Senior Engineering Manager, Tenant Experience Platform

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Senior Engineering Manager, Tenant Experience Platform | WithMira

Role overview

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An observability platform with self-healing frameworks that turn raw signals into operator action
Tenant controls including rate limits, feature flags, limit-increase workflows, and self-service models
Upgrade tooling that makes GitLab simple, fast, and low-risk to upgrade, including zero-downtime upgrades for cloud-native customers, coordinated upgrades across GitLab's modular services, and OAK (single-node Kubernetes) as a path forward for Omnibus customers
Cross-cutting platform standards for how tenants experience reliability, control, and change

Manage engineering teams focused on observability, tenant controls, and upgrade tooling across the Tenant Experience platform.
Drive a clear Tenant Experience vision across self-managed, Dedicated, and cloud-native deployments, including tradeoffs needed to serve self-managed GitLab customers.
Guide technical and organizational direction across observability infrastructure, self-healing frameworks, rate limits, feature flags, and coordinated upgrade orchestration.
Work closely with engineering managers, staff and principal engineers, and partner teams including Reliability & Production Engineering, GitLab Delivery, and Dedicated.
Coach engineering managers on team health, performance, prioritization, hiring, and organizational design.
Develop actionable roadmaps from broad platform strategy, with clear milestones, owners, and delivery timelines that teams can track.
Own production outcomes that affect tenants and operators, with success measured by upgrade reliability, observability coverage, and time to make self-service controls available.
Improve execution by creating clarity, fostering strong technical discussion, and helping teams make choices as requirements evolve.

Experience managing engineering managers and guiding them in execution, hiring, performance, and team health.
Experience guiding distributed teams through change and ambiguity while building clarity, accountability, and momentum.
Experience building or scaling a function, including shaping teams for evolving scope.
Knowledge of self-managed, on-premises, or bare metal environments and how they differ from cloud-first operating assumptions.
Familiarity with large-scale distributed systems and SaaS services, including containerized and Kubernetes-based delivery models.
Working knowledge of observability practices such as metrics, logs, traces, service level indicators, and service level targets, along with concepts like self-healing systems, rate limiting, and feature-flagged rollouts.
Ability to evaluate technical tradeoffs and contribute informed judgment on platform architecture and cross-team system integration.
Knowledge of emerging engineering practices and developer workflows, including AI-assisted tooling, with the ability to balance productivity, team development, and engineering standards across multiple teams.