Mploy - דרושים
Mploy - דרושים

דרושים Software Engineer בתל אביב

 \ 

Software Engineer

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02/01/2026

 תל אביב

 Deepchecks

We’re looking for a superstar Software 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.

Required experience:

  • At least 3 years of backend development experience.
  • Product-driven mindset focused on scalable solutions.
  • Collaborative, adaptable mindset for a fast-moving startup (prior startup experience is valuable).
  • Ability to own features end-to-end (from design to deployment).
  • 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.

Nice to have:

  • 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.

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