Jobs at Brillio

Testing role that lists Azure Monitoring as the primary required skill. No additional responsibilities or requirements provided; position noted as for testing purposes only.

Lead design, development, and deployment of multi-agent, memory-augmented AI systems using LangGraph and LLM orchestration. Build scalable agent architectures, implement knowledge graphs and vector DBs (Pinecone/Weaviate/FAISS), apply RAG and RLHF/RLAIF, optimize production workflows, run PoCs demonstrating business impact, and mentor AI engineers and data scientists.

Lead the development of mobile test automation, designing frameworks, integrating CI/CD, and performing API and database testing using Agile methodologies.

Lead design, development, and deployment of multi-agent, agentic AI solutions using LangGraph, LLM orchestration, RAG, and RL-based fine-tuning. Build scalable architectures, integrate vector databases and knowledge graphs, run PoCs to demonstrate business impact, and mentor AI engineers and data scientists for production-grade autonomous agents.

Design and execute heterogeneous database migrations to Azure, develop migration scripts (PL/SQL, T-SQL, Python/Bash), create test plans, optimize performance, and document end-to-end migration steps from dev to prod.

Lead migration of applications from Pivotal Cloud Foundry to Azure AKS: assess applications, containerize, configure Kubernetes deployments, automate CI/CD, ensure security/compliance, monitor and document migration, and collaborate with architects and operations.

Design, develop, test, and deploy scalable Salesforce applications using Lightning Web Components. Translate business requirements into technical specs, build integrations with Apex/Visualforce, optimize performance, ensure code quality and security, troubleshoot issues, and participate across the software development lifecycle.

Develop and implement time series forecasting models using statistical, machine learning, and deep learning methods. Clean and process large datasets, validate data, detect anomalies, collaborate with stakeholders, communicate insights, and optimize models for business use in supply chain, demand planning, and inventory.

Lead the architecture and implementation of agentic AI systems: multi-agent orchestration, real-time integrations, STT/NLU ingestion, LLM fine-tuning and RAG pipelines, governance and human-in-the-loop controls, and scalable, low-latency platform design to enable proactive incident triage and automated investigations.

Design and build full‑stack applications using React and Java. Develop microservices with Spring Boot, use Hibernate for persistence, integrate CI/CD and Docker, and work with MySQL/Oracle databases.

Lead design and implementation of end-to-end Salesforce CPQ solutions for complex quote-to-cash programs. Collaborate with clients and internal teams to translate requirements, ensure integrations with Salesforce and external systems, provide technical leadership and mentorship, solve technical challenges, and maintain high ethical and delivery standards.

Lead Data Engineer responsible for advanced AWS Data Engineering focusing on various tools and technologies, including Athena, Spark, DynamoDB, and more.

The job involves managing programs and leading software development teams, focusing on product management specializing in CSPO.

Provide ServiceNow administration, development, and integration services. Act as a SNOW consultant/engineer focusing on systems and storage, delivering implementations, customizations, and client-facing support to optimize IT service management.

Lead research, design, and deployment of multi-agent, agentic AI systems using LangGraph and LLM orchestration. Build memory-augmented agents, implement RAG with vector DBs, apply RLHF/RLAIF, prototype PoCs, scale production architectures, and mentor AI engineers.

Design and architect Azure-based solutions using Azure PaaS, networking, storage, databases, and DevOps. Integrate .NET Core applications, APIs, and CDN, ensure scalability, reliability, and best-practice cloud architecture.

Lead database migration projects to Azure: assess on-prem and cloud transactional databases, design and execute heterogeneous migrations, develop migration scripts and test plans, troubleshoot issues, optimize performance, and document migration processes from dev to production.

Develop and maintain AEM components, templates, and workflows. Implement backend logic using Java and AEM APIs, build front-end with JavaScript/HTML/CSS, integrate with external systems, and debug applications.

Design, build, deploy, and support Amazon Connect IVR contact flows and serverless services. Develop Lambda functions (Node.js/Python), integrate Lex bots, implement secure secrets/config management, ensure resilient failure handling, use DynamoDB for IVR state, and deliver via CI/CD pipelines with documented runbooks and QA collaboration.

Lead testing and automation for Amazon Connect IVR/contact center solutions. Design and execute IVR test strategies, build Cyara automated suites, develop Node.js automation frameworks, validate integrations (Lambda, APIs, Lex), run functional/regression/end-to-end tests, track defects in Jira, and integrate tests into CI/CD pipelines.