Duties: Assigned to implement highly complex solutions that application teams can utilize daily to ensure that the delivery and operations of applications are successful. Design and implement different features like authentication, authorization, encryption, backup, recovery, etc., integrated to LGW. Work in Agile scrum teams to communicate the status and effectively communicating to the team and leadership. Perform development, unit testing, functional testing, and performance testing for both the Kong-based LGW platform and Java- and Python-based supporting microservices. Participate in code reviews to ensure code quality and broad awareness across the team. Manage Azure subscriptions and resources. Analyze production and non-production issues to ensure availability and reliability and to resolve client issues. Analyze and implement solutions for service discovery and service mesh open source components. Apply Understanding of Lightweight Gateway and apply the ability to implement enhancements to meet client needs in a timely manner. Apply the understanding of the CDP/Runtime, CDP/Pipeline or similar platforms, including the underlying technologies (Kubernetes, Docker, Jenkins, Camunda, GRM, DME, AAF, Prometheus, Grafana, Elastic, Kibana, Logstash) and integrations (Pipeline, AJSC, ANSC, APSC). Utilize nginx gateway. Configure, deploy, and monitor nginx-based solutions. Utilize programming languages including at least one compiled language (Java, C++) and at least one scripting language (Perl, Python). Use Lua and OpenResty. Understand container technologies such as Docker and Kubernetes. Use Cloud-based experience (Microsoft Azure) including container services and CI/CD (Azure Pipelines). Manage source code management. Use at least one related tool such as git or svn

Requirements: Requires a Bachelor’s degree, or foreign equivalent degree in Computer Engineering, Computer Science, or Electrical Engineering and 3 Years of experience in the job offered or 3 Years of experience in a related occupation analyzing and implementing solutions for service discovery and service mesh open source components; utilizing nginx gateway; configuring, deploying, and monitoring nginx-based solutions; utilizing programming languages including at least one compiled language (Java, C++) and at least one scripting language (Perl, Python); using Lua and OpenResty; understanding of container technologies such as Docker and Kubernetes; using Cloud-based experience ( Microsoft Azure) including container services and CI/CD (Azure Pipelines); managing source code management; and using at least one related tool such as git or svn.

Our Professional Software Engineers earn between $105,000.00 to $210,100.00 yearly. Not to mention all the other amazing rewards that working at AT&T offers. From health insurance to tuition reimbursement and paid time off to discounts on products and services just to name a few. There is a lot to be excited about around here. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

AT&T is an Affirmative Action/Equal Opportunity Employer, and we are committed to hiring a diverse and talented workforce. EOE/AA/M/F/D/V

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