Amazon
Software Development Engineer, Special Projects
$144K–$194K
Seattle, WA · Full-time · Posted Sep 16, 2026
- Experience
- 5+ years of full software development life cycle experience; 5+ years of programming experience; 2+ years of AWS technologies experience. Preferred: 2+ years of scientific software experience.
- Education
- Bachelor's degree or equivalent
About the job
Builds and scales machine-learning model execution infrastructure and database systems for life-sciences products that deliver scientific results to customers.
What you'll do
- Design and build scalable ML inference pipelines with scientists and engineers.
- Architect and improve databases for workflow metadata and outputs, and improve system performance and reliability.
- Contribute across the software development lifecycle, including implementation, testing, deployment, operations, code reviews, mentoring, and documentation.
What they ask for
- Bachelor's degree or equivalent.
- 5+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
- 5+ years of programming experience with at least one modern language such as C++, Java, Scala or Python.
- 2+ years of experience in AWS technologies, such as Batch, S3, Lambda, CloudFormation, and SQS.
Nice to have
- MS in Computer Science, Bioinformatics, Genomics or a related field.
- 2+ years of experience with scientific software such as bioinformatics tools, high performance computing or data visualization libraries (Plotly, Altair, D3).
Pay
143,700.00 - 194,400.00 USD annually (base salary)
Tools
C++, Java, Scala, Python, AWS, Batch, S3, Lambda
AI focus
Design and scale ML inference pipelines and model execution infrastructure for scientific models in the life sciences.
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