Software Engineer - Cloud

Job description

Who We Are Carnegie Robotics designs and manufactures advanced robotics systems and components for defense, agricultural, mining, industrial, and off-road autonomy applications. Our ruggedized solutions can meet the challenges of any industry, providing effective and efficient answers for even the toughest problems. Who We’re Looking For We are a dynamic team committed to making the impossible possible. Our staff comes from diverse backgrounds and experience levels, fueling our ethos of collective growth and passion towards our work. We warmly welcome individuals of similar mindset to join our ranks. For this role, we are seeking a solid engineer who can take full end-to-end ownership of cloud projects. Whether you call yourself a Cloud Engineer, a Backend Developer, or have transitioned from a Web Dev or ML background, we are looking for someone who can architect a solution, deploy the infrastructure, build the backend, and keep it running smoothly. What You’ll Be Doing As a Software Engineer focusing on cloud and backend infrastructure, you will be collaborating with an interdisciplinary team to support our robotics and R&D applications from the cloud side. You will "own" the end-to-end development of cloud projects. This means architecting the cloud solution, deploying the infrastructure, building proper REST APIs, coordinating with front-end developers, administrating the application, resolving user issues, and continuously optimizing for both performance and cost. What Your Day to Day Is Managing and Administrating AWS: Owning AWS accounts and infrastructure (account creation, billing, etc.). You will monitor the state of deployed applications, track what is driving costs, and optimize resources. Backend Development: Building and maintaining robust backend services and REST APIs, primarily in Python. Project Management & Scoping: Speaking with management, other developers, and external users to understand requirements. You will prioritize work to address critical needs, carefully scope requests, and know when to push back or defer work. Troubleshooting: Quickly digging into the application to diagnose and resolve user issues, even when provided with minimal or ambiguous information, and knowing exactly what follow-up questions to ask. Active, Iterative Development: Navigating fast-paced, ongoing development where requirements can change quickly. You will parse out work efficiently so it can be completed without requiring large, uninterrupted blocks of time. Observability & Security: Implementing security best practices, supporting other developers who need direct cloud resources, and using observability tools (Grafana, Prometheus, Datadog, etc.) to keep systems healthy. Leveraging AI: Utilizing modern AI development tools and assistants to accelerate workflows and problem-solving. What You’ll Have Authorization to work in the U.S. without restriction is required. The company is unable to provide sponsorship for this position. Education: A Bachelor’s degree in Computer Science, Computer Engineering, or a closely related field. Experience: A few years of actual cloud engineering, backend development, or highly related full-stack experience. AWS Proficiency: Deep experience with core AWS services (EC2, S3, Lambda, RDS, ECS) and familiarity with running serverless web apps (Lambda, API Gateway, CloudFront, S3 for static hosting). Python Proficiency: Strong skills in Python backend development, with an expectation of building proper REST APIs. Database Proficiency: Solid experience with SQL databases (especially PostgreSQL) and NoSQL databases (expected familiarity with DynamoDB, MongoDB, etc.). Infrastructure-as-Code (IaC): Hands-on experience deploying infrastructure using code (Terraform is preferred, but AWS CloudFormation/CDK is acceptable). AI Tooling: You are proficient in and open to using modern AI tooling to assist in writing code, debugging, and architecting solutions. How You’ll Stand Out Certifications: Active AWS Certifications (Solutions Architect, Developer, etc.). Frameworks & Languages: Experience with FastAPI (a big plus), or other Python frameworks like Flask and Django. Familiarity with TypeScript/JavaScript or C++ is highly valued. Frontend Skills: Experience with front-end development, especially React. Advanced Cloud/DB Skills: Experience with Kubernetes, Aurora Serverless, or experience operating in other cloud providers. Machine Learning Infrastructure: Experience setting up training infrastructure (e.g., managing GPU usage in AWS) and building efficient data pipelines. Industry Experience: Experience in defense-related government contracting. What You'll Get Out Of It UPMC health coverage with FSA or HSA options Comprehensive dental, vision, and life insurance Fidelity 401(k) plan with employer match Free catered lunch every day with a vegan option 31 Days of PTO (including holidays) Comp time for company travel Carnegie Robotics is an Equal Opportunity Employer that welcomes applications from all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, marital status, or status as a covered veteran in accordance with applicable laws and Carnegie Robotics’ employment policies.