Integration Support Analyst ADF MuleSoft
Listed on 2026-10-07
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IT/Tech
IT Support
Role Description
Integration Support Analyst ADF Mule Soft
Role DescriptionIntegration Support Analyst ADF Mule Soft
Bartlesville,Oklahoma onsite
Role SummaryThe Integration Support Analyst is responsible for monitoring supporting troubleshooting and maintaining enterprise integration and data pipelines built using Azure Data Factory ADF and Mule Soft The role focuses on ensuring platform stability incident management data availability performance optimization and production support across business critical integrations
Key Responsibilities- Provide L2L3 production support for ADF pipelines Mule Soft APIs and integrations
- Monitor daily batch jobs data loads API executions and integration workflows
- Investigate and resolve incidents service requests and job failures within SLA timelines
- Perform root cause analysis RCA and implement preventive measures for recurring issues
- Support deployment release management and production migrations
- Monitor platform health capacity performance and integration runtime environments
- Coordinate with infrastructure application database and business teams for issue resolution
- Maintain technical documentation SOPs knowledge repositories and operational dashboards
- Support API governance security certificate renewals and access management activities
- Azure Data Factory ADF
- Pipelines Activities Datasets Linked Services
- Integration Runtime Self hosted Azure IR
- Trigger Management
- Copy Activity Data Movement
- Monitoring Troubleshooting
- Error Handling and Logging
- Performance Optimization
- Mule Soft
- Anypoint Platform
- APIled Connectivity
- RESTSOAP APIs
- Mule 4 Development
- API Manager
- Runtime Manager
- Data Weave
- Anypoint Studio
- API Monitoring and Support
- SQL and Database Troubleshooting
- Azure Cloud Fundamentals
- Linux Unix basics
- ITIL Incident Change Management
- Monitoring Tools Azure Monitor Dynatrace Splunk App Insights
- Service Now Ticketing
- Shell Python scripting for automation
- 58 years overall IT experience
- 3 years in Azure Data Factory support development
- 2 years in Mule Soft supportintegration projects
- Exposure to production support and incident management environments
- Azure Databricks
- Snowflake
- Azure Dev Ops
- CICD Pipelines
- Kafka Event driven Integration
- API Security and OAuth
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):
Benefits And Perks- Comprehensive Medical Plan Covering Medical, Dental, Vision
- Short Term and Long-Term Disability Coverage
- 401(k) Plan with Company match
- Life Insurance
- Vacation Time, Sick Leave, Paid Holidays
- Paid Paternity and Maternity Leave
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
DisclaimerThe compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
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