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Senior DevOps​/Platform Engineer Lundi

Job in Vienna, Fairfax County, Virginia, 22184, USA
Listing for: Madfish
Full Time position
Listed on 2026-05-13
Job specializations:
  • Software Development
    Cloud Engineer - Software, DevOps, AI Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Senior DevOps/Platform Engineer Lundi $

We are working with a forward-thinking startup that puts its products first in finding an experienced Senior Dev Ops/Platform Engineer to help establish and grow the platform that their product teams are building upon. This is a highly hands-on role; we’re looking for someone who enjoys solving real production challenges, working close to the code, and continuously improving the developer experience across the engineering organization.

The position involves a lot of platform engineering, infrastructure reliability, and product development. This is an amazing fit for someone who loves fast-paced startup culture, craves ownership, and has a say in how products are developed.

What you’ll do:
  • Design, build, and operate scalable cloud infrastructure on AWS
  • Improve and maintain CI/CD pipelines, developer tooling, and deployment workflows
  • Own observability across the platform: logging, metrics, tracing, dashboards, and alerting
  • Partner closely with product engineers to improve developer productivity and production visibility
  • Drive infrastructure and architectural decisions with a pragmatic startup mindset
  • Continuously improve system reliability, performance, and operational efficiency
  • Explore and implement practical AI tooling within engineering workflows
What we’re looking for:
  • Strong hands‑on experience with AWS infrastructure and production systems
  • Deep understanding of networking, compute, containers, and orchestration
  • Solid backend engineering background and experience shipping production software
  • Experience building and operating observability systems for distributed applications
  • Proven ability to debug complex production issues and improve system reliability
  • Experience working in fast‑paced startup environments
  • Strong ownership mindset and ability to operate autonomously
  • Daily hands‑on coding and infrastructure work
  • Experience using AI tools in software engineering workflows
Nice to have:
  • Experience building internal developer platforms
  • Exposure to ML/AI infrastructure or GPU workloads
  • Open‑source contributions or experience with observability tooling
Why this opportunity:
  • High‑impact role with significant ownership and autonomy
  • Opportunity to shape platform engineering from the ground up
  • Startup environment where your work directly influences product velocity and company growth
  • Collaborative engineering culture focused on pragmatism, speed, and quality
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Position Requirements
10+ Years work experience
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