Jobs in the United States

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Infrastructure Security Vulnerability Engineer
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United States
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Added 1 min ago
MES Systems Engineering - Sr. Principal
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Staff Software Engineer, AI Developer Productivity
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- $218,025 to $256,500 USD / year
…and next steps. Our partner is looking for a Staff Software Engineer, AI Developer Productivity based in the United…
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- $218,100 to $327,100 USD / year
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Added 2 mins ago
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Lead DevOps Engineer
Jobgether
Remote, United States
- $150,000 to $185,000 USD / year
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Added 2 mins ago
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In most instances, this position requires in-person interviews as part of the hiring process.
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Network Implementation Engineer
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Jobgether

Infrastructure Engineer, Enterprise AI

Remote, United States

$208,500 to $225,000 USD / year

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Job details

Pay: $208,500 to $225,000 USD / year
Posting language: English

Original job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an Infrastructure Engineer, Enterprise AI based in the United States.

As an Infrastructure Engineer, Enterprise AI, you will play a key role in building and scaling the infrastructure that enables employees to transform AI-generated ideas, prototypes, and applications into secure, reliable, production-ready solutions. You will design and maintain cloud hosting environments, deployment workflows, databases, integrations, and access controls that support teams across the organization. Working closely with Enterprise Technology, Platform Engineering, Security, Data, and business stakeholders, you will make AI-powered application development more accessible to employees with different levels of technical expertise. You will establish reusable infrastructure patterns, automate deployment processes, and ensure applications meet enterprise standards for security, performance, and reliability. Beyond technical implementation, you will provide hands-on guidance, improve documentation, and help internal builders become more confident and independent. This is an opportunity to shape the future of enterprise AI adoption in a collaborative, fast-paced environment where innovation and practical problem-solving go hand in hand.

Accountabilities:

Build, maintain, and operate infrastructure for employee-developed applications, including cloud hosting environments, deployment platforms, databases, networking, and access management.
Evaluate, select, and implement appropriate hosting and development platforms in collaboration with Platform Engineering, Security, Data, and business teams.
Establish standardized deployment workflows that enable employees to move applications from local prototypes into secure, reliable, and scalable cloud environments.
Configure and maintain integrations with enterprise tools and business systems, including Slack, Gmail, Google Sheets, Salesforce, Looker, BigQuery, and other relevant platforms.
Design and implement version control processes using Git and GitHub, enabling effective code reviews, version tracking, release management, and safe rollbacks.
Develop reusable infrastructure patterns and automation solutions, leveraging Infrastructure as Code tools and CI/CD practices wherever appropriate.
Implement secure application hosting foundations, including identity and access management, secrets management, environment separation, data permissions, backups, monitoring, and incident response procedures.
Provide hands-on technical support to internal application builders throughout the development lifecycle, from initial setup and configuration to deployment, launch, and ongoing maintenance.
Help employees understand deployment processes and infrastructure requirements by simplifying technical workflows and promoting self-service capabilities.
Deliver responsive, patient, and practical technical assistance to users with varying levels of software development experience.
Collect feedback from internal users and continuously improve platform workflows, documentation, deployment templates, and support processes.
Document infrastructure architecture, deployment procedures, integration standards, operational responsibilities, and application maintenance requirements.
Ensure the platform balances usability, security, reliability, scalability, and cost efficiency.
Monitor application performance and infrastructure operations, identifying opportunities to improve reliability, maintainability, and the overall developer experience.

Requirements:

Demonstrated experience building, managing, or operating cloud infrastructure and application deployment environments, ideally using Google Cloud Platform (GCP) or another major cloud provider.
Strong technical understanding of application hosting, cloud networking, databases, identity and access management, and production operations.
Hands-on experience with version control systems, particularly Git and GitHub, including code review, release management, and rollback workflows.
Experience automating infrastructure provisioning and application deployments using tools such as Terraform and CI/CD platforms.
Practical experience integrating applications with APIs and enterprise business systems, including an understanding of authentication, authorization, and secure secrets management.
Strong understanding of infrastructure security principles and the ability to establish appropriate access controls and data protection practices.
Customer-focused approach to infrastructure engineering, with an emphasis on making platforms accessible, reliable, and easy for internal users to operate.
Ability to translate complex technical processes into clear, approachable instructions for employees who may not have professional software engineering backgrounds.
Excellent troubleshooting, analytical, communication, and technical documentation skills.
Strong judgment when balancing development speed, simplicity, security, reliability, and infrastructure costs.

The following qualifications and experiences would be considered an advantage:

Experience building internal developer platforms, standardized deployment environments, or self-service infrastructure solutions for developers and citizen developers.
Familiarity with Vercel or comparable application hosting and development platforms.
Experience working with AI-assisted application development tools such as Superblocks, Lovable, or similar solutions.
Understanding of AI-enabled software development workflows and the infrastructure required to transform AI-generated code into secure, supported applications.
Experience with Okta, Google Workspace, Slack, and integrations across enterprise productivity platforms.
Previous experience supporting applications that process sensitive information or require advanced access management and security controls.

Key indicators of success in this role include:

Employee-built applications have a clear, standardized pathway to secure and supported cloud hosting.
Internal teams can deploy, update, and maintain applications through documented and repeatable workflows with version history and rollback capabilities.
Enterprise integrations and permissions are reliable, appropriately scoped, and easy to maintain.
Employees can independently make progress without needing extensive knowledge of underlying cloud infrastructure.
Internal builders receive timely, helpful technical support and become increasingly confident operating their applications.
Infrastructure platforms consistently meet organizational expectations for usability, security, reliability, and cost management.

Benefits:

Competitive compensation: Annual base salary ranging from $208,500 to $225,000 in California. Compensation in other locations may vary according to geographic salary structures, skills, education, training, credentials, and professional experience.
Equity opportunities: Eligibility for equity as part of the overall compensation package.
Retirement benefits: Access to a 401(k) retirement savings plan.
Comprehensive healthcare: Choice of medical, dental, and vision insurance plans.
Disability coverage: Company-paid short-term and long-term disability insurance.
Flexible time off: Flexible paid time off for exempt employees, alongside paid vacation for non-exempt employees.
Paid sick leave: Sick leave in accordance with applicable state and local regulations.
Parental leave: Paid parental leave to support employees and their families.
Exclusive perks: Discounted meals and access to special offers across the company's family of brands.
Professional growth: Opportunities to work with emerging AI technologies, enterprise infrastructure, and innovative application development platforms.
Collaborative environment: Work alongside cross-functional teams focused on technology, security, data, and business innovation.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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More about this job

Skills

Documentation
Slack
Google Gmail
Google Sheets
Salesforce
Looker
BigQuery
Git
GitHub
Infrastructure as code
CI/CD
Identity and access management
Incident response
Technical support
Software development
Google Cloud
Control systems
IBM Terraform
Data protection
Troubleshooting
Communication skills
Google Workspace
Cost management

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