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Supportability Engineer Jobs in Texas (NOW HIRING)

Performing supportability engineering tasking i.e. Logistics Support Analysis, technical documentation updates, training curricula, reports and presentations, spares management, etc. * Supporting the ...

Performing supportability engineering tasking i.e. Logistics Support Analysis, technical documentation updates, training curricula, reports and presentations, spares management, etc. * Supporting the ...

Performing supportability engineering tasking i.e. Logistics Support Analysis, technical documentation updates, training curricula, reports and presentations, spares management, etc. * Supporting the ...

Performing supportability engineering tasking i.e. Logistics Support Analysis, technical documentation updates, training curricula, reports and presentations, spares management, etc. * Supporting the ...

Data Engineer

Coppell, TX · On-site

$47.50 - $52/hr

Knowledge of data engineering best practices related to testing, monitoring, documentation, and long-term supportability. * Effective communication skills with the ability to work across technical ...

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Showing results 1-20

Supportability Engineer information

See Texas salary details

$30.7K

$87.6K

$135.6K

How much do supportability engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for supportability engineer in Texas is $87,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $101,100.00 per year, depending on experience, location, and employer.

What is a supportability engineer?

A Supportability Engineer is a professional who focuses on ensuring that products and systems are easy to maintain, support, and troubleshoot after they are deployed. They work closely with design, development, and support teams to identify potential issues, develop support documentation, and implement solutions that enhance the product's reliability and customer satisfaction. Their responsibilities often include analyzing product failures, recommending design improvements, and creating tools or processes to streamline customer support. By proactively addressing support-related challenges, Supportability Engineers help reduce downtime and improve the user experience.

How does a supportability engineer typically collaborate with product development and customer support teams?

Supportability Engineers play a critical role in bridging the gap between product development and customer support. They work closely with development teams to identify and address product issues that may impact customer experience, often providing feedback on design for easier troubleshooting and maintenance. Additionally, they partner with customer support teams to analyze common support cases, develop diagnostic tools, and create documentation to enhance self-service. This collaborative environment ensures that both product quality and customer satisfaction are continually improved.

What are the key skills and qualifications needed to thrive as a supportability engineer, and why are they important?

To excel as a Supportability Engineer, you need a solid background in systems engineering, troubleshooting, and product lifecycle management, often supported by a degree in engineering or a related field. Familiarity with diagnostic tools, failure analysis software, and maintenance documentation systems is typically required. Strong problem-solving skills, excellent communication, and a customer-focused mindset help you collaborate effectively with development and support teams. These competencies are crucial for ensuring products are maintainable, reliable, and efficiently supported throughout their lifecycle.

What is the difference between Supportability Engineer vs Technical Support Engineer?

AspectSupportability EngineerTechnical Support Engineer
Required CredentialsBachelor's in Engineering, certifications in support or systemsBachelor's in IT, computer science, or related field
Work EnvironmentProduct development, troubleshooting, and support for complex systemsCustomer-facing support, troubleshooting hardware/software issues
Employer & Industry UsageTech, manufacturing, and software companiesIT services, tech companies, hardware vendors
Common Search & ComparisonSupportability Engineer vs Technical Support Engineer

The Supportability Engineer focuses on improving product supportability, analyzing issues, and developing solutions for complex systems. In contrast, the Technical Support Engineer primarily assists customers directly with troubleshooting hardware and software problems. Both roles require technical knowledge, but Supportability Engineers are more involved in product development and support process improvements, while Technical Support Engineers focus on customer service and issue resolution.

What are popular job titles related to Supportability Engineer jobs in Texas?

For Supportability Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Supportability Engineer jobs in Texas look for?

The top searched job categories for Supportability Engineer jobs in Texas are:

Infographic showing various Supportability Engineer job openings in Texas as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $87,603 per year, or $42.1 per hour.

Supportability Technical Lead, AI/ML, Google Cloud

Austin, TX • On-site

Google Inc.
Software Development • 10K+ employees

Other

Posted 11 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz


Job description

Supportability Technical Lead, AI/ML, Google Cloud

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Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Sunnyvale, CA, USA.

  • Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
  • 9 years of experience in a technical role (e.g., Technical Solutions Engineer, Software Engineer, Customer Engineer, Professional Services, or Technical Program Management), troubleshooting or triaging technical issues.
  • Experience in Google Cloud Platform, ADK, Generative AI and with AI model training, testing, evaluation, and tuning processes.
  • Experience with web technologies (e.g., HTTP, HTML, DNS, TCP).
  • Experience leveraging AI to build, read, and debug code (any language).
Preferred qualifications:
  • Experience leading projects or initiatives from design/concept through to delivery (e.g., driving a major feature improvement or new internal tool).
  • Ability to analyze and influence systems architecture and design patterns to improve supportability, debuggability, and diagnosability across the AI/ML product suite.
  • Ability to grow in changing environments and requirements.
  • Effective leadership and influencing skills in the application of AI or Machine Learning, with the ability to lead the design and implementation of AI-based solutions, web services, debugging tools, with a proven ability to work across Support and Product Engineering teams to align priorities and drive outcomes.
About the job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting‑edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

About the job

US: $150000 - $217000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

  • Partner with Support, Engineering, and other cross‑functional leadership to define and drive the strategic roadmap for technical support innovation and agility across the AI/ML product portfolio.
  • Understand customer issues, advocate for their needs with internal teams, including product and engineering teams, to find ways to deliver support and products.
  • Resolve technical troubleshooting and mitigating complex systemic problems faced by our customers.
  • Design the future state of technical support and customer experience by defining and advocating new standards for support processes, telemetry, tooling, and operational readiness.
  • Oversee support launch readiness and excellence for new AI/ML products and identify targeted opportunities to transform the support experience.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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