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.

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).

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonDjangoRubyJavaC#relational databasesREST APIsGraphQL APIsautomated testingcontainerization

Soft Skills

code qualitysystem designdocumentationcollaborationprocess standardizationtesting culturereliabilitycontinuous improvementarchitectural mindsetproblem-solving