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Engineering Manager, Cloud Infrastructure

Job in Washington, District of Columbia, 20022, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    SRE/Site Reliability, AWS
Salary/Wage Range or Industry Benchmark: 170000 - 210000 USD Yearly USD 170000.00 210000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Lead a senior team of infrastructure engineers, providing technical guidance, career support, and the execution leadership needed to ship high‑impact platform work reliably and on time.
  • Own the technical roadmap for Infrastructure, including two major programs launching in 2026.
  • Ensure Upside's AWS environments are secure, cost‑efficient, and production‑ready.
  • Drive developer experience improvements across CI/CD, observability, and platform tooling.
  • Drive operational excellence across reliability, scalability, and performance.
  • Partner closely with Product Security, Analytics Engineering, and AI Enablement to ensure infrastructure decisions support reliable experimentation, scalable data systems, and safe AI adoption across R&D.
  • Represent Infrastructure in cross‑functional planning and technical forums.
Requirements
  • 5–7 years of hands‑on AWS experience with deep fluency in compute (EC2, Lambda), databases (RDS, DynamoDB), IAM, networking, and secrets management.
  • 2–3 years managing infrastructure, platform, or SRE engineers; ideally a senior team where technical credibility mattered as much as people skills.
  • Strong command of Terraform for IaC and Git Hub Actions or equivalent for deployment pipelines.
  • Background in Dev Ops or site reliability engineering; you understand what it means to operate systems at scale and build cultures of operational excellence.
  • Experience in environments with real security, compliance, or data sensitivity requirements; fintech, regulated industries, or companies handling sensitive consumer or financial data.
  • Comfort owning large‑scale infrastructure programs that span multiple teams and require coordination across R&D, not just execution within your own team.
  • Eagerness to integrate AI and automation into infrastructure workflows; not as a future interest, but as something you're actively thinking about now.
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