📍 Job Overview

Job Title: Senior Infrastructure Engineer
Company: Ambient.ai
Location: Redwood City, California, United States
Job Type: Hybrid (3 days on-site per week)
Category: DevOps, Infrastructure
Date Posted: May 28, 2025
Experience Level: 5-10 years
Remote Status: On-site (Redwood City office)

🚀 Role Summary

Lead role in designing, securing, and scaling infrastructure for engineering teams and customer-facing applications
Drive key initiatives around CI/CD, cloud infrastructure, security hardening, and developer tooling
Manage vendor relationships, oversee hardware procurement, and troubleshoot complex network or endpoint issues
Collaborate with engineering teams to embed DevOps best practices throughout the development lifecycle

📝 Enhancement Note: This role offers a broad impact on engineering velocity and system reliability, making it an excellent fit for a hands-on engineer with deep experience in AWS and GCP, a strong security mindset, and a passion for building tools and systems that make developers more productive.

💻 Primary Responsibilities

Infrastructure Management: Design, manage, and scale infrastructure across AWS and GCP, with deep familiarity in both platforms
CI/CD Optimization: Own and optimize CI/CD pipelines, dev environment tooling, and release automation processes
Security Implementation: Implement and manage cloud-native security services like AWS WAF, Security Hub, and ensure best practices are followed
Vulnerability Management: Review, prioritize, and patch security vulnerabilities across infrastructure and applications
Internal Tool Development: Build internal tools to help developers access logs, debug issues, and operate confidently in production environments
Vendor Management: Manage vendor relationships for hardware procurement, pricing negotiation, and network troubleshooting
Endpoint Management: Lead MDM setup, device imaging, and work cross-functionally for endpoint and access management
System Hardening: Maintain and harden systems running on Ubuntu, including patching, automation, and monitoring
Infrastructure as Code: Use IaC tools (e.g., Terraform) to manage and provision infrastructure consistently
Observability Setup: Set up and maintain observability stacks (monitoring, logging, alerting) to ensure system reliability and transparency
Incident Response: Support incident response, on-call rotations, and improve operational resilience through root cause analysis and automation
DevOps Collaboration: Collaborate with engineering teams to embed DevOps best practices throughout the development lifecycle

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field. Relevant experience may be considered in lieu of a degree.

Experience: 5-10 years of experience in infrastructure engineering, with a strong focus on AWS and GCP. Proven experience in CI/CD, security, and tool development is required.

Required Skills:

Proficiency in AWS and GCP, with a strong understanding of both platforms
Experience with CI/CD pipelines and release automation
Strong security mindset and experience with security tools and practices
Proficiency in Linux (Ubuntu) system administration
Experience with Infrastructure as Code (IaC) tools, such as Terraform
Familiarity with monitoring tools and alerting systems
Strong problem-solving skills and ability to troubleshoot complex issues
Excellent communication and collaboration skills

Preferred Skills:

Experience with cloud-native security services (e.g., AWS WAF, Security Hub)
Familiarity with MDM and endpoint management tools
Experience with hardware procurement and vendor management
Knowledge of DevOps best practices and Agile methodologies
Familiarity with the physical security industry is a plus

📊 Web Portfolio & Project Requirements

As this role focuses on infrastructure engineering and DevOps, a traditional web portfolio is not required. However, candidates should be prepared to showcase their technical skills and experience through the following means:

Technical Documentation:

Detailed documentation of past infrastructure projects, including architecture diagrams, deployment processes, and system design decisions
Code samples or snippets demonstrating proficiency in relevant technologies (e.g., Terraform, Bash, Python)
Examples of monitoring and alerting configurations, demonstrating an understanding of system reliability and transparency

Case Studies:

Detailed case studies of past projects, highlighting the candidate's role in designing, implementing, and maintaining infrastructure solutions
Examples of how the candidate has improved system reliability, performance, or security through their work
Documentation of any challenges faced and how they were overcome

💵 Compensation & Benefits

Salary Range: The starting base salary range for this role in Redwood City is $168,000 - $200,000 USD per year. Final offers are based on job-related skills, experience, location, and internal equity.

Benefits:

Stock options for the opportunity to share in the company's growth
Comprehensive health package, including medical, dental, and vision insurance
Flexible time off, including Winter Break (time off between Christmas and New Year's for most roles depending on customer demand)
The latest tech and awesome swag delivered to your door
Regular team events and opportunities to connect with co-workers

Working Hours: Full-time position with a 40-hour workweek. The role requires on-site work at the Redwood City office for 3 days per week.

📝 Enhancement Note: While the salary range is provided, candidates should research regional salary standards and cost of living to ensure the compensation package aligns with industry benchmarks for similar roles in the Redwood City area.

🎯 Team & Company Context

Company Culture: Ambient.ai is a unified, AI-powered physical security platform helping leading enterprises reduce risk, improve operational efficiency, and gain critical insights. The company values collaboration, creativity, and team alignment, with in-person time supporting these aspects. Ambient.ai fosters a diverse and inclusive work environment, with equal opportunity employment practices.

Industry: Ambient.ai operates in the physical security industry, focusing on AI-powered solutions for enterprise customers. The company's platform uses advanced AI and computer vision to seamlessly integrate with existing camera and sensor systems, enabling real-time monitoring and proactive threat detection.

Company Size: Ambient.ai is a Series B company, indicating a mid-sized organization with a growing team and established product offerings. As a mid-sized company, Ambient.ai offers opportunities for career growth and impact on the organization's success.

Founded: 2017

Team Structure:

The infrastructure team consists of multiple engineers, working closely with software development teams to ensure system reliability and performance
The team follows an Agile/Scrum methodology, with regular sprint planning and code reviews
Cross-functional collaboration with design, marketing, and business teams is essential for driving product success

Development Methodology:

Ambient.ai follows an Agile/Scrum development process, with regular sprint planning and code reviews
The company emphasizes code quality, testing, and quality assurance practices to ensure reliable and secure software
Deployment strategies include CI/CD pipelines and automated deployment processes to maintain system reliability and performance

Company Website: Ambient.ai

📝 Enhancement Note: Ambient.ai's company culture emphasizes collaboration, creativity, and team alignment, with a strong focus on driving product success through cross-functional collaboration. The company's industry context and team structure provide opportunities for career growth and impact on the organization's success.

📈 Career & Growth Analysis

Web Technology Career Level: Senior Infrastructure Engineer roles require extensive experience in infrastructure engineering, with a strong focus on cloud platforms (AWS and GCP), CI/CD, security, and tool development. Candidates in this role should have a deep understanding of infrastructure as code (IaC) tools, monitoring, and alerting systems. They should also possess strong problem-solving skills and the ability to collaborate effectively with software development teams.

Reporting Structure: Senior Infrastructure Engineers typically report directly to the Director of Engineering or a similar role, depending on the organization's structure. They may also work closely with software development managers and team leads to ensure system reliability and performance.

Technical Impact: Senior Infrastructure Engineers have a significant impact on the reliability, performance, and security of the organization's infrastructure. Their work directly influences the stability and availability of customer-facing applications and internal tools. By driving key initiatives around CI/CD, cloud infrastructure, security hardening, and developer tooling, they play a critical role in enabling engineering teams to work more efficiently and effectively.

Growth Opportunities:

Technical Leadership: As Ambient.ai continues to grow, there will be opportunities for Senior Infrastructure Engineers to take on more significant technical leadership roles, such as managing teams or leading architecture decisions
Emerging Technologies: The physical security industry is evolving rapidly, with new technologies and approaches emerging constantly. Senior Infrastructure Engineers at Ambient.ai will have the opportunity to stay up-to-date with the latest trends and contribute to the company's adoption of emerging technologies
Career Progression: With a strong focus on internal mobility and career development, Ambient.ai offers opportunities for Senior Infrastructure Engineers to progress into roles such as Principal Engineer, Engineering Manager, or other leadership positions

📝 Enhancement Note: Ambient.ai's growth opportunities for Senior Infrastructure Engineers focus on technical leadership, emerging technologies, and career progression. By driving key initiatives and collaborating effectively with software development teams, Senior Infrastructure Engineers can make a significant impact on the organization's success and advance their careers within the company.

🌐 Work Environment

Office Type: Ambient.ai's office is located in Redwood City, California, with a hybrid work arrangement that requires on-site work for 3 days per week. The office is designed to support collaboration, creativity, and team alignment, with a focus on in-person time to drive product success.

Office Location(s): Redwood City, California, United States

Workspace Context:

Collaboration Spaces: The office features dedicated collaboration spaces, designed to facilitate teamwork and brainstorming sessions
Private Workspaces: Each engineer has access to a private workspace, equipped with the latest technology and tools to ensure productivity and comfort
Development Tools: Ambient.ai provides engineers with access to the latest development tools, multiple monitors, and testing devices to support their work
Cross-Functional Collaboration: The office layout encourages cross-functional collaboration between engineering, design, marketing, and business teams, with shared spaces and meeting rooms available for team discussions and project planning

Work Schedule: Full-time position with a 40-hour workweek. The role requires on-site work at the Redwood City office for 3 days per week, with the remaining days worked remotely or on-site at the candidate's discretion.

📝 Enhancement Note: Ambient.ai's work environment emphasizes collaboration, creativity, and team alignment, with a hybrid work arrangement that balances on-site and remote work. The office layout and workspace context support cross-functional collaboration and productivity, while the work schedule offers flexibility for engineers to balance their professional and personal lives.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: A brief phone call to discuss the candidate's experience, skills, and career goals (15-30 minutes)
Technical Deep Dive: A comprehensive technical interview focused on the candidate's experience with AWS and GCP, CI/CD, security, and tool development (60-90 minutes)
System Design: A system design exercise or case study, evaluating the candidate's ability to design, scale, and secure complex infrastructure solutions (60-90 minutes)
Behavioral & Cultural Fit: A discussion focused on the candidate's problem-solving skills, communication style, and cultural fit within the Ambient.ai team (30-45 minutes)
Final Decision: A final decision based on the candidate's technical skills, cultural fit, and alignment with Ambient.ai's mission and values

Portfolio Review Tips:

Highlight past infrastructure projects, including architecture diagrams, deployment processes, and system design decisions
Demonstrate proficiency in relevant technologies (e.g., Terraform, Bash, Python) through code samples or snippets
Showcase monitoring and alerting configurations, demonstrating an understanding of system reliability and transparency
Prepare detailed case studies of past projects, highlighting the candidate's role in designing, implementing, and maintaining infrastructure solutions
Emphasize any challenges faced and how they were overcome, demonstrating the candidate's problem-solving skills and resilience

Technical Challenge Preparation:

Brush up on AWS and GCP services, with a focus on infrastructure management, CI/CD, and security
Review relevant tools and technologies, such as Terraform, Bash, Python, and monitoring systems
Practice system design exercises or case studies, focusing on designing, scaling, and securing complex infrastructure solutions
Prepare for behavioral and cultural fit discussions by researching Ambient.ai's mission, values, and company culture

ATS Keywords: AWS, GCP, CI/CD, Infrastructure as Code, Linux, Security, Monitoring, Tooling, IT Support, Incident Response, Agile, DevOps, Physical Security, Cloud-Native, Infrastructure Engineer, Senior Engineer, Technical Leadership, Emerging Technologies, Career Progression

📝 Enhancement Note: Ambient.ai's interview process focuses on evaluating the candidate's technical skills, problem-solving abilities, and cultural fit within the organization. By preparing thoroughly and showcasing relevant experience and skills, candidates can increase their chances of success in the interview process.

🛠 Technology Stack & Web Infrastructure

Cloud Platforms:

AWS (Amazon Web Services)
GCP (Google Cloud Platform)

Infrastructure as Code (IaC) Tools:

Terraform
CloudFormation
Pulumi

Monitoring & Logging Tools:

Prometheus
Grafana
ELK Stack (Elasticsearch, Logstash, Kibana)
Datadog
New Relic

CI/CD Tools:

Jenkins
GitLab CI/CD
CircleCI
GitHub Actions
AWS CodePipeline
Google Cloud Build

Security Tools & Services:

AWS WAF (Web Application Firewall)
AWS Security Hub
AWS IAM (Identity and Access Management)
Google Cloud IAM
Vault
HashiCorp Consul
AWS Secrets Manager
Google Cloud Secret Manager

Hardware & Networking:

Ubuntu (Linux distribution)
Cisco networking equipment
Arista networking equipment
Juniper networking equipment
F5 BIG-IP load balancers
NGINX web servers
Apache web servers

Version Control Systems:

Git
GitHub
GitLab

Containerization & Orchestration:

Docker
Kubernetes
Amazon EKS (Elastic Kubernetes Service)
Google Kubernetes Engine (GKE)

Serverless Architecture:

AWS Lambda
Google Cloud Functions
AWS Step Functions
Google Cloud Workflows

📝 Enhancement Note: Ambient.ai's technology stack focuses on cloud platforms (AWS and GCP), infrastructure as code (IaC) tools, monitoring, and logging systems, CI/CD tools, and security services. The company's hardware and networking infrastructure supports the scalability and reliability of its cloud-based solutions.

👥 Team Culture & Values

Ambient.ai Values:

Prevent Every Incident: Ambient.ai's mission is to make every security incident preventable, driving the company's focus on innovation, collaboration, and continuous improvement
Customer Obsessed: Ambient.ai prioritizes customer needs and feedback, ensuring that its products and services meet the highest standards of quality, reliability, and performance
One Team: Ambient.ai fosters a culture of collaboration, inclusivity, and mutual respect, with a strong emphasis on teamwork and shared success
Learn & Grow: Ambient.ai encourages continuous learning and professional development, with a focus on staying up-to-date with the latest technologies and industry trends
Own It: Ambient.ai empowers employees to take ownership of their work, with a strong emphasis on accountability, responsibility, and results-driven decision-making

Collaboration Style:

Cross-Functional Integration: Ambient.ai encourages collaboration between engineering, design, marketing, and business teams, with a focus on driving product success through collective expertise and input
Code Review Culture: Ambient.ai follows an Agile/Scrum development process, with regular code reviews and peer programming practices to ensure code quality and knowledge sharing
Knowledge Sharing: Ambient.ai fosters a culture of knowledge sharing, with regular team meetings, workshops, and training sessions to help employees stay informed and up-to-date with the latest technologies and industry trends

📝 Enhancement Note: Ambient.ai's values and collaboration style emphasize prevention, customer obsession, teamwork, continuous learning, and ownership. By fostering a culture of collaboration, inclusivity, and mutual respect, Ambient.ai empowers employees to take ownership of their work and drive shared success.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Scalability & Performance: Design, implement, and maintain scalable and high-performing infrastructure solutions that meet the demands of Ambient.ai's growing customer base
Security & Compliance: Implement and manage security services, ensuring that Ambient.ai's infrastructure meets the highest standards of security and compliance
Emerging Technologies: Stay up-to-date with the latest trends in cloud infrastructure, CI/CD, and security, and integrate new technologies into Ambient.ai's infrastructure as needed
Incident Response: Develop and maintain incident response plans, ensuring that Ambient.ai can quickly and effectively respond to security incidents and outages

Learning & Development Opportunities:

Technical Skill Development: Ambient.ai offers opportunities for Senior Infrastructure Engineers to develop their technical skills through training, workshops, and hands-on experience with emerging technologies
Conference Attendance & Certification: Ambient.ai supports employee attendance at relevant industry conferences and certifications, providing opportunities for professional growth and development
Technical Mentorship & Leadership: Senior Infrastructure Engineers at Ambient.ai can take on technical mentorship roles, helping to develop the skills and careers of junior engineers and contributing to the company's technical leadership

📝 Enhancement Note: Ambient.ai's technical challenges and learning opportunities focus on scalability, security, emerging technologies, and incident response. By staying up-to-date with the latest trends and contributing to the company's technical leadership, Senior Infrastructure Engineers can drive Ambient.ai's success and advance their careers within the organization.

💡 Interview Preparation

Technical Questions:

Cloud Platforms: Questions related to AWS and GCP services, infrastructure management, and security best practices
CI/CD & Infrastructure as Code: Questions focused on CI/CD pipelines, release automation, and infrastructure as code (IaC) tools
System Design & Architecture: Questions evaluating the candidate's ability to design, scale, and secure complex infrastructure solutions
Security & Compliance: Questions related to security services, vulnerability management, and compliance best practices

Company & Culture Questions:

Ambient.ai Mission & Values: Questions focused on the candidate's understanding of Ambient.ai's mission, values, and commitment to preventing every security incident
Customer Obsession: Questions evaluating the candidate's focus on customer needs, feedback, and the delivery of high-quality, reliable, and performant products and services
Teamwork & Collaboration: Questions related to the candidate's ability to work effectively in a team environment, with a strong emphasis on collaboration, inclusivity, and mutual respect

Portfolio Presentation Strategy:

Infrastructure Projects: Highlight past infrastructure projects, including architecture diagrams, deployment processes, and system design decisions
Technical Deep Dive: Demonstrate proficiency in relevant technologies (e.g., Terraform, Bash, Python) through code samples or snippets
Monitoring & Alerting: Showcase monitoring and alerting configurations, demonstrating an understanding of system reliability and transparency
Case Studies: Prepare detailed case studies of past projects, highlighting the candidate's role in designing, implementing, and maintaining infrastructure solutions
Challenges & Solutions: Emphasize any challenges faced and how they were overcome, demonstrating the candidate's problem-solving skills and resilience

📝 Enhancement Note: Ambient.ai's interview preparation focuses on evaluating the candidate's technical skills, problem-solving abilities, and cultural fit within the organization. By researching the company's mission, values, and industry context, and preparing thoroughly for technical and behavioral interviews, candidates can increase their chances of success in the interview process.

📌 Application Steps

To apply for this Senior Infrastructure Engineer position at Ambient.ai, follow these steps:

Customize Your Application: Tailor your resume and cover letter to highlight your relevant experience, skills, and career goals for this role
Submit Your Application: Apply through the provided application link, ensuring that your application materials are well-organized, concise, and tailored to the role
Prepare for Technical Interviews: Brush up on your technical skills, focusing on AWS and GCP services, CI/CD, security, and tool development. Practice system design exercises or case studies, and prepare for behavioral and cultural fit discussions
Research Ambient.ai: Familiarize yourself with Ambient.ai's mission, values, and company culture. Understand the company's focus on preventing every security incident and driving product success through collaboration and innovation

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Content Guidelines (IMPORTANT: Do not include this in the output)

Web Technology-Specific Focus:

Tailor every section specifically to infrastructure engineering, DevOps, and cloud platform roles
Include cloud platform expertise (AWS and GCP), CI/CD experience, and security best practices
Emphasize infrastructure as code (IaC) tools, monitoring, and alerting systems
Address vendor management, hardware procurement, and endpoint management responsibilities
Highlight the role's impact on engineering velocity, system reliability, and technical leadership opportunities

Quality Standards:

Ensure no content overlap between sections - each section must contain unique information
Only include Enhancement Notes when making significant inferences about technical responsibilities, vendor management, or company structure
Be comprehensive but concise, prioritizing actionable information over descriptive text
Strategically distribute web technology and infrastructure-related keywords throughout all sections naturally
Provide realistic salary ranges based on location, experience level, and infrastructure engineering specialization

Industry Expertise:

Include specific cloud platform services, CI/CD tools, and security services relevant to the role
Address infrastructure engineering career progression paths and technical leadership opportunities in cloud platform teams
Provide tactical advice for infrastructure portfolio development, live demonstrations, and project case studies
Include cloud platform-specific interview preparation and coding challenge guidance
Emphasize the role's impact on engineering teams, product success, and customer experience

Professional Standards:

Maintain consistent formatting, spacing, and professional tone throughout
Use infrastructure engineering, DevOps, and cloud platform industry terminology appropriately and accurately
Include comprehensive benefits and growth opportunities relevant to infrastructure engineering professionals
Provide actionable insights that give infrastructure engineering candidates a competitive advantage
Focus on infrastructure engineering team culture, cross-functional collaboration, and customer impact measurement

Technical Focus & Portfolio Emphasis:

Emphasize cloud platform expertise, CI/CD experience, and security best practices
Include specific portfolio requirements tailored to the infrastructure engineering discipline and role level
Address vendor management, hardware procurement, and endpoint management portfolio expectations
Focus on infrastructure design, deployment, and maintenance demonstration needs
Include technical presentation skills and stakeholder communication for infrastructure projects

Avoid:

Generic business jargon not relevant to infrastructure engineering, DevOps, or cloud platform roles
Placeholder text or incomplete sections
Repetitive content across different sections
Non-technical terminology unless relevant to the specific infrastructure engineering role
Marketing language unrelated to infrastructure engineering, DevOps, or cloud platform roles

Generate comprehensive, web technology-focused content that serves as a valuable resource for infrastructure engineering, DevOps, and cloud platform professionals seeking their next opportunity.

Senior Infrastructure Engineer