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Python Developer With Aws Jobs in Brookings, SD (NOW HIRING)

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

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Python Developer With Aws information

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$12

$53

$79

How much do python developer with aws jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for python developer with aws in Brookings, SD is $53.97, according to ZipRecruiter salary data. Most workers in this role earn between $44.47 and $61.30 per hour, depending on experience, location, and employer.

What does a Python developer with AWS do?

A Python Developer with AWS specializes in designing, building, and maintaining applications using the Python programming language on Amazon Web Services (AWS) cloud infrastructure. Their responsibilities often include writing efficient Python code, integrating with AWS services like Lambda, S3, and EC2, and deploying scalable cloud-based solutions. They also ensure that applications are secure, cost-effective, and optimized for performance within the AWS ecosystem. This role requires a solid understanding of both Python programming and AWS cloud services.

What are the key skills and qualifications needed to thrive as a Python developer with AWS?

To thrive as a Python Developer with AWS, you need strong proficiency in Python programming, experience with AWS cloud services, and a relevant degree or equivalent experience in computer science or software engineering. Familiarity with tools like AWS Lambda, EC2, S3, and knowledge of CI/CD pipelines, as well as certifications such as AWS Certified Developer, are commonly required. Problem-solving, effective communication, and adaptability are critical soft skills for collaborating with teams and addressing evolving technical challenges. These skills and qualifications are vital for building robust, scalable cloud-based applications and ensuring efficient deployment in dynamic environments.

How do Python developers with AWS typically collaborate with other teams in a cloud-based project environment?

Python Developers with AWS frequently work alongside DevOps engineers, cloud architects, and front-end developers to design, build, and deploy scalable cloud solutions. Collaboration often involves participating in sprint planning, code reviews, and regular stand-up meetings to ensure alignment on cloud infrastructure, API integrations, and deployment strategies. Effective communication and a solid understanding of AWS services are essential, as developers may need to coordinate on topics like CI/CD pipelines, monitoring, and security best practices. This collaborative environment fosters continuous learning and helps ensure that projects meet both technical and business objectives.

What is the difference between Python Developer With Aws vs Python Developer?

AspectPython Developer With AwsPython Developer
Required SkillsPython, AWS services, cloud computing, DevOps toolsPython, data structures, algorithms, web frameworks
CertificationsAWS certifications (e.g., AWS Certified Developer)None typically required, but certifications like PCAP can help
Work EnvironmentCloud-based projects, cloud infrastructure managementWeb development, data analysis, software engineering
Industry UsageTech companies, cloud service providers, startupsSoftware firms, finance, healthcare, tech industries

Python Developer With Aws focuses on integrating Python skills with AWS cloud services, emphasizing cloud infrastructure and DevOps. In contrast, Python Developer is broader, covering various development environments and applications. Both roles require Python expertise, but the AWS component adds cloud-specific knowledge for the Python Developer With Aws role.

Infographic showing various Python Developer With Aws job openings in Brookings, SD as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution, with an average salary of $112,258 per year, or $54 per hour.

AI Agent Trajectory Annotator and Reviewer

Brookings, SD

$20 - $30/hr

Full-time

Posted 9 days ago


Job description

Type: Contract, hourly

Location: Remote

Hours: 20–30 per week

Pay: $20–30/hour, based on experience and language coverage

Start: Immediate

ABOUT THE ROLE

We evaluate how well advanced AI coding agents solve real engineering problems. An agent is given a real open source codebase inside a container and a hard task, then works on its own for 80 to 250 steps. A trajectory is the full record of that run — every command, result, and decision.

You will do two jobs, and you should expect either on any given day.

•Annotate — Read a trajectory nobody has looked at yet and judge it step by step.

• Review — Take an existing annotation, written by our AI tooling or another person, and confirm, correct, or reject it.

TASKS YOU'LL SEE

• Feature build — Add a working feature to a live library without breaking anything that already worked.

• Rebuild — Work out what a compiled tool does by running it, then rebuild it to match its output, exit codes, and file effects.

• Bug hunt — Find and fix twenty undocumented bugs across a dozen files with no test suite, then record what caused them.

Mostly Python and Go, with some Rust, C, and Ct+. A trajectory runs about 100 steps.

WHAT YOU JUDGE IN A TRAJECTORY

• Was the command right for the state the environment was actually in?

• Did the agent read the previous output correctly?

• Was the step wrong, or only inefficient — these are scored differently.

• Where did the run first go off course — usually earlier than where it visibly broke.

• Did the agent notice its own mistake and recover, or keep building on a false assumption?

• Did it game the grader instead of solving the task (e.g., weakening a test or hardcoding an expected value)?

WHAT WE NEED FROM YOU

• Experience — 2+ years in software engineering, DevOps, or site reliability, with real debugging in real codebases.

• Languages — Strong in Python or Go, and able to read a language you've never used.

• Linux — Comfortable with logs, running processes, build failures, and containers.

• Workflow — Everyday Git, diffs, pull requests, and issue tracking.

• Debugging — Able to work with no test suite and no error message pointing at the cause.

• Focus — Able to hold context across a long run, because step 74 can depend on step 12.

• Writing — Clear English, since every judgement needs an explanation another engineer can check.