Senior IT Cloud Operations Engineering Specialist (Remote)
Remote - US
The Senior IT Cloud Operations Engineering Specialist is integral in the ongoing evolution and reinforcement of Geotab's complex, globally distributed cloud infrastructure. You will uniquely navigates the intersection of innovation and stability, leading the charge in strategic infrastructure development to ensure the seamless integration and optimization of Geotab’s SaaS solution. Central to this role is the refinement of existing systems and the implementation of advanced methodologies for automation, prioritizing system performance, scalability, and resilience while upholding paramount considerations for cost efficiency and robust security measures. If you really love automation, be passionate about managing information security, and keen to join a leading-edge technology firm – if you feel like we have described you, then we would love to hear from you!
What you'll do:As a Senior Cloud Operations Engineering Specialist, you will be responsible for supporting high-transaction, globally distributed cloud infrastructure and developing infrastructure for deploying and managing Geotab’s SaaS solution. Working closely with Technical Services teams, this role requires strong technical knowledge in cloud technologies, server operations, network protocols, and technical architectures. Responsibilities include maintaining cloud operations with a focus on servers and infrastructure management, cost optimization, and security. The role involves refining existing systems and implementing advanced methodologies for automation, prioritizing system performance, scalability, and resilience while considering cost efficiency and robust security measures. Additionally, the role incorporates AI into cloud operations to enhance automation, optimize performance, and ensure scalable and resilient infrastructure.. You will provide proactive support 24/7 for production and disaster recovery data center operations.
How you'll make an impact- Implement automated deployment strategies for patches and upgrades to reduce downtime and ensure a seamless update process.
- Develop predictive monitoring systems using AI/ML algorithms to proactively troubleshoot issues in high availability environments.
- Implement new and optimize existing infrastructure as code (IaC) practices to automate server provisioning and configuration, ensuring scalability and rapid deployment.
- Implement comprehensive data governance frameworks using advanced monitoring tools and AI-driven analytics to optimize data flow across multiple environments.
- Establish self-healing mechanisms and fault-tolerant architecture to minimize manual intervention during outages and ensure quick recovery.
- Introduce machine learning models to predict resource lifecycle needs, optimizing provisioning, decommissioning, and maintenance activities.
- Employ advanced data visualization techniques and predictive analytics to generate real-time, interactive dashboards for proactive decision-making and streamlined cloud operations.
- Implement AI-driven tracking for real-time auditing and continuous compliance adherence in internal server inventory management.
- Develop an integrated automation framework using AI-powered bots to streamline and optimize repetitive tasks, reducing manual efforts and improving overall efficiency.
- Apply AI-driven cost prediction models to optimize cloud spending, creating dynamic thresholds and proactive cost-saving strategies.
- Introduce AI-driven anomaly detection systems to provide real-time insights into security controls and tool effectiveness, enhancing the overall security posture.
- Utilize machine learning algorithms for predictive analytics to preempt operational discrepancies and ensure a seamless user experience.
- Foster a culture of continuous improvement using different collaboration tools to streamline communication and optimize operational processes between internal departments
- Post-Secondary Diploma/Degree specialization in Computer Science, Computer Engineering or a related field
- 5-8 years of experience in IT/Cloud Operations, demonstrating a track record in spearheading complex cloud infrastructure projects at a senior level.
- Mastery of advanced Cloud technologies (e.g., Google Cloud Platform or AWS), paired with a comprehensive grasp of IP Networking, Network Security, Firewalls, and Load Balancing in enterprise-grade environments, ensuring alignment with robust security standards and cost-effective measures.
- Advanced proficiency in maintaining applications across diverse Linux and Windows environments, coupled with advanced skills in system automation for monitoring and deployment purposes using cutting-edge tools and methodologies.
- Expertise in Database Administration, demonstrating advanced capabilities in query analysis and performance tuning in diverse database clusters such as MS-SQL, MySQL, PostgreSQL, and sophisticated platforms like BigQuery.
- Proficiency in advanced version control systems such as GitHub and GitLab, coupled with a deep understanding of continuous integration, log collection, and analysis in complex cloud environments.
- Mastery in scripting languages (Bash Shell, PowerShell, Python) and advanced experience in employing configuration management tools such as Terraform, Ansible, Chef, or Octopus Deploy for intricate infrastructure.
- Proven track record in managing multiple complex projects simultaneously, showcasing exceptional organizational and leadership skills at a strategic level.
- Exceptional verbal and written communication skills, along with the ability to build relationships across all organizational levels, facilitating seamless communication in high-stakes situations.
- Proficiency not only in Google Suite for business but also a thorough understanding of advanced software applications and platforms tailored for strategic organizational development and implementation.
- Demonstrated entrepreneurial mindset and adaptability in a flat organization, showing the ability to lead innovation and transformation within dynamic cloud environments
- Associate cloud certification related to cloud architecture (GCP, AWS), Professional Certification in IT (GCP, AWS) highly valued
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 At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology! Geotab verifies candidates' eligibility to work in the United States through E-Verify, an internet-based system operated by U.S. Citizen and Immigration Services. 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, Alex Cocq 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 learn more about what happens with your personal data. #LI-DNIThe annual base salary for this position is anticipated to be the range listed below. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position would depend on a variety of factors such as but not specific to skills, qualifications, education and overall experience, including the location the applicant lives or intends to live while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.
Hiring Range$88,400—$155,400 USD ApplyJob Profile
Great benefits Inclusive work culture Opportunities to innovate
Tasks- Develop infrastructure for SaaS
- Implement automation
- Maintain cloud operations
- Provide 24/7 support
- Refine existing systems
- Support cloud infrastructure
AI Automation Cloud Technologies Cost Optimization Data & Analytics Machine Learning Network protocols SaaS Security Server operations Technical architectures
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9