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AT&T · 12 hours ago

Sr Specialist Software Engineering

Plano, TX

Full-time

Onsite

Mid, Senior Level

$119K/yr - $178K/yr

2+ years exp

AT&T is a leading communications and technology company that connects the world. They are seeking a Senior Specialist in Software Engineering to design and implement backend services, own the lifecycle of features, and solve complex data problems while collaborating with business stakeholders.

CollaborationCommunications InfrastructureMobileService IndustryTelecommunicationsWireless

No H1B

Responsibilities

Engineer Solutions: Design and implement robust backend services and RESTful APIs to support critical business applications across Legal, HR, and External & Legislative Affairs

Own the Lifecycle: Take full ownership of your features, from initial design through deployment. This includes writing unit tests, establishing CI/CD pipelines, and monitoring production performance

Solve Complex Data Problems: Architect efficient database schemas and secure data pipelines, making information both accessible and protected

Innovate & Learn: Continuously explore and evaluate new technologies—such as LLMs, agents, and the latest Azure features—to find faster and better ways to address business challenges

Collaborate: Partner directly with business stakeholders to translate their needs into effective technical solutions, ensuring that requirements address the real problem

Qualification

PythonObject-Oriented ProgrammingSQLAzureJavaC#/.NETNoSQLCI/CDContinuous ImprovementCollaborationProblem-SolvingAdaptability

Required

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted

AT&T will not hire any applicants for this position who require employer sponsorship now or in the future

2+ years Coding Proficiency: Deep expertise in at least one major programming language (Python, C#/.NET, or Java), with an emphasis on depth of knowledge

Engineering Fundamentals: A strong foundation in Object-Oriented Programming, data structures, algorithms, and system design. You understand the reasoning behind your technical choices

Database Knowledge: Solid experience with relational databases (SQL), and an understanding of when NoSQL is appropriate

Cloud Native Mindset: Practical experience building applications in a cloud environment (Azure preferred, but AWS or GCP experience is applicable)

Adaptability: A proven track record of quickly learning new languages, frameworks, or tools. You embrace new challenges and continually expand your skillset

Bachelor's degree (BS/BA) desired in Computer Science

Preferred

Experience with the Azure ecosystem (Data Factory, SQL, DevOps), interest or background in GenAI/LLMs, and familiarity with DevOps practices like CI/CD, Docker, and Infrastructure as Code