286 Reliability Engineer jobs in Iron, MN

      New, Posted 3 hours ago
      DiversityJobs
      Design Engineer - Municipal

      Bolton & Menk

      Mountain Iron, MN 55768

      Flexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit
      New, Posted 14 hours ago
      Senior Software Engineer/ Elastic Engineer

      Node.Digital LLC

      Virginia, MN 55792

      ~ 23 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

      • 6+ years of directly relevant software development experience required.
      • Bachelor's degree in Software Engineering, Computer Science or a related discipline is required.
      • At least 5 years of experience with Kubernetes architecture.
      • Knowledge of scripting languages, such as JavaScript, Python, Bash, etc.
      • Active Secret (S) clearance. Must be able to obtain a TS/SCI clearance
      • Strong knowledge of ELK stack.
      • U.S. Citizenship
      • Must be able to obtain DHS Suitability
      • At least 2 years of experience with Elasticsearch Domain Specific Language (DSL).
      • At least 2 years of experience as an Elastic Cloud on Kubernetes (ECK) admin or equivalent role.
      SmartExplore AI is experimental.
      New, Posted 14 hours ago
      Remote VP of Infrastructure and Reliability

      Jobgether

      Virginia, MN 55792

      RemoteHealth Insurance

      • Experience owning cloud infrastructure budgets and cost management.
      • Executive presence for engaging with the C‑suite on risk management.
      • 15+ years of engineering experience, with 7+ years in leading reliability or infrastructure teams.
      • Proven track record managing organizations of 40+ engineers across multiple teams.
      • Demonstrated experience evolving reliability operating models for scalable businesses.
      • Strong understanding of SRE principles, including SLOs and incident management.
      • Technical command of AWS, Terraform (IaC), and modern observability stacks.
      • Expertise in regulated sectors where compliance and data sensitivity are critical.
      • Familiarity with AI/ML workloads and their reliability requirements.
      SmartExplore AI is experimental.

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