Database CloudOps (PostgreSQL)

Salmon Group Ltd

España

Presencial

EUR 60.000 - 90.000

Jornada completa

14 días+

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Descripción de la vacante

Salmon Group Ltd in Spain seeks a database engineer to own and optimize a high-load PostgreSQL-backed platform used by millions of users. You will administer the database cluster, plan zero-downtime migrations, and implement robust monitoring in a cloud environment.

You will collaborate with software engineers to improve query performance, scale data pipelines, and manage infrastructure with Terraform on AWS (RDS/Aurora).

Formación

  • Strong PostgreSQL knowledge: query optimization, indexing, replication, and performance troubleshooting.
  • Experience with large-scale data systems, ETL pipelines, or distributed backends.
  • Solid SQL schema design and transaction management.
  • Hands-on Linux, monitoring tools, and automation scripting.
  • Familiarity with AWS services (Aurora, RDS, Redshift) and cloud environments.
  • Basic CI/CD, Git, and containerization (Docker, Kubernetes).

Responsabilidades

  • Support and administration of a high-load database (≈20,000 transactions per minute).
  • Performing and maintaining zero-downtime database migrations (seamless migrations).
  • Proactive identification and resolution of database issues and bottlenecks.
  • Collaborate with developers on DB architecture and query optimization.
  • Configure and maintain PostgreSQL infra in AWS (RDS, Aurora) managed through Terraform.
  • Participate in architecture optimization, performance tuning, and bottleneck analysis.
  • Handle incident and performance management tasks; participate in new projects involving databases.
  • Active involvement in development: propose tasks and take initiative beyond tickets.

Conocimientos

PostgreSQL
SQL
ETL
Distributed systems
Linux
Monitoring
Automation scripting
CI/CD
Docker
Kubernetes
AWS

Herramientas

Terraform
Aurora
RDS
Kafka Debezium
Docker
Kubernetes

Descripción del empleo

Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines.

7M+ app downloads. 2M+ monthly active users. 7000+ partner stores. US$350M+ raised from top-tier investors.

Here, you get real ownership from day one, high standards, and direct communication. You'll work alongside a team that combines deep local knowledge and experience scaling regulated financial companies from scratch.

If you want to solve complex problems at scale and directly impact how millions of people access and manage money, come build with us.

Southeast Asia's fintech moment starts here.

What You'll Do
  • Support and administration of a high-load database (approximately 20,000 transactions per minute)
  • Performing and maintaining zero-downtime database migrations (seamless migrations).
  • Proactive identification and resolution of database-related issues and performance bottlenecks
  • Collaboration with the development team to address tasks related to database architecture and query optimization
  • Configuration and maintenance of database PostgreSQL infrastructure in AWS (RDS, Aurora), managed through Terraform
  • Participation in database architecture optimization, performance tuning, bottleneck analysis, and proposing improvements
  • Handling tasks related to incident and performance management; participation in new projects and services involving databases
  • Active involvement in the development process: taking initiative to identify issues and propose tasks, not just handling incoming tickets
What Makes You a Strong Fit
  • 3–5+ years of professional experience in software engineering or data engineering (depending on the role)
  • Strong knowledge of PostgreSQL — query optimization, indexing strategies, replication, and performance troubleshooting
  • Experience working with large-scale data systems, ETL pipelines, or distributed backend systems
  • Solid understanding of SQL performance tuning, schema design, and transaction management
  • Hands-on experience with Linux systems, monitoring tools, and automation scripting.
  • Familiarity with AWS services (Aurora, RDS, Redshift, kafka debezium connectors) and similar cloud environments
  • Basic understanding of CI/CD pipelines, Git, and containerization (Docker, Kubernetes)
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