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Senior Database Reliability Engineer
SezzleSenior Database Reliability Engineer building and scaling Sezzle’s database platform. Combines database knowledge with software engineering and infrastructure engineering expertise.
Tech Stack
Tools & technologiesAWSCloudGoKubernetesMySQLPostgresPythonTerraformTypeScript
About the role
Key responsibilities & impact- Design, build, and maintain shared database platform components used by Sezzle applications, such as database connection packages, database client libraries, migration tooling, safety checks, query standards, and developer-facing abstractions.
- Establish reliable, scalable patterns for how Sezzle services connect to and interact with relational databases across production, staging, and development environments.
- Partner with backend engineering teams to improve database usage in application code, including connection lifecycle, transaction handling, retries, timeouts, pooling, query patterns, and migration workflows.
- Build automation and internal tooling that makes database operations safer, more repeatable, and less dependent on manual intervention.
- Define and enforce engineering standards for database access, schema design, migrations, indexing, query performance, connection management, and operational readiness.
- Architect and improve database infrastructure across AWS RDS/Aurora MySQL, PostgreSQL, RDS Proxy, read replicas, backups, failover, parameter groups, monitoring, and capacity planning.
- Lead database reliability initiatives that reduce operational risk, improve performance, and help Sezzle scale safely.
- Review application designs and database changes early in the development lifecycle to ensure reliability, scalability, maintainability, and security are built in from the start.
- Build guardrails for database migrations, including automated checks, rollback expectations, schema review workflows, migration observability, and production safety controls.
- Improve developer self-service for database provisioning, access, schema management, local development, testing, and observability.
- Investigate production database issues by combining application telemetry, database metrics, logs, query plans, traces, and cloud infrastructure data.
- Identify and fix systemic database problems, not just symptoms — including bad access patterns, unsafe migrations, inefficient queries, connection storms, lock contention, replication lag, and capacity bottlenecks.
- Create and maintain high-signal dashboards, alerts, SLOs, SLIs, runbooks, and operational readiness checks for database-backed services.
- Drive improvements in database backup validation, restore testing, disaster recovery, failover readiness, and business continuity.
- Work with security and compliance teams to improve database access controls, auditability, encryption, secrets management, least privilege, and PCI/SOC 2 aligned controls.
- Mentor engineers on database design, query performance, safe migrations, operational readiness, and production debugging.
- Use automation and AI tooling where appropriate to improve migration review, query analysis, incident investigation, documentation, and developer productivity.
Requirements
What you’ll need- 6+ years of professional software engineering, infrastructure engineering, database engineering, SRE, or platform engineering experience.
- Strong software engineering ability in at least one production programming 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 how application code interacts with databases, including connection pooling, transactions, isolation levels, retries, timeouts, deadlocks, locking, migrations, and query execution.
- Experience designing or improving shared database access patterns, internal database 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 production 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 tooling.
- Ability to influence engineering teams through clear design reviews, documentation, technical standards, and practical implementation.
- Ability to operate independently, identify high-impact problems, propose pragmatic solutions, and drive them to completion.
- Bachelor’s degree in Computer Science.
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
ATS Keywords
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Hard Skills & Tools
GoPythonTypeScriptMySQLPostgreSQLAWS RDSRDS ProxyPgBouncerProxySQLTerraform
Soft Skills
mentoringproblem-solvingindependenceinfluencingcommunicationdesign reviewsdocumentationtechnical standardspragmatic solutionscollaboration
Certifications
Bachelor’s degree in Computer Science