Engineer Manager, Cloud Services

Posted 1hrs ago

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Job Description

Engineering Manager owning architecture, delivery, and roadmap for Nexcess Cloud Services. Leading AI-assisted engineering across data protection, security, SSL, email, and CDN/WAF products.

Responsibilities:

  • Own architecture design, delivery, and roadmap for one engineering team
  • Partner with Product to shape the roadmap, make commitments, and deliver predictably
  • Own engineering outcomes for Cloud Services products including data protection, security, SSL, email, EADN, and CDN/WAF
  • Build understanding of customers, architecture, dependencies, integrations, and operational risks
  • Ensure long-term health and evolution of owned products
  • Write specifications, review pull requests, and ship real code changes
  • Run and promote daily use of the AI harness, agentic tooling, specification-first working, automated pull-request review, and reusable skills
  • Scope and estimate roadmap work on a monthly cycle with explicit cut lines
  • Report status honestly and renegotiate dates early when necessary
  • Resolve cross-team engineering dependencies before they block delivery
  • Improve DORA performance by addressing review latency, build time, environments, handoffs, and approval loops
  • Require tests with every change, coverage gating on changed code, and evidence in pull requests
  • Make release go/no-go decisions based on evidence
  • Develop engineers through one-to-ones, growth plans, and direct feedback
  • Own hiring end to end and maintain hiring standards
  • Manage on-call rotation, incident follow-ups, toil reduction, and bus-factor risks

Requirements:

  • 7+ years in software engineering
  • At least one year leading engineers formally or informally
  • Hands-on technical fluency in Perl, PHP, React, and Vue
  • Experience with relational databases (Postgres, MariaDB)
  • Experience with CDN, WAF, and server security
  • Currently hands-on and recently shipped code
  • Ability to review pull requests of AI-generated code and identify issues
  • Real, hands-on AI-assisted engineering with quantifiable impact
  • Evidence of making a team measurably faster
  • Knowledge of DORA numbers or an equivalent, including bottlenecks and improvements made
  • Experience delivering and modernizing software to committed dates
  • Experience with collaborative scoping and data-driven forecasting
  • Experience operating a production on-call rotation
  • Experience owning hiring end to end and holding a hiring bar
  • Experience leading engineers across time zones
  • Experience in managed hosting, cloud, or another high-availability service business
  • Ability to work in a highly stressful environment with varied challenges and deadlines

Benefits:

  • Works in a traditional climate controlled office environment or from home
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties
  • Equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic
  • At-will employment