Required Experience: TypeScript, Node.js, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB,
MySQL, Redis, MCP, Python, Pandas, Jupyter notebooks
What We re Looking For
10+ years of extensive professional experience designing and maintaining CI/CD pipelines,
infrastructure-as-code (Terraform), Kubernetes deployments, and cloud networking, with the
expectation of personally implementing and debugging these systems rather than delegating them
Proven track record of owning end-to-end technical delivery of complex middleware platforms in
large-scale enterprise environments, including architecture, implementation, rollout, and
post-deployment stabilization under real production load
Deep hands-on expertise across backend engineering and cloud-native infrastructure, including
designing, deploying, and operating production systems at scale, handling failure modes, incident
response, performance bottlenecks, and live customer-impacting issues
Demonstrated ability to act as the primary technical owner in ambiguous, high-stakes environments,
making architectural and operational decisions independently and being accountable for outcomes in
live enterprise systems especially when deploying live to enterprise systems
A builder s mindset with bias for action, creativity under pressure, and an obsession with making
things work in the real world
Degree in Computer Science, Engineering, or related technical field
Strong plus: Hands-on experience designing and deploying AI/LLM-powered production systems,
including prompt orchestration, agent workflows, tool calling, vector databases, latency/cost
optimization, and operational monitoring
High-Stakes Communication: Exceptional verbal and written communication skills with the capacity
to clearly articulate complex architectural decisions, system roadmaps, and production incident
status updates to both highly technical teams and non-technical client executives.