App Dev & Support Engineer II

Conduent•Franklin Township, NJ

1d•$92,092 - $119,600

About The Position

Through our dedicated associates, Conduent delivers mission-critical services and solutions on behalf of Fortune 100 companies and over 500 governments - creating exceptional outcomes for our clients and the millions of people who count on them. You have an opportunity to personally thrive, make a difference and be part of a culture where individuality is noticed and valued every day. Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law. For US applicants: People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation(s) by submitting their request through this form that must be downloaded: [https://downloads.conduent.com/content/usa/en/file/conduent-applicant-adaaa-referral-form.pdf]. Complete the form and then email it as an attachment to [email protected]. You may also click here to access Conduent's ADAAA Accommodation Policy [http://downloads.conduent.com/content/usa/en/document/cdt_adaaa_accommodation_pol.pdf].

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.)
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)
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 Haves

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 k

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)