Senior IT Application Specialist

Geotab

Atlanta (GA)

On-site

USD 95,000 - 125,000

Full time

14 days+

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Benefits offered by this job

Flex working arrangements
Home office reimbursement program
Parental leave top-up program

Job summary

GEOTAB in Atlanta seeks a Senior IT Application Specialist to evaluate and implement AI-driven solutions enhancing IT application systems. This role involves leading the strategic roadmap for complex applications, building automated workflows, and mentoring team members.

Ideal candidates will have significant experience with cloud platforms and AI tools, along with strong programming skills. GEOTAB offers a flexible hybrid work model, competitive medical benefits, and various perks for full-time employees.

Qualifications

  • 5-8 years of experience in technical support of IT applications.
  • At least 3 years of hands-on experience in AI-powered automation.
  • Strong expertise in programming/scripting with Python and Bash.

Responsibilities

  • Evaluate and implement AI-driven solutions for IT application systems.
  • Build and deploy advanced workflow automations.
  • Lead the design and planning for enterprise applications.

Skills

AI-driven development tools
Python programming
Cloud platforms (GCP, AWS, Azure)
Linux-based environments
Incident response frameworks

Education

Post-Secondary Diploma/Degree in Computer Science or Engineering
Certifications (e.g., Google Cloud Professional Machine Learning Engineer)

Tools

Claude Code
GCP Cloud Functions
AWS Lambda
Prometheus
Grafana

Job description

What you’ll do:

As a Senior IT Application Specialist you will evaluate, select, and implement AI-driven solutions to design, configure, and maintain Geotab’s IT application systems. Your role will involve leading and shaping the strategic roadmap for complex application portfolios with high autonomy while mentoring team members to raise the team’s overall AI and application maturity.

How you’ll make an impact:
  • Use AI to write, review, and orchestrate code daily using tools such as Claude Code, Codex, OpenCode, and Gemini CLI.
  • Evaluate and select AI tools, frameworks, and platforms for team adoption, assessing business fit, security, and scalability.
  • Own end-to-end design, planning, execution and testing for projects, enhancements, and break/fix issues across enterprise applications.
  • Build and deploy advanced workflow automations using LLM APIs, orchestration frameworks, and platforms such as GCP Cloud Functions, AWS Lambda, and n8n.
  • Design and implement AI agent skills, tool integrations, and autonomous workflows with production-grade governance.
  • Design, configure, implement and maintain applications and service requirements while researching and establishing best practices.
  • Perform daily health checks to detect issues and minimize downtime, driving automation of health monitoring across the team.
  • Performance tuning by identifying ways to maximize the potential and ensure high availability of applications.
  • Analyze new functionality in application releases to determine how it should be used and identify AI-driven enhancements.
  • Plan, coordinate and test upgrades for enterprise applications, ensuring systems operate correctly in current and future environments.
  • Work closely with business owners to understand business needs, manage expectations, and identify improvement opportunities.
  • Establish relationships with various teams to troubleshoot issues and develop long-term solutions effectively.
  • Identify and resolve highly complex production problems for supported applications using AI-assisted troubleshooting.
  • Lead and ensure in-depth analysis of problems, initiate corrective actions and implement preventative measures.
  • Deploy and manage AIOps monitoring for predictive detection, automated anomaly identification, and AI-driven incident response.
  • Architect technical strategy for critical applications - from roadmap definition through deployment - often in ambiguous problem spaces.
  • Lead problem-solving across the team and adjacent teams, facilitating high-stakes incident response and architectural review sessions.
  • Mentor IT Applications Specialists through knowledge transfer, cross-training, and centralized knowledge management.
  • Create and maintain SOPs, technical documentation, and knowledge base content, leveraging AI for drafting and knowledge retrieval.
  • Provide advice and recommendations to management regarding AI adoption, technology directions, and security policy.
  • Participate in a 24x7 on-call rotating schedule.
What you’ll bring to the role:
  • Post-Secondary Diploma/Degree in Computer Science, Engineering, or a related field (or equivalent experience). Required proficiency using AI to write code with a production portfolio; preferred certifications include Google Cloud Professional Machine Learning Engineer, Google AI Professional, AWS, Linux+, or AIOps platform certifications.
  • 5-8 years of experience in technical, functional, and system support of IT applications, cloud platforms (GCP, AWS, Azure), and advanced OS installation/troubleshooting (ChromeOS, Windows, Linux).
  • At least 3 years of hands-on experience building and deploying AI-powered automation in production environments, with a preferred background in designing AI agent architectures and governance frameworks.
  • Deep expertise in AI-driven development tools (Claude Code, Codex, OpenCode, Gemini CLI), LLM APIs, and orchestration frameworks (GCP Cloud Functions, AWS Lambda, n8n), alongside strong programming/scripting skills in Python, PowerShell, and Bash.
  • Advanced knowledge of managing Linux-based environments, SSO methodologies (SAML & LDAPS), Zero Trust Architecture, containerization (Docker), and infrastructure automation.
  • Practical experience using intelligent monitoring and incident response frameworks such as Prometheus, Grafana, Datadog, Splunk, or similar toolsets.
  • Excellent verbal and written communication skills, an entrepreneurial mindset, strong critical thinking for validating AI output, and the ability to mentor team members effectively.
Benefits:
  • Flex working arrangements
  • Home office reimbursement program
  • Baby bonus & parental leave top up program
  • Online learning and networking opportunities
  • Electric vehicle purchase incentive program
  • Competitive medical and dental benefits
  • Retirement savings program

*The above are offered to full-time permanent employees only

How we work:

We have a flexible hybrid working model that supports both in-person and virtual work. Employees are encouraged to work from our offices as often as they like. When working from home, a reliable internet connection with at least 50 mbps download/10 mbps upload is required. We use cloud-based applications, collaboration tools, and asynchronous working. Health and safety are a top priority.

Other employment statements:

Geotab will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company’s legal duty to furnish information.

We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com.

Geotab provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Geotab complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Geotab expressly prohibits any form of workplace harassment or discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Geotab’s employees to perform their job duties may result in discipline up to and including discharge.

If you would like more information about our EEO program or wish to file a complaint, please contact our EEO officer, Klaus Boeckers at HRCompliance@geotab.com. For more details, view a copy of the EEOC’s Know Your Rights poster. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, "Geotab"), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice.

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