Act as a technical authority and advisor across multiple engineering teams
Develop and drive alignment on system design, technical roadmaps, best practices
Design and implement a scalable, multi-tenant deployment architecture that supports easy configuration of agents and business workflows for various customers
Define the communication, state management, and orchestration patterns for multi-agent systems
Mentor senior engineers and help raise the bar on systems thinking across the organization
Own and define system-level SLOs/SLIs for high-traffic, real-time voice and text services, focusing on latency, cost-efficiency, and fault tolerance across the ecosystem
Identify systemic risks and proactively design mitigation strategies
Partner with Security and Compliance teams to ensure systems meet regulatory and security requirements
Lead post-incident analysis and drive systemic improvements
Partner with Product, Customer Engineering, SRE, and TPMs to translate business requirements into system designs
Work with Research to evaluate and productionize cutting-edge ideas in the ML space
Drive complex initiatives that span multiple quarters and involve multiple teams
Communicate complex technical concepts clearly to both technical and non-technical stakeholders

Requirements

10+ years of experience building large-scale production systems
Mastery in at least one cloud platform (AWS, GCP, Azure)
Expertise with container orchestration (Kubernetes)
Expertise with Python and/or Golang
Excellent communication, consensus-building, strategic thinking, and mentorship abilities.
Deep understanding of:
Distributed systems design patterns (e.g., service mesh, event-driven architecture, microservices).
Reliability engineering principles
System performance and capacity planning
Ability to lead through influence rather than authority

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

cloud platformAWSGCPAzureKubernetesPythonGolangdistributed systems design patternsreliability engineeringsystem performance and capacity planning

communicationconsensus-buildingstrategic thinkingmentorshipsystems thinkingleadershipinfluence