The Data-Nexus team, a central part of the R&D department, is seeking a versatile Senior Backend Engineer to take part in leading 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, youll go beyond traditional boundaries, taking on full product responsibilitiesfrom 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.
Responsibilities:
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 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.
Requirements: 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.
This position is open to all candidates.