Job description

• Deploy and manage applications on Pivotal Cloud Foundry (PCF), ensuring high availability, scalability, and seamless production releases • Develop and optimize MongoDB collections, write maintenance scripts, redesign database schemas, and improve query performance through index optimization. • Build and maintain Apache Kafka (Confluent Kafka) publishers and consumers for asynchronous event-driven communication between distributed systems. • Troubleshoot production issues by analyzing application logs, identifying bottlenecks, performing root cause analysis, and implementing long-term solutions • Develop AI-powered automation solutions using Model Context Protocol (MCP) servers and AI agents to automate internal engineering workflows and reduce manual intervention. • Monitor applications using Splunk, create advanced search queries and dashboards for log analysis, troubleshooting, and production monitoring. • Implement and manage feature flag strategies using Launch Darkly to enable controlled feature rollouts, A/B testing, and safe production deployments • Collaborate with cross-functional teams to design scalable and resilient distributed systems following enterprise architecture standards. • Came up with a design to help the resiliency with the event driven architecture using post processing by triggering jobs with the help of Control-M. • Develop RESTful APIs and integrate with internal and external services to support business-critical financial applications. Minimum Education Requirement: This position requires minimum of Bachelor’s degree in computer science, computer information systems, information technology, or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects

Requirements

Must-haves

Deploy and manage applications on Pivotal Cloud Foundry (PCF), ensuring high availability, scalability, and seamless production releases
Develop and optimize MongoDB collections, write maintenance scripts, redesign database schemas, and improve query performance through index optimization.
Build and maintain Apache Kafka (Confluent Kafka) publishers and consumers for asynchronous event-driven communication between distributed systems.
Troubleshoot production issues by analyzing application logs, identifying bottlenecks, performing root cause analysis, and implementing long-term solutions
Develop AI-powered automation solutions using Model Context Protocol (MCP) servers and AI agents to automate internal engineering workflows and reduce manual intervention.
Monitor applications using Splunk, create advanced search queries and dashboards for log analysis, troubleshooting, and production monitoring.
Implement and manage feature flag strategies using Launch Darkly to enable controlled feature rollouts, A/B testing, and safe production deployments
Collaborate with cross-functional teams to design scalable and resilient distributed systems following enterprise architecture standards.
Came up with a design to help the resiliency with the event driven architecture using post processing by triggering jobs with the help of Control-M.
Develop RESTful APIs and integrate with internal and external services to support business-critical financial applications.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

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