Senior Backend Engineer, AI Life Assistant

Jobtailor; Amsterdam; On-site; EUR 100,000 - 150,000; Full time

Job summary

Jobtailor in Amsterdam is seeking a senior backend engineer to own Go and Python services end to end, designing APIs, databases, and infrastructure on GCP. You will build REST and WebSocket endpoints, manage domain models and migrations, and drive observability and security across the stack.

The role emphasizes scalable backend design, GDPR/LGPD compliance, and hands-on ownership from development to deployment with cross-functional collaboration.

Qualifications

• Senior-level backend engineering experience (no specific years stated).
• Experience designing, implementing, deploying, monitoring, and supporting backend services end to end.
• Proficiency in Go for API gateway development
• Proficiency in Python for AI agent services
• Experience with REST and WebSocket endpoints
• Experience with domain models, repository interfaces, and database migrations
• Experience defining and versioning protobuf API contracts
• Knowledge of authentication, authorization, session handling, rate limits, quotas, and abuse protection
• Experience with structured logging, metrics, tracing, and alerting
• Experience with tool calling, orchestration, and third-party or portfolio API integrations
• Experience with prompt and model configuration, versioning, and evaluation harnesses
• Experience optimizing inference latency and cost through caching, batching, model routing, and token budgets
• Experience with Postgres, Redis, queues, retries, idempotency, and dead-letter paths
• Experience maintaining Terraform infrastructure on GCP, including Cloud Run, secrets, and IAM
• Knowledge of GDPR and LGPD data retention, deletion, and export requirements
• Familiarity with Conventional Commits, pull requests, pre-merge quality checks, testing, and code review

Responsibilities

• Own backend services end to end, including design, implementation, deployment, monitoring, and pager support
• Design, build, and maintain Go REST and WebSocket API endpoints for the mobile app and WhatsApp
• Own domain models, repository interfaces, and database migrations
• Add handlers and services as product features require
• Define and version shared protobuf API contracts
• Maintain authentication, authorization, and session handling
• Enforce rate limits, quotas, and abuse protection
• Instrument services with structured logging, metrics, tracing, and alerts
• Extend Python AI agent runtime with tool calling, orchestration, and API integrations
• Manage prompt and model configuration, versioning, and evaluation harnesses
• Optimize inference latency and cost using caching, batching, model routing, and token budgets
• Build and maintain memory and context layers on Postgres and Redis
• Handle asynchronous and long-running work with queues, retries, idempotency, and dead-letter paths
• Design Postgres schemas, indexes, queries, and connection pooling
• Maintain Redis caching, ephemeral state, and pub/sub for real-time chat
• Maintain Terraform infrastructure on GCP, including Cloud Run services, secrets, and IAM
• Assist with deployments, rollbacks, and environment configuration
• Implement GDPR and LGPD data retention, deletion, and export paths
• Support incident response and document outcomes
• Harden the backend for scale, forecast capacity and costs, improve observability, contribute to zero-downtime migrations, and onboard future engineers

Skills

Go API Gateway Development

Python AI Agent Services

Postgres Database Management

Terraform Infrastructure Management

GDPR and LGPD Compliance

Tools

Postgres

Redis

GCP

Cloud Run

Terraform

Job description

• Own backend services end to end, including design, implementation, deployment, monitoring, and pager support
• Design, build, and maintain Go REST and WebSocket API endpoints for the mobile app and WhatsApp
• Own domain models, repository interfaces, and database migrations
• Add handlers and services as product features require
• Define and version shared protobuf API contracts
• Maintain authentication, authorization, and session handling
• Enforce rate limits, quotas, and abuse protection
• Instrument services with structured logging, metrics, tracing, and alerts
• Extend Python AI agent runtime with tool calling, orchestration, and API integrations
• Manage prompt and model configuration, versioning, and evaluation harnesses
• Optimize inference latency and cost using caching, batching, model routing, and token budgets
• Build and maintain memory and context layers on Postgres and Redis
• Handle asynchronous and long-running work with queues, retries, idempotency, and dead-letter paths
• Design Postgres schemas, indexes, queries, and connection pooling
• Maintain Redis caching, ephemeral state, and pub/sub for real-time chat
• Maintain Terraform infrastructure on GCP, including Cloud Run services, secrets, and IAM
• Assist with deployments, rollbacks, and environment configuration
• Implement GDPR and LGPD data retention, deletion, and export paths
• Support incident response and document outcomes
• Harden the backend for scale, forecast capacity and costs, improve observability, contribute to zero-downtime migrations, and onboard future engineers

Requirements

• Senior-level backend engineering experience (no specific years stated)
• Experience designing, implementing, deploying, monitoring, and supporting backend services end to end
• Proficiency in Go for API gateway development
• Proficiency in Python for AI agent services***
• Experience with REST and WebSocket endpoints
• Experience with domain models, repository interfaces, and database migrations
• Experience defining and versioning protobuf API contracts
• Knowledge of authentication, authorization, session handling, rate limits, quotas, and abuse protection
• Experience with structured logging, metrics, tracing, and alerting
• Experience with tool calling, orchestration, and third-party or portfolio API integrations
• Experience with prompt and model configuration, versioning, and evaluation harnesses
• Experience optimizing inference latency and cost through caching, batching, model routing, and token budgets
• Experience with Postgres, Redis, queues, retries, idempotency, and dead-letter paths
• Experience maintaining Terraform infrastructure on GCP, including Cloud Run, secrets, and IAM
• Knowledge of GDPR and LGPD data retention, deletion, and export requirements
• Familiarity with Conventional Commits, pull requests, pre-merge quality checks, testing, and code review

Core Competencies

Demonstrates expertise in backend service ownership, including design, implementation, and deployment of Go and Python applications. Proficient in managing databases, API integrations, and infrastructure on GCP while ensuring compliance with data protection regulations.

Highest-signal resume keywords

• Go API Gateway Development
• Python AI Agent Services
• Postgres Database Management
• Terraform Infrastructure Management
• GDPR and LGPD Compliance

Hard Skills

• Backend Service Design
• REST API Development
• WebSocket API Development
• Domain Models
• Repository Interfaces
• Protobuf API Contracts
• Structured Logging
• Caching and Batching
• Asynchronous Work Handling
• Session Handling

Industry Keywords

• GDPR
• LGPD
• Rate Limits
• Quotas
• Abuse Protection

Tools & Technologies

• Postgres
• Redis
• GCP
• Cloud Run
• Terraform