Jobs at Brillio

Design, develop, test, and maintain Java-based microservices and REST APIs. Build scalable backend services using Spring Boot, Kafka, Hibernate, and relational databases. Manage CI/CD pipelines, containerization (Docker), and Kubernetes deployments. Troubleshoot production issues, collaborate with QA, app support and business teams, and follow Agile practices across the software development lifecycle.

Provide contract review and negotiation (NDAs, MSAs, SOWs, vendor agreements); partner with sales, finance, and delivery on deals; assess legal risk versus business outcomes; build templates, clause libraries, and playbooks; support compliance (data privacy, employment, cross-border basics); and improve legal operations for speed and standardization.

Design, build, and optimize scalable Spark/PySpark data pipelines on Databricks. Develop ETL/ELT workflows using AWS EMR, S3, and Hadoop/Hive. Build and maintain data lake and warehouse solutions, integrate APIs, orchestrate workflows with Airflow/Autosys, ensure data quality and governance, and tune performance. Collaborate with analytics, product, and engineering teams.

Lead backend engineering for Java/Spring Boot microservices: design and build scalable REST APIs, integrate databases and messaging (Kafka), support CI/CD and cloud deployments, troubleshoot production, and collaborate in Agile delivery to meet security and performance standards.

Design, build, and productionize internal enterprise AI solutions (LLMs, agentic workflows, RAG, MLOps). Develop Python-based AI systems, integrate with enterprise platforms, ensure governance, observability, and scalability, support adoption and cross-functional partnerships, and prototype emerging AI technologies.

Lead the design and implementation of data engineering solutions on AWS, focusing on scalable data pipelines, data lakes, and warehouses, while mentoring teams and ensuring data quality.

The Sales Director will drive growth for ServiceNow services in the UK, leveraging enterprise relationships, managing the sales cycle, and collaborating with teams to meet client needs.

The role involves designing, implementing, and supporting network solutions while collaborating with teams, troubleshooting issues, and ensuring compliance with standards.

The SailPoint Architect designs and implements enterprise IAM solutions, leads projects, ensures compliance, optimizes IAM systems, and collaborates with cross-functional teams.

The Client Partner will manage relationships with Life Sciences clients, drive sales strategies, ensure customer satisfaction, and oversee account delivery and growth.

The Lead Data Engineer will focus on Azure Data Engineering, utilizing skills in AKS, Event Hub, Cosmos DB, and Azure DevOps to design and implement data solutions.

Lead data science initiatives, develop and evaluate models, translate business problems into actionable insights, and mentor junior analysts. Collaborate with teams to operationalize AI-driven insights for measurable business impact.

The Lead Data Engineer will oversee data engineering responsibilities using AWS technologies and manage data workflows and architectures.

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

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.