Backend Developer

Description

We are seeking a Hands-On Software Engineer to join our expanding team and lead the design, development, and deployment of cutting-edge generative AI solutions built on our modern technology stack. This role is ideal for a backend developer with a passion for AI and cloud-native solutions who thrives in a hands-on, collaborative environment. You’ll be at the forefront of developing innovative, scalable, and impactful AI-driven products in partnership with a dynamic, highly skilled team.

We are GigaSpaces, a global pioneer of in-memory computing, building one of the market’s first Digital Integration Hubs (DIH) —an out-of-the-box solution that simplifies digital transformation, and a pioneering eRAG (Enterprise Retrieval Augmented Generation), a technology that aims to enable LLMs to query structured enterprise data with human-level accuracy.

With offices in the US, Europe and Israel, GigaSpaces partners with IBM, Capgemini and Cognizant, and serves customers such as Morgan Stanley, Bank of America, CSX, Goldman Sachs, Société Générale, Credit Agricole, American Airlines, Avanza Bank, CLSA, Stellantis, and UBS.

This position is full time, hybrid and located in our main office in Herzliya.

Responsibilities:

You'll play a key role in building an exciting Generative AI innovation project.

Design, develop, and deploy state-of-the-art Agentic AI solutions with a focus on scalability, performance, and reliability.
Collaborate with cross-functional teams, including data scientists, DevOps, and front-end developers, to build robust, end-to-end Agentic AI-driven systems.
Work on complex Agentic backend systems using modern AI architecture based on n8n, OpenAI builder and LangGraph.
Play a key role in optimizing our backend infrastructure for performance and scalability while contributing to architectural decisions and best practices.
Utilize monitoring and logging tools such as Grafana, Groundcover and OpenTelemetry collector to maintain system health, security, and observability.
Mentor and collaborate with other team members, fostering a culture of knowledge sharing, innovation, and continuous improvement.
Participate in code reviews, follow best practices for code quality, documentation, and security, and maintain a strong sense of ownership for assigned tasks.
Requirements

Must-Have Requirements:

4 years of experience in software engineering, with a strong background in Python and experience with microservices architecture
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Experience with Agentic AI frameworks like: LangGraph, n8n, OpenAI builder or similar
Proficient in SQL and NoSQL databases, with knowledge of server-client architectures.
Strong expertise in Kubernetes environments (e.g., K8s, OpenShift, EKS) and microservices architecture, including designing, deploying, and managing complex containerized applications at scale.
Familiarity with Agile development methodologies and comfort working in a fast-paced, iterative environment.
Strong initiative with a sense of ownership to fix issues and optimize systems across the platform.
Effective communication and collaboration skills, with a proactive, solutions-driven approach to challenges.
Mentor and collaborate with other team members, fostering a culture of knowledge sharing, innovation, and continuous improvement.

Nice-to-Have Skills:

Experience deploying and managing applications in cloud-native environments (AWS/Azure).
Familiarity with LLMs, embedding models, and popular LLM hubs like Hugging Face.
Experience with observability and visualization tools, including tools such as Grafana, Loki, OTEL or similar
Knowledge of data streaming technologies (e.g., Kafka) and their role in high-performance data pipelines.