Find & Apply For Computer Systems Engineer / Architect Jobs In Mobile, Alabama
Computer Systems Engineers/Architects in Mobile, Alabama design and develop computer systems and applications. They analyze user needs, recommend upgrades, and ensure systems are secure and efficient. They collaborate with IT teams to implement solutions and troubleshoot issues. These professionals play a crucial role in optimizing technology infrastructure for businesses. Below you can find different Computer Systems Engineer/Architect positions in Mobile, Alabama.
Jobs in Mobile
Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.
Advanced System Engineer
Honeywell International
Mobile, AL
Senior Technical Architect
S&P Global
Mobile, AL
Senior Technical Architect – ETL / AWS
S&P Global
Mobile, AL
Senior Technical Architect – ETL / AWS
S&P Global
Mobile, AL
Latest Jobs in Mobile
Salary Information & Job Trends In this Region
Computer Systems Engineers / Architects in Mobile, Alabama play a vital role in developing and maintaining technological frameworks. - Entry-level Systems Engineer salaries range from $55,000 to $70,000 per year - Mid-career Systems Architect salaries range from $80,000 to $105,000 per year - Senior Systems Consultant salaries range from $110,000 to $140,000 per year The field of computer systems engineering and architecture in Mobile has roots stretching back to the early days of computer technology, when local industries began to leverage computing power for logistics and manufacturing processes. Over the decades, the role of Computer Systems Engineers and Architects in Mobile has evolved with the advent of new technologies. Initially focused on hardware configuration and maintenance, the profession now also encompasses complex software solutions and cloud-based infrastructure, adapting to the needs of a digital economy. Today, trends in the field include the increasing adoption of artificial intelligence and machine learning to optimize system operations, a growing emphasis on cybersecurity measures, and the shift towards sustainable and energy-efficient computing solutions.