Platform Operations Support Engineer

Role: Platform Operations Support Engineer

Location: Charlotte, NC (onsite)

Type: Contract

Job Description:

• Backend Engineer with strong Java and microservices experience to support the development, operation, and reliability of production systems. This role is primarily RunOps/DevOps and L4 production and pre-production support with some backend development responsibilities.
• The successful candidate will monitor, triage, troubleshoot, and resolve issues across pre-production and production environments while contributing to backend feature development and platform stability.
• Key Responsibilities
• Develop, enhance, and maintain backend services using Java and microservices architecture.
• Work with MongoDB and Kafka to build reliable, scalable, and event-driven applications.
• Provide L4 support for complex application and platform incidents in pre-production and production environments.
• Monitor system health, investigate alerts, perform root-cause analysis, and drive incident resolution.
• Collaborate with development, QA, infrastructure, and operations teams to improve application reliability and performance.
• Support release activities, production deployments, change management, and post-release validation.
• Use observability and monitoring tools such as Splunk and related operational tooling.
• Leverage agentic tools to improve monitoring, triage, automation, and operational efficiency.
• Identify recurring issues and implement permanent fixes, automation, and preventive measures.
• Create and maintain operational runbooks, incident documentation, and knowledge-base articles.

Required Skills and Experience:

• 5+ years strong hands-on experience with Java backend development.
• 5+ years xperience designing and supporting microservices-based applications.
• Solid knowledge of MongoDB and Apache Kafka.
• Experience in production support, incident management, troubleshooting, and root-cause analysis.
• Familiarity with RunOps/DevOps practices, including monitoring, release support, and operational automation.
• Hands-on experience with Splunk or similar log monitoring and observability platforms.
• Experience using operational automation or agentic AI tools is highly desirable.
• Ability to analyze complex distributed-system issues across application, messaging, database, and infrastructure layers.
• Strong communication skills and the ability to work effectively in a fast-paced support environment.
• Working Requirements
• Availability to provide production coverage for 12-hour on call basis, including coverage aligned with operational and production-support needs.
• Willingness to participate in incident response and provide support for critical production issues as required.