Backend Engineer
DeepChecks
Software Engineering
Tel Aviv-Yafo, Israel
Posted on Jun 24, 2025
Backend Engineer
Tel Aviv, Israel (On-site) | Software Engineering | Full-Time
About the job
We’re looking for a talented Backend Engineer with plenty of hands-on experience to join our dynamic team, building a state-of-the-art platform for benchmarking, evaluating and monitoring LLM-based applications. You’ll design and implement scalable backend systems to support advanced evaluation workflows, under high-volume, low-latency performance requirements. This role offers a unique opportunity to work on the cutting edge of LLM/LLMOps systems in a fast-paced startup environment.
What you will do:
- Design, develop and deploy distributed backend systems in Python, onto AWS cloud.
- Own features end-to-end: from ideation, architecture design, coding, integration, all the way to deployment and testing.
- Build, maintain and optimize our APIs (REST/SDK) for seamless platform functionality.
- Ensure system reliability through testing and CI/CD pipeline contributions.
- Collaborate with Product and Machine Learning Engineers to deliver innovative LLM evaluation tools.
You’re a great match if you have:
- At least 5 years of backend development experience.
- Proficiency in Python (or other high-level programming language, such as Java, Golang) with amazing coding skills.
- Experience with relational databases (e.g. PostgreSQL) and complex data migrations and message queue technologies (e.g. SQS, RabbitMQ, Kafka)
- Familiarity with AWS ecosystem (e.g. EKS, Queues, Redis, RDS, IAM) – or other cloud provider.
- Knowledge of REST/SDK API best practices development.
- Ability to own features end-to-end (from design to deployment).
- Product-driven mindset focused on scalable solutions.
- Collaborative, adaptable mindset for a fast-moving startup (prior startup experience is valuable).
Nice to have:
- Advantage to Frontend/Fullstack experience, in particular with React and TypeScript.
- Familiarity with JS fundamentals, component-based architecture and modern frontend workflows.
- Proficiency in DevOps technologies (Docker, Kubernetes, Terraform, Monitoring and Observability Tools).
- Experience with LLM-based systems or MLOps.