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Software Engineer
Free template · 2026

Software Engineer Job Description Template

A ready-to-use Software Engineer job description for 2026, with the interview scorecard and questions to hire one. Copy it as is or customize it free in about 15 seconds.

Includes the job description, an interview scorecard and questions for every round.

Mid-level in Latin America
$4,500/mo
Same role in the US
$11,875/mo
You save
Up to 62%

All-in monthly cost, 2026 rates.

Job description template
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Software Engineer

We are seeking a mid-level Software Engineer to design, build, and maintain reliable features across our product. You will work independently on well-defined work, partner with teammates to improve system quality, and ensure your services operate correctly in production.

Responsibilities

  • Design and implement backend services and APIs to support product features
  • Write clean, maintainable code with appropriate tests and documentation
  • Diagnose and fix production issues, improving reliability and observability over time
  • Collaborate with product and engineering to refine requirements into buildable solutions
  • Participate in code reviews and help set engineering standards for quality and performance
  • Optimize application performance and data access patterns as usage evolves
  • Contribute to CI/CD and operational readiness for releases

Must-have qualifications

  • Hands-on experience building backend services with a modern language/framework
  • Strong SQL and relational database fundamentals, including schema design and query optimization
  • Proficiency writing automated tests (unit/integration) and using them to prevent regressions
  • Experience debugging production systems using logs, metrics, and traces (or equivalent observability tooling)
  • Solid understanding of RESTful API design or equivalent service interfaces
  • Version control and collaboration experience using Git and pull requests

Nice to have

  • Experience with cloud infrastructure and deployment workflows (e.g., containers, orchestration, or CI/CD)
  • Familiarity with event-driven systems or background job processing
  • Experience with authentication/authorization patterns and secure API design

What success looks like in 12 months

  • Feature delivery with measurable reliability
  • Quality through testing and reduced regressions
  • Production stability and faster issue resolution
  • Performance and efficient data access
  • Operational excellence via observability

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 backend features and operational improvements by independently taking ownership of well-defined work end-to-end.

Outcomes to measure

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

  • Feature delivery with measurable reliability. Measure: Ship [N] production features with incident rate no worse than [X] compared to the previous period (or reduce incidents by [X]%).
  • Quality through testing and reduced regressions. Measure: Increase coverage for touched components by [X]% and reduce test-related regressions by [X] per [time period].
  • Production stability and faster issue resolution. Measure: Reduce mean time to resolve (MTTR) production issues by [X]% and improve alert precision by reducing false positives by [X]%.
  • Performance and efficient data access. Measure: Improve key endpoints’ p95 latency by [X]% and reduce database query time by [X]% on prioritized workflows.
  • Operational excellence via observability. Measure: Add/extend dashboards and tracing/logging for [N] critical services so that [X]% of production incidents include actionable signals in observability tools.

Competencies and weights

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

Backend engineering ownership · 22%
The role is mid-level and must deliver well-defined backend work independently, from design through release. Evaluated in Round 1.

  • Weak: Completes assigned tasks but needs repeated guidance to design solutions, handle edge cases, or finalize implementation.
  • Meets the bar: Independently designs and implements solutions for well-defined backend work and handles expected edge cases.
  • Strong: Proactively refines requirements, anticipates edge cases, and delivers robust implementations that integrate cleanly with existing systems.

SQL and data modeling · 18%
Backend changes frequently depend on correct schema design and efficient querying to meet performance and correctness needs. Evaluated in Round 1.

  • Weak: Writes queries that are correct but inefficient or struggles to reason about indexes and query plans.
  • Meets the bar: Designs workable schemas and writes queries with clear performance considerations (filters, joins, indexes).
  • Strong: Improves data access patterns with measurable performance gains and prevents correctness issues (e.g., duplicates, inconsistent reads).

Production debugging and observability · 18%
The engineer must be able to diagnose and fix production problems using real operational signals. Evaluated in Round 2.

  • Weak: Troubleshoots slowly, has difficulty correlating symptoms to root cause, or can’t point to signals used.
  • Meets the bar: Uses logs/metrics/traces to form hypotheses, isolate the root cause, and validate the fix.
  • Strong: Rapidly identifies root causes, improves observability for recurrence prevention, and documents learnings.

Automated testing discipline · 16%
Strong testing practices reduce regressions and support safe iteration on production systems. Evaluated in Round 2.

  • Weak: Adds limited tests or tests that don’t meaningfully validate behavior; relies on manual verification.
  • Meets the bar: Implements unit/integration tests that cover core behavior and key edge cases for the change.
  • Strong: Builds a test strategy that reliably catches regressions, including failure modes and contract-level checks.

API design and integration · 10%
Correct interface design and integration reduce downstream bugs and make features easier to use and maintain. Evaluated in Round 3.

  • Weak: Creates interfaces that are inconsistent, hard to consume, or misses contract considerations (status codes, schemas, versioning).
  • Meets the bar: Designs clear service interfaces (e.g., REST endpoints) with consistent contracts and error handling.
  • Strong: Designs APIs that support backward compatibility, clear contracts, and predictable client behavior.

Collaborative engineering habits · 10%
Code review and cross-functional collaboration are essential to ship changes safely and improve team standards. Evaluated in Round 3.

  • Weak: Provides minimal context in reviews or struggles to incorporate feedback into implementation.
  • Meets the bar: Communicates clearly in reviews, responds constructively to feedback, and documents decisions appropriately.
  • Strong: Leads improvements in team processes, helps others unblock, and elevates code quality through thoughtful collaboration.

Security mindset · 6%
Secure API patterns and authentication/authorization awareness prevent common vulnerabilities and incidents. Evaluated in Round 3.

  • Weak: Overlooks authentication/authorization boundaries or doesn’t consider common security failure modes.
  • Meets the bar: Implements/uses secure patterns for authorization and avoids obvious security pitfalls (input validation, least privilege).
  • Strong: Anticipates abuse cases, validates authorization rigorously, and advocates for secure-by-design changes.
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 + Data Deep Dive
Senior Backend Engineer · 60 min

  1. Tell us about a backend service you built end-to-end. What was the design approach, key data flows, and how did you ensure correctness?
  2. Describe a time you improved a slow SQL query. What was the problem, what changes did you make (schema/index/query), and what measurable improvement did you see?
  3. How do you design schemas and handle data integrity (e.g., constraints, transactions, handling duplicates) for features that require multiple reads/writes?

Round 2: Testing + Production Reliability
Staff/Lead Engineer (Reliability) · 60 min

  1. Walk through your approach to automated testing for a backend change. How did you decide what to test (unit vs integration), and how do you avoid brittle tests?
  2. Share a production incident you investigated. What signals did you use (logs/metrics/traces), how did you form hypotheses, and how did you confirm the root cause?
  3. After fixing an issue in production, how do you decide what to add/change to prevent recurrence (tests, alerts, dashboards, runbooks)?

Round 3: API Design + Collaboration
Engineering Manager · 60 min

  1. Explain how you design and evolve an API contract. How do you handle backward compatibility, error responses, and schema changes?
  2. Give an example of a PR/code review interaction where feedback materially improved the outcome. What changed because of the review?
  3. Describe your approach to authentication/authorization in backend services. How do you ensure requests are authorized correctly and consistently across endpoints?

Red flags to watch for

  • Relies primarily on manual testing or lacks specific examples of automated tests preventing regressions
  • Cannot explain how they debugged a production issue using concrete observability signals (logs/metrics/traces)
  • Demonstrates weak understanding of SQL/query performance or data integrity concerns in real systems
  • Avoids ownership language entirely (cannot describe decisions, tradeoffs, or outcomes from independent work)
  • Produces inconsistent or unsafe API/auth patterns (e.g., unclear error handling, unclear authorization boundaries)

How much does it cost to hire a Software Engineer in Latin America?

In 2026, a senior Software Engineer in Latin America costs $6,750 to $7,750 a month all-in, versus $14,625 in the US: up to 54% less. Mid-level starts at $4,500.

Country

Mid-level

Senior

Argentina

$4,500

$6,750

Brazil

$5,000

$7,500

Colombia

$4,500

$6,750

Mexico

$5,250

$7,750

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.

Compare costs in the calculator →

Frequently asked questions

What does a Software Engineer do?

Typical responsibilities include: design and implement backend services and APIs to support product features; write clean, maintainable code with appropriate tests and documentation; diagnose and fix production issues, improving reliability and observability over time. The full list is in the template above.

How much does it cost to hire a Software Engineer in Latin America?

In 2026, a senior Software Engineer in Latin America costs $6,750 to $7,750 a month all-in, versus $14,625 in the US: up to 54% less. Mid-level starts at $4,500.

Can I customize this Software Engineer 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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