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SAAS Healthcare start up - SWEs, Platform and Data
About Us
At Health Innovation Labs, we are revolutionising healthcare through cutting-edge technology, delivering innovative solutions that transform how care is accessed, delivered, and managed. As a dynamic and fast-paced organisation, we thrive at the intersection of healthcare and technology, empowering providers, patients, and organisations to achieve better outcomes through smarter, more efficient systems.
Our team of forward-thinkers is dedicated to solving complex challenges with creativity and precision. Whether it’s streamlining workflows, enabling real-time data insights, or enhancing patient engagement, Health Innovation Labs is at the forefront of reshaping the future of healthcare.
Rooted in innovation and driven by impact, we embrace agility and collaboration as our core strengths. In a rapidly evolving industry, we remain steadfast in our mission: to advance healthcare systems for a healthier, more connected world. Join us as we push boundaries and reimagine what’s possible in healthcare technology.
Position Summary:
As a Senior Software Engineer in the Data Platform team, you'll focus on building and optimising data platforms, improving developer tooling, and implementing robust security measures. This role requires a broad skill set to navigate complex projects, employing problem-solving skills, data-driven decision-making, and a commitment to quality in a dynamic, deadline-driven environment.
Working at the intersection of data engineering, software development, and security, the ideal candidate will have a solid foundation in software engineering, with an interest or background in data platform technologies and a keen eye for security challenges. This role will play a pivotal part in driving our Kafka tooling initiatives, developing secure data infrastructure, and contributing to MLOps and ML API strategies as our needs evolve in the future. Your contributions will directly impact the scalability and robustness of our data operations, supporting a wide range of initiatives from analytics to machine learning.
Key Responsibilities:
* Develop high-quality software and platform solutions that meet project requirements, utilising a variety of programming languages and technologies.
* Contribute to the design, development, testing, and deployment phases of the projects.
* Proactively identify and address technical challenges, ensuring robust and scalable solutions.
* Stay abreast of emerging technologies and industry best practices to continuously enhance technical proficiency.
* Development and optimization of Kafka tooling for improved developer experiences.
* Implement and maintain security measures across our data platform and infrastructure.
* Collaborate closely with engineering, analytics and data science teams to support data-driven decision-making.
* Evaluate and implement emerging technologies and best practices to enhance the data platform's capabilities and performance.
* Oversee the data acquisition and integration processes, ensuring the quality and reliability of data, and enabling advanced analytics and machine learning capabilities.
Qualifications, Skills and Experience:
* Strong foundation in software engineering, with experience in data platform technologies and a focus on building scalable and secure applications.
* Experience with event-driven architecture and systems, including proficiency in designing, implementing, and optimising event-based solutions. Familiarity with Kafka or similar event streaming platforms is essential.
* Expertise in SQL databases such as MySQL.
* Solid understanding of cloud ecosystems such as AWS Services ECS, Fargate, SES, SQS, and S3.
* Solid experience working with the overall SDLC process for data products - including but not limited to building Docker images, provisioning infrastructure, CI/CD and clean code best practices.
* Understanding of big data technologies, data warehousing on cloud platforms and ELT processes.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Technology, Information and Internet
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