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Remote Operations Engineer Jobs in Mountain View, CA

AI-First SRE/DevOps Engineer

San Jose, CA · On-site +1

$66.75 - $88.75/hr

US (Remote or HQ Hybrid) Job Type: Full-time Axiad is seeking a skilled AI-First SRE/DevOps Engineer with 5-8 years of hands-on infrastructure and platform engineering experience to help build and ...

You'll work collaboratively with a multidisciplinary team of mechanical, nuclear, chemical, and controls engineers to integrate critical systems such as shielding, containment, and remote operations ...

You'll work collaboratively with a multidisciplinary team of mechanical, nuclear, chemical, and controls engineers to integrate critical systems such as shielding, containment, and remote operations ...

Showing results 21-40

Remote Operations Engineer information

See Mountain View, CA salary details

$42.5K

$100.3K

$159.3K

How much do remote operations engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote operations engineer in Mountain View, CA is $100,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $110,900.00 per year, depending on experience, location, and employer.

What is a remote operations engineer?

A Remote Operations Engineer monitors, manages, and optimizes systems and processes from a remote location, ensuring efficiency and reliability. They use advanced technology and software tools to oversee operations in industries like energy, manufacturing, or IT. Their responsibilities include troubleshooting, data analysis, and collaborating with on-site teams to maintain smooth operations. Strong technical skills, problem-solving abilities, and adaptability are essential for this role.

What are the key skills and qualifications needed to thrive as a remote operations engineer?

To thrive as a Remote Operations Engineer, you need a solid background in systems administration, networking, and cloud infrastructure, often demonstrated by a degree in computer science or a related field. Familiarity with tools like AWS, Azure, remote monitoring systems, and relevant certifications such as AWS Certified SysOps Administrator or CompTIA Network+ is highly valuable. Strong problem-solving skills, proactive communication, and excellent time management help engineers excel in remote and collaborative environments. These skills ensure efficient, reliable operations management and smooth coordination with distributed teams and stakeholders.

What are some common challenges faced by remote operations engineers, and how can they be addressed?

Remote Operations Engineers often encounter challenges such as managing critical systems across different time zones, quickly diagnosing issues without on-site access, and maintaining clear communication with global teams. To succeed, it's important to leverage robust monitoring and automation tools, proactively schedule regular check-ins, and document processes thoroughly. Developing strong relationships with team members and participating in virtual collaboration sessions can also help overcome remote work barriers. In this dynamic role, adaptability and continuous learning are key to staying ahead of evolving technology and operational demands.

What are popular job titles related to Remote Operations Engineer jobs in Mountain View, CA?

For Remote Operations Engineer jobs in Mountain View, CA, the most frequently searched job titles are:

What job categories do people searching Remote Operations Engineer jobs in Mountain View, CA look for?

The top searched job categories for Remote Operations Engineer jobs in Mountain View, CA are:

What cities near Mountain View, CA are hiring for Remote Operations Engineer jobs?

Cities near Mountain View, CA with the most Remote Operations Engineer job openings:

DevOps Engineer III, AI & Business Automation

iXsystems

Campbell, CA • On-site, Remote

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Job description

Description

TrueNAS is redefining enterprise storage by delivering proven data resilience, performance, and flexibility without the complexity or constraints of legacy solutions. As the most deployed storage platform in the world, TrueNAS already powers critical data storage infrastructure for businesses, research institutions, and government agencies across 140+ countries and millions of users. Our mission is simple: to become the most trusted name in data storage.

Originally founded in Silicon Valley in 2002 under the name iXsystems, TrueNAS is a profitable, independent company with a culture rooted in trust, curiosity, technical excellence, and continuous improvement. Whether you work remotely or on-site, you'll be part of a team that values collaboration and meaningful impact - where people come before profit, and bold ideas drive the future of data infrastructure.


If you're ready to help shape the future of enterprise storage, we'd love to connect.


Position Overview: The DevOps Engineer III, specializing in AI & Business Automation, is a senior technical role within the Business Technology department, responsible for designing and delivering intelligent automation solutions, full-stack custom business applications, and software integrations that drive operational efficiency across the organization. This role will develop AI-powered agents and workflows leveraging platforms such as Anthropic Claude and Google Gemini, build and maintain mission-critical internal tools and systems, and help lay the foundation for a dedicated AI Automation & Integrations practice within Business Technology. The position reports directly to the Director of Business Technology and is instrumental in bridging the gap between business operations and emerging AI capabilities.


This is a remote position in the US, with preference to candidates located in Campbell, CA.


Base Pay Range

The base pay range of this position is $125,000 to $150,000 USD annually. In addition to base salary, this position is eligible to participate in the Company's bonus program with a target bonus opportunity of 10% of base salary annually, subject to the achievement of individual and Company performance objectives and the terms of the applicable Company bonus plan.
Please note that the provided range reflects the pay spectrum for positions within the same job category as the one to which this position belongs. The final offer will consider various factors, such as location, education, and prior experience, to ensure a comprehensive and fair compensation assessment.


TrueNAS offers a comprehensive package of benefits including health, dental, vision, disability, and life insurance, paid time-off, 401(k), health and flexible spending accounts, stock purchase plan and more.


Expected Posting Timelines

This position will be open for a minimum of 5 days, a maximum of 90 days.


The Day-to-Day

The essential functions and responsibilities for this position include, but are not limited to, the following. Other duties may be assigned as needed.

  • Design, develop, and maintain full-stack custom business applications including manufacturing execution systems (MES), asset management tools, and unified internal operational dashboards.
  • Build and maintain software integrations across the company's internal systems portfolio, including SAP S/4HANA Cloud Public, SAP Business ByDesign, SAP Concur (Travel, Expense & Invoice), Salesforce, Google Workspace, Zoom, Slack, Jira, GitHub, and additional platforms as the business evolves.
  • Serve as the company's primary subject matter expert on artificial intelligence and key member of the AI Risk Committee
  • Design and deploy AI-powered agents and automated workflows using platforms such as Anthropic Claude and Google Gemini to systematically identify and eliminate routine manual tasks across the organization.
  • Architect and implement prompt engineering strategies, agentic frameworks, and multi-step AI pipelines tailored to specific business use cases and operational requirements.
  • Continuously evaluate emerging AI tools, LLM capabilities, agent frameworks, and automation platforms; build proof-of-concepts and recommend adoption paths aligned with company objectives and infrastructure.
  • Establish and maintain internal AI standards, best practices, and responsible use guidelines to ensure consistent, secure, and effective AI adoption across the organization.
  • Lead cross-departmental discovery sessions to surface automation and AI opportunities, partnering with business stakeholders to translate operational needs into scalable, maintainable technical solutions.
  • Develop and deliver internal training, documentation, and enablement resources to educate employees on AI tools and capabilities, building a culture of intelligent automation throughout the company.
  • Build, maintain, and document RESTful APIs and integration middleware connecting internal and external systems.
  • Review and validate code quality, architectural decisions, and AI/automation design patterns; mentor contributors and help establish team standards as the AI practice grows.
  • Document systems, integrations, automation logic, and AI agent configurations to ensure maintainability, reliability, and effective knowledge transfer.
  • Build the foundation for and grow into leading a dedicated AI Automation & Integrations team. Including defining team scope, structure, and technical direction as the practice matures within Business Technology.
  • Follow all best practices and procedures as established by the Business Technology leadership.


Education and Experience

We have identified the following programs, experience, and knowledge that have helped others find success in this role at TrueNAS. We understand, though, that knowledge comes from many forms of learning and experiences. Above all, we consider a person's potential impact in the role and value their unique path to this point in their career.

  • BS in Computer Science, Software Engineering, Information Technology, or a related field; equivalent professional experience accepted in lieu of degree
  • 7+ years of professional experience in software engineering, full-stack development, or a closely related technical discipline
  • Demonstrated experience building and deploying production-grade custom applications and software integrations
  • Hands-on experience working with AI/LLM APIs and building AI-powered automations, agents, or intelligent workflowsExperience with full-stack web application development including both frontend and backend components
  • Proficiency in full-stack development using Python, JavaScript/TypeScript, Node.js, and modern frontend frameworks (e.g., React, Vue)
  • Hands-on experience with AI/LLM platforms, specifically Anthropic Claude and Google Gemini APIs, including prompt engineering and agentic workflow design
  • Experience designing and building AI agents, multi-step automation pipelines, and intelligent workflow orchestration
  • Experience working with and implementing AI MCP servers and integrations
  • Strong knowledge of RESTful API design, integration patterns, and automation/iPaaS platforms; experience integrating enterprise systems such as SAP, Salesforce, Google Workspace, Slack, and Jira
  • Experience with relational and non-relational database design, configuration, and management
  • Familiarity with containerization (Docker), cloud infrastructure, and CI/CD workflows
  • Knowledge of Git and collaborative development practices in an agile environment
  • Excellent problem-solving, systems-thinking, and troubleshooting skills
  • Ability to communicate complex technical concepts clearly to non-technical stakeholders across departments


Equal Employment Opportunity:

iXsystems DBA TrueNAS, Inc provides equal employment opportunities to all employees and applicants in all company facilities without regard to race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental and intellectual disability, age, military status or status as a Vietnam-era or special disabled veteran, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer-related or HIV/AIDS-related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.