Network/Operations - Dev Ops Engineer - Lead

Indotronix International Corporation•Plano, TX
•Hybrid

About The Position

The DevOps Engineer will bridge software development and operations responsibilities, helping improve reliability, manage production incidents, and use automation to reduce operational overhead while supporting a seamless customer experience. The role is hybrid, three days per week, in Plano, Texas, or Richmond, Virginia. The interview process is virtual. Relocation is welcome. The position is described as a six-month contract to start, with a two-step interview process. The engineer will design, build, and maintain CI/CD pipelines and Jenkins-based build and deployment processes; partner with development teams to automate testing, deployment, and releases; and improve software delivery speed, quality, and reliability. The role also supports site reliability engineering by maintaining observability solutions and improving service objectives, operational metrics, and production system reliability. The position includes assessing production readiness, developing operational documentation, participating in on-call rotations, responding to and coordinating production incidents, and supporting Technology Operations Center (TOC) and major incident management processes. The engineer will conduct root cause analysis, lead post-incident reviews, and contribute code, automation scripts, and engineering solutions as appropriate.

Requirements

  • Experience with CI/CD pipeline development and automation.
  • Hands-on experience with Jenkins.
  • Knowledge of SRE principles, system reliability, and observability practices.
  • Experience supporting on-call production environments.
  • Understanding of incident management processes and operational support models.
  • Software engineering experience and ability to read, understand, and troubleshoot application code.
  • Familiarity with modern development tools and IDEs.
  • Strong problem-solving and communication skills.
  • Must be authorized to work without sponsorship.
  • Candidates must be former Capital One or Discover employees.

Nice To Haves

  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Experience with monitoring and observability tools such as Datadog, Splunk, New Relic, Grafana, Prometheus, or similar tools.
  • Experience automating infrastructure and operational processes.
  • Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
  • Experience supporting highly available, large-scale enterprise applications.
  • Some programming experience and understanding of IDEs.

Responsibilities

  • Design, build, and maintain CI/CD pipelines to streamline software delivery.
  • Administer and enhance Jenkins-based build and deployment processes.
  • Collaborate with development teams to automate testing, deployment, and release activities.
  • Improve software delivery speed, quality, and reliability.
  • Implement and maintain observability solutions, including monitoring, alerting, logging, and dashboards.
  • Define and improve service level objectives (SLOs), service level indicators (SLIs), and operational metrics.
  • Support reliability, availability, and performance across production environments.
  • Participate in operational reviews and identify opportunities to improve resiliency.
  • Assess application and infrastructure readiness for production deployment.
  • Develop operational runbooks, playbooks, and troubleshooting procedures.
  • Participate in on-call rotations and support critical production systems.
  • Reduce operational burden through automation and tooling.
  • Respond to and coordinate resolution of production incidents.
  • Support Technology Operations Center (TOC) and major incident management processes.
  • Conduct root cause analysis and lead post-incident reviews.
  • Identify corrective and preventative actions to improve system stability.
  • Collaborate with software engineers to improve application reliability and operational effectiveness.
  • Troubleshoot issues across the application stack.
  • Contribute code, automation scripts, and engineering solutions where appropriate.
  • Use modern IDEs and development tools to support troubleshooting and software delivery.
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