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Senior Network Reliability Engineer

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Title: Senior Network Reliability Engineer

Location: Plano, TX (On-Site)

Duration: FTE/Full Time

Note : This is full time role only, C2C candidate will not get considered.

In this role, you will:

Drive solid system architecture and guide and mentor well-disciplined code development practices (i.e. Repository procedures for proper code check-out/in);

Manage Safe feature branching strategies and versioning control;

Develop proper work-flow for team code review and deliver well vetted and tested products.

Will oversee/author application testing procedures; SW deployment packaging and release coordination with customers; Monitoring of infrastructure, in/outbound processes, web services, application health; Implement feature tracking, bug fixes.

Define standards that produce enterprise quality software that is robust, scalable, and maintainable for the entire lifecycle of the project and business.

Develop & maintain a catalogue of reliability scripts, tools & libraries that can be leveraged for common instrumentation, automation, and operational needs

Monitoring and analyze network performance, providing automation and orchestration insight for identifying or mitigating network and service-related events

Analyze data to diagnose and identify root causes for network-specific events within our Domain-of-Responsibilities

Act as a Tier 3 escalation for issues from Tier 1 or Tier 2 related to our observability platform

Collaborate with Vendors and internal technical teams to understand and incorporate technical solutions.

Define & implement strategies for network automation to improve operational efficiencies

Manage a (CI/CD) pipeline for network development and testing

Participate in the documentation of application/network flows for various support needs

Provide technical guidance, training and mentorship to members of the NOC

engineering teams we support with our platforms

Develop & improve instrumentation for monitoring and logging the health and availability of services

Participate in Major Incident bridges that involve multiple teams/participants and the resulting formal RCA reports.

The Skills and Experience You Bring to Dish Wireless:

A DISH Wireless Sr Site Reliability Engineer leads the solution to any problem or issue with an automation-first mindset, utilizing a crawl/walk/run approach towards implementation.

Requirements (Must Haves)

Bachelor Degree in Computer Science, IT-related field, or equivalent experience

Require at least 3+ years of scripting experience in Python, JavaScript,

3+ years of event-driven engineering with a strong preference for candidates with experience in AIOps using AI/ML platforms/tools

3+ years' Experience utilizing Source Code Management, CI/CD tools, and Automation tools such as Git/Gitlab, Terraform, Ansible, Chef, Puppet, Jenkins

3+ years' Experience building CI/CD pipelines, version control, and system testing with Gitlab and Jenkins.

3+ Years Experience OS level containerization virtualization/techniques using Docker, Wind River, VMware, Kubernetes and Rancher for microservices deployment.

3+ Years Experience Familiar with cloud platforms such as AWS, Azure, and Google Cloud Platform

5+ years of technical, hands-on experience in one or more of following areas: AWS Cloud Engineering, 5G ORAN, 5G Core, and/or Data and Transport Engineering

A passion for taking ownership of your work and delivering results

Habitual code branching, versioning, feature lifecycle management, testing, packaging and deployments Voracious need to document code and catalog data transformations

Preferred complementary skills for the Job

5+ years of experience using one or more platforms, such as Datadog, Grafana, ServiceNow, SolarWinds, Cisco Vitria/Matrix, Innoeye,

Atlassian Stack: (Crucible, Bitbucket, JIRA, Confluence)

Experience gaining insight from log files with LOKI, Elasticsearch, Prometheus, and Grafana.

Experience implementing systems tracing with services such as Tempo, Jaeger, Open tracing etc.

Intermediate understanding of utilizing RestAPIs, Apache Spark, Kafka

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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