Terakeet
Enterprise marketing partner for Fortune 500 brands seeking meaningful connections and growth.
Senior Backend Software Engineer, Python
Location
Arizona + 5 moreAll locations: Arizona, Illinois, New York, North Carolina, Minnesota, Texas
Posted
28 days ago
Salary
$127K - $192K / year
8 yrs expEnglishAWSCloudCypressDjangoDockerGraph QLJavaPythonRDBMSRuby
Job Description
• Designing, building, and maintaining backend services and APIs using Python and related frameworks.
• Ensuring database architecture, data flow, and system performance scale effectively with growing demand.
• Applying strong database fundamentals to real-world systems, including indexing strategies, partitioning approaches, and concurrency considerations for large and complex datasets.
• Advocating for best practices in code quality, system design, and documentation, including participation in code reviews and architectural discussions.
• Collaborating with the team to standardize processes and improve long-term maintainability of backend systems.
• Evaluating and responsibly leveraging AI-assisted development tools while adhering to sound engineering principles (e.g., SOLID, single-responsibility design).
• Contributing to a culture of testing, reliability, and continuous improvement.
Job Requirements
- 8–10 years of professional software development experience.
- Expert-level proficiency in one or more enterprise-level backend languages such as Python, Ruby, Java, or C#, with a strong preference for Python and Django.
- Deep, practical knowledge of relational databases (RDBMS), independent of a specific engine.
- Ability to reason about and design systems that handle millions of rows and complex data relationships.
- A strong architectural mindset with demonstrated experience building maintainable, well-documented systems.
- Experience building and optimizing REST and/or GraphQL APIs in high-concurrency, data-intensive environments.
- Familiarity with containerized and cloud-native infrastructure, including Docker and managed database services such as AWS RDS, Snowflake, or equivalent platforms.
- A consistent practice of writing, maintaining, and documenting automated tests, including unit and integration testing (e.g., Pytest, Vitest, Cypress).