Senior Engineering Manager, Observability Engineering

This is a fully remote position, open to applicants in Washington.

📋 Description

• Take charge of the technical roadmap and delivery for the observability team.

• Assess options for building, purchasing, or utilizing open-source solutions while considering reliability, customer demands, and cost-effectiveness.

• Lead, recruit, and develop a high-ownership engineering team.

• Provide guidance on technical decisions through design and code evaluations.

• Manage ingestion, storage, querying, and visualization of high-cardinality telemetry across a multi-tenant, multi-cloud environment.

• Empower Engineering with self-serve observability capabilities.

• Oversee alerting and incident-response tools comprehensively.

• Enhance detection quality, routing, runbooks, and reliability by conducting incident reviews.

• Collaborate with Product and SDK teams on customer-centric metrics, traces, and workflow diagnostics.

• Engage with design-partner customers and integrate their feedback into the roadmap.

• Manage observability unit economics, cardinality budgets, vendor relationships, and tool integration.

• Collaborate with Engineering, Product, Security, and Support to align priorities and achieve shared objectives.

• Articulate technical trade-offs and risks to senior leaders and partners without technical expertise.

⛳️ Requirements

• Demonstrated experience in leading engineering teams that develop and manage observability, monitoring, or telemetry platforms at scale.

• Strong operational practices and accountability for live-site results.

• Over 15 years of experience in software and/or infrastructure engineering.

• At least 7 years of experience in people management.

• Expertise in hiring, leveling, coaching, and managing performance.

• Profound knowledge of distributed systems.

• Experience in managing multi-tenant infrastructure that supports production workloads.

• Bachelor's degree in Computer Science or a related discipline, or equivalent practical experience.

• Proficient in metrics, logs, traces, profiling, and alerting.

• Understanding of cardinality control, data retention and downsampling, query performance, and hot/cold storage tiering.

• Experience with defining SLAs/SLOs, on-call responsibilities, incident management, and conducting postmortems.

• Ability to review design documents and perform code evaluations within a distributed-systems codebase.

• Exceptional communication and cross-functional collaboration skills.

🏝️ Benefits

• Equity.

• Flexible remote work arrangement.

• AI Notetaker interview recording available, with the option to opt out without impacting candidacy.