WHAT YOU'LL DO Provide exceptional Level 3 technical support for enterprise AI tools, working closely with internal teams and vendors to ensure smooth operations and rapid problem resolution.
Drive the adoption of productivity tools within the organization by identifying and implementing enhancements that increase efficiency and user satisfaction.
Handle the configuration and integration of SaaS products, ensuring secure and effective deployment across the organization.
Administer and support hands-on changes to our globally deployed CT productivity tools portfolio, focusing on SaaS products with AI-powered capabilities.
Administer and configure SaaS integrations for secure rollout and operations.
Assist in the evaluation and deployment of new tools and technologies, contributing to POC projects that explore innovative solutions.
Identify and support opportunities to implement automation capabilities to reduce manual work and human error.
Adapt to industry direction and evolving customer needs, implementing emerging technologies using Change Management disciplines.
YOU'RE GOOD AT Excelling in SaaS product management, with a strong ability to administer, support, and configure AI-powered SaaS integrations securely and effectively.
Demonstrating expertise in implementing monitoring, alerting, and self-recovery solutions for SaaS tools to ensure optimal performance and reliability.
Skilled in automating processes to reduce manual interventions and errors, showcasing proficiency in scripting and automation tools.
Adaptable and forward-thinking, with the capability to leverage emerging technologies and apply Change Management disciplines effectively.
Proficient in critical thinking and problem-solving, capable of managing complex technical challenges under tight deadlines.
Strong interpersonal and communication skills, able to collaborate effectively with diverse teams and manage stakeholder expectations.
YOU BRING (EXPERIENCE & QUALIFICATIONS) Experience and Skills (Mandatory) A bachelor's degree in computer science, Electronics Engineering, or equivalent.
Proven experience leading and mentoring a development team Experience developing multi-tenant applications and multi-user M:M broadcast/pubsub/event streaming services Experience with multi-user tiered permission/access structures and data sharing permissions Strong proficiency in building frontend( e.g., React, Typescript) Advanced proficiency with backend development concepts and languages (e.g., Python, Java) Expertise in Terraform for infrastructure as code automation Ability to manage containerized deployments using Kubernetes (EKS preferred) Experience with AWS, particularly EKS, serverless, queue, VPC & various databases Knowledge of Design Patterns and Architecture?trade offs, OOP, API design (OpenAPI?specs and? postman or other tools) Knowledge on TDD, unit test,?load test and integration test Solid git experience (version, tag, rebase) Experience and Skills (Nice to have) Previous experience building a user-facing GenAI/LLM software application Previous experience with vectors and embeddings (pgvector, chromadb) Knowledge of LLM RAG/Agent core concepts and fundamentals Experience with Helm, Neo4J, GraphQL for efficient data querying for APIs, and CI/CD tools like Jenkins for automating deployments Other AWS Managed Services (RDS, Batch, Lambda, Fargate, Step Functions, SQS/SNS, etc.)
FastAPI and NextJS experience (if we're still using the latter) Websockets, Server-Side Events, Pub/Sub (RabbitMQ, Kafka, etc.)
YOU'LL WORK WITH BCG's information technology group collaboratively delivers the latest digital technologies that enable our consultants to lead and our business to grow.
For our IT jobs, we seek individuals with expertise in the areas of IT infrastructure, application development, business systems, collaborative and social technologies, information security, and project leadership.