DevOps Engineer

About the company

Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.

Role overview

We're looking for a DevOps engineer with a strong database background. The right candidate combines solid AWS infrastructure experience with a DBA mindset — someone who is proactive about performance, cost, and reliability without needing to be prompted. This is a hands-on role with real ownership across multiple deployment targets (Managed Services, SaaS, on-prem). Priority for AI enabled DevOps engineers who leverage agentic workflows in their day-to-day work.

Key responsibilities

Manage and optimise database infrastructure across AWS (ECS/EC2, EKS)

Drive query performance tuning, indexing, connection pooling, and replication management

Own infrastructure-as-code using TypeScript CDK; rare manual console changes

Identify and execute cost optimisation opportunities across RDS/Aurora, storage, and compute

Build automation tooling in Bash and TypeScript for backup validation, failover testing, and capacity planning

Collaborate with engineering teams on schema design and data access patterns ahead of implementation

Maintain CI/CD pipelines for infrastructure changes across all deployment targets

Requirements

3+ years in a DevOps, platform, or infrastructure role with a strong database focus

Production-level experience with PostgreSQL (query plans, vacuuming, partitioning, replication)

Hands-on AWS experience with RDS, Aurora, and at least one of ECS or EKS

Infrastructure-as-code proficiency; TypeScript CDK preferred, Terraform or Pulumi considered

Proficient in Bash scripting

Agentic AI workflows

Tech stack

PostgreSQL · SQL Server · AWS RDS/Aurora · ECS/EC2 · EKS · TypeScript CDK · Bash · GitLab, Pipelines · AI-assisted tooling