Optimize Freelance Projects with Amazon S3

We’re looking for a freelancer to create and optimize Amazon A+Content for multiple products. The work includes writing clear, engaging product descriptions, improving existing content, and helping increase conversion rates through stronger listings. You should be comfortable working with product details, identifying key selling points, and presenting information in a way that appeals to customers. This is a part-time project with room for ongoing collaboration for the right fit.

We're a small B2B SaaS in the construction analytics space. Engineering team of 3, we've been running Terraform locally for our AWS infra across three environments (dev, staging, prod). Adding a fourth engineer next month, so we need to move state off local disk before we get into merge conflicts and drift.

What we have:

- Terraform 0.14 codebase (yes, we know, upgrade is on the roadmap)

- Three environments in separate directories, each with its own local state file

- AWS Organizations with three separate accounts (one per environment)

- Modest infra: RDS Postgres, EC2s, an ALB, S3 buckets, Lambda functions, IAM roles

What we need:

1. Set up S3 backend with DynamoDB state locking for all three environments

2. Migrate the existing local state files into the new backend (no drift, no resource recreation)

3. Configure each environment to write to its own state key with clean naming

4. Document the workflow: how to initialize, how to unlock a stuck lock, how to recover from drift after migration

5. Update our README with the new terraform init flow

Nice to have:

- Guidance on Terraform 0.14 to 1.x upgrade path (no work needed, just notes)

- Recommendation on who should have unlock permissions

Budget is $200 fixed. Expected turnaround 1 to 2 days once we grant access.

We will provide:

- AWS IAM role scoped to S3 + DynamoDB + IAM read

- Private GitHub repo access

To apply, please share:

- One similar Terraform state migration you have done recently (short description or private repo screenshot is fine)

- Any concerns about the setup based on what we described

- Confirmation you can start within 24 hours

We need an AWS DevOps Professional certified engineer to support audit-related tasks for our organization. AWS DevOps Pro certification is mandatory.

I have python code. I have datasets. And I have local models.
Everything works perfectly. I load models and datasets on pycharm and get results. Now I want to do the same thing on cloud with faster GPU.

I’m looking for an experienced Amazon expert to help manage and grow my account. I sell a Christian book through FBA and need support with listing optimization, profit tracking, ad management, and inventory oversight. I’m not very familiar with the platform and want someone who can improve performance, monitor results, and help increase sales. This is a part-time project for 1 to 3 months, with potential for ongoing work if the partnership is successful.

Today: TypeScript throughout. Expo / React Native (SDK 54, expo-router) mobile; Next.js 16 web; Node/Express with Prisma API; Socket.IO realtime; Stripe Connect destination charges; Checkr background checks; Firebase and Expo push. Target: AWS — ECS or App Runner, RDS PostgreSQL with PostGIS, S3; Google Gemini 2.0 Flash for job classification; Google Places and Distance Matrix. None of the AWS layer exists yet and the database is still SQLite.
The role
You will take a working development backend and turn it into something that can take real money from real people in New York. The API is built and covers most of the domain — 15 route groups, 17 data models, Stripe Connect, Checkr, Socket.IO. What it does not have is a production environment. There is no cloud deployment, no container setup, no CI/CD, and the database is still SQLite. That migration and that infrastructure are the job.
What you will do
• Migrate SQLite to PostgreSQL. The Prisma schema is written against SQLite with a note that Postgres is the target. You will do the migration properly — real enums, nullable uniques, indices, and a repeatable seed and migration path.
• Stand up production on AWS. Nothing exists today — no Dockerfile, no CI/CD, no infrastructure-as-code. You will containerise the API onto ECS or App Runner, provision RDS and S3, and build the deploy pipeline, logging, metrics and alerting from scratch.
• Own the money end to end. Stripe Connect is wired for connected accounts, onboarding links and destination charges with an application fee. The lifecycle is missing: authorise on booking with manual capture, capture on confirmed completion, then a seven-day payout lag with a ledger of funds held versus owed. Our balance sheet carries helper payables as a liability and nothing currently produces that number. Plus webhooks, idempotency, refunds, disputes and daily reconciliation against Stripe.
• Own the geo layer, and its bill. Matching shortlists with haversine in application code — deliberately, because it is free and instant. You will move that filter to PostGIS ST_DWithin on a GIST index, then call Google Distance Matrix for travel time on the final shortlist ONLY. Maps bills per element at traffic-aware rates; running it across a whole borough would cost roughly twenty-eight times our entire hosting budget. Caching repeated origin-destination pairs is part of this job.
• Verification pipeline. Checkr is integrated for helper background checks. You will own the lifecycle — webhooks, re-checks, document expiry, and the compliance side of who is allowed to take which category of job.
• Security and data protection. Card data never touches our servers, so our PCI scope is SAQ-A and should stay that way. You will own secrets management, access control, encryption of personal data, and backup and restore that has actually been rehearsed.
• Build the async layer. Everything runs inline in the request today. Gemini calls, Checkr polling, payout batches and notification fan-out all need a queue — SQS or BullMQ. Socket.IO also needs a Redis adapter and sticky sessions before it can run on more than one ECS task.
• Put tests in. There is no test suite. You will introduce one, plus CI that blocks merges on it.
What we need
• 5+ years backend engineering in Node.js and TypeScript. Go or Python elsewhere is fine.
• You have run a real PostgreSQL migration and can talk about what went wrong.
• You have built production cloud infrastructure and CI/CD from nothing, not just maintained someone else's.
• Hands-on Stripe Connect, or an equivalent marketplace payments and payouts system.
• Comfortable with webhooks, idempotency and the ways distributed payment flows fail.
Nice to have
• PostGIS and spatial indexing for dispatch or delivery.
• AWS specifically — ECS or App Runner, RDS, S3, SQS.
• Prisma specifically.
• Marketplace escrow, split payments or delayed payouts.

We are looking for an experienced Amazon Account Manager to improve our Amazon presence and drive sales growth. The role includes managing Amazon Ads, optimizing product listings, improving visibility, and monitoring account performance. You will also support customer service, handle account issues, and help maintain a strong seller reputation. This is a long-term opportunity for someone who can take ownership of the Amazon account and help us achieve consistent growth.

We need an experienced specialist to improve Amazon product listings by optimizing titles, keywords, and overall listing performance. The ideal freelancer should have a strong understanding of Amazon SEO and be able to increase visibility and conversion potential. This is a short-term project for someone who can deliver clear recommendations and actionable improvements for product listings.

I need an experienced professional to review my Amazon store, review current listings, advertising, and account health, then provide actionable recommendations to improve sales and overall store performance.

The account is new and we are testing it in a new country with very limited supply items.
The ideal freelancer should be able to identify issues, suggest improvements, and help optimize the account for stronger results. Please share relevant experience and examples of past work with Amazon stores. Ideally, will be nice to use claude to get best results.

We are seeking an experienced Amazon Seller Central expert to resolve ongoing account, catalog, listing, variation, and flat file issues. You will troubleshoot complex problems, manage Amazon Seller Support cases, and follow up until issues are fully resolved. Responsibilities include fixing parent-child variation issues, resolving suppressed and inactive listings, addressing ASIN and detail page problems, handling catalog and product data issues, and supporting account health and policy-related matters. The ideal freelancer can identify root causes, implement accurate solutions, and use Seller Central tools and flat files as needed.

I need an AI platform/software that automates logging into local government websites, retrieves property records, and uses AI/OCR to extract and summarize key data — including matching records to the correct owner/property even when names or entries vary across sources.

This is a paid first-phase engagement: build and validate the pipeline for a single test jurisdiction. Strong potential to grow into an ongoing role as the platform expands to additional jurisdictions.

Requirements:

- Log into and interact with local government websites (varied, non-standardized interfaces, potentially dozens to hundreds of distinct portals over time)
- Support structured search inputs (name, ID number, or address)
- Retrieve property records including: Owner information, Property value, Transaction history, Liens, encumbrances, and other title-affecting documents.
- Apply entity-resolution/matching logic to determine whether records across sources refer to the same person or property, using a confidence score rather than simple binary matching
- Design storage using AWS S3 (documents) and a Postgres database (metadata), including caching previously retrieved documents to avoid repeat cost
- Build human-in-the-loop functionality: flag uncertain or illegible items (e.g., poor handwriting, ambiguous dates) for user confirmation rather than guessing
- Implement strong security/credential-handling practices, since the platform will hold login credentials for multiple external systems
- Build an LLM-driven report generator that synthesizes extracted data into a clear, factual written summary

Ideal Skills & Experience:

- AI/ML development, including LLM integration
- Web scraping and automation, specifically authenticated/session-based scraping (not just open APIs)
- OCR/document-AI technologies, including messy or handwritten documents
- Entity resolution / fuzzy matching with confidence scoring
- Database and cloud storage architecture (AWS, Postgres)

Looking for a tech-savvy developer who can deliver a robust, reliable first version and is interested in a longer-term relationship if this first phase goes well. Please include relevant past projects in your bid.

Skills: Python, Web Scraping, OCR, PostgreSQL, Data Extraction, Full Stack Development, Amazon S3, AWS Textract, Large Language Model, AI Development

We need a freelancer to improve Amazon product listings for better visibility and conversion. The work includes researching relevant keywords, optimizing titles and descriptions, and refining listing structure to support search performance. You should be able to review current listings, identify improvement opportunities, and recommend practical changes that align with Amazon best practices. Experience with e-commerce listings and a strong understanding of how to improve discoverability are important for this role.

I need an experienced Amazon Seller account reinstatement specialist for a difficult case.

My Seller account was deactivated around 3 years ago for a dropshipping policy violation. At the time, VAs I hired were fulfilling orders through Walmart. I no longer use this business model and want to operate fully within Amazon's policies.

I have submitted multiple appeals over the years and continue receiving essentially the same rejection. I recently obtained a legitimate wholesale invoice from Petra Industries and submitted an appeal with it, but the account was still not reinstated.

I can provide:
• Amazon deactivation/rejection notices
• Previous appeals/POAs
• Petra Industries invoice
• Relevant account documentation

I am not looking for a generic POA. I need someone who can review the complete history, determine why my appeals keep failing, identify any documentation issues, and develop a legitimate new appeal/escalation strategy.

Experience with Amazon dropshipping violations, Section 3/account deactivations, repeated appeal rejection loops, and complex reinstatement cases is strongly preferred.

Please explain your experience with similar cases, what approach you would take.

I need help creating Amazon listings for about 10 different Detroit Lions football flags. The work includes writing clear product titles, descriptions, and bullet points, plus organizing the listings so they are easy to understand and appealing to buyers. I’m looking for someone who can create polished, accurate listings that help these products stand out on Amazon.

We need a certified AWS Bedrock professional to help develop a RAG-based knowledge base solution. The work includes building and refining the retrieval and generation pipeline, improving response accuracy, and supporting implementation in a production environment. You should be comfortable working independently, communicating progress clearly, and helping shape the solution from initial setup through ongoing optimization. This is a part-time role for a short engagement, ideal for someone who can deliver practical results quickly.

I’m looking for an experienced Amazon PPC expert to guide me through the platform and help me understand how to run effective campaigns. I want to learn best practices, campaign structure, keyword research, and how to improve performance over time. This is a learning-focused project, so clear communication and patience are important. I’m open to starting with a small scope and expanding as I gain confidence and understanding.

I’m looking for a freelancer to help set up Amazon listings for my business. The ideal candidate should have strong design skills and a sharp eye for detail, with the ability to create listings that stand out. You’ll be responsible for preparing product listings, optimizing content, and ensuring everything is presented clearly and professionally. Experience with e-commerce platforms and product listing creation is important. Please share relevant examples of similar work and your approach to making listings visually appealing and effective.

We're modernizing the infrastructure for a growing B2B SaaS platform and looking for a Senior AWS DevOps Engineer to own the AWS environment, improve deployment reliability, and help the engineering team scale safely.

The product currently runs across separate development, staging, and production environments. The infrastructure has grown incrementally over time, and we now want to standardize it, reduce operational risk, improve observability, and make deployments more predictable.

Our current environment includes:
- Amazon EKS for application workloads
- EC2 for supporting services
- RDS PostgreSQL
- S3 + CloudFront for file and asset delivery
- Route 53 and Application Load Balancers
- IAM and CloudWatch
- Terraform for Infrastructure as Code
- GitHub Actions for CI/CD

We expect this person to remain hands-on while also acting as the technical owner for infrastructure decisions.

Current Challenges
The infrastructure is stable overall, but several areas need improvement as the product and engineering team grow:
- Terraform modules and environment configuration have become inconsistent over time
- Some deployment steps still require manual intervention
- Rollback procedures are not fully standardized
- Kubernetes resource requests and limits need review across services
- Monitoring is in place, but production alerting needs better coverage
- IAM permissions have accumulated and require a least-privilege review
- Database backup and disaster recovery procedures need to be validated
- AWS costs have increased, and we need better visibility into infrastructure usage and optimization opportunities

Scope of Work
The first phase will focus on reviewing the existing infrastructure and implementing the highest-priority improvements.
You will:
- Audit the current AWS architecture and Terraform codebase
- Identify reliability, security, scalability, and cost-efficiency risks
- Review EKS configuration, workloads, resource allocation, autoscaling, and deployment strategy
- Standardize Terraform structure across development, staging, and production
- Improve GitHub Actions CI/CD pipelines
- Reduce manual deployment steps and improve rollback procedures
- Review IAM roles and permissions
- Improve secrets management using AWS Secrets Manager and KMS where appropriate
- Improve CloudWatch dashboards, logging, alarms, and production monitoring
- Review RDS backups, recovery procedures, and production database resilience
- Review CloudFront, WAF, and load-balancing configuration
- Document infrastructure standards and operational procedures

The development team is already in place, but the DevOps function is relatively lean. We need someone who is comfortable working independently, making technical decisions, and providing direction when infrastructure changes affect multiple parts of the product.

Required Experience
- 5+ years of DevOps / Cloud Infrastructure experience
- Strong hands-on AWS experience in production
- Amazon EKS / Kubernetes
EC2
- RDS / PostgreSQL
- S3 and CloudFront
- Route 53 and Application Load Balancers
- IAM
- CloudWatch
- Terraform / Infrastructure as Code
- GitHub Actions or similar CI/CD tooling
- Docker and Linux
- AWS networking, including VPCs, subnets, routing, and security groups
- Experience troubleshooting production infrastructure and deployment issues

Strong Advantage
Experience with some of the following would be useful:
- AWS Organizations / multi-account environments
- Karpenter
- Helm
- ArgoCD / GitOps
- AWS WAF
- AWS KMS
- AWS Secrets Manager
- Infrastructure cost optimization
- Disaster recovery planning
- High-traffic SaaS environments

Expected First Deliverable
During the initial phase, we expect a practical infrastructure assessment structured around:
Current issue → risk / impact → recommended change → priority → estimated effort

We are specifically looking for actionable findings rather than a high-level architecture review.

Typical areas may include:
- EKS reliability and scaling issues
- Terraform structure and environment inconsistencies
- CI/CD bottlenecks
- deployment and rollback risks
- excessive IAM permissions
- missing production alerts
- database backup or recovery gaps
- AWS cost optimization opportunities

After the assessment, the engineer will work directly with our development team to implement the agreed priorities.

When Applying
Please include:
- Your total DevOps experience and how many years you have worked with AWS in production
- The AWS services you work with most frequently
- Your experience managing EKS / Kubernetes environments
- Your experience with Terraform and multi-environment infrastructure
- One example of a production infrastructure problem you personally diagnosed and solved
- Your current availability and hourly rate

We are currently finalizing the scope for this upcoming infrastructure project and evaluating senior AWS / DevOps engineers who could take technical ownership of it.

We're working on AWS AI Competency certification and have a real customer example already prepared. We've completed the first phase of the AWS AI Competency validation checklist and are looking for an expert who has been through this process before. We need someone to review our current checklist, identify any missing requirements, and help us close gaps before submission. The ideal freelancer understands AWS AI Competency expectations, gives clear, actionable feedback, and can guide us through final preparation steps. Prior hands-on experience with AWS AI Competency validation is essential for this short-term project.

We need a freelancer to create a complete Amazon listing for a new product as well as updating existing Listings. The work includes writing clear, compelling product descriptions, preparing high-quality listing content, and ensuring the listing is optimized for visibility and customer appeal. as well as adding variations and different shipping cost as well free shipping. You should be able to turn product details into strong listings that help drive sales and improve search performance. Please share relevant examples of similar Amazon listing work.

AWS DEVOPS & AI TECHNICAL PROJECT MANAGER

We are seeking an experienced AWS DevOps & AI Technical Project Manager to manage approximately 25 AWS DevOps engineers working simultaneously on multiple AI and cloud-transformation projects.

This is a hands-on leadership role for someone who understands AWS architecture, DevOps delivery, and AWS AI services—not a general project manager who only schedules meetings and updates spreadsheets.

RESPONSIBILITIES

• Manage a distributed team of approximately 25 AWS DevOps engineers
• Oversee multiple AWS AI and cloud projects running concurrently
• Organize delivery into two-week Agile sprints
• Work directly with developers to define tasks, owners, priorities, dependencies, estimates, and acceptance criteria
• Confirm that deliverables and deadlines are realistic before committing to clients or leadership
• Conduct sprint planning, daily standups, backlog reviews, sprint reviews, and retrospectives
• Monitor progress daily and identify schedule risks before deadlines are missed
• Proactively resolve technical blockers, staffing constraints, unclear requirements, and cross-team dependencies
• Escalate problems promptly with a clear explanation of the issue, impact, available options, and recommended solution
• Maintain accurate project plans, sprint boards, documentation, status reports, and delivery forecasts
• Coordinate communication among developers, architects, customers, AWS representatives, and company leadership
• Ensure that completed work meets technical requirements, acceptance criteria, security standards, and client expectations
• Hold team members accountable while maintaining a productive and professional working environment
• Improve our project-management processes as the volume and complexity of projects continue to grow

REQUIRED AWS AND DEVOPS EXPERIENCE

Candidates must have significant practical experience managing AWS and DevOps projects, including familiarity with:

• Amazon Bedrock
• Amazon Bedrock Agents and AgentCore
• Amazon SageMaker
• Generative AI and agentic AI architectures
• Retrieval-Augmented Generation (RAG)
• AWS Lambda
• Amazon API Gateway
• AWS Step Functions
• Amazon EventBridge
• Amazon S3
• Amazon DynamoDB
• Amazon OpenSearch Service
• Amazon ECS, EKS, and EC2
• Infrastructure as Code using Terraform, AWS CloudFormation, or AWS CDK
• CI/CD pipelines and automated deployment processes
• Git-based development workflows
• AWS IAM, security, logging, monitoring, and cost management

The successful candidate does not need to write production code every day, but must understand the technology well enough to challenge estimates, identify dependencies, recognize risks, communicate with senior engineers, and determine whether reported progress is credible.

COMMUNICATION AND PROJECT-MANAGEMENT EXPECTATIONS

We are looking for someone who communicates clearly, directly, and consistently.

You must be able to:

• Translate business and customer requirements into clear technical deliverables
• Work with developers to confirm exactly what will be delivered and when
• Break large objectives into manageable sprint tasks
• Ensure every task has an owner, due date, definition of done, and measurable acceptance criteria
• Ask detailed questions when requirements, estimates, or progress reports are unclear
• Identify bottlenecks early and create a specific recovery plan
• Communicate delays immediately rather than waiting until a deadline is missed
• Provide concise written updates showing completed work, current work, risks, blockers, and next steps
• Lead meetings efficiently and document decisions, action items, owners, and deadlines
• Communicate professionally with technical teams, executives, clients, and AWS stakeholders

REQUIRED QUALIFICATIONS

• 5+ years of technical project or program management experience
• Significant experience managing AWS cloud and DevOps projects
• Experience managing large distributed engineering teams
• Experience coordinating multiple projects and workstreams simultaneously
• Strong understanding of Agile delivery and two-week sprint management
• Experience using Jira, ClickUp, Asana, Monday.com, Azure DevOps, or similar tools
• Excellent written and spoken English
• Strong leadership, organization, documentation, and problem-solving skills
• Ability to work with teams across multiple countries and time zones
• Demonstrated ability to recover delayed or at-risk technical projects

PREFERRED QUALIFICATIONS

• AWS certification, such as AWS Certified Solutions Architect, DevOps Engineer, Machine Learning Engineer, or AI Practitioner
• Experience delivering generative AI, RAG, or agentic AI solutions
• Experience working for an AWS Partner
• Experience with AWS-funded customer programs or AWS Marketplace solutions
• Technical background in cloud engineering, software development, or DevOps
• Experience managing teams located in the United States, India, Pakistan, or Bangladesh

WHAT SUCCESS LOOKS LIKE

• Two-week sprints begin with clearly defined and properly assigned work
• Developers understand their deliverables, deadlines, and acceptance criteria
• Leadership has an accurate, real-time understanding of every project
• Problems and bottlenecks are identified early and addressed quickly
• Commitments are based on validated engineering estimates
• Deliverables are completed on schedule and meet client expectations
• Project documentation and sprint boards remain accurate and current

HOW TO APPLY

Please provide:

1. A summary of your AWS, DevOps, and AI project-management experience
2. The largest engineering team you have directly managed
3. An example of how you managed multiple projects using two-week sprints
4. An example of a delayed or blocked project you helped recover
5. Your experience with Amazon Bedrock, AgentCore, SageMaker, RAG, or agentic AI
6. The project-management tools you use and how you track deliverables, dependencies, and blockers
7. Your AWS certifications, if applicable
8. Your working hours and time zone
9. A short video or Loom introduction explaining why you are a strong fit

Please begin your proposal with the words “AWS DELIVERY” so we know you read the complete posting.

This is expected to be a long-term engagement for the right person.

AWS DEVOPS & AI TECHNICAL PROJECT MANAGER

We are seeking an experienced AWS DevOps & AI Technical Project Manager to manage approximately 25 AWS DevOps engineers working simultaneously on multiple AI and cloud-transformation projects.

This is a hands-on leadership role for someone who understands AWS architecture, DevOps delivery, and AWS AI services—not a general project manager who only schedules meetings and updates spreadsheets.

RESPONSIBILITIES

• Manage a distributed team of approximately 25 AWS DevOps engineers
• Oversee multiple AWS AI and cloud projects running concurrently
• Organize delivery into two-week Agile sprints
• Work directly with developers to define tasks, owners, priorities, dependencies, estimates, and acceptance criteria
• Confirm that deliverables and deadlines are realistic before committing to clients or leadership
• Conduct sprint planning, daily standups, backlog reviews, sprint reviews, and retrospectives
• Monitor progress daily and identify schedule risks before deadlines are missed
• Proactively resolve technical blockers, staffing constraints, unclear requirements, and cross-team dependencies
• Escalate problems promptly with a clear explanation of the issue, impact, available options, and recommended solution
• Maintain accurate project plans, sprint boards, documentation, status reports, and delivery forecasts
• Coordinate communication among developers, architects, customers, AWS representatives, and company leadership
• Ensure that completed work meets technical requirements, acceptance criteria, security standards, and client expectations
• Hold team members accountable while maintaining a productive and professional working environment
• Improve our project-management processes as the volume and complexity of projects continue to grow

REQUIRED AWS AND DEVOPS EXPERIENCE

Candidates must have significant practical experience managing AWS and DevOps projects, including familiarity with:

• Amazon Bedrock
• Amazon Bedrock Agents and AgentCore
• Amazon SageMaker
• Generative AI and agentic AI architectures
• Retrieval-Augmented Generation (RAG)
• AWS Lambda
• Amazon API Gateway
• AWS Step Functions
• Amazon EventBridge
• Amazon S3
• Amazon DynamoDB
• Amazon OpenSearch Service
• Amazon ECS, EKS, and EC2
• Infrastructure as Code using Terraform, AWS CloudFormation, or AWS CDK
• CI/CD pipelines and automated deployment processes
• Git-based development workflows
• AWS IAM, security, logging, monitoring, and cost management

The successful candidate does not need to write production code every day, but must understand the technology well enough to challenge estimates, identify dependencies, recognize risks, communicate with senior engineers, and determine whether reported progress is credible.

COMMUNICATION AND PROJECT-MANAGEMENT EXPECTATIONS

We are looking for someone who communicates clearly, directly, and consistently.

You must be able to:

• Translate business and customer requirements into clear technical deliverables
• Work with developers to confirm exactly what will be delivered and when
• Break large objectives into manageable sprint tasks
• Ensure every task has an owner, due date, definition of done, and measurable acceptance criteria
• Ask detailed questions when requirements, estimates, or progress reports are unclear
• Identify bottlenecks early and create a specific recovery plan
• Communicate delays immediately rather than waiting until a deadline is missed
• Provide concise written updates showing completed work, current work, risks, blockers, and next steps
• Lead meetings efficiently and document decisions, action items, owners, and deadlines
• Communicate professionally with technical teams, executives, clients, and AWS stakeholders

REQUIRED QUALIFICATIONS

• 5+ years of technical project or program management experience
• Significant experience managing AWS cloud and DevOps projects
• Experience managing large distributed engineering teams
• Experience coordinating multiple projects and workstreams simultaneously
• Strong understanding of Agile delivery and two-week sprint management
• Experience using Jira, ClickUp, Asana, Monday.com, Azure DevOps, or similar tools
• Excellent written and spoken English
• Strong leadership, organization, documentation, and problem-solving skills
• Ability to work with teams across multiple countries and time zones
• Demonstrated ability to recover delayed or at-risk technical projects

PREFERRED QUALIFICATIONS

• AWS certification, such as AWS Certified Solutions Architect, DevOps Engineer, Machine Learning Engineer, or AI Practitioner
• Experience delivering generative AI, RAG, or agentic AI solutions
• Experience working for an AWS Partner
• Experience with AWS-funded customer programs or AWS Marketplace solutions
• Technical background in cloud engineering, software development, or DevOps
• Experience managing teams located in the United States, India, Pakistan, or Bangladesh

WHAT SUCCESS LOOKS LIKE

• Two-week sprints begin with clearly defined and properly assigned work
• Developers understand their deliverables, deadlines, and acceptance criteria
• Leadership has an accurate, real-time understanding of every project
• Problems and bottlenecks are identified early and addressed quickly
• Commitments are based on validated engineering estimates
• Deliverables are completed on schedule and meet client expectations
• Project documentation and sprint boards remain accurate and current

HOW TO APPLY

Please provide:

1. A summary of your AWS, DevOps, and AI project-management experience
2. The largest engineering team you have directly managed
3. An example of how you managed multiple projects using two-week sprints
4. An example of a delayed or blocked project you helped recover
5. Your experience with Amazon Bedrock, AgentCore, SageMaker, RAG, or agentic AI
6. The project-management tools you use and how you track deliverables, dependencies, and blockers
7. Your AWS certifications, if applicable
8. Your working hours and time zone
9. A short video or Loom introduction explaining why you are a strong fit

Please begin your proposal with the words “AWS DELIVERY” so we know you read the complete posting.

This is expected to be a long-term engagement for the right person.

AWS DEVOPS & AI TECHNICAL PROJECT MANAGER

We are seeking an experienced AWS DevOps & AI Technical Project Manager to manage approximately 25 AWS DevOps engineers working simultaneously on multiple AI and cloud-transformation projects.

This is a hands-on leadership role for someone who understands AWS architecture, DevOps delivery, and AWS AI services—not a general project manager who only schedules meetings and updates spreadsheets.

RESPONSIBILITIES

• Manage a distributed team of approximately 25 AWS DevOps engineers
• Oversee multiple AWS AI and cloud projects running concurrently
• Organize delivery into two-week Agile sprints
• Work directly with developers to define tasks, owners, priorities, dependencies, estimates, and acceptance criteria
• Confirm that deliverables and deadlines are realistic before committing to clients or leadership
• Conduct sprint planning, daily standups, backlog reviews, sprint reviews, and retrospectives
• Monitor progress daily and identify schedule risks before deadlines are missed
• Proactively resolve technical blockers, staffing constraints, unclear requirements, and cross-team dependencies
• Escalate problems promptly with a clear explanation of the issue, impact, available options, and recommended solution
• Maintain accurate project plans, sprint boards, documentation, status reports, and delivery forecasts
• Coordinate communication among developers, architects, customers, AWS representatives, and company leadership
• Ensure that completed work meets technical requirements, acceptance criteria, security standards, and client expectations
• Hold team members accountable while maintaining a productive and professional working environment
• Improve our project-management processes as the volume and complexity of projects continue to grow

REQUIRED AWS AND DEVOPS EXPERIENCE

Candidates must have significant practical experience managing AWS and DevOps projects, including familiarity with:

• Amazon Bedrock
• Amazon Bedrock Agents and AgentCore
• Amazon SageMaker
• Generative AI and agentic AI architectures
• Retrieval-Augmented Generation (RAG)
• AWS Lambda
• Amazon API Gateway
• AWS Step Functions
• Amazon EventBridge
• Amazon S3
• Amazon DynamoDB
• Amazon OpenSearch Service
• Amazon ECS, EKS, and EC2
• Infrastructure as Code using Terraform, AWS CloudFormation, or AWS CDK
• CI/CD pipelines and automated deployment processes
• Git-based development workflows
• AWS IAM, security, logging, monitoring, and cost management

The successful candidate does not need to write production code every day, but must understand the technology well enough to challenge estimates, identify dependencies, recognize risks, communicate with senior engineers, and determine whether reported progress is credible.

COMMUNICATION AND PROJECT-MANAGEMENT EXPECTATIONS

We are looking for someone who communicates clearly, directly, and consistently.

You must be able to:

• Translate business and customer requirements into clear technical deliverables
• Work with developers to confirm exactly what will be delivered and when
• Break large objectives into manageable sprint tasks
• Ensure every task has an owner, due date, definition of done, and measurable acceptance criteria
• Ask detailed questions when requirements, estimates, or progress reports are unclear
• Identify bottlenecks early and create a specific recovery plan
• Communicate delays immediately rather than waiting until a deadline is missed
• Provide concise written updates showing completed work, current work, risks, blockers, and next steps
• Lead meetings efficiently and document decisions, action items, owners, and deadlines
• Communicate professionally with technical teams, executives, clients, and AWS stakeholders

REQUIRED QUALIFICATIONS

• 5+ years of technical project or program management experience
• Significant experience managing AWS cloud and DevOps projects
• Experience managing large distributed engineering teams
• Experience coordinating multiple projects and workstreams simultaneously
• Strong understanding of Agile delivery and two-week sprint management
• Experience using Jira, ClickUp, Asana, Monday.com, Azure DevOps, or similar tools
• Excellent written and spoken English
• Strong leadership, organization, documentation, and problem-solving skills
• Ability to work with teams across multiple countries and time zones
• Demonstrated ability to recover delayed or at-risk technical projects

PREFERRED QUALIFICATIONS

• AWS certification, such as AWS Certified Solutions Architect, DevOps Engineer, Machine Learning Engineer, or AI Practitioner
• Experience delivering generative AI, RAG, or agentic AI solutions
• Experience working for an AWS Partner
• Experience with AWS-funded customer programs or AWS Marketplace solutions
• Technical background in cloud engineering, software development, or DevOps
• Experience managing teams located in the United States, India, Pakistan, or Bangladesh

WHAT SUCCESS LOOKS LIKE

• Two-week sprints begin with clearly defined and properly assigned work
• Developers understand their deliverables, deadlines, and acceptance criteria
• Leadership has an accurate, real-time understanding of every project
• Problems and bottlenecks are identified early and addressed quickly
• Commitments are based on validated engineering estimates
• Deliverables are completed on schedule and meet client expectations
• Project documentation and sprint boards remain accurate and current

HOW TO APPLY

Please provide:

1. A summary of your AWS, DevOps, and AI project-management experience
2. The largest engineering team you have directly managed
3. An example of how you managed multiple projects using two-week sprints
4. An example of a delayed or blocked project you helped recover
5. Your experience with Amazon Bedrock, AgentCore, SageMaker, RAG, or agentic AI
6. The project-management tools you use and how you track deliverables, dependencies, and blockers
7. Your AWS certifications, if applicable
8. Your working hours and time zone
9. A short video or Loom introduction explaining why you are a strong fit

Please begin your proposal with the words “AWS DELIVERY” so we know you read the complete posting.

This is expected to be a long-term engagement for the right person.

We’re seeking a specialist to build AI-powered products, including RAG/LLM applications, AI agents, and automated business workflows. You’ll help design scalable integrations, data pipelines, and end-to-end solutions that improve efficiency and decision-making. The ideal freelancer can translate business needs into practical AI workflows, collaborate on product development, and support ongoing optimization. Experience delivering reliable, scalable AI solutions is important for this role.

"# DevOps Engineer for AWS, Terraform, Docker, Kubernetes & Python FastAPI

We are looking for a DevOps Engineer to help us configure, deploy, troubleshoot, and automate the infrastructure for an existing web application.

The project involves DevOps Engineering, Amazon Web Services, AWS, Terraform, Docker, Kubernetes, CI/CD, Linux, Python, FastAPI, PostgreSQL, Node.js, JavaScript, Git, REST API, SQL, CI/CD Platform, Google Cloud Platform, Software Architecture & Design, Software Development, and Deployment Automation.

This is an existing application rather than a greenfield development project. We need a hands-on DevOps Engineer who can work with the existing application, understand the backend architecture, configure the infrastructure, deploy the services, troubleshoot deployment issues, and automate the deployment process.

The backend is primarily Python and FastAPI, with PostgreSQL as the main database. The project also contains Node.js and JavaScript components and communicates with external APIs.

The initial task is small and has a $50 fixed budget. The work is focused on infrastructure, deployment, configuration, troubleshooting, and automation rather than implementing new application features.

There may be additional DevOps, AWS, Terraform, Docker, Kubernetes, Python FastAPI deployment, CI/CD, and Deployment Automation work after the initial task.

## Project Overview

The application includes Python backend services, FastAPI REST APIs, PostgreSQL database services, Node.js components, JavaScript components, external API integrations, Docker containers, and cloud infrastructure.

We need a DevOps Engineer who understands both infrastructure and application deployment.

A good fit would be someone with experience as a DevOps Engineer, AWS DevOps Engineer, Cloud DevOps Engineer, DevOps Developer, Backend Developer, Python Developer, Python FastAPI Developer, FastAPI Developer, or Backend Engineer working closely with infrastructure and deployment.

The main objective is to make the existing application deployable, reproducible, and reliable.

The environment should allow developers to work with Git, build the application, create Docker images, run tests, and deploy the application through a CI/CD Platform without requiring a large amount of manual infrastructure work.

## Core Technologies

* Terraform
* Docker
* DevOps
* DevOps Engineering
* Amazon Web Services
* AWS
* AWS Infrastructure
* AWS DevOps
* Kubernetes
* CI/CD
* CI/CD Platform
* Deployment Automation
* Linux
* Python
* Python Developer
* FastAPI
* Python FastAPI
* FastAPI Developer
* Python FastAPI Developer
* Backend Developer
* Backend Engineering
* PostgreSQL
* SQL
* Node.js
* Node.js Developer
* JavaScript
* Git
* REST API
* API
* API Integration
* Google Cloud Platform
* GCP
* Software Development
* Software Architecture & Design

## AWS Infrastructure

The primary cloud environment is Amazon Web Services.

The DevOps Engineer will review the existing AWS infrastructure and configure the resources required to run the application.

The AWS environment may include:

* Amazon EC2
* AWS VPC
* AWS Security Groups
* AWS IAM
* Amazon RDS
* Amazon S3
* AWS CloudWatch
* Load balancing
* DNS
* Networking
* Storage
* Application deployment resources

The AWS DevOps work should be practical and focused on the requirements of the existing application.

We do not need unnecessary AWS architecture complexity.

The engineer should understand how a Python FastAPI backend, PostgreSQL database, Docker containers, Node.js services, and external APIs communicate inside an AWS environment.

Experience with AWS DevOps, AWS Infrastructure, Amazon Web Services, AWS EC2, AWS RDS, AWS VPC, AWS IAM, AWS Security Groups, AWS networking, AWS deployment, and AWS troubleshooting is highly relevant.

## Terraform

Terraform will be used for Infrastructure as Code where appropriate.

The DevOps Engineer should be comfortable creating, reviewing, and modifying Terraform configurations for AWS infrastructure.

Terraform may be used to manage:

* EC2
* VPC
* Security Groups
* IAM
* RDS
* S3
* Load balancers
* Networking
* DNS
* Other AWS infrastructure

The objective is to avoid manually configuring the same infrastructure repeatedly.

Terraform should provide a reproducible AWS environment and make infrastructure changes easier to review and deploy.

Experience with Terraform Developer work, Terraform AWS, Terraform Infrastructure as Code, Terraform modules, AWS Terraform configuration, and cloud infrastructure automation is preferred.

We do not need an unnecessarily large Terraform module ecosystem.

A straightforward Terraform configuration that works reliably is preferable.

## Docker

The application uses Docker for local and production deployment.

The DevOps Engineer should have strong practical Docker experience.

The project includes:

* Dockerfiles
* Docker images
* Docker containers
* Docker Compose
* Container networking
* Environment variables
* Volumes
* Health checks
* Restart policies
* Logs
* Image builds
* Deployment

The Python FastAPI backend needs to run correctly inside Docker.

The Node.js and JavaScript components may also run inside Docker containers.

The engineer should be able to troubleshoot Docker issues involving:

* Ports
* Networking
* Environment variables
* Dependencies
* Image builds
* Container startup
* Container crashes
* Database connectivity
* Permissions
* Application configuration

A typical problem may be that the Python Developer can run the FastAPI application locally, but the Python FastAPI application fails after being deployed inside a Docker container on AWS.

The DevOps Engineer should be able to determine whether the problem is related to Python, FastAPI, Docker, environment variables, PostgreSQL, networking, AWS, or the deployment configuration.

## Kubernetes

The environment may also use Kubernetes for container orchestration.

We are looking for practical Kubernetes experience rather than a large enterprise Kubernetes platform implementation.

The DevOps Engineer should be comfortable with:

* Kubernetes Deployments
* Services
* Pods
* ConfigMaps
* Secrets
* Ingress
* Container images
* Health checks
* Environment variables
* Resource configuration
* Kubernetes networking
* Logs
* Troubleshooting

Typical Kubernetes troubleshooting may include:

* Pods failing to start
* Image pull errors
* Incorrect environment variables
* Service connectivity issues
* Application crashes
* Health check failures
* Resource limits
* Ingress problems
* Networking issues

The Kubernetes deployment should remain simple and understandable.

## CI/CD

The project requires a practical CI/CD workflow.

The CI/CD Platform should integrate with Git, Docker, Terraform, AWS, and Kubernetes where appropriate.

A typical deployment process may be:

Git commit → CI/CD pipeline → Python tests → FastAPI application validation → Node.js build → Docker image build → Docker image publishing → Terraform infrastructure validation → AWS deployment → Kubernetes deployment where applicable → Application health check

The goal is reliable CI/CD rather than a complicated pipeline for its own sake.

The DevOps Engineer should have experience with:

* CI/CD Platform configuration
* GitHub Actions
* GitLab CI
* AWS CI/CD services
* Docker-based CI/CD
* Automated testing
* Automated deployments
* Deployment Automation

## Deployment Automation

Deployment Automation is one of the main requirements of this project.

We want to reduce manual deployment steps and make application releases repeatable.

A developer should be able to push code through Git and have the CI/CD Platform build and deploy the application.

The Deployment Automation process may:

* Build the Python FastAPI application
* Install Python dependencies
* Build Docker images
* Publish Docker images
* Configure environment variables
* Update infrastructure with Terraform
* Deploy containers to AWS
* Deploy workloads to Kubernetes
* Perform application health checks
* Report deployment status

The exact deployment architecture depends on the existing environment.

The important requirement is that deployments are predictable, repeatable, and easy to troubleshoot.

## Python and FastAPI

The main backend application is written in Python and uses FastAPI for REST API services.

We are not looking for a Python Developer to build new application features for this initial task.

However, the DevOps Engineer should be comfortable working around Python applications and Python FastAPI deployments.

A Python FastAPI Developer or Python Backend Developer will typically understand:

* How the application starts
* Python dependencies
* Application ports
* Environment variables
* Configuration
* PostgreSQL connections
* Docker deployment
* REST API services
* Application logging
* Health checks

The DevOps Engineer should understand typical FastAPI deployment requirements, including:

* Python dependencies
* FastAPI application startup
* ASGI server configuration
* Workers
* Ports
* Environment variables
* Logging
* Health checks
* Database connections

The FastAPI REST API should be deployed reliably in the production environment.

The Python FastAPI application may run inside a Docker container on AWS or Kubernetes.

The engineer may need to troubleshoot cases where the FastAPI API works correctly in local development but fails after deployment.

For example, the FastAPI application may start correctly locally but fail in AWS because of:

* Missing environment variables
* Incorrect Docker configuration
* PostgreSQL connectivity
* Incorrect Security Group rules
* Wrong application port
* Python dependency issues
* Network configuration

This is why Python and FastAPI experience is useful even though the position is primarily DevOps.

A DevOps Engineer with Python Developer experience or Python FastAPI Developer experience would be a strong fit.

## PostgreSQL and SQL

PostgreSQL is the primary relational database.

The DevOps Engineer should understand PostgreSQL from an infrastructure and deployment perspective.

The Python FastAPI backend needs reliable connectivity to PostgreSQL.

Depending on the architecture, PostgreSQL may run in Docker or use Amazon RDS for PostgreSQL.

The engineer should understand:

* PostgreSQL connection strings
* Database hostnames
* Database ports
* Environment variables
* Docker networking
* AWS RDS
* Credentials
* Connection failures
* Database logs
* Backups
* Basic troubleshooting

Basic SQL knowledge is useful for troubleshooting application and database connectivity.

The position does not require advanced SQL development or complex query optimization.

The main goal is reliable PostgreSQL infrastructure and reliable connectivity between the Python FastAPI application and PostgreSQL.

## Node.js and JavaScript

The project also contains Node.js and JavaScript components.

These may include:

* Frontend services
* Backend utilities
* Build processes
* API integrations
* Supporting services

The DevOps Engineer should understand basic Node.js deployment requirements including:

* Node.js versions
* npm
* Package installation
* Build commands
* Environment variables
* Docker
* Ports
* Production startup

Deep JavaScript development is not required.

However, experience working with Node.js applications, JavaScript applications, Docker, CI/CD, and AWS deployment is useful.

The infrastructure needs to support both Python FastAPI services and Node.js services where applicable.

## API and External Integrations

The application communicates with external APIs.

The DevOps Engineer should be able to troubleshoot API connectivity from Docker containers, Kubernetes workloads, Linux servers, and AWS infrastructure.

Potential issues include:

* DNS
* HTTPS
* Outbound network access
* Firewall rules
* AWS Security Groups
* Environment variables
* API credentials
* HTTP errors
* Proxy configuration
* Container networking

The engineer should be able to distinguish an application-level API issue from an infrastructure-level problem.

For example, if an external API works from a developer's machine but fails from the Python FastAPI Docker container running on AWS, the engineer should be able to investigate the network and environment differences.

## Linux

The production environment uses Linux.

Strong practical Linux experience is expected.

The DevOps Engineer should be comfortable with:

* SSH
* Linux processes
* Services
* Users
* Permissions
* Filesystems
* Networking
* Firewall configuration
* Disk usage
* Memory usage
* CPU usage
* Logs
* Package management
* Docker on Linux
* Kubernetes troubleshooting
* Command-line tools

Typical tools may include:

* SSH
* Git
* Docker CLI
* kubectl
* AWS CLI
* Terraform CLI
* Standard Linux utilities
* Networking tools
* Log inspection tools

Linux troubleshooting experience is important because many deployment problems require checking the underlying operating system rather than only the application.

## Git

Git is used for source code management and deployment workflows.

The DevOps Engineer should understand:

* Git repositories
* Branches
* Pull requests
* Tags
* Releases
* Commit history
* Deployment branches
* Git hooks where applicable
* CI/CD triggers

The deployment process should be connected to the Git workflow.

Git should be used as the source for application versions and automated deployments.

## Software Development

Although the position is DevOps-focused, the engineer should understand normal Software Development workflows.

This includes:

* Git branches
* Pull requests
* Code builds
* Tests
* Dependencies
* Application configuration
* Release versions
* Docker images
* Deployment
* Rollback
* Environment management

The engineer will work around Python, FastAPI, Node.js, JavaScript, PostgreSQL, REST API, and other application components.

The goal is not to become responsible for application development.

The goal is to understand enough Software Development to deploy and troubleshoot the application effectively.

## Software Architecture & Design

Understanding Software Architecture & Design is important because infrastructure decisions need to match the application.

The DevOps Engineer should understand the relationship between:

* Frontend services
* Python backend services
* FastAPI REST APIs
* PostgreSQL
* Docker
* Kubernetes
* AWS
* Networking
* CI/CD
* External APIs

We are not looking for an enterprise software architect.

The requirement is practical understanding of how application components interact and how infrastructure should support them.

For example:

* PostgreSQL should not be unnecessarily exposed to the public Internet.
* Secrets should not be committed to Git.
* Internal services should communicate through appropriate networking.
* Docker containers should expose only the required ports.
* Kubernetes Services and Ingress should match the application architecture.
* AWS Security Groups should allow only the required traffic.

## Monitoring and Troubleshooting

The DevOps Engineer will need to troubleshoot across multiple layers.

Possible sources of information include:

* Docker logs
* Kubernetes logs
* Linux logs
* Nginx logs
* AWS CloudWatch
* Application logs
* PostgreSQL logs
* CI/CD logs
* Terraform output

The objective is basic but useful observability.

We need to know:

* Whether the Python FastAPI service is running
* Whether PostgreSQL is reachable
* Whether Docker containers are healthy
* Whether Kubernetes Pods are running
* Whether AWS resources are available
* Why a deployment failed
* Why an API is unavailable

## Security

Standard infrastructure security practices are expected.

This includes:

* AWS Security Groups
* IAM permissions
* SSH access
* Database access
* Docker ports
* HTTPS
* Secrets management
* API credentials
* Linux permissions
* Network configuration

Database ports should not be unnecessarily public.

API credentials should not be stored directly in Git.

Terraform configuration should not expose sensitive credentials.

The DevOps Engineer should understand basic AWS IAM and least-privilege principles.

## Google Cloud Platform

The project may also involve Google Cloud Platform components.

Experience with Google Cloud Platform and GCP is a plus.

Potential GCP services may include:

* Compute Engine
* Cloud Run
* Cloud Storage
* Cloud SQL
* VPC
* IAM
* Cloud Build
* Kubernetes
* GKE

The initial deployment is primarily focused on Amazon Web Services and AWS, but Google Cloud Platform experience is useful for future infrastructure work.

Terraform may be used to manage both AWS and GCP infrastructure.

## Practical DevOps Approach

We prefer practical solutions.

If Docker Compose is sufficient for a particular environment, there is no need to introduce unnecessary Kubernetes complexity.

If a small Terraform configuration solves the infrastructure problem, there is no need to build a huge collection of Terraform modules.

If GitHub Actions is sufficient as the CI/CD Platform, there is no need to introduce a complicated enterprise deployment system.

The DevOps Engineer should understand when to use AWS, Terraform, Docker, Kubernetes, Linux, CI/CD, and Deployment Automation without overengineering the project.

## What We Need

We need a hands-on DevOps Engineer with practical experience in AWS, Terraform, Docker, Kubernetes, Linux, CI/CD, Git, and Deployment Automation.

Experience with Python, Python Developer work, FastAPI, Python FastAPI, Python FastAPI Developer work, REST API, PostgreSQL, SQL, Node.js, JavaScript, and API integrations is highly relevant.

Experience with Google Cloud Platform is a plus.

A candidate who has worked as a:

* DevOps Engineer
* AWS DevOps Engineer
* Cloud Engineer
* DevOps Developer
* Python Developer
* Python Backend Developer
* FastAPI Developer
* Python FastAPI Developer
* Backend Engineer
* Software Developer working with cloud infrastructure

may be a good fit.

The most important thing is hands-on infrastructure and deployment experience.

## Initial Task

The initial $50 fixed-price task will focus on:

* Reviewing the existing environment
* Identifying deployment or infrastructure problems
* Making the required configuration changes
* Configuring AWS infrastructure
* Reviewing Terraform
* Reviewing Docker configuration
* Checking Python FastAPI deployment
* Checking PostgreSQL connectivity
* Reviewing Kubernetes configuration where applicable
* Establishing or improving the CI/CD workflow
* Improving Deployment Automation

## Additional Work

If the initial deployment work goes well, there may be additional work involving:

* AWS Infrastructure
* AWS DevOps
* Terraform
* Docker
* Kubernetes
* CI/CD
* CI/CD Platform
* Deployment Automation
* Linux administration
* Python FastAPI deployment
* Python backend deployment
* PostgreSQL infrastructure
* Node.js deployment
* JavaScript deployment
* API integrations
* Monitoring
* Troubleshooting
* Cloud migration
* Google Cloud Platform
* Production deployment

## Budget

$50 Fixed Price

This is a small initial DevOps task with the possibility of additional infrastructure, deployment, automation, and cloud engineering work."

We need help launching and managing an Amazon store for a new product. The work includes setting up the store, listing products, optimizing listings for visibility, and handling day-to-day operations. You should be comfortable improving store performance, monitoring sales, and supporting ongoing growth. This is a part-time role for someone who can help build a strong foundation and keep the store running smoothly.

We are seeking an experienced Amazon Seller Central Specialist to manage, optimize, and grow our Amazon seller account. The role includes optimizing product listings, conducting keyword and competitor research, managing PPC campaigns, monitoring key performance metrics, and identifying opportunities to improve organic rankings and sales. You will also handle inventory and catalog issues, resolve Seller Central problems, improve conversion rates through listing optimization, and provide regular performance reports with actionable growth recommendations. Experience with FBA, Seller Central, and account growth is essential.

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Hi i want to learn how can i rank aws s3 some of my article rank on google seo. You need to teach me from scratch where you need to expert on seo, html page creation and s3 buckets. If you can i will send details to you.

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