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We are seeking a Senior 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.
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.

Required Manager, Site Reliability Engineering
Location:Tel-Aviv, Israel
Were committed to creating the best experience for business travelers, ensuring that our systems are always reliable, scalable, and efficient. As we continue to grow, were looking for a Site Reliability Engineering (SRE) Manager to join our team in headquarters based out of Tel-Aviv. In this role, you will lead a team of SREs, drive innovation in infrastructure design and automation, and ensure our systems run seamlessly at scale, serving thousands of travelers every day.
What Youll Do
Lead & Mentor the SRE Team: Guide and develop a high-performing team of SREs, fostering a culture of collaboration, reliability, and continuous improvement.
Drive Infrastructure Reliability & Automation: Collaborate with Engineering and Product teams to design and implement scalable, fault-tolerant systems. Leverage IaC tools (e.g., Terraform, CloudFormation) and microservices architectures to automate and improve infrastructure.
Incident Management: Improve incident response processes, reduce MTTR, and proactively mitigate risks. Apply resiliency patterns to ensure systems are fault-tolerant and highly available.
Define & Measure SLOs: Develop service-level objectives (SLOs) and KPIs to track and improve system reliability, using tools like NewRelic or DataDog for observability.
24x7 Production Support: Ensure system availability in a 24x7 environment, applying expertise in AWS (e.g., ECS, Lambda, DynamoDB) and database management for optimal performance.
Optimize CI/CD Pipelines: Automate and streamline deployment workflows using tools like Jenkins or GitHub Actions to ensure faster and more reliable deployments.
Resource Management: Manage team resources, including capacity planning, hiring, and upskilling, to meet evolving business needs.