Senior Backend Engineer (Go)

About the role
We're building a cybersecurity SaaS product with LLM-powered features. We're looking for a Senior Go engineer on a part-time basis with hourly pay, who will own backend features end to end, from API design to production. We'll share the company name after the intro call.

Format
– Part-time, hourly pay
– Fully remote
– Workload is agreed on the intro call

What you'll do
– Build new features and extend existing functionality, including LLM-based features
– Integrate the platform with third-party services
– Work with AWS infrastructure (EC2, S3 and other services)
– Review the existing codebase, suggest improvements, fix bugs and refactor
First 90 days: onboarding and getting to know the backend code, improvement proposals, bug fixes, refactoring and smaller features.

Tech stack
– Go, Labstack Echo, sqlx
– REST, Swagger / OpenAPI
– PostgreSQL
– AWS: EC2, S3, SES; AWS Bedrock for LLM features
– OpenSearch for observability
– GitHub Actions
– Monolith; background jobs run inside the backend; in-memory caching in Go

Requirements
– 4+ years of commercial backend development, including 3+ years of production experience with Go
– Advanced Go: idiomatic code, concurrency (goroutines, channels, context), error handling, testing and profiling
– Designing and documenting REST APIs (Swagger / OpenAPI) for multi-tenant SaaS, including OAuth 2.0 authorization
– Strong PostgreSQL: schema design, migrations, complex hand-written SQL without an ORM (joins, subqueries, aggregations, window functions, CTEs), query optimization (indexes, EXPLAIN)
– Building fault-tolerant integrations with external services: third-party APIs, webhooks, push/pull
– Hands-on experience with AWS as a developer: EC2, S3, SES
– Observability: logging, metrics, tracing
– Owning a feature end to end: self-review, clear API contracts for the frontend, deploying to the dev environment and testing your work before handing it over
– Secure coding: OWASP API Top 10, secrets management, handling personal data in line with GDPR
– English B1 (Intermediate) or higher

Working with AI
– You use AI daily as an assistant for refactoring, testing and debugging, while writing your own code
– You can critically review AI-generated code for bugs, security issues and design flaws
– You understand how LLMs work: prompting, common failure modes, evaluating output quality
– You've integrated LLMs into Go services: structured output (JSON, tool calling), error and timeout handling, retries, rate limits, cost and latency control

Nice to have
– SSO (OAuth / OIDC), SCIM, Microsoft Graph / Entra ID
– AWS SDK for Go
– Message brokers (RabbitMQ, Kafka)
– Integration testing
– Server-side PDF report generation; i18n in APIs
– Background in cybersecurity; understanding of cryptography (hashing, symmetric and asymmetric encryption)
– Shipping LLM-based features to production
– AI agents and tool calling (including MCP), RAG with embeddings and vector search
– LLM security: prompt injection, data leakage, OWASP Top 10 for LLM Applications

Hiring process
1. Intro call
2. Technical interview
3. Final interview and offer