Back
Specialized senior AI orchestration platform skills reduce candidate pool despite metro location.
Requires specialized AI runtime, orchestration, SRE and cloud platform experience, limiting cross-industry portability.
Explicit 8+ years requirement plus mandatory AI platform, SRE, Kubernetes and CI/CD experience.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own development and operation of AI agent orchestration runtime including workflows, state management, retries, routing, and resilience for production environments.
Integrate and enhance existing client cloud, security, policy, CI/CD, and observability platforms supporting multi-model, multi-cloud AI agent applications without causing vendor lock-in.
Ensure quality, reliability, observability, and cost controls through CI/CD pipelines, incident management, performance optimization, and platform templates/SDKs for AI platforms.
8+ years experience in platform, DevOps, SRE, cloud, distributed systems, or software engineering roles.
Production experience supporting AI/ML, LLM, agentic, workflow, or high-scale distributed application platforms.
Strong skills in Kubernetes/containers, CI/CD, infrastructure-as-code, configuration management, secrets management, and automated deployment.
Proficiency with AI agent orchestration concepts (state, retries, queues, timeouts), observability tools (OpenTelemetry or equivalent), and scripting/development in Python, Go, Java, TypeScript, or similar.
Experienced platform engineer with a focus on AI/ML runtime orchestration integrating multiple models, clouds, and frameworks without vendor lock-in.
Capable of pragmatic, outcome-driven platform engineering balancing reliability, delivery speed, latency, throughput, cost, and security/compliance needs.
Proficient in observability, incident response, performance tuning, and automating platform delivery via reusable SDKs, pipelines, and templates for AI agent workflows.