Software Engineering Tech Lead (SRE + AI)

Job summary

The Technical Leader role focuses on driving the architectural vision and implementation of an AI-powered Production Intelligence platform. Key responsibilities include defining the technical roadmap for AI-assisted observability, developing proactive anomaly detection workflows, and mentoring engineers while ensuring reliability and scalability in cloud infrastructure using technologies like Kubernetes, Docker, and Python.

Qualifications

• Bachelor’s degree + 8 years of related experience, Master’s + 6 years, or PhD + 3 years in Computer Science, Software Engineering, or a related technical field
• Proven record as a Technical Lead or Lead SRE/Software Engineer delivering distributed, high-availability SaaS platforms at scale
• Strong proficiency in Python, Go, Java, or C++ with experience designing microservices, APIs, and production automation
• Deep experience with Kubernetes, Docker, and container orchestration in large-scale multi-cluster environments
• Proven background in SRE practices: SLI/SLO design, observability platforms (metrics/logs/traces), incident management, and automated RCA

Responsibilities

• Define the technical roadmap and architecture for AI-assisted observability, automated incident response, and self-healing cloud infrastructure
• Design and build production-grade AI agents, MCP tool integrations, and deterministic evaluation pipelines for automated operational decision support
• Architect ingestion and correlation pipelines across distributed logs, metrics, OpenTelemetry traces, change events, and runbooks
• Develop proactive anomaly detection and Human-in-the-Loop (HITL) remediation workflows
• Partner with application and infrastructure teams to define SLIs/SLOs, handle error budgets, and lead deep-dive post-incident reviews (PIRs)
• Mentor senior and mid-level engineers, establish engineering best practices, and drive alignment across global development and operations teams

Skills

Degrees

Relocation