Engineering services firm building AI-enabled, cloud-native products for clients
BigThinkCode is a Wilmington-based engineering services firm whose job posts center on embedding LLMs into enterprise applications and modernizing legacy systems. Its polyglot stack (TypeScript, Python, Java, Go) plus Kafka, Kubernetes and Pinecone points to client work spanning event-driven microservices and vector-search AI. Hiring is accelerating, senior-weighted and concentrated in engineering roles in India, with Neo4j and Google Cloud Spanner newly entering the stack.
BigThinkCode is a privately held technology services company founded in 2021 and headquartered in Wilmington, Delaware, with 51–200 employees. It delivers product development, platform engineering, prototyping, application modernization, mobile, data engineering, DevOps automation and test engineering for business clients. The firm holds ISO/IEC 27001:2013 certification and has supported clients in architecting platforms for SOC 2 compliance. Delivery runs across AWS, Azure and GCP, and current hiring is based in India.
BigThinkCode works with TypeScript, Node.js, Python, Java and Go, plus Kafka, RabbitMQ, Redis, MongoDB, PostgreSQL, Docker, Kubernetes and Pinecone across AWS, Azure and GCP. It is adopting Neo4j and Google Cloud Spanner.
Yes. Hiring is accelerating and dominated by engineering roles, mostly at senior level, with smaller openings in data, design and HR. Current roles are based in India.
Job posts point to LLM integration into enterprise applications, scalable microservices design, Kubernetes deployments and expanding a test automation framework, alongside bringing AI into legacy systems.
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BigThinkCode's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.