Senior Cloud Infrastructure Engineer at VTI Aerospace

Job description

As a Senior Cloud Infrastructure Engineer, you will design, build, and operate scalable, cost-efficient cloud infrastructure that powers our machine learning workloads, data systems, and production services. You will help ensure our platform is reliable, performant, and easy for engineers to deploy and operate as we scale. You will work closely with engineering teams to design and scale infrastructure that supports AI workloads and help bring AI-powered aviation tools to market. This role is ideal for someone who enjoys designing scalable systems and building infrastructure that enables machine learning teams to ship quickly and reliably, and wants to have a direct impact on the foundation of our technical platform. LOCATION Work arrangement: On-site Primary location: Seattle, WA About VTI Aerospace VTI Aerospace builds AI-powered perception and pilot assist technologies to unlock the future of aviation. With offices in Bozeman, MT and Seattle, WA, we are a team of engineers and technologists from Boeing, Airbus, Aurora, and beyond. We are passionate about pushing the boundaries of autonomy and aviation safety. Our company is dedicated to advancing the field of aviation with cutting-edge solutions What You'll Do Lead infrastructure architecture decisions and guide best practices for cloud systems and deployment workflows Design and implement cost-effective AWS infrastructure for deploying and operating vision and language models Build and maintain scalable systems for data storage, processing, and analytics Maintain, improve, and scale existing cloud infrastructure and services Identify inefficient deployment patterns and implement improvements to increase reliability and reduce operational cost Design and implement scalable CI/CD pipelines to support rapid and reliable deployments Maintain and scale relational and time-series database infrastructure Develop and maintain infrastructure-as-code using OpenTofu and related tooling Improve observability, monitoring, and operational tooling across cloud services and applications Work with engineering teams to ensure infrastructure supports performance, reliability, and security requirements What We're Looking For 5+ years of experience building and operating production software or infrastructure systems Strong experience designing and operating cloud infrastructure, preferably on AWS Experience building and maintaining infrastructure-as-code using tools such as OpenTofu, Terraform, or similar frameworks Experience developing infrastructure, automation, or backend services in Python or similar programming languages Experience designing and operating scalable systems for data processing, machine learning workloads, or high-throughput services Experience building or maintaining CI/CD pipelines and deployment automation Familiarity with relational databases and time-series data systems Strong understanding of system reliability, observability, and performance optimization Ability to identify inefficiencies in systems and improve scalability, reliability, and cost efficiency Strong communication and collaboration skills and ability to work across engineering teams Bonus Points Domain knowledge in aviation, autonomous systems Experience deploying or supporting machine learning models in production environments Experience supporting computer vision or large language model workloads Experience operating large-scale cloud infrastructure in cost-sensitive environments Experience working in early-stage startups or fast-moving engineering teams Experience with distributed systems and high-volume data pipelines Why You'll Love Working Here Opportunity to work on meaningful problems in aviation and deliver products to industry at a rapid pace Small team with significant impact on company direction Collaborative and innovative environment Competitive compensation and benefits Opportunities for growth and leadership Benefits may include: Health, dental, and vision insurance Retirement plan or 401(k) Paid time off and holidays Professional development opportunities VTI offers a fast-paced and dynamic work environment that focuses on technical excellence and collaboration. Additionally, we foster a culture of work-life balance to prevent burn-out. Compensation packages are comprised of salary and incentive stock options. Salaries may range from $80,000 to $175,000 per year depending on role and individuals experience. VTI additionally offers 401K with a 4% match, an unlimited PTO policy, and health care reimbursement up to the IRS allowable limit through QSEHRA. VTI is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status or disability status. All job offers are contingent upon the candidate passing background, and reference checks. At this time, we are unable to provide visa sponsorship or consider candidates who require visa transfers. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future. APPLY TODAY! Didn't find the position you're looking for? Send us your resume! OPEN SUBMISSIONS

Requirements

Must-haves

You will work closely with engineering teams to design and scale infrastructure that supports AI workloads and help bring AI-powered aviation tools to market.
Work arrangement: On-site
Primary location: Seattle, WA
Lead infrastructure architecture decisions and guide best practices for cloud systems and deployment workflows
Design and implement cost-effective AWS infrastructure for deploying and operating vision and language models
Build and maintain scalable systems for data storage, processing, and analytics
Maintain, improve, and scale existing cloud infrastructure and services
Identify inefficient deployment patterns and implement improvements to increase reliability and reduce operational cost
Design and implement scalable CI/CD pipelines to support rapid and reliable deployments
Maintain and scale relational and time-series database infrastructure
Develop and maintain infrastructure-as-code using OpenTofu and related tooling
Improve observability, monitoring, and operational tooling across cloud services and applications
Work with engineering teams to ensure infrastructure supports performance, reliability, and security requirements
5+ years of experience building and operating production software or infrastructure systems
Strong experience designing and operating cloud infrastructure, preferably on AWS
Experience building and maintaining infrastructure-as-code using tools such as OpenTofu, Terraform, or similar frameworks
Experience developing infrastructure, automation, or backend services in Python or similar programming languages
Experience designing and operating scalable systems for data processing, machine learning workloads, or high-throughput services

Nice-to-haves

Domain knowledge in aviation, autonomous systems
Experience deploying or supporting machine learning models in production environments
Experience supporting computer vision or large language model workloads
Experience operating large-scale cloud infrastructure in cost-sensitive environments
Experience working in early-stage startups or fast-moving engineering teams
Experience with distributed systems and high-volume data pipelines

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Keywords to mirror

machine learningaiawsci/cdpython

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Benefits

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Dental

Vision

401k

401(K)

Pto

Paid Time Off

Professional Development