דרושים » ניהול ביניים » Senior Backend Engineer

We are seeking a skilled Senior Backend Engineer to join our team and help us build Cognition, a multi-agent AI platform. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.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 looking for a motivated and experienced Senior Developer to join our Cloud and K8s Group. The successful candidate will possess a strong technical background in Kubernetes and different cloud environments, and will excel in developing advanced k8s-related features. Proficiency in NodeJS (Typescript), MongoDB, Kubernetes, Docker, and data queues is essential for this role, as you will be instrumental in refining our cloud CTEM offering.
Key Responsibilities:
Design and implement advanced k8s-related features to enhance our existing offerings.
Streamline deployment processes and ensure system reliability by demonstrating expertise in Kubernetes and Docker.
Develop modular and scalable solutions while leveraging microservices and jobs architecture.
Utilize advanced data processing techniques with tools such as Spark , Flink, written in Scala to improve system performance.
Contribute to the enhancement of system reliability at scale through hands-on experience with large-scale applications.
Develop attack techniques for K8S, cloud and AI technologies.

we are looking for a talented Backend Developer.
Join the VRM team to build high-performance vulnerability management capabilities that translate large-scale security data and research findings into prioritized, actionable remediation paths. Youll work closely with researchers, product and operations teams to drive measurable reductions in customer risk.
This role provides the opportunity to lead end-to-end design & implementation of advanced server-side features using a wide range of technologies: Apache Spark, Apache Airflow, Scala, k8s, Ts, Python, Redis, Kafka, and Dockers.
If you are up for the challenge come and join us!
Key Responsibilities:
Streamline deployment processes and ensure system reliability by demonstrating expertise in Kubernetes and Docker.
Develop modular and scalable solutions while leveraging microservices and jobs architecture.
Utilize advanced data processing with tools such as Spark , Flink, written in Scala to improve system performance.
Contribute to the enhancement of system reliability at scale through hands-on experience with large-scale applications.

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 Backend Engineer to join our Data Engineering team and build backend components and data-focused infrastructure for large-scale data processing.
You will design and maintain core microservices and data pipelines that power our products and provide reliable data sources to teams across the company.
Your work will focus on customer-facing features that depend on complex data assets, with an emphasis on reliability, clear SLAs, observability, and flexibility.

What you will do:
Design and implement infrastructure for high-volume data processing.
Continuously improve performance, cost, and reliability at scale.
Collaborate with frontend teams on customer-facing features and applications.
Work with stakeholders across the company to ensure data processes meet their requirements.
Maintain high engineering standards: testing, observability, clean code, and solid CI/CD practices.

We're looking for a Senior Backend Engineer to join our Platform team in Tel Aviv. You'll build the infrastructure that powers our entire engineering organization, accelerating how our teams ship features that millions of customers rely on. This role is perfect for someone who loves solving complex distributed systems challenges and creating tools that make other developers' lives better.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Build core platform services that support all our development teams across web, mobile, and backend systems
Design and maintain robust APIs for distributed microservices architecture using TypeScript, with Rust experience as a major plus
Collaborate with staff engineers and tech leads to establish platform standards, patterns, and best practices across the engineering organization
Own service stability and communication between systems, implementing both synchronous and asynchronous patterns at scale
Drive developer efficiency initiatives by creating tools, frameworks, and infrastructure that eliminate friction for product teams
Work hands-on with AWS infrastructure including Kafka, RabbitMQ, EKS, SQS, Lambda, and infrastructure-as-code tools like Pulumi
Partner closely with DevOps teams to ensure seamless deployment, monitoring, and scaling of platform services.

Required xEngineer (ai-native software engineer)
makes it possible for anyone to succeed online. since 2006, weve grown to around 5,500 employees in 22 countries, launched over 40 products, and serve over 243 million users and their visitors worldwide. here, we push you to innovate, evolve in non-traditional ways, and collaborate. we operate in small teams that work closely together at a high level.
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're proud to be an equal opportunity employer. the company was built around the idea that everyone has the right to be successful, online. this same vision defines us as an employer: creating a work environment where everyone is welcome, and anyone has the right to succeed.
as an xEngineer, youll combine deep technical expertise with system -level thinking and product ownership, applying ai across the development lifecycle to build impactful systems, make thoughtful architectural decisions, and drive technical excellence from idea to production. in your day-to-day, you will:
design and own end-to-end systems and features that serve millions of users, taking responsibility across stack boundaries - from product flows and User Experience to apis, data models, and production systems
apply ai-powered tools and workflows across planning, design, implementation, testing, debugging, and refactoring
work with modern technologies and platforms (e.g., typescript, React, Node.js, JAVA, cloud, and ci/cd), continuously evolving your toolkit with ai-powered tools
lead architectural thinking by making thoughtful trade-offs around scalability, reliability, security, performance, and maintainability
collaborate closely with product managers, designers, and engineers to shape solutions while ensuring production quality, observability, and long-term system health
at the company, 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 engineering at the company - a team of ai-native xengineers with deep expertise in frontend, backend, or mobile, who use ai support to take ownership over projects end-to-end. we work in a fast-paced, dynamic development environment with autonomous teams that never compromise high quality standards. as ai increasingly generates production code, we dedicate more and more of our time developing the skills we believe are critical for today and tomorrow: system design, architecture, scalability, reliability, and security.

we are looking for a Senior Backend Engineer to join our Catalog Management team.
This team owns core domain areas of the company product, including artist management, catalog management, and content-driven workflows that power the company 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 company 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 our company operates internally at scale.

We are looking for a talented, passionate and experienced Senior Backend Software Engineer to join our team. You will help design and build the backend and data pipeline behind leading XDR platform, operating at large scale and under real-world production constraints. Were looking for someone with strong distributed systems fundamentals, high coding standards, and a collaborative, hands-on approach.

Responsibilities:

Lead the design and implementation of key backend components in flagship product
Build and operate a high-throughput data pipeline handling terabytes of data per day, with a focus on performance, reliability, and cost
Drive engineering best practices (testing, observability, CI/CD, code review, technical design) and contribute to product/technical innovation
Mentor engineers and help grow a strong engineering culture; learn and collaborate across teams

We are seeking We are seeking an experienced Senior Generative AI Engineer (LLMs & Agents) to join our AI squad at KPMG. This role blends deep hands-on engineering with architectural responsibility and client-facing advisory work.
You will design, build, and operate production-grade LLM and multi-agent systems, working on both greenfield initiatives and the evolution of existing GenAI platforms.
You will play a key role in shaping technical direction, best practices, and delivery standards across the GenAI practice.
Key Responsibilities:
GenAI Development & Implementation
Build end-to-end GenAI solutions from POC through production deployment
Design and implement backend microservices architectures for GenAI applications using Pytho
Design, implement, and maintain production-grade Python services with a focus on code quality, performance, and reliability
Architect and develop multi-agent systems, orchestration layers, and autonomous workflows
Integrate and optimize LLMs and GenAI APIs across complex systems
Evaluate and improve system performance, scalability, reliability, and cost efficiency
Client Engagement & Advisory
Lead technical discussions with clients and translate business needs into technical architectures
Present GenAI solutions, design decisions, and trade-offs to technical and non-technical stakeholders
Provide strategic technical guidance on GenAI adoption and system design
Cloud & Platform Ownership
Deploy and manage GenAI systems across GCP, Azure, and AWS
Leverage cloud-native AI services (Vertex AI, Azure OpenAI, SageMaker, etc.)
Own production environments, monitoring, and operational excellence
Continuous Learning & Practice Development
Evaluate emerging GenAI models, frameworks, and techniques
Define and refine best practices for GenAI system development and deployment
Contribute to internal accelerators, methodologies, and knowledge sharing