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Dev Ops Engineer

mPulse

full-remotemidpermanentdevopsbackend United States 2 days ago via LinkedIn

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Tags

AWSTerraformKubernetesNomadCI/CDJenkinsGitHub ActionsSQL ServerPythonInfrastructure as Code

About the role

DevOps Engineer (Remote)

Join mPulse’s DevOps Platform Engineering team to support an AWS-based production platform with container orchestration, SQL Server workloads, and automation pipelines. You’ll use AI-powered tools to accelerate troubleshooting and scripting while helping modernize CI/CD and infrastructure.

Responsibilities

  • Support and manage AWS infrastructure: EC2, EBS, VPC, S3, RDS
  • Run and troubleshoot containerized workloads on Nomad and/or Kubernetes
  • Maintain and optimize CI/CD pipelines (e.g., GitHub Actions, Jenkins)
  • Work with SQL Server on EC2: monitoring, coordinating patching, and performance troubleshooting
  • Use AI-powered tooling (e.g., GitHub Copilot and observability insights) to automate repetitive tasks
  • Contribute to Infrastructure as Code (preferred: Terraform)
  • Monitor systems, investigate alerts, and assist in incident response
  • Write automation scripts (Python/Bash) for operational workflows
  • Collaborate with engineering teams to improve deployment reliability and system performance
  • Maintain documentation, runbooks, and troubleshooting guides

Required Skills

  • Basic understanding of AWS services (EC2, networking, RDS, storage)
  • Familiarity with Linux and command-line usage
  • Understanding of CI/CD concepts
  • Basic scripting knowledge (Python or Bash)
  • Exposure to Docker
  • Foundational understanding of databases (SQL Server preferred)
  • Interest in using AI tools in engineering workflows
  • Strong troubleshooting mindset and eagerness to learn

Preferred / Nice-to-Have

  • Exposure to Nomad or Kubernetes
  • Familiarity with Terraform / Infrastructure as Code
  • Basic SQL Server performance concepts (e.g., IOPS, storage, backups)
  • Monitoring/observability tools (e.g., Datadog, Prometheus, Grafana, CloudWatch)
  • Git-based workflows and networking fundamentals (VPC, subnets, security groups)
  • Curiosity about applying AI to DevOps (AIOps/automation)
  • Ownership, strong communication, and collaboration

What You’ll Work On

  • High-IOPS, large-scale SQL Server workloads on AWS
  • Running/troubleshooting Nomad/K8s orchestration
  • Improving CI/CD to reduce manual operational overhead
  • Applying AI-assisted DevOps practices for faster debugging and automation
  • Modernizing infrastructure for scalable and resilient architectures

About mPulse

mPulse operates an AWS-based platform and focuses on modern infrastructure and engineering productivity. The role centers on platform/DevOps engineering, supporting cloud infrastructure, container orchestration, and operational automation with an AI-assisted engineering mindset.

Scraped 5/17/2026

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