AWS Infrastructure Management with Scripting

@bindmission

Hello, I have 10 years of experience in AWS infrastructure management and scripting. I am skilled in AWS services, including Lambda, and have proficiency in Python and Bash. I am familiar with Uvicorn and Poetry and can set up and manage code pipelines efficiently. My strong background in deployment automation ensures reliable and robust infrastructure management. I am attentive to detail and adept at solving complex problems. I look forward to bringing my expertise to your project. Regards, VishnuLal NB*

@KavyaTechNepal

Namaste, I’d love to support you with AWS infrastructure management and deployment automation. I have experience working with AWS Lambda, Python, Bash, Uvicorn, Poetry, and CI/CD pipelines, with a focus on reliable and maintainable deployments. I can help configure Lambda environments, manage Python dependencies with Poetry, deploy Uvicorn-based applications, automate code pipelines, troubleshoot infrastructure issues, and improve deployment workflows. I’ll focus on clean scripting, reliability, security, and clear documentation. Best regards, Amit G. Kavya Tech Nepal Freelancer Profiles: https://www.freelancer.com/u/iamamitgupta1994 https://www.freelancer.com/u/KavyaTechNepal

@kumarashish99

As an AWS-certified professional with a proven ability to streamline infrastructure management, coordinate code pipelines, and automate deployments, I believe I'm excellently positioned for your project. Over the past 5 years, I have honed my backend development skills in Python, Node.js, and PHP, favoring a serverless approach that aligns well with AWS Lambda - one of your key requirements. I meticulously integrate necessary automation using tools like Terraform and CloudFormation to ensure seamless CI/CD workflows, which include the critical steps of setting up Uvicorn and Poetry. My problem-solving acumen alongside deep comprehension of operating in Linux environments makes resolving any challenges during scripting with Python, Bash or PowerShell second nature. Let's discuss how we can implement these strengths together for successful AWS infrastructure management.

@sarthaktyagi0

I’m a Cloud/DevOps Engineer with strong hands-on experience in AWS infrastructure, Lambda, Python, Bash scripting, CI/CD, and deployment automation. I can help manage your AWS environment and build reliable pipelines for deploying and maintaining Lambda-based applications. I’m comfortable working with Python-based applications and deployment tooling, including Uvicorn and Poetry, and can troubleshoot dependency, packaging, runtime, and deployment issues. I can also automate repetitive infrastructure and deployment tasks through scripting and CI/CD. My approach would be to first understand your existing AWS architecture and deployment workflow, then improve reliability, automation, and maintainability without unnecessarily complicating the setup. I’m available to start quickly and can take ownership of both the infrastructure and deployment side of the project.

@alluankit01

Hi, I can help manage your AWS infrastructure with scripting, Lambda setup, deployment automation, Uvicorn/Poetry configuration, and code pipeline support. The best solution is to first review your current AWS setup, Lambda functions, deployment workflow, Python project structure, Poetry dependencies, Uvicorn service needs, environment variables, and pipeline requirements. Then I’ll clean up the configuration, automate repeatable tasks, and make deployments more stable and easier to maintain. I’m comfortable with AWS Lambda, Python scripting, Bash, Linux, Poetry, Uvicorn, deployment automation, CI/CD pipelines, environment configuration, logging, troubleshooting, and infrastructure maintenance. Deliverables will include: * AWS Lambda setup/support * Python/Bash automation scripts * Poetry dependency configuration * Uvicorn deployment support * Environment variable setup * Code pipeline configuration * Deployment troubleshooting * Basic monitoring/logging review * Clear setup notes I’ll focus on reliable AWS operations, clean scripts, and repeatable deployment workflows so your infrastructure is easier to manage and update without manual errors. Best regards Ankit

@HemantGSingh

Hey, AWS & Python DevOps expert with proven experience in Lambda, Poetry, Uvicorn, and automated CI/CD pipelines. Ready to optimize and deploy your infrastructure seamlessly!. Lets have a quick call to discuss on it. Hemant

@thiagofoz87

Your project requires more than basic AWS administration because Lambda environments, dependency management with Poetry, and ASGI deployments using Uvicorn usually become difficult when scalability, reproducibility, and deployment reliability are not well structured. I can help organize and manage the infrastructure with a focus on automation, maintainability, and predictable deployments. My experience includes AWS services such as Lambda, SQS, SNS, S3, containerized workloads, CI/CD pipelines, infrastructure scripting, and backend environments built with Python and modern deployment tooling. For this project, I would focus on: - Structuring deployment workflows for Lambda and related services - Automating environment setup and release processes using Python/Bash scripting - Improving dependency management and packaging with Poetry - Configuring stable execution environments for Uvicorn-based applications - Setting up or refining code pipelines for consistent deployments and rollback safety - Monitoring logs, execution failures, and infrastructure bottlenecks I work with an engineering-oriented approach, prioritizing reliability, clear implementation steps, and fast iteration during setup and maintenance. If needed, I can also assist with architecture improvements, cost optimization, and production hardening across the AWS environment.

@simma0501

Scope Understanding: Your AWS environment requires reliable infrastructure management, Lambda expertise, automation, and deployment pipelines to improve operational efficiency. Who we are: SCAIMLON LABS PVT. LTD. is a Bengaluru & Chennai-based Cloud MSP and certified Azure, AWS, and Google Partner specializing in cloud infrastructure, DevOps, automation, and multi-cloud engineering. Your Ask: Manage AWS services including Lambda, automate deployments, create scripts, and maintain application delivery workflows using modern DevOps practices. Our Solution Approach: We will review your AWS setup, optimize Lambda configurations, automate operational tasks using Python/Bash/PowerShell, configure CI/CD pipelines, and streamline deployments using AWS best practices. We will work with Uvicorn and Poetry-based Python applications to ensure reliable packaging, deployment, and operational support. Deliverables: AWS optimization, Lambda management, automation scripts, CI/CD pipelines, deployment documentation. Relevant Experience: Firepack required a reliable AWS cloud foundation for application delivery. Platform: AWS. Problem solved: infrastructure automation, security configuration, and deployment readiness. Outcome: scalable environment with documented handover. Call to Action: If you need reliable AWS DevOps support with automation and production-focused practices, SCAIMLON LABS is ready to deliver.

@winston052790

Hello, I am writing to express my interest in the AWS Infrastructure Management position with a focus on scripting. With experience in Python, Linux, Software Architecture, and Amazon Web Services, I am confident in my ability to help manage AWS infrastructure using services like Lambda, Uvicorn, and Poetry. I have a strong background in deployment automation and setting up code pipelines, along with proficiency in scripting with Python and Bash. I believe my skills and experience make me an ideal candidate for this role. Thank you. Sincerely, Winston

@shivani894694

Having devoted the last 10 years of my professional life to AWS and related technologies, I can confidently say that I am well-versed in the realm of AWS infrastructure management. My expertise in services like Lambda and tools like Uvicorn and Poetry are a testament to my hands-on experience with AWS. I am also no stranger to setting up and managing code pipelines crucial for deployment automation. What sets me apart is not only my knowledge but also my ability to adapt and solve problems meticulously. My scripting proficiencies in Python, Bash, and PowerShell have proven invaluable in addressing challenges head-on and ensuring smooth operations for my clients. With this wide array of scripting languages, I'm confident that I can comfortably handle any range of tasks associated with your project. Finally, it's worth noting that I've had a deep commitment to refining my skills, experimenting, and staying up-to-date with the latest developments in the field. All this ensures that I not only deliver clean, maintainable, and high-performance solutions but also keep you ahead of the curve in an ever-evolving AWS landscape. Let's partner up to optimize your AWS infrastructure.

@elioh740

The main requirement is reliable AWS infrastructure management with deployment automation, so I would first review your current Lambda setup, deployment flow, and application structure to identify improvements or missing automation steps. I can help manage AWS services, configure Lambda workflows, and streamline deployments using scripting and pipeline practices. I am comfortable working with Python-based environments, including Uvicorn and Poetry, to maintain consistent builds and reliable releases. The focus would be on creating a maintainable setup with clear scripts, repeatable deployments, and efficient troubleshooting processes. I would ensure the infrastructure is organized so future updates can be handled smoothly. Could you share your current deployment pipeline and whether your Lambda functions are managed through AWS SAM, Serverless Framework, Terraform, or another approach?

@indrasenareddy1

Proposal I can help manage and automate your AWS infrastructure, with a focus on Lambda-based deployments and a clean CI/CD pipeline around your Python stack (Uvicorn + Poetry). Plan: Review current AWS setup (Lambda functions, IAM, networking) and identify gaps or manual steps Standardize dependency management with Poetry and containerize/package for Lambda (layers or container images as needed) Set up Uvicorn-based services for local dev/testing parity with Lambda's async runtime Build/automate a code pipeline (CodePipeline, GitHub Actions, or your preferred tool) for build → test → deploy Add scripting (Python/Bash/PowerShell) for repeatable ops tasks — deployments, rollbacks, environment config Document the setup so it's maintainable beyond this engagement I have hands-on experience with AWS infrastructure management, Lambda deployment automation, and multi-language scripting, and I pay close attention to reliability and cost efficiency, not just "getting it deployed." Available to start immediately — happy to do a quick call to understand your current architecture before scoping the first milestone.

@bhargav922002

Hello, I’m Bharghav, with 10 years of experience in matching job skills, particularly in AWS infrastructure management, Python, and Linux. I specialize in providing tailored solutions to complex technical challenges. I have thoroughly understood your requirements for managing AWS infrastructure, including services like Lambda. I will efficiently set up your code pipelines and utilize Uvicorn and Poetry, ensuring smooth deployment automation while adhering to best practices. Let’s start a chat to discuss your project further and explore how I can contribute to your goals. Best regards, bhargav922002

@sandeep978452

Hi there, I am a skilled DevOps engineer and backend developer with strong hands-on experience in managing AWS infrastructure. Having worked on multiple scalable projects like Eduka and Adventure Tech, I specialize in deploying and maintaining applications using AWS Lambda and other core cloud services. My technical stack aligns perfectly with your requirements: AWS & Lambda: Extensive experience in serverless architecture and managing complex AWS environments. Python ecosystem: I am highly proficient in Python and modern dependency management tools like Poetry, as well as serving ASGI applications using Uvicorn. Scripting & Automation: I regularly write Bash and Python scripts to automate tasks and streamline workflows. CI/CD Pipelines: I have a strong background in setting up, optimizing, and managing robust code pipelines for automated, error-free deployments. I focus heavily on problem-solving and ensuring deployment automation is smooth and scalable. I would love to bring my expertise to your team and help streamline your infrastructure. Looking forward to discussing the project details with you! Best regards, Sandeep Kumar

@ronakkataria1

Hi — the Uvicorn and Poetry mention tells me this is a FastAPI service going onto Lambda, which has one specific trap worth naming up front. Uvicorn is an ASGI server; Lambda is invocation-based. Running Uvicorn inside Lambda means you're paying cold-start for a web server that never serves a second request. Mangum (or the AWS Lambda Web Adapter) bridges ASGI to the Lambda handler properly, so FastAPI routes work without the server layer. If you're already on Uvicorn-in-container that's fine too — but the two setups have very different cold-start and cost profiles, and it's worth choosing deliberately. What I'd bring: - Poetry to Lambda packaging: dependency groups so dev tooling doesn't ship, and layers for the heavy shared deps to keep deploys fast and under size limits. - Pipelines: build, test, deploy per environment, with the deploy artefact identical across stages — promote the same bundle rather than rebuilding per environment. - Scripting in Python and Bash for the operational pieces: log queries, batch invocations, teardown of orphaned resources. AWS Solutions Architect and ML Specialty certified; I've run multi-cloud infrastructure across AWS, Azure and GCP in production. Questions: 1. Lambda via container image or zip + layers? 2. Is IaC in place (SAM, CDK, Terraform, Serverless), or scripted? 3. Which pipeline — GitHub Actions, CodePipeline, GitLab? Ronak — 8+ yrs; AWS, Python, CI/CD.

@mohitchack255

Hi, I run AWS infrastructure and deployment automation day to day - 8+ years as a senior backend/DevOps engineer with production workloads on AWS, Docker, Linux and CI/CD. Directly on your stack: - Lambda: packaging Python functions with Poetry-exported dependencies as layers or container images, right-sizing memory/timeout, cold-start tuning, versions and aliases for safe rollouts. - Uvicorn: running ASGI/FastAPI apps either on Lambda behind API Gateway via Mangum, or on ECS/EC2 with Gunicorn + Uvicorn workers and Nginx in front. I'll recommend whichever fits your traffic and cost profile. - Poetry: locked, reproducible builds, separate dev/prod groups, export or bundle step in CI so local and Lambda never drift. - Pipelines: CodePipeline/CodeBuild or GitHub Actions with OIDC (no long-lived keys), automated tests, staged deploys with approval gates and rollback. - Scripting: Python and Bash for provisioning, log and metric checks, backups, cleanup and one-off ops tasks. IaC via Terraform or SAM/CDK so the setup is versioned, not clicked. - Observability and cost: CloudWatch alarms, structured logging, least-privilege IAM, and trimming obvious spend. How I work: a short audit call, then a written plan with priorities, then incremental changes with clear hour reporting. Nothing reaches production without a rollback path. Questions: is any IaC in place today, is the workload Lambda-only or mixed, and which repo/CI are you using? Available to start immediately. Mohit

@kirpalsinghuk

Hi, I can help manage your AWS infrastructure, including **AWS Lambda**, deployment pipelines, and Python-based services using **Uvicorn** and **Poetry**. I have experience automating deployments, configuring CI/CD, troubleshooting AWS environments, and writing scripts in **Python** and **Bash** to streamline infrastructure management. Whether it's setting up Lambda deployments, managing dependencies with Poetry, configuring Uvicorn for production, or building reliable deployment pipelines, I can deliver a clean and maintainable solution. I'm available to start immediately. Please share your current AWS setup and project details, and I'll get everything running smoothly.

@arnavmp

I bring certified AWS infrastructure expertise directly relevant here: AWS ML Specialty, AWS Solutions Architect Professional, and AWS DevOps certifications, backed by hands-on production experience managing AWS infrastructure and CI/CD pipelines. What I bring: AWS & Lambda: I've architected and managed AWS infrastructure across production SaaS platforms, including serverless components, with a focus on reliability, security, and cost efficiency — not just standing services up, but keeping them lean and monitored long-term. Scripting: Strong Python (my primary language for backend/AI-ML work) plus Bash for automation — clean, maintainable scripts, not one-off fixes. Python tooling (Uvicorn/Poetry): Solid working familiarity with the modern Python ASGI/packaging ecosystem — I'd confirm your exact versions and conventions upfront so I match your existing setup rather than imposing my own. CI/CD & deployment automation: I've set up and managed CI/CD pipelines and release automation in production, improving deployment frequency while reducing release risk — a core, repeated part of my delivery work, not a one-time project. I work methodically: understand the current setup fully before changing anything, document what I do, and flag risks before they become incidents. Happy to do a short technical discussion first to confirm exact fit with your Lambda/Uvicorn/Poetry setup before finalizing scope.

@kojis

I have strong experience managing AWS infrastructure with a focus on Lambda, and I'm very familiar with the tools you've mentioned. My expertise includes using Python and Bash for automation, and I have extensive hands-on experience with Uvicorn and Poetry for building and running Python applications, including deploying FastAPI-based services on AWS Lambda. I can set up and manage robust code pipelines using services like AWS CodePipeline to automate your build, test, and deployment processes, ensuring smooth and reliable rollouts. My approach is centered on creating efficient, automated solutions that reduce manual overhead and improve consistency across your environment.