Here is how, through this exciting role, YOU will contribute to BMC's and your own success:
- Partner with DBA and Data Engineering teams to optimize automation for PostgreSQL, Oracle, SQL Server, and cloud-native databases.
- Improve database reliability, availability, and cost efficiency through DevOps practices.
- Lead enterprise adoption of Terraform, Ansible, Jenkins and similar frameworks to manage infrastructure, configuration, and deployments.
- Establish scalable, secure patterns for database infrastructure and supporting services.
- Design and optimize CI/CD workflows for data pipelines and database migrations, integrating schema changes, versioning, and provisioning.
- Implement automation to ensure fast, safe delivery of database and analytics solutions.
- Oversee strategic use of cloud technologies (AWS, Azure, GCP, OCI) for data workloads and automation.
- Provide technical guidance on hybrid and multi-cloud deployments.
- Manage data-centric containerized deployments using Docker, Kubernetes, and Helm.
- Optimize orchestration for stateful workloads and large-scale data clusters.
- Develop and maintain robust observability frameworks to monitor database health, data pipelines, and infrastructure.
- Anticipate issues through metrics, logging, and alerting.
- Implement automation for database security policies, patching, and compliance audits.
- Drive initiatives that reduce manual overhead, cut costs, and improve uptime and performance.
- Ensure DevOps strategies support business objectives, SLAs, and cost-saving initiatives for data operations.
To ensure you’re set up for success, you will bring the following skillset & experience:
- 12+ years of professional experience with a bachelor’s degree OR
- 9+ years of experience with an advanced degree.
- Strong background in database DevOps, data operations, or cloud database automation.
- IaC & Automation: HashiCorp Terraform Professional, Ansible Automation certifications.
- Containerization: Docker Certified Associate, Certified Kubernetes Administrator (CKA).
- DevOps: DevOps Institute certifications (DevOps Foundation, DevSecOps Engineering).
- Technical Proficiency: Advanced knowledge of Terraform, Ansible, CI/CD tooling, Kubernetes, and database automation.
- Database Expertise: Experience supporting PostgreSQL, Oracle, SQL Server, and/or modern data platforms.
- Scripting: Skilled with writing and reading various scripting and coding languages including Bash and Python.
- Pipeline Management: Skilled in building, optimizing, and automating data pipelines for large-scale operations.
- Business Acumen: Aligns DevOps automation with business vision and cost savings.
- Collaboration & Leadership: Works closely with DBAs, Data Engineers, and cross-functional stakeholders.
- Communication: Clearly explains complex technical solutions to both technical and non-technical audiences.
- Problem Solving: Anticipates and mitigates risks to maintain database reliability and performance.
- Adaptability: Stays ahead of evolving data technologies and prepares the team for adoption.
- Mentoring: Provides technical mentorship in DevOps and database automation best practices.
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