Senior Dev Ops Engineers

Senior Lead Database Platform Engineer

This role is focused on leading the architecture, engineering, automation, and modernization of enterprise database platforms across a large-scale environment. The ideal candidate will operate at the intersection of database engineering, platform engineering, cloud infrastructure, security, and automation.

Key Technologies

• Database Engineering
• MongoDB
• Redis
• Graph Databases (Neo4j, GraphDB, Stardog)
• Azure Cloud
• Terraform
• Ansible
• Kubernetes
• CI/CD Pipelines
• Infrastructure as Code (IaC)
• API-Driven Platforms
• Splunk, Grafana, Prometheus, * Own the architecture and engineering strategy for enterprise database platforms
• Lead database engineering efforts across MongoDB, Redis, and Graph database technologies
• Design scalable, resilient, and secure database solutions
• Develop automation frameworks, deployment templates, and standardized provisioning workflows
• Build self-service, API-driven database platforms
• Drive adoption of Terraform, Ansible, CI/CD pipelines, and Infrastructure as Code
• Partner with cloud, infrastructure, security, and operations teams
• Establish architecture standards, governance, and engineering best practices
• Lead performance engineering, resiliency planning, capacity management, and database optimization initiatives
• Enable Kubernetes/operator-based database management solutions

• 7+ years of Database Engineering, Infrastructure Engineering, Platform Engineering, or Cloud Engineering experience
• Strong Azure cloud architecture and engineering background
• Deep Database Engineering experience with MongoDB, Redis, and distributed database platforms
• Terraform and Ansible automation expertise
• Building and maintaining CI/CD pipelines for infrastructure and platform deployments
• Infrastructure as Code (IaC) and Platform Engineering principles
• Designing highly available, scalable, resilient database platforms
• Kubernetes and containerized platform deployments
• Performance tuning, database optimization, sharding, replication, disaster recovery, and backup/recovery strategies
• Hybrid cloud and multi-cloud architecture experience
• API-first and automation-driven platform development, * Financial services or other highly regulated industry experience
• GraphRAG, AI/ML, or knowledge graph exposure
• Experience with observability tools such as Splunk, Grafana, and Prometheus
• Platform Engineering or Internal Developer Platform leadership experience
• Data governance and enterprise data architecture knowledge, * This is a hands-on Architect/Lead-level role for someone who has a strong database engineering foundation and can modernize enterprise database platforms through Azure, Terraform, Ansible, Kubernetes, and CI/CD automation. The ideal candidate will have experience building scalable database services, defining platform standards, and driving automation across complex enterprise environments.