Database Platform Engineer

Managing vulnerability remediation, designing and implementing robust patching strategy with end to end automated solutions Designing, deploying, and maintaining databases on containers on Kubernetes / OpenShift platforms Implementing highly resilient, secure, scalable and performant architectures in Hybrid cloud environments Sustaining ongoing compliance to banks standards including Identity Access Management, Data protection and Security baselines Collaborating with cross-functional teams to deliver secure, resilient, and production-ready infrastructure platforms Contributing to CI/CD pipelines, infrastructure automation, and operational best practices Participating in Agile ceremonies and supporting iterative, high-quality software delivery

Do you have experience in DB2?, Strong hands-on experience in DB2 is MUST Experience with databases like Oracle, Exadata, PostgreSQL, CockroachDB, Redis is a plus. Working knowledge of managing databases on containers with good understanding of container concepts, including scheduling, networking, storage, configuration, and secrets management Experience operating infrastructure services and database workloads in Cloud (Azure/AWS/GCP) Working knowledge of infrastructure-as-code (Terraform) and automated deployment approaches. Proficiency in Python working with APIs for developing and operationalizing AI-driven applications including agent designs Experience working in large-scale enterprise environments with strong requirements for security, reliability, and compliance Familiarity with CI/CD pipelines and DevOps practices for containerized applications Experience contributing within Agile frameworks (Scrum, Kanban, or SAFe) Strong problem-solving skills and ability to troubleshoot complex platform issues Clear, concise communication with technical and non-technical stakeholders Ability to work effectively across engineering, infrastructure, security, and application teams Experience operating in regulated or highly secure environments. Exposure to observability tools (logging, metrics, tracing) for distributed and AI-driven systems. Experience supporting multi-tenant platforms at scale.