Jobs at Brillio

Develop, configure, and customize Salesforce applications using Apex, Lightning Web Components, flows, workflows, and integrations. Perform testing, troubleshoot defects, support deployments, maintain code quality, and collaborate with analysts, QA teams, architects, and stakeholders. Provide technical documentation, knowledge transfer, deployment assistance, and post-production support while identifying improvements aligned with Salesforce capabilities and governance standards.

Leads global AEO and GEO digital optimization projects from planning through delivery. Manages scope, schedules, sprints, releases, risks, budgets, reporting, UAT, and go-live activities. Coordinates business stakeholders, product teams, architects, developers, QA, SEO/GEO specialists, AEM, DevOps, and content teams. Translates business requirements into technical deliverables, manages geographically distributed teams, and drives global digital platform rollouts.

Leads the design, development, deployment, and support of Amazon Connect healthcare contact center solutions. Builds contact flows, IVR, routing, conversational AI, serverless integrations, automation, monitoring, and production support capabilities using AWS services. Partners with healthcare, compliance, QA, operations, and business teams to deliver secure, HIPAA-aligned solutions. Responsibilities include legacy platform migration, incident response, root cause analysis, CI/CD, infrastructure as code, documentation, mentoring, and technical leadership.

Lead the design, development, deployment, and optimization of enterprise Adobe Experience Manager solutions. Build custom components, templates, workflows, integrations, and responsive interfaces; troubleshoot complex CMS issues; improve performance, security, and scalability; collaborate with design, development, and QA teams; mentor junior engineers; and recommend architectural and process improvements.

Build and support AI and DevOps platforms using production-grade Python, LLM orchestration, agent loops, prompt evaluation, CI/CD automation, GitLab pipelines, and REST/OpenAPI services. The role emphasizes infrastructure engineering, deployment environments, security automation, monitoring, source control, containers, Kubernetes, and infrastructure as code.

Develop and support AI platform engineering capabilities using production-grade Python, LLM orchestration frameworks, agent loops, state machines, ReAct patterns, and engineered prompt workflows. Build and manage GitLab CI/CD pipelines, runners, deployments, environments, security automation, and REST/OpenAPI integrations. The role may also involve systems engineering and platform administration across Linux, cloud, data center, server, disaster recovery, and service desk environments.

Develop and support Workday integrations using Workday Studio, EIB, Core Connectors, SOAP and REST APIs, middleware platforms, and file-based integrations. Integrate Workday with enterprise systems including Salesforce, identity platforms, payroll, benefits, financial systems, and data warehouses. Analyze data using SQL, manage version control, document solutions, troubleshoot issues, and collaborate with stakeholders across large-scale environments.

Design, develop, and maintain scalable full-stack applications using React, Java, Node.js, microservices, and cloud technologies. Build RESTful APIs and distributed systems, own features across frontend and backend layers, improve testing, security, observability, and performance, troubleshoot production issues, contribute to CI/CD and cloud infrastructure, mentor engineers, and participate in architecture and code reviews.

Designs, develops, tests, maintains, and supports enterprise-scale mainframe applications using COBOL, JCL, CICS, and DB2. Translates business requirements into technical solutions, performs code reviews, debugging, performance tuning, and production incident resolution. Collaborates with analysts, architects, QA teams, and stakeholders while following coding, security, and SDLC best practices. Mainframe modernization, cloud migration, REST API, and CI/CD experience are preferred.

Designs, configures, and supports Workday Accounting Center and Prism Analytics solutions for finance transformation. Builds data pipelines, datasets, integrations, reports, and dashboards; defines accounting rules and mappings; supports reconciliation, audit, data governance, and troubleshooting. Partners with Finance, Accounting, IT, Data Engineering, and business stakeholders to translate requirements into solutions, automate accounting processes, improve controls, and deliver accurate financial insights.

Design, develop, and maintain scalable Java backend services, microservices, and APIs. Build distributed systems and service communication using REST, Kafka, and gRPC. Optimize databases, CI/CD pipelines, containerized deployments, and Kubernetes orchestration. Lead system design discussions, troubleshoot production issues, tune performance, and mentor junior engineers through reviews and technical guidance.

Leads data science initiatives by translating business challenges into analytical problems, developing statistical models, validating OKRs and performance metrics, wrangling complex datasets, and communicating insights through visualization and storytelling. Collaborates with engineering and product teams to deliver scalable solutions, optimize models, apply MLOps practices, and promote data literacy. The role also involves feature engineering, machine learning, cloud platforms, big data technologies, and emerging agentic AI solutions.

Designs and executes comprehensive testing for Salesforce Agentforce implementations, including functional, regression, integration, UAT, API, data validation, performance, conversational AI, chatbot, and end-to-end testing. Validates AI responses, workflows, integrations, prompts, and production readiness. Creates test cases, test data, and automation suites; manages defects in Jira; and collaborates with cross-functional Agile teams.

Tests Salesforce Agentforce implementations, including AI conversations, prompts, workflows, integrations, data synchronization, security, performance, and business outcomes. Develops test cases, test data, automation suites, and API tests; performs functional, regression, integration, UAT, end-to-end, chatbot, and conversational AI testing. Tracks defects in Jira, collaborates with Agile delivery teams, and supports smoke testing and release validation.

Designs and executes comprehensive test strategies for Salesforce Agentforce implementations, including functional, regression, integration, UAT, API, performance, security, conversational AI, and end-to-end testing. Validates AI responses, prompts, workflows, integrations, data synchronization, and production readiness. Creates test cases, data, and automation suites; tracks defects in Jira; performs release validation; and collaborates with cross-functional Agile teams.

Leads Salesforce CPQ solution design, configuration, customization, and integration. Develops Apex scripts and Lightning Web Components, configures product bundles, pricing rules, approvals, quote templates, and contract renewals, and integrates CPQ with external systems. Collaborates with cross-functional teams, troubleshoots technical issues, optimizes performance and user experience, and enforces development, deployment, and documentation best practices.

Develops Next Best Offer models and advanced machine learning solutions using Python, PySpark, and R. Applies statistical modeling, forecasting, hypothesis testing, and classification techniques to generate actionable insights. Builds, validates, optimizes, and monitors scalable machine learning pipelines using KubeFlow and BentoML. Collaborates with cross-functional teams to translate business needs into data science solutions and improve customer engagement.

Designs and executes testing for Salesforce and Apttus CPQ configurations, including pricing, quoting, contracts, renewals, approvals, integrations, and custom scripts. Collaborates with developers and business analysts to assess requirements and quality risks, performs regression and system testing, documents defects, and supports QA process improvements and automation strategies.

Develops advanced data science and Next Best Offer models using statistical methods, machine learning, and recommendation techniques. Builds, validates, optimizes, and monitors models and scalable ML pipelines using Python, PySpark, R, KubeFlow, and BentoML. Applies regression, forecasting, classification, probabilistic graph models, and experimental design. Collaborates with cross-functional teams to convert business requirements into data-driven solutions.

Designs and implements scalable Salesforce solutions across Sales, Service, and Experience Clouds. Develops Apex, Lightning Web Components, custom agents, and Agentforce integrations; connects Salesforce with Genesys, Data Cloud, and OpenAI APIs. Leads territory planning, sales automation, forecasting, reporting, technical documentation, cross-functional delivery, and mentoring of junior engineers.