Responsibilities

Build cloud-based, event-driven software systems with high availability, scalability, and resilience.
Develop infrastructure for data pipelines, storage, and APIs serving internal and external stakeholders.
Collaborate with data scientists to build machine learning pipelines.
Contribute across software design, architecture, coding, functional and performance testing, documentation, and design verification.
Automate manual processes and optimize data delivery and software infrastructure for scalability, maintainability, and cost efficiency.
Participate in code reviews and promote software quality, testing, and development and deployment best practices.
Participate in the production systems on-call rotation when required.
Protect the confidentiality and security of client data.

Requirements

Strong programming skills in Kotlin, Java, and Golang.
Experience with message brokers, queues, and buses such as Kafka, Azure Service Bus, and ZeroMQ.
Experience with relational databases such as MySQL and NoSQL databases such as Cassandra.
Familiarity with modern software testing tools and equipment.
Ability to learn new tools and technologies and work effectively in a fast-paced environment with multiple simultaneous priorities.
Strong frontend development exposure.
Bachelor’s degree in a technical discipline with 5–8 years of related experience, or a master’s degree with 2–5 years of equivalent experience, or a PhD with 0–2 years of experience.

Comprehensive benefits program.
Global growth opportunities.
Career development through in-house learning programs and qualified tuition reimbursement.
Opportunity to work on life-changing continuous glucose monitoring technology at an innovative organization.