Integration Engineer (MuleSoft Support and Development)

Proven experience in a production/L2–L3 support role for integration, API, or data platforms, including 24x7 rotational on-call coverage.

Strong hands-on troubleshooting skills using SQL for data validation, reconciliation, and issue diagnosis in live environments.

Experience working with AWS S3 — bucket structure, permissions, file lifecycle, and troubleshooting failed or delayed file transfers.

Experience with incident/ticket management tools (Jira, ServiceNow, or similar) and adherence to SLA-driven support processes.

Experience maintaining or using a knowledge base/runbook system to document and resolve recurring production issues.

Experience with monitoring/alerting/observability tools (Anypoint Monitoring, CloudWatch, Splunk, Datadog, New Relic, or similar).

Solid experience supporting and troubleshooting MuleSoft Anypoint Platform (Mule 4.x) applications deployed on CloudHub 2.0.

Working knowledge of API-led connectivity, RAML/OAS specifications, and Anypoint Exchange — sufficient to understand and modify existing designs.

Proficiency in DataWeave 2.0 for troubleshooting and enhancing existing data transformations across JSON, XML, CSV, and EDI payloads.

Experience with MuleSoft connectors (Database, HTTP/HTTPS, SFTP, File, SQS) and diagnosing connector-level failures.

Familiarity with API Manager and Runtime Manager for monitoring policy enforcement, API instance health, and troubleshooting runtime issues.

Exposure to Anypoint Private Space, Runtime Fabric, or hybrid deployments is a plus.

Hands-on experience troubleshooting message queue and event streaming issues — Amazon SQS, Anypoint MQ, Kafka, or JMS/ActiveMQ.

Understanding of messaging patterns: pub/sub, message ordering/deduplication, idempotent processing, and dead-letter queue (DLQ) handling.

Experience diagnosing message backlogs, throughput bottlenecks, and consumer scaling issues in production.

Strong experience in Node.js and TypeScript for backend services, automation scripts, and data-processing utilities.

Strong SQL skills across relational databases for validation, reconciliation, and data quality checks.

Experience with ETL/ELT workflows and multi-stage data pipeline troubleshooting.

Comfortable handling multiple file formats: CSV, TXT, PSV, and other delimited/structured formats.

DevOps, CI/CD & Cloud Deployment

Familiarity with CI/CD pipelines (Bitbucket Pipelines or similar) for build, test, and deployment support.

Working knowledge of Git branching/release strategies and Bitbucket for source control and PR-based reviews.

Experience operating workloads on AWS (S3, and general familiarity with compute, storage, networking, IAM); Azure/GCP experience is a plus.

Understanding of environment strategy (Dev → QA → Stage → Prod) and rollback procedures.

Working knowledge of HIPAA-mandated X12 EDI transaction sets from a support/troubleshooting perspective.

Ability to investigate and resolve EDI transaction failures, acknowledgment mismatches, and companion guide conformance issues.

Working knowledge of HIPAA Privacy and Security Rule requirements: minimum necessary access, audit logging, and secure handling of PHI/PII.

Familiarity with payer/provider data exchange concepts (eligibility, claims, risk adjustment, HEDIS/Stars) is a plus.

Working experience with AI/LLM tools (OpenAI, Anthropic, AWS Bedrock, or similar) for troubleshooting assistance, documentation generation, or automation scripting.

Comfortable using AI coding tools to accelerate scripting/automation work, with the judgment to review and validate AI-generated output before use.

Working knowledge of Python for scripting and automation tasks is a plus.

Hands-on experience performing data analysis using AI/LLM tools — using AI-assisted workflows to explore datasets, summarize trends, and generate insights that support production support and data quality decisions.

Experience building and working with AI-driven bots and conversational/automation agents, including hands-on development with Claude-based bots and tooling for support automation and internal workflows.

Additional Desired Skills

Experience with Flatfile or similar data onboarding platforms.

Familiarity with React + TypeScript for internal tooling/admin UIs is a plus.

Understanding of data security fundamentals — key management, secrets rotation, secure coding practices.

Prior exposure to building or maintaining bots for support, monitoring, or workflow automation is a plus.