Software Engineer - Cloud

Carnegie Robotics•Pittsburgh, PA

4d•Onsite

About The Position

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. 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.

Requirements

Authorization to work in the U.S. without restriction is required. The company is unable to provide sponsorship for this position.
A Bachelor’s degree in Computer Science, Computer Engineering, or a closely related field.
A few years of actual cloud engineering, backend development, or highly related full-stack experience.
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).
Strong skills in Python backend development, with an expectation of building proper REST APIs.
Solid experience with SQL databases (especially PostgreSQL) and NoSQL databases (expected familiarity with DynamoDB, MongoDB, etc.).
Hands-on experience deploying infrastructure using code (Terraform is preferred, but AWS CloudFormation/CDK is acceptable).
Proficiency in and openness to using modern AI tooling to assist in writing code, debugging, and architecting solutions.

Nice To Haves

Active AWS Certifications (Solutions Architect, Developer, etc.).
Experience with FastAPI (a big plus), or other Python frameworks like Flask and Django.
Familiarity with TypeScript/JavaScript or C++ is highly valued.
Experience with front-end development, especially React.
Experience with Kubernetes, Aurora Serverless, or experience operating in other cloud providers.
Experience setting up training infrastructure (e.g., managing GPU usage in AWS) and building efficient data pipelines.
Experience in defense-related government contracting.

Responsibilities

Collaborating with an interdisciplinary team to support our robotics and R&D applications from the cloud side.
Owning the end-to-end development of cloud projects, including 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.
Managing and Administrating AWS accounts and infrastructure (account creation, billing, etc.).
Monitoring the state of deployed applications, tracking costs, and optimizing resources.
Building and maintaining robust backend services and REST APIs, primarily in Python.
Speaking with management, other developers, and external users to understand requirements.
Prioritizing work to address critical needs, carefully scoping requests, and knowing when to push back or defer work.
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.
Navigating fast-paced, ongoing development where requirements can change quickly, parsing out work efficiently.
Implementing security best practices.
Supporting other developers who need direct cloud resources.
Using observability tools (Grafana, Prometheus, Datadog, etc.) to keep systems healthy.
Utilizing modern AI development tools and assistants to accelerate workflows and problem-solving.