Brillio

Product Manager

• Define the vision, strategy, and roadmap for the AWS Connect platform, aligning with business objectives and customer service goals.
• Develop a phased migration plan, ensuring minimal disruption to operations while maximizing value realization.
• Explore emerging contact center innovations and industry best practices to drive most relevant new experiences for member and agents
• Define key performance indicators (KPIs) and success metrics to measure the impact of modernization efforts and effectiveness of new experiences.
• Define repeatable business components which will deliver standardization across plans but flexibility for LOB specific needs.
• Own prioritization of migration process from legacy telephony systems to AWS Connect, ensuring a smooth transition with minimal impact on customer service operations.
• Work closely with engineering, cloud infrastructure, and operations teams to ensure the successful implementation and optimization of AWS Connect.
• Partner with Customer Service, IT, Compliance, and Security teams to align business requirements, customer needs, and technical feasibility.
• Communicate program progress, risks, and key updates to senior leadership and stakeholders, ensuring alignment with business objectives.
• Identify opportunities to enhance the agent and customer experience by leveraging AWS Connect’s AI/ML, automation, and analytics capabilities.
• Define and implement self-service capabilities, IVR enhancements, and omnichannel communication strategies to improve efficiency.
• Monitor system performance, identify bottlenecks, and continuously optimize the telephony experience post-migration.
• Ensure the migration meets compliance, security, and data privacy requirements, including PCI-DSS and other regulatory standards.
• Proactively identify risks associated with the migration and develop mitigation strategies.
• Implement best practices for call recording, quality monitoring, and data retention in AWS Connect.

Product Owner – Amazon Connect

Cloud Engineer

• Strong Architecture experience
• Azure enterprise architecture (Landing Zone, Identity, Network, Governance).
• Understanding of DB migration, assessment of existing legacy DB workloads
• Strong Documentation framework and practices
• Provide migration plan and provide target architecture designs.
• Provide Bill of Materials for the target architecture.
• Cloud Adoption Framework (CAF).
• Strong stakeholder facilitation & communication.
• Proven experience delivering assessment phases

Azure Architect

Data Engineer

• Design, build, and maintain ETL/ELT pipelines using Synapse or Azure Data Factory.
• Implement data models and optimize storage for Azure Data Lake Storage (ADLS), Azure SQL, and Azure Synapse SQL.
• Write clean, performant PySpark/SQL transformations; manage job orchestration, dependencies, and retries.
• Develop and maintain Azure Functions for lightweight data transformations, event-driven ingestion, and custom pipeline activities.
• Use Azure Logic Apps to build automated workflows for data movement, validations, notifications, and approvals.
• Develop batch pipelines and streaming jobs using Azure Event Hubs / Kafka and Structured Streaming or Azure Stream Analytics.
• Contribute to data pipeline deployments using Azure DevOps (Repos, Pipelines), version control (Git), and environment management.
• Implement data validation, profiling, and monitoring (e.g., ADF/Synapse job monitoring, alerting).
• Apply best practices for RBAC, Key Vault, Managed Identities, and data governance (cataloging, lineage) using Microsoft Purview.
• Produce clear technical documentation and collaborate with BI/ML teams to support use cases.

Azure Data Engineer

Data Scientist

• Translate complex business problems into structured, data- and model-driven narratives. Partner with stakeholders to frame ambiguous problem statements, perform deep exploratory Data Analysis (EDA), Visualizations, Hypothesis A/B Testing/ What-if analysis and scenario modeling, Algorithm development to identify inefficient sectors (DL/UL) by flagging outliers using performance KPIs.
• Communicate statistically sound, model-backed insights that directly influence strategic and operational decisions.
• Apply advanced statistical techniques, classical ML, and modern AI approaches to forecast outcomes and recommend next-best actions.
• Experience in driving initiatives through a rigorous lifecycle—problem formulation → hypothesis generation → EDA → feature engineering → modeling → evaluation → visualization → measurable business impact—ensuring scientific rigor, interpretability, and alignment with business objectives.
• Develop, evaluate, and iterate on analytical, machine learning, and hybrid AI models to uncover patterns, trends, and anomalies, solving complex problems such as churn prediction, revenue optimization, network efficiency, and operational optimization.
• Demonstrate strong hands-on expertise in BigQuery, SQL, and Python to build scalable data pipelines, feature stores, and analytical workflows, ensuring performance, reproducibility, and accuracy on large-scale datasets.
• Ensure consistency and reliability across diverse data sources through strong data validation, monitoring, and governance practices. Maintain trust in analytical and AI-driven outcomes through robust data quality checks, model validation, and ongoing performance monitoring.
• Collaborate with cross-functional teams (data engineering, SRE, platform, and business teams) to operationalize AI-driven insights, ensure reliability, and deliver measurable business impact.
• Drive continuous improvement initiatives by integrating feedback loops, monitoring KPIs on data reliability aligned to enterprise goals.
• Demonstrate analytical mindset and proactive problem-solving abilities.

Senior Data Science Lead

Solutions Engineer

• Architect and oversee the deployment of scalable services using Amazon EKS and transition to AWS Lambda for high throughput microservices.
• Map complex data flows between the portal and various internal/legacy data systems, ensuring reliable data synchronization and high availability.
• Lead the design of the Node.js Backend-for-Frontend (BFF) for seamless frontend integration and high-performance microservices for core business logic.
• Define API contracts (OpenAPI/Swagger), establish coding standards for Go and Node.js, and lead architectural reviews to prevent technical debt.
• Design a robust "Front Door" strategy using AWS API Gateway to manage traffic, enforce security policies, and route requests across the BFF and backend service layers.
• Partner with Product Owners to define roadmaps and provide technical mentorship to Principal Leads and Engineering teams.
• Establish standards for CI/CD pipelines, automated scaling, and deep observability (tracing, logging, and metrics) across the distributed AWS environment.

Senior AEM Solution Architect

Salesforce Developer

• Design and architect scalable Salesforce Health Cloud solutions tailored to healthcare industry requirements, ensuring compliance with regulatory standards
• Lead the end-to-end implementation of Health Cloud features, including Health Cloud Setup, Care Program (Patient Services), and Care Management modules
• Collaborate with stakeholders to gather business requirements, translate them into technical specifications, and deliver high-impact solutions
• Configure and optimize Health Cloud components such as Providers, Member Services, and Care Plans to enhance patient engagement and care coordination
• Integrate Salesforce Health Cloud with third-party healthcare systems, electronic health records (EHR), and external applications using APIs and middleware
• Develop and enforce best practices for data security, privacy, and governance within the Health Cloud environment
• Provide technical leadership and mentorship to development teams, ensuring high-quality solution delivery and adherence to architectural standards
• Troubleshoot complex technical issues, perform root cause analysis, and implement effective solutions to maintain system reliability

Salesforce Architect – Data Cloud, AgentForce

Software Engineer

• Design and develop solutions using Vlocity OmniStudio components:
• - OmniScripts
• - DataRaptors
• - Integration Procedures
• - Vlocity Cards (FlexCards)
• - Calculation Matrices & Procedures
• Develop and customize Salesforce components including:
• - Apex Classes & Triggers
• - Lightning Web Components (LWCs)
• - Visualforce (as required)
• - Flows & Declarative Automation
• Implement and manage Vlocity Data Model, Product Model, and Industry-specific features.
• Integrate Salesforce with external systems through APIs (REST/SOAP).
• Participate in requirement gathering and translate business processes into technical solutions.
• Ensure platform best practices, code quality, reusability, and performance optimization.
• Support SIT/UAT, troubleshoot issues, and optimize system performance.
• Work collaboratively with Admins, Architects, QA, and cross-functional teams.

Salesforce Vlocity Developer

• Define, articulate, and communicate the product vision and roadmap in alignment with business objectives and customer needs.
• Champion the product strategy across stakeholders, ensuring transparency and shared understanding.
• Create, prioritize, and maintain a well-structured product backlog that reflects business priorities, stakeholder input, and market trends.
• Continuously refine backlog items to ensure clarity, feasibility, and alignment with sprint goals.
• Partner with onsite and offshore development teams to ensure smooth coordination, effective communication, and timely delivery of features.
• Work closely with Scrum teams to clarify requirements, prioritize user stories, and proactively resolve blockers.
• Own scope, priorities, and trade-offs during development cycles, balancing business value, technical feasibility, and customer impact.
• Monitor product performance using KPIs and analytics, gather user feedback, and drive iterative improvements.
• Ensure adherence to industry standards, security protocols, and regulatory requirements throughout the product lifecycle.

Product Owner

Frontend Engineer

• Develop and maintain frontend applications using HTML, CSS, JavaScript, TypeScript, VueJS, and NPM
• Implement RESTful web applications, handling client-server architecture for real-time data exchange and secure connections.
• Utilize Git and source control best practices to manage codebases, collaborate on pull requests, and ensure version control integrity.
• Contribute to web-browser extension development to extend VPN functionality directly within users' browsing environments.
• Collaborate with designers using Figma to translate UI/UX designs into high-fidelity, interactive components.

Full Stack Developer, Vue.js, Typescript

Machine Learning Engineer

• Project Manager :
• Build and train agentic AI models for orchestration, validation, and execution workflows
• Develop intelligent agents capable of autonomous decision-making
• Implement and optimize NLP, RL, and ML-driven components
• Collaborate with cross-functional teams to integrate agent workflows into larger systems

Senior Lead AI/ML Engineer

QA Engineer

Senior Lead Quality Engineer

Account Manager

• Establishing and managing the client relationship at all levels
• Establishing and building "trust" and leverage client context by understanding client's overall business goals and culture
• Positioning Brillio as a Strategic IT partner and identifying new avenues for Brillio to partner, implementing and delivering within the account.
• Managing the account P&L & high-level delivery responsibility
• Mapping Brillio’ s capabilities and solutions to client’s requirements.
• Build newer relationships with one of the marquee Fortune 1000 customers.

Engineer

Associate Engineer

Business Intelligence Developer

• Design, develop, and maintain advanced Procurement dashboards and data models in Power BI, ensuring accuracy, scalability, and performance.
• Lead and participate in requirements gathering sessions with Procurement stakeholders, challenging assumptions and proposing best practice solutions.
• Coordinate with Data & Analytics teams and external platform providers to define ETL needs, validate data quality, and ensure end to end alignment of data flows (Workday, AWS/GCP Marketplace, LinkSquares, etc.).
• Build optimized semantic models, including relationships, DAX measures, aggregations, and data transformations.
• Prepare and deliver training materials, documentation, and user enablement to support adoption across the Procurement team.
• Manage UAT cycles, defect resolution, production deployment, and version control for dashboards and data models.
• Contribute proactively to McAfee’s analytical purchasing strategy, proposing improvements, identifying insights, and enhancing data governance and KPIs.

Power BI Specialist

Backend Engineer

• Design and implement robust, scalable, and secure backend services using Java, Spring Boot, and related frameworks.
• Work with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
• Build and consume RESTful and GraphQL APIs.
• Deploy applications on AWS, Azure, or GCP.
• Write unit and integration tests using JUnit, Mockito, or similar frameworks.
• Collaborate with product managers, UX designers, and QA teams.
• Participate in Agile ceremonies (Scrum, Sprint Planning, Retrospectives).