Opportunities in India

Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract.

Oracle-to-PostgreSQL migrations don't fail at conversion. They fail at go-live DMS latency nobody diagnosed, autovacuum behavior nobody tuned, privilege mappings nobody tested, incidents nobody owns at 2 a.m. This role sits inside our Application & Database Modernization pillar and exists to make sure that doesn't happen. As our Senior Database Administrator, you'll run the Amazon Aurora PostgreSQL environments in an active Oracle-to-PostgreSQL migration program from cluster design through DMS replication through post–go-live stabilization. Aedeon handles the repeatable conversion and validation work; you own what agents can't: production judgment. When replication lags, when a workload misbehaves after cutover, when an incident escalates past L2, you're the person who resolves it and can explain why it happened. This is a freelance engagement, remote, working as the L3 escalation point on production systems that real businesses run on.

Design, set up, configure, and manage Amazon Aurora PostgreSQL clusters. Configure parameters, maintenance windows, monitoring, and scaling strategies. Keep the environments highly available, fault tolerant, and operationally ready — before go-live, not after. Map users, roles, and privileges from Oracle to PostgreSQL. Implement least-privilege access, role hierarchies, and security best practices, and support audit and compliance requirements. Configure, run, monitor, and optimize AWS DMS tasks (Full Load and CDC). Troubleshoot DMS latency, data mismatches, and performance issues, and tune DMS settings for large-volume, high-throughput workloads. Tune server and database performance — CPU, memory, I/O, connections — plus PostgreSQL parameters, autovacuum, indexing, and query behavior. Find performance bottlenecks before the customer does, and resolve them. Design and implement backup and restore strategies; define and test DR and failover procedures; support cross-region replication and recovery drills. Lead post–go-live stabilization: monitor production workloads, resolve incidents, and act as the L3 escalation point for database-related production issues. Deliver operational documentation and handover support, so what you stabilized stays stable after you.

5+ years of experience administering Amazon Aurora PostgreSQL. Proven expertise supporting Oracle-to-PostgreSQL migrations. Hands-on experience with AWS DMS. Advanced PostgreSQL performance tuning and troubleshooting skills. Strong knowledge of backup, restore, and DR planning in AWS. Experience with AWS monitoring tools (CloudWatch, Performance Insights). Strong problem-solving and root-cause analysis abilities. Experience working in production and post–go-live environments. The ability to work independently as an L3 escalation engineer. Clear communication and documentation skills.

Familiarity with automation and configuration management tools, such as Ansible, Chef, or Puppet Familiarity with IAAC tools such as Terraform, CloudFormation Familiarity with CI/CD implementation tools like Liquibase/Flyway AWS Certified Database – Specialty AWS Certified Solutions Architect

We refactor legacy databases to cloud-native AWS on a committed date, with Mactores carrying delivery overage risk for delays we cause. Aedeon absorbs the repetitive majority schema conversion, test generation, regression harnesses. Engineers absorb the judgment: risk tradeoffs, production cutover, post-cutover optimization. You're the judgment layer for this program's production environments. When we tell a customer their database will be stable on a date, your work is what makes that sentence true.