Software Engineer, Python Django

Worldwide | Dec. 29, 2022

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Company: AssemblyAI

Salary: $125,000 - $200,000

Type: Remote

Employment: Full-time

Description:

We're looking for a senior backend engineer with strong software and cloud engineering skills. You'll help us build highly scalable developer-centric APIs and backend systems powered by state-of-the-art ML models.
 Some of your responsibilities will include:
Build new API features and endpoints
Build automated test suites and CI/CD pipelines
Build highly scalable event-driven and realtime systems
Instrument systems with metrics, tracing, and logging
Refactor applications to eliminate tech debt
Troubleshoot production issues
You'll love this job if you.... 
Enjoy solving complex technical problems, even when there is no perfect solution.
Enjoy being in a fast-paced, customer-facing role.
Thrive in small, cross-functional teams. We like to wear many hats here!
You're excited to tackle big technical challenges like building highly scalable architectures and achieving zero-downtime deploys.
Requirements
6/5+ years of professional experience building backend applications using any popular language such as Python, Java, C#, JavaScript, Go, C/C++
4+ years of experience working with Python
4+ working with Python backend frameworks like Django, Flask, or Tornado
4+ years of working with SQL and NoSQL databases
3+ years of production support experience
3+ years working with common AWS services
3+ years developing REST APIs
Experience migrating systems to meet increasing traffic/scale
Startup or FAANG-type experience - Has worked at a startup or high growth company
Deep AWS knowledge - Has many years of experience solutioning within AWS
Strong Python coding abilities - Can pass difficult programming challenges in a relatively short period of time. Can speak clearly about their thinking throughout these challenges. Can speak to O-notation of algorithms. Has excellent knowledge of common python idioms and libraries.
High scalability experience - Has been a tech leader on scaling systems to hundreds of millions of requests/events per day. Has experience with hyper-observability, scaling algorithms, and using production data to drive system changes

Remote Locations: North America, LATAM, Europe
(Must be located within 6 hours of EST time zone)

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