App Dev & Support Engineer II

Conduent

About The Position

Description Key Responsibilities Application Database Administration (MySQL & Oracle) Monitor and optimize performance using traditional and AI-assisted tools Perform backup, recovery, and disaster recovery planning Manage security, replication, and high availability Troubleshoot and resolve database issues proactively Containerization & Kubernetes Deploy and manage containerized workloads in Kubernetes Monitor cluster health, scaling, and resource utilization Troubleshoot orchestration and networking issues Manage Helm charts and CI/CD integrations AI-Driven Operations & Automation Leverage Generative AI and machine learning tools to: Automate incident triage and root cause analysis Summarize logs and detect anomalies across systems Generate runbooks, scripts, and knowledge base articles Build and maintain AI-assisted operational workflows (e.g., chatbots for support, ticket summarization) Use AI tools for capacity planning, predictive scaling, and performance forecasting Integrate AI into monitoring platforms (AIOps) for proactive alerting and remediation Apply prompt engineering techniques to optimize AI outputs for operational use cases Evaluate and adopt AI tools responsibly with focus on security, accuracy, and governance Application Server Management (Tomcat) Install, configure, and maintain Apache Tomcat environments Deploy and support Java-based applications Tune JVM performance and optimize application throughput Monitor and troubleshoot production incidents Monitoring, Automation & Reliability Implement monitoring tools (Prometheus, Grafana, ELK) Set up intelligent alerting and anomaly detection (AI-enhanced where possible) Automate tasks using scripting and AI-generated code Participate in incident response and perform root cause analysis Infrastructure & Security Ensure system security, patching, and compliance Support cloud/on-prem environments (AWS, Azure, OCI) Maintain infrastructure documentation and runbooks (AI-assisted documentation encouraged) Required Qualifications 5+ years of experience in production support, Site Reliability Engineering, or DevOps Strong experience with: MySQL and/or Oracle Apache Tomcat Kubernetes Linux/Unix system administration expertise Scripting skills (Bash, Python, etc.) AI & Automation Skills Experience using Generative AI tools (e.g., ChatGPT, GitHub Copilot) for: Troubleshooting Script generation Documentation Understanding of AIOps concepts (AI for IT Operations) Practical AI Use Cases Log analysis and anomaly detection using AI tools AI-assisted ticket triage and prioritization Automated RCA (Root Cause Analysis) using AI insights Intelligent alert correlation and noise reduction Technical AI Skills (Preferred) Basic understanding of: Machine Learning concepts NLP (Natural Language Processing) Experience integrating AI APIs into workflows Familiarity with vector databases or embeddings (nice to have) Preferred Qualifications Cloud experience (AWS, Azure, OCI) CI/CD tools (Jenkins, GitHub Actions) Infrastructure as Code (Terraform, Ansible) Docker and microservices architecture Exposure to AI governance and responsible AI practices Key Skills Strong troubleshooting and analytical thinking Performance tuning and optimization Automation mindset with AI-first approach Communication and collaboration Ability to work in high-pressure production environments Nice to Have Certifications: Kubernetes (CKA/CKAD) Cloud certifications AI/ML certifications k Pay Transparency Laws in some locations require disclosure of compensation and/or benefits-related information. For this position, actual salaries will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. In addition to base pay, this position, based on business need, may be eligible for a bonus or incentive. In addition, Conduent provides a variety of benefits to employees including health insurance coverage, voluntary dental and vision programs, life and disability insurance, a retirement savings plan, paid holidays, and paid time off (PTO) or vacation and/or sick time. The estimated salary range for this role is $92,092 - $119,600.

Requirements

5+ years of experience in production support, Site Reliability Engineering, or DevOps
Strong experience with: MySQL and/or Oracle
Apache Tomcat
Kubernetes
Linux/Unix system administration expertise
Scripting skills (Bash, Python, etc.)
Experience using Generative AI tools (e.g., ChatGPT, GitHub Copilot) for: Troubleshooting
Script generation
Documentation
Understanding of AIOps concepts (AI for IT Operations)
Log analysis and anomaly detection using AI tools
AI-assisted ticket triage and prioritization
Automated RCA (Root Cause Analysis) using AI insights
Intelligent alert correlation and noise reduction
Basic understanding of: Machine Learning concepts
NLP (Natural Language Processing)
Experience integrating AI APIs into workflows

Nice To Haves

Familiarity with vector databases or embeddings
Cloud experience (AWS, Azure, OCI)
CI/CD tools (Jenkins, GitHub Actions)
Infrastructure as Code (Terraform, Ansible)
Docker and microservices architecture
Exposure to AI governance and responsible AI practices
Certifications: Kubernetes (CKA/CKAD)
Cloud certifications
AI/ML certifications

Responsibilities

Application Database Administration (MySQL & Oracle)
Monitor and optimize performance using traditional and AI-assisted tools
Perform backup, recovery, and disaster recovery planning
Manage security, replication, and high availability
Troubleshoot and resolve database issues proactively
Deploy and manage containerized workloads in Kubernetes
Monitor cluster health, scaling, and resource utilization
Troubleshoot orchestration and networking issues
Manage Helm charts and CI/CD integrations
Leverage Generative AI and machine learning tools to: Automate incident triage and root cause analysis
Summarize logs and detect anomalies across systems
Generate runbooks, scripts, and knowledge base articles
Build and maintain AI-assisted operational workflows (e.g., chatbots for support, ticket summarization)
Use AI tools for capacity planning, predictive scaling, and performance forecasting
Integrate AI into monitoring platforms (AIOps) for proactive alerting and remediation
Apply prompt engineering techniques to optimize AI outputs for operational use cases
Evaluate and adopt AI tools responsibly with focus on security, accuracy, and governance
Install, configure, and maintain Apache Tomcat environments
Deploy and support Java-based applications
Tune JVM performance and optimize application throughput
Monitor and troubleshoot production incidents
Implement monitoring tools (Prometheus, Grafana, ELK)
Set up intelligent alerting and anomaly detection (AI-enhanced where possible)
Automate tasks using scripting and AI-generated code
Participate in incident response and perform root cause analysis
Ensure system security, patching, and compliance
Support cloud/on-prem environments (AWS, Azure, OCI)
Maintain infrastructure documentation and runbooks (AI-assisted documentation encouraged)