Brillio

Consultant

• Design, develop, and maintain Node.js applications running on AWS Lambda
• Build and enhance IVR and self-service workflows using Amazon Connect and Amazon Lex
• Develop integrations between contact center platforms and enterprise applications, databases, CRM systems, and third-party APIs
• Create reusable Lambda services supporting authentication, routing, customer identification, case management, and self-service transactions
• Develop RESTful APIs and event-driven architectures using AWS services
• Implement secure coding practices, including encryption, authentication, authorization, and data protection controls
• Participate in CI/CD pipeline development and deployment automation using GitHub and AWS DevOps services
• Troubleshoot production issues and optimize application performance, scalability, and reliability
• Collaborate with solution architects, contact center engineers, QA teams, and business stakeholders throughout the software development lifecycle
• Develop automated unit, integration, and regression tests for serverless applications
• Create technical documentation, deployment procedures, and operational runbooks

Product Manager

• Lead project planning, execution, and delivery across multiple digital initiatives, ensuring alignment with organizational goals and timelines
• Facilitate Agile ceremonies, including sprint planning, daily stand-ups, backlog grooming, and retrospectives
• Collaborate with stakeholders to create detailed requirements, user stories, and acceptance criteria
• Monitor and report on Agile metrics such as velocity, burn-down charts, and delivery timelines
• Manage estimation processes, resource allocation, and project schedules
• Identify and mitigate project risks, issues, and dependencies
• Ensure effective communication across cross-functional teams and stakeholder engagement
• Drive adoption of Agile best practices and digital acumen within project teams

Senior Product Manager

Full-stack Engineer

• Work with clients to define digital strategy and execution roadmaps
• Design and implement differentiated digital solutions that deliver measurable value
• Lead architecture, design, and delivery of enterprise-grade full-stack applications
• Build scalable frontend experiences using ReactJS, TypeScript, and JavaScript
• Develop backend APIs and microservices using Go, Java, Python, or Node.js
• Architect AWS cloud-native solutions with containers, CI/CD, infrastructure automation, and monitoring
• Own features end to end from design through deployment, production support, and continuous improvement
• Lead technical design discussions, architecture reviews, and code reviews
• Drive engineering excellence in testing, security, observability, and performance
• Implement testing strategies and troubleshoot complex production issues
• Mentor junior and mid-level engineers
• Collaborate with product managers, architects, designers, business stakeholders, and distributed engineering teams
• Communicate technical decisions, risks, and trade-offs
• Lead technical initiatives, guide delivery execution, manage dependencies, and align delivery with business outcomes
• Support sprint commitments, release quality, and production readiness

Lead Full Stack Developer – React, Java, Node, Go, Python, AWS

Program Manager

• Lead the end-to-end lifecycle of complex technical programs from planning and prioritization through execution, launch, and post-implementation review
• Drive business-critical initiatives, including Agent- and Client-facing features, across multi-team, multi-location efforts
• Coordinate engineering, product, infrastructure, security, and business stakeholders
• Identify and resolve cross-functional dependencies, risks, and blockers
• Establish program governance, reporting, and execution standards
• Partner with engineering leadership on quarterly and annual roadmaps
• Track KPIs, operational metrics, and executive dashboards
• Champion Agile delivery and improve developer productivity, delivery efficiency, and engineering velocity
• Translate complex technical concepts into executive-level, data-driven communications

Senior Program Manager

• Design, build, and maintain scalable full-stack applications end to end, from frontend UI to backend services, APIs, and databases
• Build and enhance RESTful APIs, gRPC/Thrift integrations, microservices, and distributed systems supporting business-critical workflows
• Participate in architecture reviews, technical design discussions, and code reviews
• Drive engineering practices across coding standards, automated testing, security, observability, and CI/CD
• Troubleshoot complex production issues and improve reliability, performance, and user experience
• Contribute to cloud infrastructure and deployment automation across AWS-based environments
• Mentor junior and mid-level engineers
• Collaborate with product managers, architects, and designers to deliver high-quality software
• Communicate technical decisions, risks, and trade-offs clearly to stakeholders and team members

Full Stack Engineer, React, Backend, AWS

Architect

• Consultant role
• Work as an Architect supporting software development and Pega development capabilities

Software Engineer

• Design and develop scalable backend services and microservices using Python, ensuring high performance and reliability
• Lead end-to-end development of fullstack applications, integrating React-based frontends with robust Python backends
• Implement and maintain CI/CD pipelines for automated testing, deployment, and delivery of applications
• Collaborate with cross-functional teams to define technical requirements, architecture, and deliverables
• Optimize database performance and data models using PostgreSQL, MongoDB, and Redis
• Manage containerization and orchestration of services using Docker and Kubernetes
• Develop, document, and maintain RESTful and GraphQL APIs
• Mentor and guide junior developers, conduct code reviews, and enforce software engineering best practices

Software Development Lead

Data Engineer

• Design and architect scalable data pipelines and solutions using AWS native services to support complex business requirements
• Develop, implement, and optimize ETL processes leveraging AWS technologies such as EMR, Redshift, Athena, and DMS
• Configure and manage real-time data streaming and ingestion frameworks utilizing Kinesis and Amazon API Gateway
• Monitor, troubleshoot, and enhance data infrastructure performance using CloudWatch and Open Search
• Automate deployment and infrastructure provisioning with CloudFormation and manage schema migrations using SCT
• Lead the implementation and integration of Master Data Management (MDM) solutions using Stibo within enterprise data platforms
• Collaborate with cross-functional teams to integrate data solutions with enterprise applications and analytics platforms
• Ensure data security, quality, and compliance by implementing best practices and leveraging AWS security features
• Lead technical reviews, mentor junior engineers, and drive adoption of emerging data technologies within the organization

Principal Data Engineer

• Lead the architecture, administration, support, maintenance, and optimization of enterprise BI and ETL platforms
• Own the design, implementation, governance, and operational support of Informatica PowerCenter/IICS environments
• Drive platform architecture, capacity planning, performance tuning, scalability, and reliability initiatives
• Lead incident management, problem management, root cause analysis, and continuous service improvement
• Design and implement scalable, secure AWS/Azure cloud solutions for BI and ETL platforms
• Lead on-premise-to-cloud migration initiatives
• Manage SSO, SAML, OAuth, Active Directory, authentication, authorization, and identity management integrations
• Oversee Linux and Windows platform administration, troubleshooting, monitoring, and operational stability
• Drive platform onboarding for new applications and projects
• Partner with security, quality, compliance, architecture, and business teams on governance and regulatory requirements
• Drive cloud cost optimization and billing management initiatives
• Support proofs of concept and adoption of emerging technologies
• Act as Product Owner/Technical Owner for BI and ETL platforms
• Mentor team members and provide technical leadership
• Maintain architecture diagrams, operational procedures, test cases, integration documents, quality documents, and audit artifacts

Senior Data Architect

Data Specialist

• Design and develop scalable ETL/ELT data pipelines on GCP
• Build and optimize data solutions using BigQuery, Dataflow, Dataproc, Cloud Storage, and Pub/Sub
• Develop data processing applications using Python, PySpark, and SQL
• Perform data ingestion, transformation, cleansing, and validation
• Design efficient data models and data warehouse solutions in BigQuery
• Implement batch and real-time data processing pipelines
• Optimize pipeline performance and BigQuery queries for scalability and cost efficiency
• Integrate data from multiple sources into cloud-based data platforms
• Implement data quality, security, monitoring, and governance practices
• Work closely with Data Scientists, Architects, Analysts, and business stakeholders
• Support cloud migration and modernization initiatives

Data Scientist

• Build intelligent, data-driven applications using Snowflake and Cortex capabilities
• Develop and deploy machine learning models
• Integrate AI/ML solutions with enterprise data platforms
• Work on production-grade Data Science and GenAI/Agentic AI solutions
• Leverage Snowflake/Cortex capabilities for Agentic AI applications

• Build intelligent, data-driven applications using Snowflake and Cortex capabilities
• Develop and deploy machine-learning models
• Integrate AI/ML solutions with enterprise data platforms
• Leverage Generative AI, LLMs, RAG, Prompt Engineering, Agentic AI, and Snowflake Cortex AI
• Apply Snowflake, Snowpark, and related data-platform capabilities to production-grade solutions

• Define and communicate product vision, strategy, and roadmap
• Align product objectives with business goals and customer needs
• Analyze market trends, customer feedback, and competitive offerings
• Drive product innovation and continuous improvement initiatives
• Own and prioritize the product backlog
• Create and refine epics, features, user stories, and acceptance criteria
• Prioritize requirements based on business value, customer impact, and technical dependencies
• Ensure backlog readiness for sprint planning and execution
• Gather and understand requirements with business stakeholders
• Translate business needs into clear and actionable user stories
• Define functional and non-functional requirements
• Ensure alignment between business expectations and technical implementation
• Participate in sprint planning, backlog grooming, reviews, and retrospectives
• Collaborate with development and QA teams throughout the delivery lifecycle
• Clarify requirements and remove impediments to delivery
• Support release planning and go-live activities
• Act as the primary liaison between business and technology teams
• Facilitate product workshops, roadmap discussions, and governance meetings
• Communicate product progress, risks, and dependencies to stakeholders
• Manage stakeholder expectations and drive timely decision-making
• Define product KPIs and success metrics
• Monitor product adoption, customer satisfaction, and business outcomes
• Analyze product performance and recommend enhancements
• Drive continuous improvement based on user feedback and analytics

Product Owner

• Execute routine maintenance, validation, and support tasks for Epic healthcare applications under supervision
• Assist with test execution, ticket updates, documentation, and basic application troubleshooting
• Support scheduled upgrades, onboarding activities, and security or access-related requests within provider or payer workflows
• Participate in department build support or payer-platform support activities as assigned
• Document work clearly in Jira, knowledge articles, test evidence, and support records
• Incorporate coaching from experienced professionals into daily tasks and participate in structured onboarding

Senior Engineer

Technical Project Manager

• Lead end-to-end delivery of Agentic AI projects in an Agile environment
• Work with Product Owners, Engineering teams, and business stakeholders to prioritize backlogs and define project roadmaps
• Drive sprint planning, backlog grooming, risk management, and stakeholder communication
• Coordinate cross-functional teams for timely, high-quality project delivery
• Collaborate with engineering teams on AI solution architecture, integrations, and deployment strategies
• Track project milestones and dependencies, ensuring alignment with business objectives
• Establish best practices for AI solution delivery, prompt engineering, testing, and governance
• Define digital strategy and execution roadmaps with clients
• Design and implement differentiated digital solutions delivering measurable value

Consultant

Senior Product Manager

Lead Full Stack Developer – React, Java, Node, Go, Python, AWS

Senior Program Manager

Full Stack Engineer, React, Backend, AWS

Architect

Software Development Lead

Principal Data Engineer

Senior Data Architect

Data Specialist

Data Scientist

Data Scientist

Product Owner

Senior Engineer

AI Technical Project Manager