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Senior Database Reliability Engineer

11 hours, 47 minutes ago
Latin America
Full-time
Senior
Database Administrator
DevOps and Infrastructure
AWS CI/CD Datadog Docker Elasticsearch Git GitLab Go Grafana GraphQL Helm Kubernetes Microservices MySQL New Relic OpenTelemetry PostgreSQL Prometheus Python React React Native REST API Terraform TypeScript
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Sezzle

Sezzle

Sezzle is a payments company revolutionizing the buy now, pay later experience with interest-free installment plans, empowering consumers and merchants alike.

Diversified Financial Services
251-1K
Founded 2016
View All Jobs 185

Description

  • Design, build, and maintain shared database platform components such as client libraries, connection packages, migration tooling, and developer abstractions.
  • Establish scalable patterns for how services connect to and interact with relational databases across production, staging, and development environments.
  • Partner with backend teams to improve application database usage, including connection handling, transactions, retries, timeouts, pooling, and query patterns.
  • Build automation and internal tooling to make database operations safer, more repeatable, and less manual.
  • Define and enforce standards for database access, schema design, migrations, indexing, query performance, and operational readiness.
  • Architect and improve database infrastructure across AWS RDS/Aurora MySQL, PostgreSQL, RDS Proxy, replicas, backups, failover, monitoring, and capacity planning.
  • Lead database reliability initiatives that reduce operational risk and improve performance.
  • Review application designs and database changes early to ensure reliability, scalability, maintainability, and security are built in.
  • Build guardrails for database migrations, including automated checks, rollback expectations, schema review workflows, observability, and production safety controls.
  • Improve developer self-service for provisioning, access, schema management, local development, testing, and observability.
  • Investigate production database issues using telemetry, metrics, logs, query plans, traces, and cloud infrastructure data.
  • Identify and resolve systemic database problems such as unsafe migrations, inefficient queries, connection storms, lock contention, replication lag, and capacity bottlenecks.
  • Create and maintain dashboards, alerts, SLOs, SLIs, runbooks, and operational readiness checks for database-backed services.
  • Improve backup validation, restore testing, disaster recovery, failover readiness, and business continuity.
  • Work with security and compliance teams to strengthen access controls, auditability, encryption, secrets management, least privilege, and PCI/SOC 2-aligned controls.
  • Mentor engineers on database design, query performance, safe migrations, and production debugging.

Requirements

  • 6+ years of professional software engineering, infrastructure engineering, database engineering, SRE, or platform engineering experience.
  • Strong software engineering ability in at least one production language such as Go, Python, or TypeScript.
  • Proven ability to build production-quality internal tools, libraries, frameworks, services, or platform components used by other engineers.
  • Deep hands-on experience with relational databases, especially MySQL and/or PostgreSQL, in high-availability production environments.
  • Strong understanding of application-database interactions, including pooling, transactions, isolation levels, retries, timeouts, deadlocks, locking, migrations, and query execution.
  • Experience designing or improving shared database access patterns, internal packages, ORM wrappers, migration frameworks, or developer-facing database tooling.
  • Hands-on experience with AWS RDS/Aurora, including provisioning, upgrades, replicas, backups, failover, monitoring, parameter tuning, and troubleshooting.
  • Experience with database connection management technologies such as RDS Proxy, PgBouncer, ProxySQL, or application-level pooling.
  • Strong ability to analyze database performance using query plans, indexes, slow query logs, wait events, locks, metrics, and application traces.
  • Experience designing safe database migration processes for production systems.
  • Strong understanding of observability for database-backed applications, including metrics, logs, traces, SLOs, alerting, and incident response.
  • Experience with infrastructure-as-code and CI/CD systems such as Terraform, GitLab CI/CD, Kubernetes, Helm, or similar tools.
  • Ability to influence engineering teams through design reviews, documentation, technical standards, and practical implementation.
  • Ability to work independently, identify high-impact problems, and drive pragmatic solutions to completion.
  • Bachelor’s degree in Computer Science.
  • Experience building platform capabilities for a microservices environment (preferred).
  • Experience with Golang application development and database access patterns (preferred).
  • Experience creating database libraries, SDKs, service templates, migration frameworks, or paved-road developer tooling (preferred).
  • Experience improving database reliability across many services or teams, not just one application (preferred).
  • Experience with fintech, payments, banking, e-commerce, or other high-volume transactional systems (preferred).
  • Experience with PCI DSS, SOC 2, or SOX environments (preferred).
  • Experience with database access governance, audit logging, secrets management, encryption, IAM authentication, and least-privilege access models (preferred).
  • Experience with large-scale operational automation for provisioning, patching, failover testing, backup validation, access management, or schema review (preferred).
  • Experience with distributed systems patterns such as transactional outbox, event-driven architecture, idempotency, queues, eventual consistency, and data consistency tradeoffs (preferred).
  • Experience with observability tools such as Prometheus, Grafana, Datadog, CloudWatch, Performance Insights, OpenTelemetry, or New Relic (preferred).
  • Familiarity with Elasticsearch or other supporting data stores (preferred).
  • Familiarity with AI developer tooling such as Claude Code, Gemini CLI, Codex, or Cursor (preferred).

Benefits

  • Salary range of $5,000 to $9,500 per month gross in USD.
  • Full-time remote role.
  • Opportunity to work with AI tooling and automation to boost productivity and database reliability.
  • Chance to work on a mission-driven fintech product with real impact on merchants and consumers.

Interested in this position?

Apply directly on the company website

Apply Now

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