Lead System Engineering

AT&T•Plano, TX

16h•Onsite

About The Position

The Lead System Engineer will be responsible for proactive functionality launched by reviewing user stories and code changes for site reliability engineers for CLOUD(Azure). This role will support the scrum team to configure alerting, monitoring, dashboarding and impact analysis tools to optimize on-call processes and procedures. Responsibilities include documenting knowledge, conducting post-incident reviews, and driving Mean Time To Repair (MTTR) reduction. The Lead System Engineer will coordinate and guide cloud migration of microservice-based architecture on various cloud environments, and build and implement cloud services for high availability, performance, monitoring, and incident response. This role will also enable and provide infrastructure support for the DevOps team, including on-prem and cloud administration. Additionally, the Lead System Engineer will implement and enhance the automation framework for the delivery of microservices-based architecture applications using Java, J2EE, Jenkins, Maven, Linux, and K8s, on both on-prem and in the cloud. They will work with application developers on a day-to-day basis to collect requirements for the next release, implement monitoring and alerting, create dashboards for specific metrics, set thresholds, and trigger alerts. The role involves performing root cause analysis, brainstorming incident resolutions, and providing corrective and preventative measures. The Lead System Engineer will continuously analyze system performance in production, troubleshoot issues, and proactively identify areas for optimization. They will also work with the team to gather requirements, research, evaluate, design, plan, deploy, and support the ELK stack on Linux, building highly-resilient, high-performance, scalable, and flexible systems. This role requires working with Azure Cloud, Linux systems administration, and scripting automation, as well as designing, analyzing, and troubleshooting large-scale distributed systems and debugging production issues across services and stack levels. Development of tools using Azure Resource Manager (ARM), Terraform, and Ansible is expected, along with working with Git and other source control systems, and Visual Studio Team Services (VSTS). The Lead System Engineer will use tools to create and manage Continuous Integration (CI) and Continuous Delivery (CD) pipelines, work with Microsoft Azure Public Cloud, PowerShell, Python systems automation, RESTful and WebSocket APIs, and the Transmission Control Protocol (TCP) and Internet Protocol (IP) stack, internet routing, and load balancing. Technologies such as Log Analytics, Dynatrace Prometheus, Nagios, and Kafka will be utilized, along with implementing, designing, and deploying Docker, Kubernetes, Serverless, Function, and Lambda.

Requirements

Bachelor’s degree, or foreign equivalent degree, in Applied Computer Science, Electronics Engineering, or Computer Engineering and 5 years of progressive, post-baccalaureate experience in the job offered, or 5 years of progressive, post-baccalaureate experience in a related occupation working with Azure Cloud, Linux systems administration and scripting automation
Designing, analyzing and troubleshooting large-scale distributing systems
Debugging production issues across services and levels of the stack
Developing tools Azure Resource Manager (ARM), Terraform, and Ansible
Working with Git and other source control systems
Working with Visual Studio Team Services (VSTS)
Using tools to create and manage Continuous Integration (CI) and Continuous Delivery (CD) pipelines
Working with Microsoft Azure Public Cloud, PowerShell, Python systems automation, RESTful and WebSocket APIs
Working on Transmission Control Protocol (TCP) and Internet Protocol (IP) stack, internet routing and load balancing
Using technologies including Log Analytics, Dynatrace Prometheus, Nagios, and Kafka
Implementing, designing, deploying Docker, Kubernetes, Serverless, Function and Lambda

Responsibilities

Review user stories and code changes for site reliability engineers for CLOUD(Azure) to proactively functionality launched.
Support scrum team to configure alerting, monitoring, dashboarding and impact analysis tools to optimize on-call processes and procedures.
Document knowledge, conduct post-incident reviews, and drive lower Mean Time To Repair (MTTR) reduction.
Coordinate and guide cloud migration of microservice based architecture on cloud various environments.
Build and implement cloud service for the high availability, performance, monitoring, and incident response.
Enable and provide infrastructure support for DevOps team including on-prem and cloud administration.
Implement and enhance automation framework for delivery of microservices based arch applications using Java, J2EE, Jenkins, Maven, linux, and K8s, on both on-prem and in cloud.
Work with application developers on a day-to-day basis to collect requirements for next release.
Implement monitoring and alerting creating dashboards for specific metrics, set thresholds, and trigger alerts based on those thresholds interpret the alerts and automatically heal system.
Perform root cause analysis brainstorming session on incident resolutions provide corrective and preventative measures to perform, avoid and mitigate future incidents working with DevOps teams.
Continuously analyze system performance in production, troubleshoot consumer and engineering reported issues, and proactively identify areas in need of optimization.
Work with team to gather requirements, research, evaluate, design, plan, deploy, and support the ELK stack on Linux.
Build highly-resilient, high-performance, scalable, and flexible systems.
Work with Azure Cloud, Linux systems administration and scripting automation.
Design, analyze and troubleshoot large-scale distributing systems.
Debug production issues across services and levels of the stack.
Develop tools Azure Resource Manager (ARM), Terraform, and Ansible.
Work with Git and other source control systems.
Work with Visual Studio Team Services (VSTS).
Use tools to create and manage Continuous Integration (CI) and Continuous Delivery (CD) pipelines.
Work with Microsoft Azure Public Cloud, PowerShell, Python systems automation, RESTful and WebSocket APIs.
Work on Transmission Control Protocol (TCP) and Internet Protocol (IP) stack, internet routing and load balancing.
Use technologies including Log Analytics, Dynatrace Prometheus, Nagios, and Kafka.
Implement, design, deploy Docker, Kubernetes, Serverless, Function and Lambda.

Benefits

Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
Paid Parental Leave
Paid Caregiver Leave
Additional sick leave beyond what state and local law require may be available but is unprotected
Adoption Reimbursement
Disability Benefits (short term and long term)
Life and Accidental Death Insurance
Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
Employee Assistance Programs (EAP)
Extensive employee wellness programs
Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone