Jobs at Brillio

Leads complex business transformation initiatives from problem discovery through solution delivery, adoption, and measurable value realization. The role identifies workflow improvements, shapes products and capabilities, evaluates AI and automation opportunities, coordinates cross-functional teams, manages risks and tradeoffs, and establishes success metrics. It requires executive stakeholder influence, technical fluency, business-case development, organizational change leadership, and accountability for scaling, refining, or discontinuing initiatives based on evidence.

Develop and maintain Java and Spring Boot backend applications in a microservices environment. Design REST APIs, troubleshoot production issues, perform root-cause analysis, optimize performance on AWS, manage PostgreSQL persistence, and collaborate with Agile teams. Support CI/CD, containerization, messaging, documentation, and continuous improvement initiatives.

Designs and operates secure, scalable AWS environments and advanced networking architectures. Manages Databricks workspaces, clusters, integrations, and Unity Catalog across multiple environments. Develops Terraform infrastructure code, maintains Jenkins CI/CD pipelines, and automates AWS and Databricks deployments. Implements IAM security controls, monitors infrastructure with CloudWatch and Prometheus, and troubleshoots networking, deployment, and data pipeline issues.

Leads development and support of native iOS, hybrid mobile, web, and backend applications. Designs features, integrates APIs and third-party SDKs, develops automated workflows, performs testing and debugging, improves performance, manages CI/CD pipelines, and provides production escalation support. The role also collaborates with stakeholders, maintains documentation, and may support Android, Intune, Linux, databases, scripting, and Tomcat environments.

Lead the design, development, optimization, and deployment of scalable machine learning pipelines and low-latency inference solutions. Build distributed data-processing and deep-learning workflows for forecasting and personalization using Python, Java, Scala, Spark, TensorFlow, and PyTorch. Implement real-time streaming, RESTful services, containerized deployments, model evaluation, statistical analysis, monitoring, and reproducible ML workflows. Collaborate with agile teams and work onsite at least four days weekly in Bangalore.

Performs functional, regression, integration, system, smoke, sanity, and UAT testing for Salesforce applications. Validates configurations, business processes, data, integrations, permissions, automation, and security models using SOQL and Salesforce tools. Designs test cases, manages defects in Jira or Azure DevOps, supports Agile ceremonies, and collaborates with technical and business stakeholders on release quality and post-production validation.

Build and deploy practical Generative AI and Agentic AI solutions for enterprise clients. Translate ambiguous business challenges into prototypes and production systems using full-stack development, APIs, AI orchestration, RAG, workflow automation, and prompt engineering. Collaborate directly with stakeholders, demonstrate solutions, iterate rapidly, and navigate enterprise governance, security, and compliance requirements.

Leads full-stack .NET development, including scalable APIs, microservices, database integrations, migrations, authentication, infrastructure automation, and containerized deployments. Configures environments, maintains program instances, troubleshoots integrations, and supports project delivery and post-launch operations. Uses Terraform, Docker, AWS ECS, Angular, and related technologies while collaborating with analysts and architects. Preferred experience includes React, CI/CD, Kafka, Kubernetes, and Oracle integration.

Leads the architecture and operationalization of enterprise AI platforms, including MLOps/LLMOps, model lifecycle management, observability, governance, Responsible AI, and GenAI orchestration. Makes platform-level technical decisions, evaluates emerging technologies, guides model and architecture selection, and develops enterprise AI roadmaps. Partners with business, data, technology, and platform teams to deliver scalable production solutions while mentoring cross-functional teams and supporting AI Centers of Excellence.

Provides technical support and business systems analysis for core banking, deposit, and investment systems. Elicits requirements, conducts integration impact analysis, configures banking applications, performs functional testing and data analysis, resolves production issues, and supports system enhancements. Collaborates with stakeholders through design workshops, reports, presentations, and solution recommendations while ensuring compliance with banking standards and operational objectives.

Leads the architecture, development, testing, deployment, and integration of enterprise software, data pipelines, and AI/ML solutions. Builds prototypes, production applications, APIs, and intelligent automation while implementing CI/CD, monitoring, observability, security, explainability, bias mitigation, and privacy-preserving techniques. Collaborates with business, technology, DevOps, and platform stakeholders to deliver scalable solutions and document technical architectures and operational procedures.

Leads executive discovery and business transformation initiatives, identifying AI, GenAI, data analytics, automation, and process optimization opportunities. Develops transformation roadmaps, business cases, ROI models, and AI adoption strategies while translating business needs into practical technology solutions. Applies industry expertise across hospitality, restaurants, casinos, and gaming, collaborates with technical teams, supports implementation planning and change management, and travels to client locations as needed.

Leads service desk operations, incident and change management, and end-user technical support. Troubleshoots hardware, software, network, VPN, email, and access issues; administers accounts and tickets; monitors SLAs and KPIs; documents solutions; collaborates with technical teams; and improves ITSM workflows using ITIL practices.

Leads design, development, configuration, integration, testing, troubleshooting, and performance optimization of enterprise Pega applications. Builds workflow automation, case management, business rules, REST/SOAP integrations, messaging solutions, and database interactions. Collaborates with analysts, architects, and project managers while maintaining documentation, scalability, security, and reliability. Requires strong Pega PRPC expertise, SQL knowledge, integration experience, and at least five years of Pega development experience.

Designs, builds, tests, and maintains secure Azure-based integration and middleware solutions connecting an enterprise GenAI assistant with Salesforce Service Cloud. Develops REST and event-driven APIs using Azure Logic Apps, API Management, App Service, Azure SQL, and Active Directory. Optimizes scalability, performance, reliability, and data integrity; troubleshoots networking, authentication, and data-flow issues; and monitors systems with Azure Monitor and Application Insights. Collaborates with architects and cross-functional teams to deliver robust cloud integrations.

Build cloud-native, full-stack applications using Java, React, and Node.js while integrating AI services, intelligent agents, and automation workflows. Responsibilities include prototyping, testing, debugging, performance optimization, and production delivery. The role supports AWS or Azure development and uses AI-assisted coding tools such as GitHub Copilot, Claude, and Codex. Engineers collaborate with teams to deliver innovative AI-native applications and stay current with emerging technologies.

Leads the design, development, configuration, and deployment of Salesforce CPQ solutions. Responsibilities include multi-dimensional quoting, contract and renewal workflows, product configuration, pricing and approval automation, Apex scripting, quote templates, integrations, and performance optimization. The role collaborates with sales, operations, and IT teams to deliver scalable CPQ capabilities.

Owns the strategy, roadmap, backlog, and lifecycle of Brillio’s ADAM Agentic AI Platform for banking and insurance clients. Identifies AI opportunities, translates business needs into scalable platform capabilities, and partners with architects, data scientists, and engineers on delivery. Ensures solutions meet risk, compliance, explainability, auditability, and responsible AI standards. Drives client engagement, executive communication, adoption, demos, consulting opportunities, and measurable business outcomes.

Lead production Python development for services, reusable libraries, APIs, automation, and data-processing solutions. Build FastAPI and Pydantic APIs with robust schemas, validation, serialization, asynchronous processing, and testing. Design canonical data models, contracts, mappings, versioning, lineage, and quality controls. Process large JSON, YAML, and SQL datasets while applying batching, retries, idempotency, caching, and performance optimization. Own deployment, monitoring, CI/CD, code reviews, and production support.

Build and ship full-stack applications across backend, frontend, cloud, databases, APIs, and containerized infrastructure. Own features independently through sprint and release cycles, design scalable event-driven systems, optimize performance, and maintain strong testing and Git practices. The role also involves using AI tools, developing RAG and LLM-powered features, and exploring agentic or multi-agent architectures.