Jobs at Case IQ

Manage and optimize multi-cloud infrastructure across Azure and AWS, including containerized services, databases, gateways, monitoring, and serverless systems. Build CI/CD pipelines and infrastructure-as-code automation using Terraform and CDK. Improve platform performance, scalability, observability, security, compliance, and cost efficiency. Collaborate with Development and QA on automated testing and deployments, respond to incidents, and advance AI-enabled operational practices such as AIOps and agentic SDLC workflows.

Lead architecture and technical direction for scalable SaaS platform capabilities. Build distributed services, APIs, event-driven systems, and AI-enabled features using LLMs, retrieval, orchestration, and evaluation pipelines. Establish secure, reliable cloud infrastructure and agentic software development practices. Drive architecture reviews, testing, observability, CI/CD quality, and production readiness while mentoring engineers and leading complex cross-functional initiatives.

Lead architecture and technical direction for scalable SaaS platform capabilities, including APIs, distributed services, data flows, and AI-enabled features. Establish responsible AI and agentic engineering practices, evaluation and guardrail systems, production-readiness standards, secure-by-design controls, testing, CI/CD, observability, and reliability practices. Drive complex cross-functional initiatives, mentor engineers, conduct architecture and code reviews, and shape technical roadmaps and engineering standards.

Lead end-to-end implementations of investigative case management SaaS solutions, serving as the primary customer contact from contract signing through launch and early adoption. Responsibilities include project management, requirements gathering, product configuration, integrations, data migration, user training, risk management, stakeholder communication, and post-launch improvement. The role collaborates with Product, Engineering, and Support while analyzing customer outcomes and refining scalable implementation processes.

Lead end-to-end customer implementations for investigative case management SaaS solutions. Manage concurrent projects, gather requirements, configure products and integrations, oversee data migrations, deliver training, support adoption, identify risks, and coordinate with Product, Engineering, and Support. The role also analyzes implementation outcomes, improves delivery processes, and serves as a trusted customer advisor.