Job description template

Golang Developer

We are hiring a mid-level Golang Developer to build and maintain reliable backend services. You’ll work independently on well-defined work, collaborate with product and engineering peers, and improve system performance, correctness, and observability across the services you own.

Responsibilities

Design, implement, and maintain Go services and APIs
Write production-grade Go code with a focus on correctness, performance, and maintainability
Develop and improve database interactions (SQL and/or NoSQL), schemas, and data access layers
Build and maintain message-driven or event-driven components as part of backend workflows
Add tests (unit, integration) and help ensure quality through pragmatic automation
Improve observability by instrumenting services with logs, metrics, and traces
Collaborate on system design decisions, review pull requests, and support incident response for services you own

Must-have qualifications

Hands-on experience developing backend services in Go
Experience designing and implementing RESTful or RPC APIs in production
Strong understanding of concurrency in Go (goroutines, channels, synchronization, and race avoidance)
Proficiency with relational databases and SQL, including query optimization fundamentals
Experience with testing Go services (unit and integration testing) and handling failure cases
Working knowledge of observability practices (structured logging, metrics, tracing)

Nice to have

Experience with Kubernetes and deploying Go services
Experience with event-driven architectures (queues/streams) and idempotent consumers
Familiarity with CI/CD pipelines for Go services
Experience with performance profiling and diagnosing production issues

What success looks like in 12 months

Go service features are shipped predictably and safely
Reliability improves through better handling of failures and edge cases
Performance and resource efficiency improve for owned services
Test coverage and quality gates increase for owned code
Observability is improved so issues can be diagnosed quickly

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, observable Go backend services by owning well-defined work end to end and improving quality and performance over time.

Outcomes to measure

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

Go service features are shipped predictably and safely. Measure: ship [N] features with a production defect/rollback rate of no more than [X]% after release
Reliability improves through better handling of failures and edge cases. Measure: reduce production incidents tied to service behavior by [X]%
Performance and resource efficiency improve for owned services. Measure: improve p[95] latency for targeted endpoints by [X]% and/or reduce CPU/memory utilization by [X]% where measured
Test coverage and quality gates increase for owned code. Measure: increase automated test coverage for owned components by [X]% and maintain test pass rate of at least [X]%
Observability is improved so issues can be diagnosed quickly. Measure: ensure [X]% of owned services/components have structured logs and key metrics exported; reduce time to identify root cause by [X]%

Competencies and weights

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

Go backend development · 26%
Core capability for delivering production Go services independently. Evaluated in Round 1.

Weak: Implements basic endpoints but struggles to structure code for maintainability or production requirements.
Meets the bar: Builds well-structured Go services and APIs that are maintainable and follow project conventions.
Strong: Designs and implements Go components with clear boundaries, good error handling, and performance-conscious patterns.

API design in production · 18%
Ensures the candidate can build and evolve service interfaces used by other systems. Evaluated in Round 1.

Weak: Creates APIs with unclear contracts, inconsistent error semantics, or limited attention to versioning/compatibility.
Meets the bar: Designs practical API contracts with consistent request/response and error handling.
Strong: Anticipates consumer needs, designs stable contracts (versioning where appropriate), and documents tradeoffs clearly.

Go concurrency and safety · 18%
Concurrency correctness is essential for correctness and availability in Go services. Evaluated in Round 2.

Weak: Uses concurrency primitives in ways that risk deadlocks, data races, or uncontrolled goroutine lifetimes.
Meets the bar: Uses goroutines/channels safely with appropriate synchronization and avoids common race patterns.
Strong: Demonstrates robust cancellation, bounded concurrency, and race-free designs under failure/timeout scenarios.

SQL and data modeling · 14%
Backend services depend on efficient, correct data access. Evaluated in Round 2.

Weak: Writes SQL that works but is inefficient or lacks attention to indexes and query plans.
Meets the bar: Writes correct SQL queries and improves performance using basic indexing and query reasoning.
Strong: Designs schemas/queries for scalability, prevents common pitfalls (N+1, inefficient joins), and explains optimization decisions.

Testing and failure handling · 12%
Ensures correctness and resilience through pragmatic tests and handling of edge cases. Evaluated in Round 3.

Weak: Adds limited tests or tests that are brittle, with insufficient coverage of error paths.
Meets the bar: Implements unit and integration tests that cover key behaviors and failure cases.
Strong: Builds a testing strategy that reliably validates behavior under timeouts, retries, and partial failures.

Observability and operations · 12%
Operational readiness is required to diagnose issues and support incident response. Evaluated in Round 3.

Weak: Relies on ad-hoc debugging and logging; provides little actionable telemetry for diagnosing issues.
Meets the bar: Implements structured logging and metrics that support debugging and monitoring.
Strong: Designs telemetry with actionable signals (log fields, metrics, trace context) and explains how it shortens diagnosis time.

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 & API fundamentals
Engineering Lead · 45 min

Describe how you design and structure a Go backend service (packages, handlers, layers) for long-term maintainability.
Walk through an example API you’ve built: how you defined request/response contracts and handled errors consistently.
How do you think about backwards compatibility when evolving an API contract? What techniques have you used?
What are your typical approaches for validating inputs and managing timeouts/cancellation at the API boundary?

Round 2: Concurrency & data access
Senior Backend Engineer · 45 min

Explain a concurrency pattern you’ve used in Go (channels, worker pools, fan-in/fan-out). How did you prevent leaks and races?
How do you design goroutine lifecycles and cancellation using contexts? Give a concrete example.
Describe how you approach preventing data races in concurrent Go code. What tools or practices do you use?
Talk about a time you improved SQL query performance. What was the bottleneck and what did you change (indexes, query shape, joins, batching)?

Round 3: Quality, observability & resilience
Staff Engineer · 45 min

Describe your testing approach for Go services. How do you decide what to test with unit vs integration tests?
Give an example of how you tested failure scenarios (timeouts, retries, partial failures). What did you assert?
How do you implement observability in Go services (structured logs, metrics, traces)? What signals do you add first and why?
When an incident happens, how do you use telemetry to identify root cause and validate the fix?

Red flags to watch for

Trouble explaining how they avoid data races or manage goroutine lifecycles under cancellation/timeouts
APIs described without clear contracts or inconsistent error semantics/versioning strategy
Insufficient testing coverage of error paths or reliance on manual testing only
Telemetry described as generic logging without metrics/traces or actionable fields for diagnosis
SQL experience limited to writing basic queries with no discussion of performance, indexes, or query reasoning

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

In 2026, a senior Golang 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 Golang Developer do?

Typical responsibilities include: design, implement, and maintain Go services and APIs; write production-grade Go code with a focus on correctness, performance, and maintainability; develop and improve database interactions (SQL and/or NoSQL), schemas, and data access layers. The full list is in the template above.

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

In 2026, a senior Golang 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 Golang 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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Golang Developer Job Description Template