A key initiative in our team is the SCI Agentic AI platform: a multi-agent system progressing from real-time analysis and recommendations to fully autonomous, self-learning cloud operations, reducing MTTR, eliminating toil, and lowering TCO.

• Design, develop, and operate scalable cloud-native applications, services, and APIs using Go, Python, and Kubernetes.
• Drive the agentic AI platform workstream: plan, coordinate, and deliver across engineering teams, aligned to our roadmap (Semantic Data Foundation, Anomaly Detection, Root Cause Analysis, Runbook Automation).
• Architect multi-agent systems integrating LLMs, prediction models, knowledge graphs, and operational data for autonomous infrastructure operations.
• Develop and productionize ML/AI capabilities including anomaly detection, root cause analysis, and runbook automation.
• Drive technical designs and contribute to architecture decisions for strategic cloud and AI initiatives.
• Coordinate cross-functional initiatives, managing dependencies, milestones, and technical documentation.
• Improve software quality through automation, CI/CD, observability, and engineering best practices.
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What You Bring

Technical Foundation

• Several years of experience building and operating production-grade software.
• Strong programming skills in Go (preferred) and/or Python.
• Hands-on experience with Kubernetes and cloud-native architectures (microservices, APIs, distributed systems).
• Solid understanding of software architecture, scalability, reliability, security, and performance.
• Experience with CI/CD, automated testing, DevSecOps, and software engineering best practices.