Lead the creation of scalable Data & AI applications using best practices in software engineering such as automation, version control, and CI/CD
Develop and implement rigorous testing strategies to ensure application reliability and performance
Oversee deployment processes, addressing issues related to configuration, environment, or security
Translate Data & AI use case requirements into effective data models and pipelines
Architect and build secure, scalable microservices and APIs
Evaluate and select optimal technologies for cloud and on-premise deployments

Requirements

Bachelor’s degree (BS/BA) desired such as Computer Science or Scientific Computing
2+ years of related experience
Certification is required in some areas

Benefits

Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays (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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Data applicationsAI applicationssoftware engineeringautomationversion controlCI/CDtesting strategiesdata modelsmicroservicesAPIs

Certifications

Bachelor’s degreeComputer ScienceScientific Computing