Related skills
security azure docker aws kubernetes📋 Description
- Implement AI tools, copilots, and workflows from POC to production; API/webhook integrations.
- Design and maintain AWS/Azure infra (IAM, VPCs, security) and optimize costs.
- Prioritize existing tech; design scalable services only when gaps exist.
- Own reliability, observability, and security across AI and cloud services; incident response with Security.
- Instrument solutions; collect adoption metrics and feedback; iterate based on usage and outcomes.
- Mentor cloud/AI engineers; 1:1s, guidance, planning, and sprint prioritization.
🎯 Requirements
- 3+ years software/systems engineering delivering internal tools end-to-end; at least 1 year leading staff.
- Expertise with AWS and Azure core infrastructure, including serverless and data services for production workloads.
- Experience with AWS/Azure cost management: Cost Explorer, Budgets, and tagging.
- Experience building LLM-based applications and enterprise integrations: APIs, MCPs, automation, and workflow orchestration.
- Knowledge of AI patterns (embeddings, retrieval, prompt engineering, evaluation, safe rollout) with enterprise AI platforms like Copilot, OpenAI, or Anthropic APIs.
- Experience with Docker/Kubernetes and operating in regulated or security-conscious environments.
🎁 Benefits
- Competitive Equity Package
- Comprehensive Benefits Plan
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