quickly learn and gain a deep understanding of our product architecture, design patterns, and development processes.
Develop, deploy, test and maintain robust RESTful APIs and (mostly)backend services. You will design and implement scalable microservices within an event-based ecosystem..
Collaborate on maintaining our 24/7 live production environment, troubleshooting and resolving issues as they arise.
Collaborate with DevOps and infrastructure teams to ensure smooth deployment and reliability.

Were seeking an experienced and skilled Data and AI Infra Engineer to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data and AI infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure.
A day in the life and how youll make an impact:
As a Senior Engineer, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.

Were seeking an experienced and skilled Data and AI Infra Tech Lead to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data and AI infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure.
As a tech lead, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team.
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.

We are looking for a Backend Engineer, Data Pipelines to join our Exposure Management & Security Operations department. This is a hybrid role based in our Ramat Gan office three days a week (Sundays, Tuesdays, and Wednesdays), reporting to the Senior Manager, Software Development Engineering.
Avalor curates and contextualizes data from hundreds of security and business tools to help companies understand and address their riskiest problems. Our robust data platform and strong security modules provide immediate and secure benefits to our customers. If you're passionate about data and helping companies improve their security posture, we'd love to have you join Avalor as we make the world a more secure place.
What youll do (Role Expectations):
Developing and maintaining high-quality, scalable backend services within a microservices architecture using Java/Spring Boot and Python
Leading and designing solutions from scratch to production with a focus on scale and reliability
Monitoring the performance and cost of the services in production to ensure operational excellence
Stay up-to-date with industry trends and best practices to continuously improve our technology stack and development processes
Integrating with other team members across backend, frontend, product, and UX to deliver seamless features.

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.

Senior backend Engineer - Catalog Management.
We are a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io. Artlist is looking for a Senior backend Engineer to join our Catalog Management team This team owns core domain areas of the product, including artist management, catalog management, and content-driven workflows that power the application end to end. In this role, youll build backend systems that directly support our creators and internal stakeholders. Youll work closely with multiple departments across the company- including Label, Content, A&R, and Product - helping translate real-world creative and operational needs into scalable, reliable software. Wake Up for This: Build product-driven backend systems: Design, develop, and maintain backend services that power artist management, catalog workflows, and content-centric features across the platform. Own end-to-end features: Take responsibility for features from backend through API - collaborating closely with frontend engineers and product partners. Collaborate cross-functionally: Work closely with Product, Design, Label, Content, and A&R teams to understand domain needs and deliver solutions that scale with the business. Engineer for scale and reliability: Build and maintain systems that handle large catalogs, complex metadata, and high-traffic production workloads. Lead by example: Mentor other engineers, participate in technical decision-making, and help raise the bar for code quality, maintainability, and best practices. Create real impact: Your work will directly influence how creators discover content, how artists are managed, and how we operates internally at scale.

Required AI Backend Engineer
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
As the AI Backend engineer, you will join a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll utilize technical skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Design, develop, and maintain backend services for AI agents and tool integrations using latest technologies
Build scalable APIs and microservices that interface with LLMs and AI frameworks
Implement agent orchestration systems, tool calling mechanisms, and workflow engines
Optimize performance and reliability of AI-powered applications at scale
Develop data pipelines for training, evaluation, and monitoring of AI systems
Integrate with various LLM providers (OpenAI, Anthropic, etc.) and manage API interactions.

As a Senior Backend Engineer in our Copilot team, 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:
What you'll be doing:
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 talented senior Backend Engineer to join our team to help design, develop, and maintain the backend infrastructure of our emerging and growing client-side security product. As a Backend Developer, you will be responsible for creating micro-services that protect against client-side attacks, always evolve the system according to the latest security trends and compliance, and ensuring the system is highly scalable.

What you'll do

How Youll Make an Impact -

Architect for Scale: Lead the design and implementation of distributed systems engineered to process hundreds of thousands of requests per second while maintaining strict latency targets within tens of milliseconds.

Own the Lifecycle: Take full accountability for the entire software development lifecycle-from initial architectural design and coding to rollout, observability, and long-term system health.

Collaborate across Functions: Partner closely with product and engineering teams to transform ambitious product goals into high-performance technical reality.

Our Pragmatic Tech Stack -
We use a suite of tools specifically chosen to handle our unique scale and performance requirements:

Core Backend: Go

Messaging: Kafka, Redis Pub/Sub, GCP Pub/Sub.

Data: MongoDB, Postgres, Redis, BigQuery.

Infrastructure & Orchestration: Kubernetes, ArgoCD, Pulumi, Crossplane.

CI/CD: GitHub Actions, Jenkins.

Cloud Platforms: Multi-cloud environment (GCP, AWS, Azure).