Mulesoft Developer

3-5 Years

Save

Early Applicant

Job Description

Key Responsibilities

MuleSoft Integrations

Design and configure Scheduler flows for time-triggered data synchronization
Build time zone-aware, dynamic scheduler jobs using properties-based configuration
Implement chained flows calling multiple downstream systems
Monitor and audit scheduled runs for debugging and traceability

Webhooks & Event-Driven Integrations

Configure public-facing HTTP Listener endpoints with robust security and validations
Handle webhook payloads asynchronously with deduplication and queuing logic
Parse and validate headers, content types, and payload signatures

Data Transformation

Batch Processing

Connector Integrations

Utilize connectors for AWS SQS, MongoDB, PostgreSQL, Airtable, and Slack
Build resilient integrations with logging, retries, and monitoring using Anypoint Monitoring or Datadog
Write custom loggers and error-handling strategies

Technical Environment & Tools

Required Skills & Experience

3+ years of hands-on MuleSoft development experience
Strong experience with Scheduler jobs, batch processing, webhooks, and data transformations
Proficiency in designing and integrating with MongoDB, PostgreSQL, and REST APIs
Strong SQL, JSON, XML transformation skills
Ability to build and scale integrations using MuleSoft connectors

Nice to Have

Experience with MongoDB aggregation pipelines and ETL workflows
Integration experience with Airtable (views, automations, REST API, scripting)
Familiarity with OAuth, rate limiting, and building real-time sync with databases

Work Expectations