Senior Software Engineer

Freenome; City of Brisbane; On-site; AUD 120,000 - 150,000; Full time

Job summary

Freenome is looking for a Senior Software Engineer II to be part of our innovative Engineering team in Brisbane, Australia. This role involves designing and maintaining scalable backend services crucial for early cancer detection.

The ideal candidate will have extensive experience in backend engineering, cloud platforms, and mentoring as well as a passion for improving software development practices. Join us to contribute to our mission of transforming cancer detection.

Qualifications

• Minimum 8 years of experience in software development with a focus on backend systems.
• Experience in FDA regulated environments is preferred.
• Familiarity with statistical and machine learning methods.

Responsibilities

• Design and maintain scalable backend services for cancer detection.
• Mentor junior engineers and participate in code reviews.
• Implement engineering best practices for system reliability.

Skills

Cloud platforms (AWS, Azure, Google Cloud)

Communication skills

Containerization (Docker, Kubernetes)

Python programming

Scalable backend systems design

ETL or data pipelining

Education

Bachelor of Science in Computer Science or related field

Tools

Flyte

Airflow

Job description

Responsibilities

• At Freenome, we are seeking a Senior Software Engineer II to join our innovative Engineering team.
• The ideal candidate is an experienced backend engineer with a strong background in developing scalable and reliable software solutions.
• You will play a crucial role in designing, building, and maintaining backend services that support our mission to detect cancer early.
• This position requires a collaborative mindset, as you will work closely with an interdisciplinary team of engineers, scientists, and product managers to deliver high-quality software solutions.
• You are passionate about software development best practices and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.
• The role reports to our engineering management team.
• Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services that power both our internal and external systems.
• Collaborate with interdisciplinary teams, including scientists, product managers, and other engineers, to solve complex problems and deliver high-quality software solutions.
• Mentor and guide junior engineers, fostering their growth and enhancing the team’s technical expertise.
• Lead code and design reviews, champion engineering best practices and promote a culture of quality and collaboration.
• Contribute to the development of data infrastructure for machine learning applications, ensuring efficient data processing and integration.
• Drive the implementation of engineering hygiene practices, ensuring the reliability and maintainability of our systems.
• Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality.

Qualifications

• Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform.
• Excellent written and verbal communication skills, with a mindful and transparent approach to collaboration.
• Bachelor of Science in Computer Science, Engineering, or related field or equivalent training, fellowship, and/or work experience.
• Strong experience with containerization and orchestration technologies such as Docker and Kubernetes.
• At least 8 years of experience as part of a software development team successfully shipping software products, including leading projects from end-to-end and mentoring others.
• Proficiency in Python and experience with backend development in a team production environment.
• Proven experience in designing and implementing scalable backend systems, with a focus on reliability and performance.
• Experience working in an FDA regulated environment, with a strong understanding of compliance requirements and best practices.
• Domain-specific experience in computational biology, genomics, bioinformatics, or a related field.
• Expertise in developing ETL or data pipelines that run at scale, utilizing common workflow management systems like Flyte, Airflow, or similar.
• Understanding of statistical and machine learning methods, with practical experience in applying them to real-world problems.