Michael Pham
@michaelpham3
Senior software engineer delivering scalable, secure cloud platforms and high-impact integrations.
What I'm looking for
I am a Senior Software Engineer with 10+ years building scalable, secure, and compliant cloud platforms across healthcare, e-commerce, and enterprise domains. I design low-latency APIs, distributed microservices, and petabyte-scale data pipelines that improved performance up to 20× and enabled seamless cross-region migrations.
I contribute to developer experience through SDKs, documentation, and mentoring, reducing onboarding time by 30%, and partner with ISVs and healthcare providers to ensure interoperability and regulatory compliance. I practice Agile delivery, CI/CD/IaC best practices, and continuously drive high-impact solutions as an integral team member.
Experience
Work history, roles, and key accomplishments
Engineered low-latency medical imaging APIs and petabyte-scale ingestion pipelines that achieved up to 20× throughput improvements and enabled sub-second retrieval for AI pipelines while ensuring encryption, auditability, and regulatory compliance.
Software Engineer II
Deliverr
Oct 2019 - Apr 2021 (1 year 6 months)
Developed PCI-DSS-compliant checkout APIs and scaled order pipelines to process tens of thousands of transactions daily with <1s response times, and helped build a real-time fraud detection pipeline to reduce chargebacks.
Software Engineer
Informatica
Jul 2015 - Sep 2019 (4 years 2 months)
Built Node.js microservices and migrated ETL pipelines to Snowflake/BigQuery, improving data latency by ~25% and enhancing observability with dashboards and alerting to reduce SLA violations.
Education
Degrees, certifications, and relevant coursework
University of Texas at Austin
Bachelor of Science, Computer Science
2011 - 2015
Bachelor of Science in Computer Science from the University of Texas at Austin completed between August 2011 and May 2015.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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