Platform Engineer

Platform EngineerKey Responsibilities • Lead the maintenance and optimization of our AWS data infrastructure, focusing on proactive improvements and regular maintenance • Manage database platforms including Aurora PostgreSQL and MySQL, performing upgrades, rehydrations, and performance tuning • Implement and maintain infrastructure as code using Terraform for consistent and repeatable deployments • Configure and manage AWS data services including DMS and Glue • Design and implement monitoring and alerting systems to ensure platform health and performance • Develop automation scripts and tools to improve operational efficiency • Spearhead cloud cost optimization initiatives and implement FinOps best practices for our data platform • Collaborate with internal teams including data engineers, analysts, and scientists to understand their platform needs • Participate in on-call rotation to support critical platform issues when they arise • Document platform architecture, operations procedures, and best practices • Provide technical guidance and mentorship to junior team membersRequired Qualifications • 5+ years of experience managing AWS infrastructure with a focus on data services • Strong hands-on experience with relational databases, particularly PostgreSQL and MySQL • Experience with infrastructure as code, specifically Terraform • Knowledge of AWS data services including DMS, Glue, and RDS/Aurora • Solid understanding of database administration, including performance tuning and troubleshooting • Experience with cloud cost management and FinOps practices • Proficiency with Linux/Unix systems and shell scripting • Experience with monitoring tools and implementing observability solutions • Understanding of network security principles and best practices in cloud environmentsPreferred Qualifications • AWS certifications (Data Engineer, Solutions Architect) • Experience with database replication and high availability configurations • Knowledge of data modeling and schema design • Experience with containerization technologies (Docker, Kubernetes) • Understanding of disaster recovery and business continuity planning • Familiarity with CI/CD pipelines and DevOps practices • Knowledge of Python or other programming languages for automation