Daniel Song
@danielsong
Senior software engineer specializing in scalable full-stack systems, cloud architectures, and performance-critical backend services.
What I'm looking for
I am a hands-on senior software engineer focused on building highly scalable full-stack systems and performance-critical backend services using TypeScript, Node.js, Python, and cloud platforms such as Azure and AWS. I design modular cloud architectures, event-driven workflows, and resilient data pipelines that improve throughput, latency, and reliability across global environments.
I have delivered production-grade distributed platforms at large enterprises and startups, including telemetry ingestion, async orchestration, schema-driven validation, and observability-led debugging. My work has reduced API breakage, stabilized spikes with durable retry patterns, and produced measurable improvements in p99 and median latency through caching, batching, and worker-thread offloading.
I prioritize secure, test-first delivery: I implement contract testing, multi-environment integration matrices, CI/CD automation, and hardened auth flows to maintain compliance and minimize incidents. I also build intuitive front-end experiences with React/Next.js and bridge client-server schema evolution to keep UIs consistent during rapid change.
Experience
Work history, roles, and key accomplishments
Built and optimized high-throughput Node.js and Python backend services for Azure Portal telemetry and resource operations, sustaining sub-100ms median latency and improving API stability via service decomposition and contract-driven testing.
Software Engineer
Epic
Jul 2020 - May 2022 (1 year 10 months)
Developed a HIPAA-compliant medical integration platform with Node.js, Python, Kafka and relational databases, increasing interoperability and throughput (3.5×) while reducing cross-system fragmentation by 40%.
Software Development Intern
Cartoni Lab
Jan 2018 - May 2020 (2 years 4 months)
Contributed to low-latency trading and fraud-detection pipelines using Node.js and distributed tooling, improving Spark job runtimes by 40% and reducing compute time for simulations by 60%.
Education
Degrees, certifications, and relevant coursework
Duke University
Bachelor's degree, Information Technology
2016 - 2020
Completed a Bachelor's degree in Information Technology focusing on practical software engineering and distributed systems from September 2016 to July 2020.
Tech stack
Software and tools used professionally
Apache Spark
Microsoft Azure
GitHub
Kubernetes
Docker Compose
Jenkins
GitHub Actions
Dask
MySQL
PostgreSQL
MongoDB
Gmail
Node.js
Django
Next.js
NestJS
Material-UI
Redis
Terraform
Azure DevOps
Babel
SuperTest
React Query
Webpack
JSON
Gatling
Azure Machine Learning
Kafka
Azure Service Bus
FastAPI
Grafana
Prometheus
OpenTelemetry
Azure Monitor
Windows
Azure Active Directory
Azure Database for PostgreSQL
GraphQL
Firebase
gRPC
AWS Lambda
Azure Functions
Kafka Streams
pytest
OAuth2
Toolkit
Service Layers
Plane
Monte Carlo
Cursor
Bicep
100ms
Dynamic
Middleware
Durable
Task
Availability
Location
Authorized to work in
Job categories
Skills
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