> Markdown version of [/jobs/ext/2704063-cloud-engineer](https://www.wearedevelopers.com/jobs/ext/2704063-cloud-engineer). 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 Engineer - **Company:** Skyward Inc - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Bash Shell, Cloud Computing Security, Databases, Disaster Recovery, Identity and Access Management, Python (Programming Language), Open Source Technology, Ansible, System Availability, Large Language Models, Amazon Virtual Private Cloud (VPC), Terraform - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/cloud-engineer-skyward-8269564 ## About the Role * 3-5 years of hands-on AWS experience. You've built and run real environments, not just collected exam badges (though we like those too). * Solid comfort with core AWS services: compute, networking (VPC), IAM, storage, and managed databases. * A security-first reflex and familiarity with cloud-native security and compliance tooling (Security Hub, Config, Audit Manager, or similar). * Automation instincts. Python, Bash, and a genuine fondness for Infrastructure as Code (Terraform, Ansible), because clicking around the console doesn't scale. * An eye for cost optimization. You know the cheapest architecture and the best architecture are usually closer than people think. * All the curiosity. You'd rather understand why something broke than just restart it and hope. * A sense of humor and a calm head. When something's on fire at 2 a.m., you're the person everyone's relieved is on the call. ## Description We stand by our values, and we won't compromise on any of them. Integrity: We're conscientious, intentional, and empathetic. Our words and actions align. That's our character. Please don't ask us to play another part, we're poor actors. Compassionate: If we may borrow a quote from Theodore Roosevelt: "No one cares how much you know until they know how much you care." Because our team is thoughtful and supportive, caring deeply for each other, our clients, and our work, this comes naturally. Inquisitive: We remain students by failing openly and turning lessons into solutions. Unconventional: For us, life isn't what happens outside of work. Work happens inside of life and our culture erases the line often dividing the two. Authentic: Made possible only because we embody the values listed above. We're relaxed and fun yet intensely curious and driven. Team members are placed with thought, care, and precision to ensure that Trust, Truth, and Transparency continue to represent our brand. Because of that, we continue Onward, Upward, and Skyward., * Build the cloud where the magic lives. Design, deploy, and operate secure, scalable AWS environments (EC2, VPC, IAM, S3, Aurora, and Neptune) that keep our systems fast and our data exactly where it belongs, supporting CMS as it merges systems into one AI-driven platform. * Respect the pillars. Build to the AWS Well-Architected Framework, balancing performance, reliability, security, and cost like they actually matter (because they do). * Give AI a home. Stand up the cloud environment for AI, hosting open-source LLMs and ML workloads (think SageMaker, Glue, DataBrew) entirely within CMS's AWS account, so sensitive data never wanders off. * Keep the lights on. Implement high availability, disaster recovery, and COOP continuity so we hit our SLAs even on a genuinely bad day. * Make security non-negotiable. Wire up AWS Security Hub, Config, and Audit Manager to keep us continuously compliant inside a FISMA Moderate boundary aligned to RMF, ARS, and IS2P2. * Run a tidy multi-tenant house. Build isolated, segregated, quota-managed spaces where different teams can experiment with AI without elbowing each other. * Be the bouncer. Design least-privilege IAM and role-based access controls, then keep them honest with regular access reviews and audits. * Make it observable. Set baselines, configure monitoring and alerting, and turn system health into something the whole team can actually see, ideally before a user files a ticket. * Chase the waste. Model cloud costs, hunt down savings with tools like AWS Trusted Advisor, and help keep our AI workspace financially sane. ## Related Videos - [Dev & Test in the Cloud? 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