AI-Driven Observability: ML-based anomaly detection and pattern recognition.
Intelligent Automation: Develop event-driven workflows and self-healing systems.
Predictive Reliability: Time-series forecasting to anticipate failures.
Software Engineering for Resilience: Build scalable, fault-tolerant cloud-native systems.
Team Enablement: Run AIOps workshops and promote AI maturity.

🎯 Requirements

Languages: Python, Java, Bash, Terraform
Platforms: Azure, Kubernetes, Docker
Tools: Datadog, Prometheus, AppDynamics, ELK, GitHub Actions
ML/AI: MCP framework, AI agents, LangChain, Vector store, RAG
CI/CD: Jenkins, ArgoCD, Spinnaker
Databases: SQL Server, PostgreSQL, MySQL
5+ years' experience in software engineering
Experience with SRE principles and AI/ML in production

🎁 Benefits

Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program

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