Staff Platform Engineer at Beautiful.ai

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Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

250000.0

Posted On

09 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Platform Architecture, Infrastructure Scaling, Automation, Security, Observability, Incident Management, Cloud Infrastructure, High Availability, Scalability, Performance Optimization, Cost Efficiency, Infrastructure as Code (IaC), CI/CD Pipelines, Disaster Recovery, Monitoring, Alerting

Industry

Software Development

Description

Change the way the world presents. About Beautiful.ai Today, Beautiful.ai powers presentations for thousands of organizations worldwide, from fast-growing startups to Fortune 500 enterprises. Companies like SAP, HP, Rakuten, and LIV Golf rely on Beautiful.ai to communicate ideas with clarity and impact. As we continue to scale, we are redefining what modern presentation software looks like by combining intelligent design, automation, and AI to help teams move faster and tell better stories. About the role As a Staff Platform Engineer, you’ll take a leadership role in shaping the platform’s architecture and scaling infrastructure to meet the growing needs of the business. You will drive key initiatives in automation, security, observability, and incident management, while mentoring senior engineers, setting best practices, and influencing the long-term technical direction of the platform. What you'll be doing This is a hands-on role! You will be writing code and building systems as a major part of your day-to-day work. Take full ownership of the platform's cloud infrastructure, architecting and optimizing large-scale systems to ensure high availability, scalability, performance, and cost efficiency across multiple cloud providers. Lead the design and implementation of Infrastructure as Code (IaC) at scale, driving best practices and innovations in automation to improve infrastructure provisioning and management. Own the strategy for CI/CD pipelines, ensuring that they scale and adapt to our growing needs while optimizing for speed, reliability, and performance. Lead incident response efforts, define disaster recovery strategies, and ensure that the platform is resilient to failures by creating robust systems for uptime and reliability. Define and implement observability standards for logging, monitoring, and alerting, ensuring visibility into platform health and performance, and enabling rapid detection of issues. Contribute to security best practices in infrastructure and platform services, ensuring the system adheres to industry security standards. Mentor and lead engineering teams, guiding senior engineers, setting technical direction, and providing leadership on complex projects. Play a key role in developing the team’s technical capabilities. Work cross-functionally with leadership and other teams to define long-term technical roadmaps, contributing to business objectives by aligning platform engineering work with company strategy. Champion thought leadership in platform engineering by staying at the forefront of industry trends, evaluating emerging technologies, and sharing insights through internal talks, documentation, and community engagement. What we expect from you Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). A Master’s degree is a plus. 7+ years of hands-on experience in Software Engineering, with a backend or platform focus. Strong hands-on experience with GCP is preferred, but proficiency with any major cloud platform (e.g., AWS, Azure) is acceptable. Proven track record of driving complex technical initiatives from planning through execution to successful completion. Strong analytical skills with the ability to evaluate system performance, troubleshoot issues, and apply data-driven thinking to engineering decisions. Excellent communication and collaboration skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences. Ability to take on a role of a thought leader for the team and influence technical decisions throughout the organization. Demonstrated ability to partner with organizational leadership to help shape engineering strategy, influence resourcing decisions, and contribute to effective team design. Bay Area candidates preferred, or open to occasional travel as needed. Our tech stack Client Side: React, Webpack, vanilla Typescript/Javascript for SVG layout, rendering, and styling Server Side: Node.js with Express for API and server side rendering, various distributed node.js microservices Infrastructure on Google Cloud: App Engine, Firebase, MongoDB, PostgreSQL, Stackdriver, Storage Benefits: Flexible vacation policy and a fully remote work policy 100% Medical/Dental/Vision insurance covered for the employee / 60%-65% covered for dependents Comprehensive 401K program FSA and Commuter Benefits Competitive Equity with a 4 year vesting schedule Life / AD&D and Disability Coverage Parental leave for birthing or non-birthing parents We are happy to share the set target salary range for the seniority level outlined in all of our job descriptions. Candidates should keep in mind that the final offer will depend on multiple factors such as: your valuable experience and expertise, geographic location, overall compensation, and prevailing market rates. Remote - USA Pay Range $200,000—$250,000 USD Beautiful.ai is an equal opportunity employer and enthusiastically encourages people from a wide variety of backgrounds and experiences to apply. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), gender, national origin, citizenship, age, mental or physical disability, veteran status, marital status, sexual orientation or any other basis prohibited by law. ‍RECRUITMENT AGENCY POLICY Beautiful.ai does not accept any agency resumes. Please do not forward resumes to our employees or email aliases. Beautiful.ai is not responsible for any fees related to unsolicited resumes.

Responsibilities

This hands-on role involves writing code and building systems to take full ownership of the platform's cloud infrastructure, architecting and optimizing large-scale systems for availability, scalability, and cost efficiency. Key duties include leading initiatives in automation, CI/CD, incident response, and defining observability standards across multiple cloud providers.