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.

• 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

• 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

• 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

• 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.

By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions.