Senior Software Engineer (Salesforce Developer)

Primary Responsibilities:

• Automation-First M&O Operations
  • Design and implement automation solutions for recurring M&O activities, including monitoring, reporting, validations, and reconciliation processes
  • Eliminate manual operational dependencies by building scalable, reusable automation frameworks
  • Continuously identify opportunities to improve efficiency, accuracy, and SLA adherence through automation
• Intelligent Monitoring & Insights
  • Build automated monitoring solutions and dashboards using non-production data patterns, logs, and metadata
  • Proactively detect anomalies, trends, and potential risks before they impact production
  • Partner with onshore team to enhance observability and improve system health tracking
• Incident Triage, RCA & Resolution
  • Perform detailed triage of incidents to establish root cause using logs, lower environment replication, and data analysis
  • Own end-to-end resolution lifecycle:
    • Root cause identification
    • Code-level fixes
    • Unit and integration testing
    • Deliver shippable, production-ready solutions via onshore deployment model
    • Focus on eliminating repeat issues through permanent fixes and preventative controls
• Salesforce Development & Engineering
  • Develop and maintain Salesforce PNRM solutions using Apex, LWC, APIs, and configurations
  • Support enhancements tied to operational improvements, reliability, and scalability [PNRM SALES...ANGES 2026 | OneNote]
  • Ensure alignment with enterprise SDLC, quality, and compliance standards [PNRM SALES...ANGES 2026 | OneNote]
• AI Enablement in M&O (Strategic Responsibility)
  • Contribute to AI-driven transformation initiatives across M&O and PSM product:
    • Intelligent incident triage and classification
    • RCA acceleration using data patterns
    • Predictive monitoring and anomaly detection
• Offshore Delivery & Collaboration Model
  • Operate effectively in offshore model with restricted production access
  • Work closely with onshore team for validation, deployment, and production verification
  • Maintain solid documentation, knowledge repositories, and transition readiness
• Quality Engineering & Release Readiness
  • Perform thorough testing (unit, integration, regression) for all fixes and enhancements before deployment
  • Ensure all deliverables meet release readiness criteria with minimal dependency on production validation
  • Support continuous improvement in release stability
• Works with less structured, more complex issues
• Serves as a resource to others
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Qualifications - Internal

Required Qualifications:

• 7+ years of experience in Salesforce development
• Solid expertise in:
  • Working experience in Java-based development (core Java, APIs/services) for enterprise integrations
  • Hands-on experience in production support / M&O model
  • Experience delivering code fixes, testing, and production-ready (shippable) solutions
  • Experience with SDLC, change management, and release processes
  • Apex, Lightning Web Components (LWC), Visualforce
  • Salesforce APIs and integrations
  • Salesforce Flows, Process Builder, and Workflow automation
  • Solid debugging, troubleshooting, and root cause analysis (RCA) capabilities

 

Preferred Qualifications:

• Experience in Healthcare / Medicaid / Provider Management systems (PNRM preferred)
• Exposure to automation tools (Python, scripting, reporting automation, etc.)
• Hands-on or working experience in:
  • AI agents creation / agent-based workflows
  • Salesforce Einstein (Einstein Automate, Einstein GPT, or AI-driven workflows)
  • Familiarity with AI/ML or GenAI use cases in operations (nice to have, not mandatory)
  • Experience working in onshore-offshore delivery model with restricted production access
  • Knowledge of monitoring, SLA tracking, and operational reporting

 

Behavioral & Leadership Traits:

• Solid ownership mindset with ability to handle client-critical and SLA-driven systems
• Analytical thinking with focus on data-driven RCA and solutioning
• Ability to work under pressure in high-visibility client environments
• Proactive mindset toward automation and efficiency improvement