Aidoc is recruiting a Senior Backend Engineer for the AI department in Tel Aviv. Join our team!

Aidoc is a pioneering force in clinical AI. Our clinical AI imaging solutions help physicians quickly identify and diagnose urgent cases and improve patient outcomes. We analyze and aggregate medical data to enable care teams to work seamlessly with a continued focus on the patient.

Our solutions are used in more than 1000 hospitals, including leading health systems in the US. Funded by some of the industry’s leading VC’s, Aidoc has raised more than $250 million to date, and was chosen as one of TIME’s 50 most genius companies.

The AI software team is part of the AI Engineering group that is responsible for developing the different AI solutions in Aidoc.

The Senior AI Software Engineer designs and develops the infrastructure required within the entire lifecycle of an AI algorithm. It is a critical role for the company’s growth and velocity. You will work in a unique professional culture in which software engineering is a core part of making A.I. excellent.

The Data-Nexus team, a central part of the R&D department at Aidoc, is seeking a versatile Senior Backend Engineer to take part in leading Aidoc’s data vision using a lake-house architecture, and building high-scale solutions for handling and consuming the different data assets of the company.

In this role, building on the foundation of classic backend development, you’ll go beyond traditional boundaries, taking on full product responsibilities—from conceptualization and architecture to design, maintenance, and continuous development. You will collaborate closely with stakeholders across the company to ensure our solutions effectively meet their needs.

The ideal candidate will have strong backend development capabilities, with a deep understanding of designing and managing AWS cloud infrastructure, along with strong knowledge of different data architectures, methods and tools.

• Design and development of scalable, reliable backend systems and data infrastructure for innovative AI-driven applications.
• Collaborate with cross-functional teams, including data scientists, data analysts, product managers, regulatory teams, and other developers, to drive the development of new tools and features that support Aidoc's mission.
• Write and manage Infrastructure as Code (IaC) using Terraform and AWS CDK, ensuring robust and efficient cloud infrastructure.
• Take ownership of the full development lifecycle, including requirement gathering, design, implementation, testing, deployment, and ongoing maintenance.
• Engage with stakeholders to understand their needs and translate them into technical requirements and product features.
• Maintain and improve existing backend systems, ensuring they are optimized for performance, security, and cost-efficiency.
• Explore and adopt new technologies and frameworks that can enhance the capabilities of the Data-Nexus team.
• Develop and maintain high-quality, scalable, and efficient code while fostering a culture of continuous improvement through regular retrospectives and knowledge sharing.

• Senior-level experience in backend development, particularly in Python, with a strong focus on cloud data infrastructure and scalable systems.
• Knowledge of modern data warehouses or data lake solutions, like Databricks / Snowflake / AWS Athena / AWS Redshift.
• Experience with queues and data streaming designs and technologies, like AWS SQS, AWS Kinesis / Kafka, Spark.
• Experience with a broad range of AWS services (S3, SQS, SNS, EC2, ECS, EMR, Lambda, EventBridge, RDS, EFS, and EKS).
• Strong understanding of distributed systems, microservices architecture, and containerization.
• Proficiency in Infrastructure as Code (IaC) tools, including Terraform and AWS CDK.
• Ability to take full product ownership from ideation to delivery, ensuring alignment with business objectives.
• Excellent communication skills with the ability to work effectively across teams and a customer-oriented mindset.
• Familiarity with agile development methodologies and CI/CD pipelines.
• BSc/MSc in Computer Science, Engineering, or a related field.
• Professional proficiency in English is essential.

Advantages:

• Experience with Databricks platform.
• Knowledge of the medical tech world, including EHR data and industry regulations.
• Understanding of medical knowledge, particularly in radiology.