Sr. AWS Cloud Engineer/Developer

Summary of Cloud role:

The key is finding a cloud-native AWS developer with strong Python-based AWS Lambda development experience.

• Must have hands-on experience building AWS Lambda functions in Python from scratch. Candidates who primarily write Lambdas in Java or Node.js are not a fit.
• Should have a Java development background, but have transitioned to Python and AWS and spent at least the last 4+ years focused on Python-based AWS development.
• Strong knowledge of core AWS services and cloud-native application development is required.
• Must have experience with Terraform (IaC), as the team has moved away from CloudFormation.
• Python automation experience is valuable, but they also need hands-on experience using Python to build and migrate Lambda applications as part of modernization or rewrite initiatives.

Senior Cloud Developer (AWS Lambda / Python / Terraform)

• Citizenship: and GC
• Location: Remote (CST/EST only; local candidates preferred, NO PST)
• Requirements:
• 12 15+ years U.S. experience
• Strong cloud-native background
• AWS Lambda (Python)
• Kafka
• API Gateway
• Java background and has transitioned to AWS/Python/serverless
• Strong communication with non-technical stakeholders
• Not a fit: Candidates currently focused on Java, DevOps, or SRE

We are not looking for:

• Full Stack Developers
• Multi-cloud specialists
• Candidates whose primary expertise is Azure
• Frontend-focused developers
• Heavy infrastructure or DevOps
• Linux Administration
• Site Reliability Engineers
• Platform Engineers
• Heavy A.I.

Must-Haves and What We Look For:

• 10+ years of U.S. work experience
• Must be located in the Central (CST) or Eastern (EST) time zone
• Strong technical background in:
• AWS
• Python
• Backend Java
• Serverless technologies
• Candidates should have a Java foundation and have successfully transitioned into AWS, Python, and serverless development.
• Excellent communication skills, both verbal and written
• A well-written, authentic resume that accurately reflects the candidate's experience. We screen out resumes that appear overly polished, AI-generated, or contain experience the candidate cannot confidently speak to.
• A complete LinkedIn profile with a professional photo and experience that aligns with the resume. If the LinkedIn profile does not include a photo, an identification card photo will be required at the time of submission.
• Comfortable with a multi-step interview process, including:
• All interviews conducted via Microsoft Teams video
• No headphones during interviews
• Professional interview setting (avoid sitting directly in front of a plain white wall)
• Candidates should be authentic and engaging throughout the interview process. They should be able to comfortably answer conversational questions such as:
• "Tell me about where you currently live."
• "What has been your favorite project and why?"
• We screen out candidates who:
• Simply read from their resume
• Focus only on technical topics
• Avoid or fail to directly answer interview questions