Database Engineer

TL;DR

Database Engineer: Building and optimizing internal platform capabilities for database management and observability with an accent on codifying deep database expertise into tools and automating best practices. Focus on designing self-service tooling, democratizing observability, and architecting core data infrastructure for product engineers.

Location: Hybrid, based in Madrid

Company

hirify.global is an AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue and scale customer-facing teams.

What you will do

• Build self-service platform capabilities using Terraform and automation scripts for provisioning and managing data resources.
• Embed database expertise into code, applying best practices for indexing, schema design, and security configurations.
• Create out-of-the-box observability systems with preconfigured dashboards, SLIs/SLOs, and alerts in Datadog.
• Implement automated guardrails and policy-as-code to prevent dangerous operations.
• Architect and maintain core data infrastructure codebases for AWS RDS (Postgres+MySQL), OpenSearch, ElastiCache, and DynamoDB.
• Educate and partner with engineering teams to foster database literacy.

Requirements

• 3+ years of experience in Database Engineering and Infrastructure, specializing in design, automation, and optimization of distributed data stores.
• Strong proficiency with AWS and Terraform (Advanced usage).
• Experience with scripting/coding in Python, Go, and Bash.
• Expertise in data stores like RDS Postgres, RDS MySQL, DynamoDB, OpenSearch, and ElastiCache.
• Proficiency with observability tools like Datadog and orchestration with GitLab CI and Kubernetes.
• AI First Mindset and excellent communication skills to explain complex database constraints.

Culture & Benefits

• Opportunity to join hirify.global during a key growth period.
• Emphasis on work-life balance and a fast-learning environment.
• Diverse and multicultural team (45+ Nationalities).
• Competitive salary package and benefits.
• Commitment to diversity, equity, and inclusion.

Hiring process

• AI tools may be used to support parts of the hiring process.
• Final hiring decisions are made by humans.