Root Cause Analysis: Ability to investigate production failures, identify underlying technical causes, and coordinate appropriate corrective actions.
Production Monitoring: Experience with application monitoring, incident detection, alert management, incident triage, and established operational support procedures.
Hands-On AI Development: Demonstrable practical experience developing AI-based solutions. Knowledge of GenAI, LLMs, RAG architectures, AI agents, or intelligent automation is essential.
Communication and Ownership: Strong analytical, communication, and problem-solving capabilities, with a proactive approach to issue resolution and stakeholder coordination.
What the Client Needs You to Do
The successful candidate will be responsible for maintaining the stability, availability, and performance of enterprise applications while ensuring production incidents are investigated and resolved efficiently. You will combine traditional application support expertise with hands-on AI development capabilities to improve operational processes and introduce intelligent automation into production support activities.
The role requires an individual who can take ownership of technical issues, work effectively with development and infrastructure teams, and identify opportunities to reduce manual effort through AI-enabled solutions. You will contribute to continuous service improvement while ensuring business-critical applications remain reliable and operational.
Key Responsibilities
Provide Production Application Support: Monitor and maintain enterprise applications running in production environments, ensuring operational stability and service continuity.
Troubleshoot Java Applications: Investigate application errors, performance issues, system failures, and technical defects across Java/J2EE-based environments.
Perform SQL and Database Analysis: Develop and execute SQL queries to investigate data-related problems, validate application transactions, and resolve database issues.
Manage Production Incidents: Record, prioritize, track, and resolve incidents, defects, and support requests using JIRA and established service management processes.
Conduct Root Cause Analysis: Identify the underlying causes of recurring incidents and production failures, documenting findings and recommending preventive measures.
Coordinate Technical Resolutions: Work closely with software development, database, infrastructure, and other technical teams to implement fixes and restore affected services.
Monitor Application Health: Perform operational monitoring, review alerts, assess system behavior, and proactively identify potential service disruptions.
Develop AI-Enabled Solutions: Build and implement practical AI applications using technologies such as GenAI, LLMs, RAG, AI agents, and intelligent automation.
Improve Support Operations: Explore opportunities to apply AI to incident classification, troubleshooting assistance, knowledge retrieval, SQL generation, root cause investigation, and repetitive operational tasks.
Drive Continuous Improvement: Identify recurring support challenges, recommend process enhancements, and contribute to automation initiatives that improve resolution times and operational efficiency.
Additional Information
Working Arrangements
The role involves supporting enterprise applications in a production environment.
Flexibility to provide support outside regular business hours is required.
Participation in after-hours support activities may be necessary depending on operational requirements.
Specific working arrangements and support schedules will be communicated during the selection process.
Preferred Qualifications
Candidates with the following additional experience will be particularly well suited:
Experience implementing AI solutions specifically designed to improve application support and IT operations.
Knowledge of Generative AI frameworks, LLM integrations, prompt engineering, and retrieval-based knowledge systems.
Experience developing AI agents or automated workflows for incident investigation and operational troubleshooting.
Ability to leverage AI for intelligent incident categorization, technical documentation retrieval, SQL query assistance, and troubleshooting recommendations.
Familiarity with automation approaches that reduce repetitive manual support activities and improve service delivery.
Professional and Interpersonal Expectations
Strong ownership of assigned production issues, from initial investigation through final resolution.
Ability to prioritize competing incidents and respond effectively in time-sensitive situations.
Clear communication with technical teams and business stakeholders.
Collaborative approach to working across application development, database, and infrastructure functions.
Proactive mindset toward identifying operational risks and implementing long-term improvements.
Willingness to learn and adopt emerging AI technologies to enhance enterprise application support.
W2 employees of Overture Partners who work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), 401(k) starting on day one, a variety of voluntary benefits including life and disability insurance, and sick time if required by law in the worked-in state/locality.
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