Job description template

Python Developer

We’re hiring a mid-level Python Developer to design, build, and maintain reliable backend services. You’ll work independently on well-defined deliverables and collaborate with engineers and stakeholders to deliver production-ready software.

Responsibilities

Develop and maintain backend APIs and services using Python
Write clean, testable code and implement automated tests to support reliable releases
Design and evolve data models and persistence layers to meet product and performance needs
Improve application performance, reliability, and observability through monitoring and diagnostics
Review teammates’ code, propose pragmatic improvements, and help maintain engineering standards
Collaborate with product and engineering to translate requirements into technical designs
Troubleshoot production issues and drive fixes with clear root-cause analysis

Must-have qualifications

Production Python experience building backend services and APIs
Strong understanding of Python fundamentals including typing, packaging, and design patterns
Experience building and maintaining automated tests for backend code
Hands-on experience with SQL and relational databases (schema design and query optimization)
Working knowledge of RESTful API design and service integration
Ability to diagnose and remediate production issues using logs and monitoring

Nice to have

Experience with cloud services and deploying Python applications (e.g., containers or managed runtimes)
Experience with CI/CD pipelines and release automation for backend services
Familiarity with asynchronous programming or message-driven architectures

What success looks like in 12 months

Ship backend features that meet defined requirements
Improve reliability through reduced incident impact
Increase quality and test coverage on touched areas
Strengthen observability for faster troubleshooting
Maintain performant data access patterns

Logistics

Full-time (40 hours a week), remote from Latin America.
Working hours overlap with US business hours.

About the company

[About your company: what you build, your stage and team size]

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Interview scorecard

Score every candidate against the same bar

Deliver reliable, maintainable Python backend services that meet product needs and improve system quality over time.

Outcomes to measure

What this hire should deliver in the first year. Replace [N] with your own targets.

Ship backend features that meet defined requirements. Measure: ship [N] backend features/epics that meet acceptance criteria
Improve reliability through reduced incident impact. Measure: reduce production incident frequency and/or impact by [X]%
Increase quality and test coverage on touched areas. Measure: raise automated test coverage (or test pass reliability) by [X]% on new/modified components
Strengthen observability for faster troubleshooting. Measure: instrument [N] services/components with actionable logs/metrics and achieve [X]% improvement in mean time to diagnose
Maintain performant data access patterns. Measure: improve key query latency and/or database throughput by [X]% for prioritized endpoints

Competencies and weights

What to evaluate, how much it counts and what a strong answer looks like.

Python backend engineering · 26%
The role centers on independent development of backend services and APIs in Python. Evaluated in Round 1.

Weak: Writes Python code that is hard to extend or lacks clear structure for common service needs.
Meets the bar: Builds backend components with clear interfaces and maintainable structure.
Strong: Designs and implements backend services with reusable patterns, strong abstractions, and consistent code quality.

Testing discipline · 19%
Automated tests are required to support reliable releases and safe iteration. Evaluated in Round 2.

Weak: Relies primarily on manual testing or adds limited tests after changes.
Meets the bar: Implements unit/integration tests that validate expected behavior and edge cases.
Strong: Builds a pragmatic testing strategy that reduces regressions and accelerates debugging.

Production debugging · 19%
The role must diagnose and remediate production issues using logs and monitoring. Evaluated in Round 3.

Weak: Uses trial-and-error without tying symptoms to logs/metrics; fixes lack demonstrated root cause.
Meets the bar: Identifies likely causes using logs/metrics, validates hypotheses, and applies targeted fixes.
Strong: Leads incident troubleshooting with clear root-cause analysis, prevention steps, and measurable follow-up.

SQL and data modeling · 17%
Backend services depend on correct schemas and efficient data access patterns. Evaluated in Round 1.

Weak: Creates schemas and queries that lead to excessive load or frequent performance issues.
Meets the bar: Designs relational schemas and writes queries with acceptable performance and correctness.
Strong: Optimizes queries and models to meet performance targets while preserving data integrity.

REST API design · 13%
Candidates must design service interfaces that are consistent, predictable, and integrable. Evaluated in Round 2.

Weak: Produces API designs with unclear contracts, inconsistent error handling, or problematic resource modeling.
Meets the bar: Designs RESTful endpoints with clear request/response contracts and sensible status codes.
Strong: Creates robust API contracts with thoughtful pagination/filtering, versioning strategy, and integration safety.

Independent delivery · 6%
Mid-level engineers must execute on well-defined work without needing heavy direction. Evaluated in Round 3.

Weak: Waits for frequent direction or struggles to plan/finish well-scoped tasks.
Meets the bar: Breaks down work into deliverable steps, communicates progress, and completes tasks reliably.
Strong: Proactively clarifies requirements, anticipates risks, and delivers consistently with minimal supervision.

Interview questions

Questions for every interview round

Each round has an owner, a time box and questions that test the competencies above.

Round 1: Backend fundamentals and design
Backend Engineering Lead · 45 min

Describe a Python backend service you built end-to-end. What design choices did you make for maintainability and extensibility?
Walk through a schema or data model you designed. How did you ensure data integrity and how did you validate it in practice?
Tell us about a time you refactored backend code. What triggered the refactor and how did you avoid introducing regressions?

Round 2: Quality and API contracts
Senior Software Engineer · 45 min

What automated tests do you typically write for backend code (unit, integration, contract, etc.) and how do you decide what to cover?
Describe an API contract you implemented or improved. How did you handle validation, error responses, and backward compatibility?
Give an example where tests or monitoring helped you catch a bug early. What changed as a result?

Round 3: Production impact and troubleshooting
Engineering Manager · 45 min

Tell us about a production incident you debugged. What signals did you use (logs/metrics), how did you narrow the scope, and what was the root cause?
Describe how you would instrument a service to make future incidents easier to diagnose. What would you add and why?
When you’re assigned well-defined work, how do you plan and drive it to completion? Share an example with concrete deliverables and outcomes.

Red flags to watch for

Cannot explain how they validated correctness and reliability in backend changes (e.g., limited or absent automated testing)
Relies on guesswork for production debugging without referencing logs/metrics or demonstrating root-cause thinking
Provides vague or inconsistent answers about API contracts, error handling, or how clients safely integrate
Struggles to discuss SQL/schema decisions in terms of correctness and performance tradeoffs
Demonstrates dependence on others to complete basic, well-scoped engineering tasks

How much does it cost to hire a Python Developer in Latin America?

In 2026, a senior Python Developer in Latin America costs $6,625 to $7,625 a month all-in, versus $14,625 in the US: up to 55% less. Mid-level starts at $4,375.

Country

Mid-level

Senior

Argentina

$4,375

$6,625

Brazil

$4,875

$7,375

Colombia

$4,375

$6,625

Mexico

$5,125

$7,625

United States

$11,875

$14,625

Monthly cost in USD, all-in: the talent's salary plus Teilur's flat 20% fee, from our 2026 rates. The United States row shows what the same role typically costs there.

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Frequently asked questions

What does a Python Developer do?

Typical responsibilities include: develop and maintain backend APIs and services using Python; write clean, testable code and implement automated tests to support reliable releases; design and evolve data models and persistence layers to meet product and performance needs. The full list is in the template above.

How much does it cost to hire a Python Developer in Latin America?

In 2026, a senior Python Developer in Latin America costs $6,625 to $7,625 a month all-in, versus $14,625 in the US: up to 55% less. Mid-level starts at $4,375.

Can I customize this Python Developer job description?

Yes. Teilur's free Job Description & Scorecard Generator rewrites it for your stack, seniority, time zone and hiring urgency in about 15 seconds. No sign-up needed.

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Python Developer Job Description Template