Senior Cloud Database Engineer | Marqeta

Marqeta

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$144,100–$180,100 / yr
Posted
22 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k
This role $162k
$128k most similar roles pay here $235k

This role pays less than 60% of similar roles. Most pay $142,400–$224,462 — the shaded band above. At the midpoint, this role pays about $162k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About Marqeta

Marqeta is a modern card issuing platform that provides open API technology for businesses to create, issue, and manage customized payment cards, powering payment programs for fintech companies and enterprises. Industry: Financial Technology & Card Issuing

Marqeta currently has 19 open roles on FindRole.

Listed pay typically runs $128,700–$160,850 across 14 roles with salary data.

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View all roles at Marqeta

At a glance

TL;DR · Senior Cloud Database Engineer | Marqeta

As Marqeta’s Senior Cloud Database Engineer, you will join a dynamic team responsible for the databases that power Marqeta’s card issuing platform, supporting over 5 billion annual transactions across multiple global regions. Your daily tasks include automating AWS Aurora instance lifecycles, collaborating with application teams to enhance database performance, and innovating in high availability and resilient solutions. You’ll contribute to technical vision by maintaining and migrating relational and non-relational databases, designing disaster recovery strategies, and implementing automation to reduce manual work. Key skills required are experience with cloud-native databases like AWS Aurora, MySQL, PostgreSQL, DynamoDB, or MongoDB, proficiency in IaC tools such as Terraform, CI/CD pipelines, Python scripting, Linux commands, and monitoring tools like Datadog. Ideal candidates also have a background in payments or FinTech and a commitment to continuous learning and team collaboration.

What you'll do

  • Automate lifecycle of AWS Aurora instances and other databases.
  • Analyze database performance to optimize application team needs.
  • Design high availability and disaster recovery solutions for databases.
  • Implement platform architecture, sharding, and partitioning initiatives.
  • Write clear technical documentation and communicate decisions effectively.
  • Mentor junior engineers and contribute to team standards.
  • Conduct root cause analysis and document remediation efforts.

What we're looking for

  • 5+ years of backend engineering experience or equivalent relevant work experience.
  • Expertise in cloud-native databases like AWS Aurora, MySQL, PostgreSQL, DynamoDB, and MongoDB.
  • Experience with high availability, disaster recovery, and distributed systems including replication and failover.
  • Proficiency in infrastructure as code (IaC) tools such as Terraform and automation/CI/CD pipelines.
  • Strong understanding of database administration, query tuning, indexing, and performance metrics.
  • Solid skills in Python, Linux commands, shell scripting, and monitoring tools like Datadog.

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