Jobs at dotSolved System Inc.

Develop and maintain scalable Salesforce applications using Apex, triggers, classes, asynchronous Apex, and Lightning Web Components. Implement and customize Salesforce Sales Cloud functionality, integrations through REST and SOAP APIs, data models, security, workflows, and automation. Translate business requirements into technical solutions, troubleshoot and optimize performance, follow Salesforce development standards, and collaborate with stakeholders, architects, QA teams, and developers.

Develop and support Amazon Connect contact center solutions integrated with Salesforce. Build contact flows, IVR, queues, routing profiles, Lex bots, Contact Lens analytics, and voice or chat routing. Create secure serverless integrations using AWS services, monitor systems, automate infrastructure with IaC tools, troubleshoot production incidents, and optimize performance.

Develop and maintain Salesforce-based clinical trial management solutions using Apex, Lightning Web Components, Visualforce, SOQL, integrations, and Salesforce configuration. Support Cloudbyz CTMS or Veeva Vault Clinical implementations, clinical trial workflows, system integrations, testing, deployments, debugging, data integrity, security, and production support. Collaborate with consultants, analysts, QA teams, and clinical operations stakeholders while following clinical research compliance requirements.

Test Salesforce Data Cloud implementations, Agentforce AI agents, CRM integrations, data pipelines, APIs, security controls, and automated business processes. Develop test strategies, plans, scenarios, and cases; execute functional, regression, integration, system, and UAT testing; validate data quality, agent responses, guardrails, and escalation flows; manage defects and QA documentation; and support release and production validation.

Leads daily data platform operations, including support queue management, ticket prioritization, incident escalation, SLA monitoring, root-cause analysis, stakeholder communication, runbook development, governance support, and operational reporting. The role requires production support experience and familiarity with JIRA, Snowflake, Power BI, Qlik, data warehousing, incident management, and service delivery.

Provides L1/L2 operational support for enterprise data platforms by managing JIRA queues, triaging requests, handling access provisioning, tracking incidents, coordinating issue resolution, maintaining SOPs and knowledge articles, documenting systems, and reporting operational metrics. Supports Snowflake, Power BI, and Qlik environments while participating in incident escalation and stakeholder communications during overlapping US business hours.

Manage Record to Report activities, including month-end close, journal entry preparation and review, chart of accounts classification, general ledger accounting, and balance sheet reconciliations. Analyze large datasets in Excel and Google Sheets, investigate reconciling items, resolve accounting issues, coordinate with stakeholders, guide team members, and deliver accurate work within quality and turnaround-time expectations.

Lead NetSuite financial functional implementations, support, configuration, customization, integrations, data migration, and business-process alignment. Configure finance modules including PTP, OTC, RTR, Advanced Accounting, Advanced Revenue Management, Multi-Book, Fixed Assets, electronic bill payment, forecasting, budgeting, and SuiteProjects. Conduct gap analysis, develop complex saved searches, coordinate technical teams, manage delivery quality, and prepare testing plans for native and customized NetSuite processes.

Own the Salesforce product experience for commercial and medical field teams. Translate cross-functional business needs into platform capabilities, requirements, roadmaps, acceptance criteria, and release plans. Manage prioritization, UAT, deployment readiness, production support, integrations, compliance gates, stakeholder alignment, vendor coordination, training, and go-live activities across Sales Cloud, Marketing Cloud, Service Cloud, and connected enterprise systems.

Develop and support Salesforce applications using Apex, Lightning Web Components, Visualforce, SOQL/SOSL, and Salesforce configuration features. Build custom functionality, integrations, asynchronous processes, and optimized code within governor limits. Participate in testing, debugging, deployments, production support, code reviews, documentation, and requirement analysis with administrators, consultants, developers, and business stakeholders.

Build and operate production AI/ML systems, including LLM applications, RAG pipelines, automated model training, APIs, multimodal data pipelines, and MLOps workflows. Deploy and monitor solutions on AWS using SageMaker, Lambda, S3, Glue, EKS, and Bedrock. Implement responsible AI guardrails, data governance, security, CI/CD, model versioning, performance monitoring, and retraining processes.

Provide L2/L3 support and administration for IBM Content Manager, IBM Case Manager, KwikWork, and related ECM platforms. Configure and troubleshoot IBM WebSphere Application Server, execute database queries, and diagnose document management and workflow issues across Windows Server and Linux/Unix environments. Support enterprise migrations, platform upgrades, production issues, and IBM FileNet P8, Content Navigator, or Business Automation Workflow tools.

Design, develop, test, deploy, and support enterprise integrations using Workato. Build recipes, workflows, APIs, connectors, and data transformations across SaaS, cloud, database, and enterprise systems. Monitor and troubleshoot production integrations, implement error handling and retries, optimize performance and scalability, document solutions, and collaborate with analysts, architects, developers, and application teams while following security and release-management practices.

Design and build enterprise Salesforce solutions across Sales, Service and Experience Clouds using Apex, LWC and Visualforce. Implement AI-driven features with Einstein, Einstein GPT and Data Cloud, integrate external ML services, create prompt-driven Flows, implement Platform Events and CI/CD, maintain/security-govern solutions, write bulkified unit tests, and support field service integrations (Dispatch.me).