Spectrum One

• Serve as the primary point of contact for assigned client accounts • Build and maintain strong client relationships and trust • Lead client meetings, status updates, and communications • Manage client expectations and ensure timely follow-ups • Coordinate with internal teams to ensure smooth project delivery • Handle client concerns, escalations, and issue resolution professionally • Maintain organized account documentation and communication records • Identify opportunities for account growth and long-term retention • Communicate confidently with U.S.-based stakeholders and executives

• Design, build, and maintain complex, omnichannel contact flows (Voice, Chat, SMS) within Amazon Connect. • Develop custom serverless applications using AWS Lambda (Node.js/Python) to fetch dynamic routing data, trigger backend processes, and personalize customer interactions. • Integrate Amazon Connect with internal databases, RESTful APIs, and CRM platforms (e.g., Salesforce, Zendesk, ServiceNow). • Leverage AWS AI/ML services—such as Amazon Lex for conversational bots, Amazon Polly for text-to-speech, and Contact Lens for sentiment analysis and transcription. • Lead the migration of legacy contact center platforms (e.g., Avaya, Cisco, Genesys) to Amazon Connect. • Act as the technical lead on contact center projects, providing mentorship and guidance to junior engineers and administrators. • Collaborate with Customer Support and Sales leaders to understand business goals, define metrics, and recommend technical solutions that improve First Contact Resolution (FCR) and Average Handle Time (AHT). • Design and deploy custom reporting and analytics dashboards using Amazon QuickSight, Kinesis, and Athena. • Ensure the contact center architecture follows AWS Well-Architected Framework principles, focusing on high availability, disaster recovery, and data security. • Troubleshoot complex telecommunications, WebRTC, and API integration issues. • Manage telecom resources, including claiming/porting numbers and configuring queue/routing profiles.

• Serve as the primary point of contact for assigned client accounts • Build and maintain strong client relationships and trust • Lead client meetings, status updates, and communications • Manage client expectations and ensure timely follow-ups • Coordinate with internal teams to ensure smooth project delivery • Handle client concerns, escalations, and issue resolution professionally • Maintain organized account documentation and communication records • Identify opportunities for account growth and long-term retention • Communicate confidently with U.S.-based stakeholders and executives

• Develop scalable end-to-end web applications • Build clean APIs and user-facing features • Collaborate with cross-functional teams • Write maintainable, well-documented code • Troubleshoot, test, and optimize performance

• Develop and maintain backend services and APIs. • Collaborate with front-end developers. • Optimize application performance and scalability. • Troubleshoot and debug issues. • Write clean and efficient code.

• Develop and maintain responsive web applications. • Collaborate with designers and backend developers to create seamless user experiences. • Optimize applications for maximum speed and scalability. • Write clean, maintainable, and efficient code. • Troubleshoot and debug issues.

• Lead the rapid creation and iteration of digital products. • Act as the bridge between user needs and the final product, combining the empathy of a Product Manager, the visual eye of a UI/UX Designer, and the technical intuition of a Prompt Engineer. • Utilize AI coding assistants and LLMs to generate functional prototypes and front-end interfaces based on natural language prompts and design concepts. • Identify user needs, map out user journeys, and ensure the product effectively solves real-world problems. • Apply a strong design background to ensure AI-generated interfaces are visually appealing and intuitive. • Continuously refine and troubleshoot prompts to adjust the application's behavior, layout, and logic without traditional codebase maintenance.

• Utilize AI coding assistants and LLMs to generate functional prototypes and front-end interfaces • Act as the voice of the user, identifying user needs and mapping user journeys • Apply strong design background ensuring all AI-generated interfaces are visually appealing • Continuously refine and troubleshoot prompts to adjust application behavior

• Design and build a full suite of Experience, Process, and System APIs following MuleSoft API-led connectivity • Build bi-directional asynchronous integrations using Anypoint MQ • Integrate with on-premise systems that expose no REST or SOAP API via JDBC • Build synchronous aggregation APIs that receive a request from Salesforce • Build a nightly batch job that queries Salesforce via the Bulk API • Set up and maintain an external Azure SQL database as the centralized store for field mappings, routing rules, and other configurations • Implement exponential backoff retry per integration, Dead Letter Queues for terminal failures, and automated alerting for queue health and message backlog • Build Anypoint Monitoring dashboards covering integration health, message volume, failure trends, and retry rates across all flows

Senior MuleSoft Integration Developer Contract | Remote | 14–18 months About the Role We're looking for a Senior MuleSoft Integration Developer to build and own the full integration layer for a government 311 Citizen Relationship Management platform, a Salesforce implementation and deliver the complete MuleSoft workstream from the ground up. This is a technically demanding, independent build role. You'll work closely with our Salesforce developer and engage directly with the client's enterprise system owners to obtain API documentation, schemas, and endpoint access as the engagement progresses. What You'll Be Building • Three-Tier API Architecture: Design and build a full suite of Experience, Process, and System APIs following MuleSoft API-led connectivity. Experience APIs serve as the system-agnostic entry point; Process APIs own all orchestration, routing, and transformation logic; System APIs are thin adapters, one per external system. • Async Event-Driven Integrations: Build bi-directional asynchronous integrations using Anypoint MQ. Outbound flows consume from queues, apply complex per-record-type DataWeave transformations, and deliver to downstream systems. Inbound flows receive events from external systems, transform to Salesforce-compatible format, and write back to Case records via the Salesforce System API. • Legacy System Integration via JDBC: Integrate with on-premise systems that expose no REST or SOAP API. Database-level integration only. Build flows that INSERT into and poll from staging tables via JDBC, handle transaction cleanup, and manage polling intervals through external configuration. • Real-Time Data Aggregation: Build synchronous aggregation APIs that receive a request from Salesforce, fan out parallel queries to multiple external data sources, aggregate all responses into a single composed payload, and return results in the same HTTP call. Source configuration is data-driven, so adding or removing sources requires no code changes. • Scheduled Batch Processing: Build a nightly batch job that queries Salesforce via the Bulk API, transforms output to a target schema (including PII stripping), and loads data into downstream staging tables via JDBC for ETL pickup. • Integration Control and Logging Database: Set up and maintain an external Azure SQL database as the centralized store for field mappings, routing rules, feature flags, polling intervals, and retry configuration. Implement in-memory caching with configurable refresh intervals and an on-demand reload endpoint so configuration changes take effect without redeployment. • Error Handling and Monitoring: Implement exponential backoff retry per integration, Dead Letter Queues for terminal failures, and automated alerting for queue health and message backlog. Build Anypoint Monitoring dashboards covering integration health, message volume, failure trends, and retry rates across all flows. All integrations must support idempotent replay. What We Need From You Required • DataWeave 2.0: You'll spend the majority of your time here. Must be fluent and comfortable building complex, branching transformations at scale. • MuleSoft / Anypoint Platform: 4+ years of hands-on CloudHub production experience. Strong grasp of API-led connectivity, Anypoint MQ, DLQ configuration, and Anypoint Secrets Manager. • JDBC Integration: Experience with direct database-level integration using SQL Server or equivalent: connection pooling, polling patterns, and transactional cleanup. • Salesforce Integration: Hands-on experience with the MuleSoft Salesforce Connector, Bulk API, and REST/SOAP callouts. • REST APIs and OAuth 2.0 / JWT: Comfortable consuming and producing authenticated REST APIs with OAuth 2.0 or JWT. • On-Premise Connectivity: Understanding of how MuleSoft CloudHub connects to on-premises resources via Anypoint VPC and IPsec VPN tunnels. • SQL: Strong SQL skills for working with Azure SQL / SQL Server, covering both control database management and integration staging tables. • Independent delivery: Able to manage your own delivery across multiple parallel integration streams with limited hand-holding. Nice to Have • MuleSoft Certified Developer (Level 1 or 2) or MuleSoft Certified Integration Architect • Experience with Salesforce Public Sector Solutions or Service Cloud • Familiarity with ArcGIS Online REST APIs and spatial / feature layer queries • Azure SQL provisioning and administration • Government or municipal technology implementation experience Work Hours: Willingness and ability to work between 10:00 PM – 2:00 AM Philippine time to align with the US team