Teams at Ciklum

Designs and operates cloud infrastructure, Kubernetes clusters, networking, CI/CD, and observability systems. Improves developer experience through paved-path tooling, leads production incident triage, investigates issues using logs and scripts, and advances scalable infrastructure architecture. Partners with engineering teams on infrastructure decisions, applies AI tools effectively, and communicates technical trade-offs to technical and non-technical stakeholders.

Leads a cross-functional engineering team developing secure, optimized software solutions. Responsibilities include architecture and design, coding, code reviews, client and team communication, process improvement, deployment and configuration in cloud environments, and managing team members’ professional development. The role requires expertise in C#, monolithic and microservice architectures, event-driven systems, communication protocols, SQL and NoSQL databases, container orchestration, and software quality practices.

Design and build production agentic AI systems for enterprise clients. Develop autonomous agents using Glean, OpenAI/GPT Enterprise, and AWS or GCP. Own agent lifecycles from architecture and implementation through deployment, monitoring, evaluation, and iteration. Apply tool calling, RAG, multi-step orchestration, memory, prompt engineering, structured outputs, permission-aware retrieval, and observability to create reliable, secure, maintainable enterprise-scale AI solutions.