> Markdown version of [/jobs/ext/3424472-cloud-architect](https://www.wearedevelopers.com/jobs/ext/3424472-cloud-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Architect - **Company:** Robots & Pencils - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $185,000.0 - $327,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Adobe InDesign, Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, BigQuery, Cloud Computing, Cloud Engineering, Cyber Security, Data Architecture, Extract Transform Load (ETL), Cursor, Fault Tolerance, Github, Python (Programming Language), PostgreSQL, MongoDB, NoSQL, Prometheus, Salesforce.Com, Scala (Programming Language), Software Engineering, TypeScript, Data Logging, Google Cloud, Large Language Models, Snowflake, Grafana, Cloudformation, Event Driven Architecture, Containerization, Kubernetes, HuggingFace, Machine Learning Operations, Cloudwatch, SailPoint, Terraform, Data Pipelines, Serverless Computing, Docker, Microservices - **Published:** September 20, 2026 - **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/senior-cloud-architect/11268959 ## About the Role * 5+ years of professional software engineering experience, with exposure to architectural decision-making * Working knowledge of cloud platforms and cloud-native architectures (e.g., AWS, Azure, GCP) * Proficiency in Python and at least one other language commonly used in modern stacks (e.g., Java, Scala, TypeScript) * Hands-on experience with containerization and orchestration (e.g., Docker, Kubernetes) * Experience with infrastructure as code and CI/CD pipelines (e.g., Terraform, CloudFormation, GitHub Actions) * Working knowledge of relational and NoSQL databases, plus data pipelines and ETL/ELT concepts (e.g., PostgreSQL, MongoDB, Airflow, dbt) * Familiarity with AI/ML system design, including model deployment, MLOps, and LLM integration (e.g., SageMaker, Vertex AI, MLflow, Hugging Face) * Understanding of microservices, serverless, and event-driven architectures * Awareness of security, compliance, and observability fundamentals (e.g. GDPR, HIPAA, SOC2) * Strong problem-solving skills and the ability to navigate ambiguous technical challenges * Demonstrable usage of AI-forward tools such as Claude and Cursor Helpful Extras and Unique Skills You'll Do Well Here if You Are * A doer. You see something broken and fix it. You'd rather move on clarity than wait for certainty. * A fast learner who knows you don't know everything. The AI landscape changes weekly. You're senior enough to know better and curious enough to keep learning anyway. * Direct in a way that makes the work better. You give honest feedback. You'd rather have the hard conversation than blow smoke. * Obsessed with craft. You know genius is in the details. You ship exceptional, not perfect, and you don't put your name on work you wouldn't stand behind. * Built for ownership. You honor commitments, admit mistakes fast, and back your teammates when a decision costs something. No handoffs, no finger-pointing. * All in. You treat clients' businesses like your own. You take the work seriously without taking yourself seriously. * Resourceful when the budget, timeline, or team is tight. Constraints don't slow you down. They sharpen you. * Glad to be in the room with people who care as much as you do. Our teams average fifteen-plus years of experience. We hire people who push each other to do better work. ## Description Be an Early Applicant Remote Hiring Remotely in US 53-73 Hourly Senior level Remote Hiring Remotely in US 53-73 Hourly Senior level Designs and delivers complex cloud, data, and AI/ML systems. Responsibilities include building cloud-native microservices, serverless and containerized workloads; implementing infrastructure as code, CI/CD, monitoring, and observability; contributing to data platforms and MLOps; and integrating LLM capabilities. The role collaborates with engineering, data, AI, and product teams, documents architecture, participates in design reviews, establishes best practices, and mentors junior engineers. The summary above was generated by AI, We're looking for a Senior Cloud Architect to contribute to the design and delivery of complex, multi-domain systems spanning cloud, data, and AI. This role is ideal for an experienced engineer growing into architectural ownership - someone who enjoys hands-on development, contributes to system design decisions, and is ready to take on larger pieces of the architecture. In this role, you will work as a delivery-embedded contributor on a cross-functional team, helping shape architecture across cloud infrastructure, data platforms, and AI/ML workloads. You'll collaborate closely with senior architects, engineers, and product partners to deliver solutions that are scalable, secure, and maintainable, and develop the technical instincts that come from shipping things that matter. Why This Role Matters At Robots & Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate. Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days. That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on. What You'll Do Craft & Delivery * Contribute to architectural design across cloud, data, and AI/ML systems, taking ownership of meaningful components * Build and integrate cloud-native solutions including microservices, serverless, and containerized workloads (e.g., AWS, Azure, GCP, Kubernetes, Docker) * Implement infrastructure as code and CI/CD pipelines (e.g., Terraform, CloudFormation, GitHub Actions) * Design and contribute to data architectures including pipelines, warehouses, and modeling (e.g., Snowflake, BigQuery, Airflow, dbt) * Support AI/ML system design, including model serving, MLOps pipelines, and integration of LLM-based capabilities (e.g., SageMaker, Vertex AI, MLflow) * Implement monitoring, logging, and observability across deployed systems (e.g., Prometheus, Grafana, CloudWatch) * Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace Collaboration & Communication * Collaborate with engineers, data, AI, and product teams to translate requirements into sound technical solutions * Communicate technical tradeoffs and design decisions clearly across functions * Maintain architecture documentation that supports reproducibility, onboarding, and shared understanding * Participate actively in design reviews, raising concerns and offering constructive feedback Leadership & Influence * Take ownership of system components end-to-end with growing scope of architectural responsibility * Contribute to architectural standards and best practices that lift the quality of work across the team * Begin mentoring more junior engineers, sharing knowledge and supporting their growth, Lead design and delivery of cloud-based data architectures and ETL/ELT pipelines for marketing analytics. Advise clients, integrate marketing data, build and optimize pipelines and reusable models, ensure data quality/security, mentor team members, and align technical solutions to business goals. Top Skills: APIsAWSAzureBigQueryDatabricksDbtDevOpsEtl/EltGeminiGCPGoogle Marketing PlatformJavaScriptKotlinOauthPythonQaSnowflakeSQL Block Software Engineer 9 Hours Ago In-Office or Remote CA, USA 185K-327K Annually Senior level 185K-327K Annually Senior level Blockchain * eCommerce * Fintech * Payments * Software * Financial Services * Cryptocurrency Design, build, scale, and operate high-volume payment APIs and distributed systems serving global traffic. Lead complex engineering projects from requirements through production, improve performance, observability, reliability, fault tolerance, and security, and participate in on-call incident response. Collaborate across product and engineering teams, use AI-assisted development tools responsibly, and mentor engineers through technical reviews, documentation, and guidance. Top Skills: AWSGoKafkaKotlinTypescript, SailPoint