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.

• Customise Dynamics 365 CE including entities, business rules, workflows, and plugins using the D365 SDK and Power Platform tools • Design and develop Power Apps (canvas and model-driven) and automate processes using Power Automate • Extend system functionality using C#, .NET, Power Fx, JavaScript, Azure Function Apps, and Logic Apps • Create and manage data models using Microsoft Dataverse • Develop and maintain Power BI dashboards for operational and strategic reporting • Implement integrations via REST APIs, Azure services, and custom connectors • Use solution management and ALM practices, maintaining version control and deployment pipelines via Azure DevOps and Git • Ensure adherence to security, performance, and governance best practices

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Join a Platform Operations team that builds, operationalizes, and supports the cloud platforms at the heart of a modern development environment. The team focuses on cloud infrastructure, architecture, networking, CI/CD, Infrastructure as Code, and improving the developer experience across a growing AWS ecosystem. You are a hands-on technologist and problem solver who understands cloud software delivery. You are comfortable with the tools and processes that enable efficient and resilient delivery using modern engineering practices. - Design and Implementation (75 percent) - Build solutions using Agile, CI/CD, and DevOps best practices. - Write code to automate the infrastructure lifecycle and create internal tools using IaC and CLIs. - Partner with domain experts in Security, Infrastructure, Networking, Observability, Delivery, and Operations to research, analyze, and implement new capabilities. - Contribute to the growth of the Cloud Engineering program through thought leadership and practical tooling and process improvements. - Continuously develop skills to thrive in a poly-skilled, agile engineering environment. - Team Operations and Success (25 percent) - Implement cloud first architectural solutions and best practices. - Participate in sprint planning, backlog refinement, daily standups, demos, and retrospectives. - Contribute to peer reviews of engineering artifacts. - Maintain, operate, and monitor platform products and infrastructure. - Help identify and resolve production and production-like issues. - Ensure adherence to development standards and security policies and procedures. Qualifications - 3 plus years working with Infrastructure as Code, CI/CD frameworks, immutable infrastructure, automation, orchestration, and modern DevOps patterns. - Strong knowledge of cloud computing, DevOps, and microservices concepts. - Hands-on experience with distributed cloud infrastructure in AWS. - Experience building event-driven, serverless cloud applications. Requirements - AWS services such as Lambda, SNS, SQS, S3, Step Functions, EC2, ECS, VPC, IAM, CloudWatch. DynamoDB experience is a plus. - Coding and scripting with Python and JavaScript. Experience with Node.js and React.js is helpful. Benefits - Healthcare Benefits including Medical, Prescription, Vision & Dental Coverage | United Healthcare - Voluntary STD & LTD | New York Life - 401(k) Retirement Planning | Fidelity - Discount Program

About Us We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. We’re looking for a Developer with 2–3 years of experience who is ready to work in an AI-assisted format: using AI tools to speed up development while maintaining quality through architecture, tests, code reviews, and proper validation. We’re in the middle of an engineering transformation—adopting modern practices, improving our delivery process, and scaling AI-assisted development in a responsible way. We have a strong base of real-world experience and proven approaches, and we’re building the next iteration of our engineering playbook. You’ll have room to learn, experiment, and help shape how we work—while staying grounded in quality, reliability, and maintainability. Responsibilities - Develop and maintain backend services for a web application - Build integrations with external data sources/destinations (HTTP APIs) - Fix bugs, handle incidents, and work with technical debt - Optimize database queries and overall performance (identify and remove bottlenecks) - Participate in designing mid-sized features and collaborate with QA/Analysts - Perform code reviews and support junior developers - Move toward AI-assisted development (vibe coding): generate/refactor code, write tests and documentation with AI tools, with mandatory validation (testing, review, architectural consistency) Requirements - 2–3 years of commercial software development experience - Strong Python or JavaScript skills (backend) - Hands-on experience using AI tools for coding and understanding how to validate and safely ship AI-generated output - Database experience: SQL, PostgreSQL (ClickHouse is a plus) - Solid understanding of HTTP and integration patterns - SQL query optimization skills - Ability to work independently in situations with some uncertainty - Location: outside of Russia Nice to Have - Experience with profiling and performance tuning - Production experience with data pipelines/integrations - Familiarity with reliability practices: logging, monitoring, alerting What We Offer - Remote-first environment - Strong product/market fit: marketing data product for US-based enterprises - 20 working days of PTO per year - US holidays and additional days off - Extremely fun & open startup environment - Professional development reimbursement - Clear growth path toward team leadership