Senior AWS & Multi-Database Engineer

Senior AWS & Multi-Database Engineer

Posted Today by Marici Solutions

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Negotiable
Undetermined
Remote
Remote
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Access Controls Amazon Aurora Amazon DocumentDB Amazon DynamoDB Amazon ElastiCache Amazon Relational Database Services Amazon Web Services (AWS) Automation AWS Certified Solutions Architect AWS Identity And Access Management (IAM) AWS Solution Architect Business Continuity And Disaster Recovery Data Access Database Systems Data Encryption Data Infrastructure Data Integrity Data Modeling DevOps Disaster Recovery Elasticsearch Encryption Memcached MongoDB MySQL NoSQL Oracle Databases Performance Tuning Query Optimisation Redis Scalability SQL (Programming Language) Virtual Private Cloud

Summary: The Senior AWS & Multi-Database Engineer role focuses on leveraging extensive expertise in AWS-managed database services and traditional NoSQL platforms to optimize data infrastructure for scalability, performance, and reliability. The ideal candidate will be a strategic problem solver and self-starter, responsible for designing, deploying, and maintaining various database systems. This position requires collaboration with engineering, DevOps, and analytics teams to deliver efficient database solutions. The role also involves leading database migrations and implementing disaster recovery strategies.

Key Responsibilities:

  • Design, deploy, and maintain AWS-managed and on-prem/cloud-hosted databases including Amazon RDS, DynamoDB, ElastiCache, DocumentDB, and standalone Oracle Database environments.
  • Manage RDS clusters, snapshots, and instances, ensuring data integrity, availability, and recovery readiness.
  • Architect, implement, and maintain database monitoring, automation, and scaling strategies using AWS-native and third-party tools.
  • Partner with engineering, DevOps, and analytics teams to deliver secure, high performing, and cost-efficient database solutions.
  • Lead database migrations, upgrades, and disaster recovery planning with minimal downtime.
  • Implement and optimize backup, replication, and sharding strategies for multi-region and high-throughput workloads.
  • Continuously assess emerging technologies and propose data modernization and optimization strategies.

Key Skills:

  • 5-10+ years of experience managing production database systems in AWS and hybrid environments.
  • Deep hands-on experience with AWS services including aws_rds_db_snapshot, aws_dynamodb, aws_rds_instance, aws_elasticache, aws_rds_cluster, aws_docdb_cluster, aws_elasticsearch_domain.
  • Strong operational and tuning experience with Oracle Database and MongoDB.
  • Demonstrated knowledge of SQL and NoSQL data modeling, performance tuning, and query optimization.
  • Experience implementing high availability, replication, and disaster recovery configurations.
  • Skilled in infrastructure-as-code (Terraform, CloudFormation) for provisioning and automation.
  • Familiarity with security best practices including encryption, IAM roles, VPC networking, and data access controls.
  • Excellent communication and documentation skills with a collaborative mindset.

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Title: Senior AWS & Multi-Database Engineer Location: Remote

About the Role
We are seeking a Senior AWS & Multi-Database Engineer with deep expertise across
AWS-managed database services as well as traditional and NoSQL platforms such as
Oracle DB and MongoDB. The ideal candidate is a self-starter, strategic problem solver,
and forward-thinking technologist who thrives on optimizing data infrastructure for scale,
performance, and reliability.

Key Responsibilities

Design, deploy, and maintain AWS-managed and on-prem/cloud-hosted databases
including:
o Amazon RDS (PostgreSQL, MySQL, Aurora, and Oracle engines)
o Amazon DynamoDB
o Amazon ElastiCache (Redis and Memcached)
o Amazon DocumentDB and MongoDB
o Amazon OpenSearch Service (formerly Elasticsearch Service)
o Standalone Oracle Database environments
Manage RDS clusters, snapshots, and instances, ensuring data integrity,
availability, and recovery readiness.
Architect, implement, and maintain database monitoring, automation, and
scaling strategies using AWS-native and third-party tools.
Partner with engineering, DevOps, and analytics teams to deliver secure, high
performing, and cost-efficient database solutions.
Lead database migrations, upgrades, and disaster recovery planning with
minimal downtime.
Implement and optimize backup, replication, and sharding strategies for multi
region and high-throughput workloads.
Continuously assess emerging technologies and propose data modernization and
optimization strategies.

Required Qualifications

5-10+ years of experience managing production database systems in AWS and
hybrid environments.
Deep hands-on experience with AWS services:
o aws_rds_db_snapshot, aws_dynamodb, aws_rds_instance,
aws_elasticache, aws_rds_cluster, aws_docdb_cluster,
aws_elasticsearch_domain
Strong operational and tuning experience with Oracle Database and MongoDB.
Demonstrated knowledge of SQL and NoSQL data modeling, performance tuning,
and query optimization.
Experience implementing high availability, replication, and disaster recovery
configurations.
Skilled in infrastructure-as-code (Terraform, CloudFormation) for provisioning and
automation.
Familiarity with security best practices encryption, IAM roles, VPC networking,
and data access controls.
Excellent communication and documentation skills with a collaborative mindset.
Preferred Qualifications
AWS Certified Database Specialty or AWS Solutions Architect certification.
Experience with MongoDB and Oracle DB

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