You’ll also gain exposure across cloud engineering, infrastructure as code, automation, and emerging AI technologies while working alongside experienced engineering teams in a stable global organization.
If you’re looking for a role where you can take real ownership, work on technically challenging infrastructure, and make improvements that have a lasting impact, we’d like to hear from you.
#LI-SD2 #LI-Hybrid
Design, implement, support, and maintain NoSQL database infrastructure within AWS, working across technologies such as Apache Cassandra, Apache Solr, Elasticsearch, AWS OpenSearch, DynamoDB, DocumentDB, AWS Redis, and ClickHouse.
Take ownership of NoSQL cluster administration, including planning, installation, upgrades, security patching, data retention, performance tuning, troubleshooting, and ongoing support.
Build and improve automation using Terraform, Python, scripting, and infrastructure-as-code practices.
Explore practical uses of AI technologies to improve productivity, accelerate operational processes, and strengthen incident response.
Contribute to the architecture of highly available, scalable infrastructure supporting customer-facing services.
Partner closely with application development and DevOps teams to test, troubleshoot, and optimize new and existing database-driven applications.
Monitor production, UAT, and other database environments, proactively identifying and resolving issues affecting performance, availability, and scalability.
Support infrastructure and cost optimization initiatives across the NoSQL environment.
Provide technical guidance on NoSQL database technologies and infrastructure, sharing expertise with other DBAs across the global team.
Participate in on-call and priority support outside standard business hours as part of the team’s responsibility for critical 24/7 systems.
At least 4 years of relevant experience administering NoSQL databases and Linux environments.
Strong technical knowledge of NoSQL technologies such as OpenSearch, Elasticsearch, Cassandra, Solr, and Redis.
Hands-on experience with database installation, upgrades, security patching, performance tuning, monitoring, production support, and troubleshooting.
Experience working with Linux and shell scripting.
Experience with Python or another programming language.
Experience building automation using scripting and infrastructure-as-code technologies such as Terraform.
Experience working within cloud environments, ideally AWS.
Experience supporting critical enterprise database applications within a 24/7 operating environment.
Strong analytical and problem-solving skills, with the ability to work through complex technical issues independently.
Clear communication skills and the ability to collaborate effectively with database, development, DevOps, and other engineering teams.
A practical engineering mindset focused on building reliable, maintainable, and appropriately simple solutions.
A bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline.
