Job Title | Budget | ||||
---|---|---|---|---|---|
PostgreSQL/AWS: Complete 5 backend problems (Rails preferred, not required)
|
125 USD | 8 minutes ago |
Client Rank
- Medium
$662 total spent
18 hires
228 jobs posted
8% hire rate,
4 open job
5.00
of 5 reviews
Registered at: 08/08/2024
|
||
Required Connects: 11
Project 1 v0.5 Deliverables in 1week, deploy progress to staging site for testing each working day
Backend: 1) restrict frontend's db access to only endpoint functions (and query by primary key or index, so no db scanning nor larger portion read before returning values); replace endpoint URLs, potentially follow docs to self-host on EC2 (instance already setup) 2) clone, modify, and implement SES email triggers (ie email verification) 3) integrate stripe web payment on webpage, logic to verify user first and las name matches billing name before passing gatewall user auth access to frontend 4) change image display color 5) db formula or script in one db column (i.e. Column Z) to count how many name references in another column i.e. Column Y (which has multiple names in each row of column i.e. Y)
Skills: PostgreSQL, Ruby on Rails, Amazon EC2, Amazon S3
Fixed budget:
125 USD
8 minutes ago
|
|||||
AWS S3 Bucket Configuration Specialist
|
20 - 100 USD
/ hr
|
8 hours ago |
Client Rank
- Good
$7'734 total spent
6 hires
, 2 active
9 jobs posted
67% hire rate,
1 open job
19.18 /hr avg hourly rate paid
387 hours
4.18
of 4 reviews
Registered at: 08/08/2017
|
||
Required Connects: 15
We are seeking an experienced AWS specialist to configure an S3 bucket with specific access permissions. The project requires creating an aws_access_key_id, aws_secret_access_key, and setting up aws_region for read/write access. The ideal candidate should have a strong understanding of AWS services and security best practices. If you have a track record of successful AWS configurations and can ensure secure access management, we want to hear from you.
Skills: Amazon Web Services, Amazon S3, Amazon EC2, AWS CloudFront, DevOps
Hourly rate:
20 - 100 USD
8 hours ago
|
|||||
AWS ETL Developer Needed for MySQL/S3. Data will eventually be visualized in tableau
|
10 - 100 USD
/ hr
|
9 hours ago |
Client Rank
- Excellent
$92'644 total spent
34 hires
, 2 active
32 jobs posted
100% hire rate,
2 open job
35.91 /hr avg hourly rate paid
2456 hours
4.99
of 36 reviews
Registered at: 26/08/2016
|
||
Required Connects: 20
Looking for an expert to build an ETL pipeline for data that is present on RDS/S3. Looking for a solution that uses AWS services/or a solution that has to be built and doesn't cost a lot to run. Data will eventually be visualized in tableau.
Skills: Amazon Web Services, ETL Pipeline, Amazon S3, Python, Database
Hourly rate:
10 - 100 USD
9 hours ago
|
|||||
PostgreSQL/AWS: Complete 5 backend problems (Rails preferred, not required)
|
125 USD | 12 hours ago |
Client Rank
- Medium
$662 total spent
18 hires
225 jobs posted
8% hire rate,
3 open job
5.00
of 5 reviews
Registered at: 08/08/2024
|
||
Required Connects: 11
Project 1 v0.5 Deliverables in 1week, deploy progress to staging site for testing each working day
Backend: 1) restrict frontend's db access to only endpoint functions (and query by primary key or index, so no db scanning nor larger portion read before returning values); replace endpoint URLs, potentially follow docs to self-host on EC2 (instance already setup) 2) clone, modify, and implement SES email triggers (ie email verification) 3) integrate stripe web payment on webpage, logic to verify user first and las name matches billing name before passing gatewall user auth access to frontend 4) change image display color 5) db formula or script in one db column (i.e. Column Z) to count how many name references in another column i.e. Column Y (which has multiple names in each row of column i.e. Y)
Skills: PostgreSQL, Ruby on Rails, Amazon EC2, Amazon S3
Fixed budget:
125 USD
12 hours ago
|
|||||
Configure AWS to send daily reports -- 2
|
30 - 70 USD | 13 hours ago |
Client Rank
- Excellent
$15'701 total spent
15 hires
, 1 active
3 open job
5.00
of 7 reviews
Registered at: 14/06/2021
|
||
Objective: Configure CloudTrail, CloudWatch, SNS, and S3 to monitor activity on the EC2 server and source code, with daily alerts and reports.
Requirements: Experience with AWS CloudTrail, CloudWatch, SNS, and S3 Configuration of logs, metrics, and alarms in CloudWatch Sending automated notifications via SNS Technical documentation of the configuration Deliverables: Active monitoring and daily reports configured Automatic notifications for critical events Skills: Amazon Web Services, AWS Lambda, Amazon S3, Amazon ECS
Fixed budget:
30 - 70 USD
13 hours ago
|
|||||
Configure AWS to send daily reports -- 2
|
30 - 70 USD | 13 hours ago |
Client Rank
- Excellent
$15'701 total spent
15 hires
, 1 active
2 open job
5.00
of 7 reviews
Registered at: 14/06/2021
|
||
Objective: Configure CloudTrail, CloudWatch, SNS, and S3 to monitor activity on the EC2 server and source code, with daily alerts and reports.
Requirements: Experience with AWS CloudTrail, CloudWatch, SNS, and S3 Configuration of logs, metrics, and alarms in CloudWatch Sending automated notifications via SNS Technical documentation of the configuration Deliverables: Active monitoring and daily reports configured Automatic notifications for critical events Skills: Amazon Web Services, AWS Lambda, Amazon S3, Amazon ECS
Fixed budget:
30 - 70 USD
13 hours ago
|
|||||
AWS EMR correction
|
not specified | 17 hours ago |
Client Rank
- Medium
1 jobs posted
100% hire rate,
1 open job
Registered at: 14/09/2023
|
||
Required Connects: 12
Hello,
I am a student working on a Big Data processing project with PySpark and AWS EMR as part of my training. I have already configured the S3 buckets, uploaded my data, created the necessary IAM roles, and added my PySpark script. However, when I add the step to execute the script on the EMR cluster, it fails, and the execution does not succeed. I need assistance with the following: • Identifying and fixing the error preventing my PySpark script from running successfully on AWS EMR. • Configuring the environment so that I can execute a PySpark script at any time and perform the required tasks for my project (data preprocessing, PCA, saving results). Thank you for your help!
Skills: Amazon EC2, AWS Lambda, Amazon S3, DevOps, EMR Data Entry, Python
Budget:
not specified
17 hours ago
|
|||||
Amazon Kendra Developer | AWS, NLP & Search Optimization
|
not specified | 18 hours ago |
Client Rank
- Excellent
$59'086 total spent
28 hires
, 16 active
120 jobs posted
23% hire rate,
1 open job
19.02 /hr avg hourly rate paid
366 hours
5.00
of 11 reviews
Registered at: 07/11/2018
|
||
Required Connects: 20
We seek an experienced AWS Developer with expertise in Amazon Kendra, NLP, and search optimization to help us integrate and optimize Kendra for our business needs.
Key Responsibilities: • Set up and configure Amazon Kendra for enterprise search. • Integrate Kendra with various AWS services (S3, Lambda, IAM, etc.). • Optimize search relevancy and ranking algorithms. • Implement NLP techniques (query expansion, named entity recognition, etc.). • Work with APIs to fetch and index data from multiple sources. Required Skills: • Strong experience with Amazon Kendra and AWS services. • Expertise in Natural Language Processing (NLP). • Experience in search optimization and ranking improvements. • Proficiency in Python or Java for AWS development. • Familiarity with AI/ML models for search relevance (optional but preferred).
Skills: Amazon Web Services, AWS Application, Amazon EC2, Amazon S3, AWS Lambda, Amazon API Gateway, Python, JavaScript, Amazon ECS, API
Budget:
not specified
18 hours ago
|
|||||
Configure AWS to send daily reports
|
10 - 50 USD | 20 hours ago |
Client Rank
- Excellent
$15'701 total spent
15 hires
, 1 active
2 open job
5.00
of 7 reviews
Registered at: 14/06/2021
|
||
Objective: Configure CloudTrail, CloudWatch, SNS, and S3 to monitor activity on the EC2 server and source code, with daily alerts and reports.
Requirements: Experience with AWS CloudTrail, CloudWatch, SNS, and S3 Configuration of logs, metrics, and alarms in CloudWatch Sending automated notifications via SNS Technical documentation of the configuration Deliverables: Active monitoring and daily reports configured Automatic notifications for critical events Skills: Amazon Web Services, AWS Lambda, Amazon S3, Amazon ECS
Fixed budget:
10 - 50 USD
20 hours ago
|
|||||
AWS Lambda Developer
|
12 - 25 USD
/ hr
|
22 hours ago |
Client Rank
- Excellent
$15'545 total spent
48 hires
, 15 active
100 jobs posted
48% hire rate,
8 open job
9.16 /hr avg hourly rate paid
1541 hours
4.65
of 37 reviews
Registered at: 20/11/2022
|
||
Required Connects: 20
As an AWS Lambda Developer, you will be responsible for designing, developing, and managing serverless applications using AWS Lambda and complementary AWS services. You will work closely with me to translate business requirements into efficient, cloud-native solutions that are highly available and secure.
Will not be considering candidates who do not start the response with with the numb3r "3" this helps us vet automated messages. Develop, test, and deploy serverless applications using AWS Lambda with languages such as Python. Design and implement scalable architectures integrating Lambda with services like API Gateway, S3, DynamoDB, CloudWatch, and IAM.
Skills: AWS Lambda, Amazon Web Services, Amazon DynamoDB, Amazon S3, API, Python, Amazon EC2, Serverless Computing
Hourly rate:
12 - 25 USD
22 hours ago
|
|||||
AWS Metering code Node.TypeScript
|
200 USD | 1 day ago |
Client Rank
- Good
$1'419 total spent
6 hires
7 jobs posted
86% hire rate,
1 open job
5.00
of 5 reviews
Registered at: 31/08/2023
|
||
Required Connects: 14
Track usage of overall AWS S3 storage usage in real-time to enforce limits.
Skills: Node.js, Amazon S3
Fixed budget:
200 USD
1 day ago
|
|||||
Configure AWS server to receive daily reports
|
10 - 50 USD | 1 day ago |
Client Rank
- Excellent
$15'701 total spent
15 hires
, 1 active
2 open job
5.00
of 7 reviews
Registered at: 14/06/2021
|
||
Objective: Configure CloudTrail, CloudWatch, SNS, and S3 to monitor activity on the EC2 server and source code, with daily alerts and reports.
Requirements: Experience with AWS CloudTrail, CloudWatch, SNS, and S3 Configuration of logs, metrics, and alarms in CloudWatch Sending automated notifications via SNS Technical documentation of the configuration Deliverables: Active monitoring and daily reports configured Automatic notifications for critical events Skills: Amazon Web Services, AWS Lambda, Amazon S3, Amazon ECS
Fixed budget:
10 - 50 USD
1 day ago
|
|||||
AWS Engineer
|
10 - 25 USD
/ hr
|
1 day ago |
Client Rank
- Medium
2 jobs posted
1 open job
Registered at: 03/07/2024
|
||
Required Connects: 12
We are seeking a highly skilled and experienced Senior AWS Engineer to join our dynamic team. In this pivotal role, you will be responsible for architecting, implementing, and managing our cloud infrastructure on Amazon Web Services (AWS). You will collaborate closely with cross-functional teams to ensure the scalability, security, and efficiency of our applications hosted in the cloud. The ideal candidate will possess deep technical knowledge of AWS services and bring a strong history of successfully delivering cloud solutions.
Key Responsibilities: - Design and implement scalable, secure, and high-performance cloud architectures on AWS to support business needs. - Configure and manage AWS services including but not limited to EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, and CloudWatch. - Conduct assessments of current systems and applications to identify opportunities for optimization and migration to AWS. - Develop and enforce best practices for cloud architecture, security, and cost management. - Collaborate with DevOps and development teams to establish CI/CD pipelines and automate infrastructure deployment and management. - Monitor and maintain cloud infrastructure performance, availability, and security using AWS tools and industry best practices. - Troubleshoot and resolve issues related to AWS services, networking, and application performance. - Provide technical guidance and mentoring to junior engineers and team members. - Stay abreast of the latest AWS services and features, and evaluate their potential for improving our cloud infrastructure. Qualifications: - Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree preferred. - 5+ years of experience in cloud engineering, with a strong focus on AWS architectures and services. - AWS certifications such as AWS Certified Solutions Architect, AWS Certified DevOps Engineer, or equivalent are highly desirable. - Proficient in designing and managing AWS cloud environments using Infrastructure as Code (IaC) tools such as CloudFormation or Terraform. - Strong understanding of networking concepts, security best practices, and cloud-based workflows. - Experience with containerization and orchestration (e.g., Docker, Kubernetes) in an AWS environment is a plus. - Strong scripting skills (Python, Bash, etc.) for automation and configuration management. - Excellent problem-solving skills and the ability to work independently as well as in a team environment. - Strong communication skills to effectively articulate technical concepts to both technical and non-technical stakeholders.
Skills: Amazon Web Services, Amazon EC2, Amazon S3, AWS Lambda, DevOps, AWS CloudFormation, Python, Amazon DynamoDB
Hourly rate:
10 - 25 USD
1 day ago
|
|||||
AI Chatbot for Cloud Diagram Generation
|
~21 - 175 USD | 1 day ago |
Client Rank
- Risky
1 open job
Registered at: 03/09/2024
|
||
## **Objective**
The goal of this project is to develop a Proof of Concept (PoC) for an AI-driven chatbot that generates cloud architecture diagrams in Mermaid.js format based on user-provided problem statements. The solution should be fully hosted on AWS and use LLaMA or a similar AI model for natural language processing and diagram generation. ---------- ## **Project Scope** The project consists of two main phases: ### **Phase 1: Data Collection & Preparation** 1. **Dataset Creation:** - Gather problem statements with corresponding cloud architecture diagrams. - Identify and scrape public repositories, blogs, and AWS reference architectures. - Manually create synthetic datasets to ensure quality and coverage. - Store dataset in a structured format (JSON, CSV, or a database). 2. **Mermaid.js Conversion:** - Convert existing cloud architecture diagrams into Mermaid.js format. - Standardize the format for consistency. ### **Phase 2: AI Model Development & Chatbot Integration** 3. **Model Training & Fine-Tuning:** - Use LLaMA or a similar model as a base. - Train the model with the prepared dataset. - Fine-tune using real-world cloud architecture data. 4. **Chatbot Development:** - Create a simple chatbot interface where users input a problem statement. - AI should generate a Mermaid.js diagram as output. - Enable iterative feedback so users can refine the generated architecture. 5. **AWS Deployment:** - Containerize the solution using Docker. - Deploy on AWS using the following services: - **Amazon ECS/EKS**: For running the chatbot and model inference. - **Amazon S3**: For storing dataset and generated diagrams. - **Amazon API Gateway & AWS Lambda**: For handling API requests. - **Amazon DynamoDB or RDS**: For storing interactions and refinements. ---------- ## **Technical Details** ### **Dataset Specifications** - Format: JSON/CSV - Fields: - `problem_statement`: Text description of the problem. - `architecture_diagram`: Mermaid.js representation of the cloud architecture. - `solution_description`: Additional text describing the architecture. - Size: Minimum 10,000 records for training. ### **LLaMA Model Fine-Tuning** - Use Hugging Face or AWS SageMaker for fine-tuning. - Train on problem statements mapped to their respective architectures. - Validate accuracy using human feedback. ### **Chatbot Workflow** 1. User inputs problem statement. 2. AI processes input and generates a Mermaid.js diagram. 3. User reviews and provides feedback. 4. AI refines architecture based on feedback. 5. Finalized diagram is stored and shared. ### **Mermaid.js Diagram Generation** - AI should output a valid Mermaid.js syntax. - Example: ```mermaid graph TD; User -->|Provides Problem Statement| AI; AI -->|Generates Mermaid.js Diagram| Diagram; Diagram -->|User Reviews & Edits| Final_Diagram; ``` ### **AWS Deployment Architecture** - **Frontend:** React/Next.js for chatbot UI. - **Backend:** FastAPI or Flask (Python) to handle AI processing. - **Storage:** AWS S3 for dataset and outputs. - **Model Hosting:** AWS ECS with GPU-enabled instances. - **Database:** DynamoDB or RDS for storing interactions. - **Security:** IAM roles, API Gateway authentication. ---------- ## **Deliverables** 1. A structured dataset containing problem statements and cloud architecture solutions. 2. A fine-tuned AI model capable of generating Mermaid.js diagrams. 3. A chatbot interface for user interaction. 4. Deployment scripts and AWS configuration. 5. Documentation covering data preparation, training, chatbot usage, and deployment. ---------- ## **Required Skills** - Experience with AI/ML models, particularly LLaMA or GPT-based models. - Data scraping and dataset preparation. - Knowledge of cloud architecture (AWS preferred). - Proficiency in Mermaid.js for diagram generation. - Full-stack development for chatbot interface. - AWS services including ECS, Lambda, API Gateway, and DynamoDB. - Docker and containerization best practices. ---------- ## **Timeline & Budget** - PoC completion within **7-10 days**. - Budget: **To be discussed based on expertise and time required**. ---------- Skills: Cloud Computing, Chatbot, Containerization, LLaMA, Generative AI
Fixed budget:
30 - 250 CAD
1 day ago
|
|||||
AI-Driven Cloud Architecture Diagram Bot
|
~175 - 525 USD | 1 day ago |
Client Rank
- Risky
1 open job
Registered at: 03/09/2024
|
||
**Title: AI-Powered Cloud Architecture Diagram Generator (Mermaid.js) - Freelance Project**
## **Objective** The goal of this project is to develop a Proof of Concept (PoC) for an AI-driven chatbot that generates cloud architecture diagrams in Mermaid.js format based on user-provided problem statements. The solution should be fully hosted on AWS and use LLaMA or a similar AI model for natural language processing and diagram generation. ---------- ## **Project Scope** The project consists of two main phases: ### **Phase 1: Data Collection & Preparation** 1. **Dataset Creation:** - Gather problem statements with corresponding cloud architecture diagrams. - Identify and scrape public repositories, blogs, and AWS reference architectures. - Manually create synthetic datasets to ensure quality and coverage. - Store dataset in a structured format (JSON, CSV, or a database). 2. **Mermaid.js Conversion:** - Convert existing cloud architecture diagrams into Mermaid.js format. - Standardize the format for consistency. ### **Phase 2: AI Model Development & Chatbot Integration** 3. **Model Training & Fine-Tuning:** - Use LLaMA or a similar model as a base. - Train the model with the prepared dataset. - Fine-tune using real-world cloud architecture data. 4. **Chatbot Development:** - Create a simple chatbot interface where users input a problem statement. - AI should generate a Mermaid.js diagram as output. - Enable iterative feedback so users can refine the generated architecture. 5. **AWS Deployment:** - Containerize the solution using Docker. - Deploy on AWS using the following services: - **Amazon ECS/EKS**: For running the chatbot and model inference. - **Amazon S3**: For storing dataset and generated diagrams. - **Amazon API Gateway & AWS Lambda**: For handling API requests. - **Amazon DynamoDB or RDS**: For storing interactions and refinements. ---------- ## **Technical Details** ### **Dataset Specifications** - Format: JSON/CSV - Fields: - `problem_statement`: Text description of the problem. - `architecture_diagram`: Mermaid.js representation of the cloud architecture. - `solution_description`: Additional text describing the architecture. - Size: Minimum 10,000 records for training. ### **LLaMA Model Fine-Tuning** - Use Hugging Face or AWS SageMaker for fine-tuning. - Train on problem statements mapped to their respective architectures. - Validate accuracy using human feedback. ### **Chatbot Workflow** 1. User inputs problem statement. 2. AI processes input and generates a Mermaid.js diagram. 3. User reviews and provides feedback. 4. AI refines architecture based on feedback. 5. Finalized diagram is stored and shared. ### **Mermaid.js Diagram Generation** - AI should output a valid Mermaid.js syntax. - Example: ```mermaid graph TD; User -->|Provides Problem Statement| AI; AI -->|Generates Mermaid.js Diagram| Diagram; Diagram -->|User Reviews & Edits| Final_Diagram; ``` ### **AWS Deployment Architecture** - **Frontend:** React/Next.js for chatbot UI. - **Backend:** FastAPI or Flask (Python) to handle AI processing. - **Storage:** AWS S3 for dataset and outputs. - **Model Hosting:** AWS ECS with GPU-enabled instances. - **Database:** DynamoDB or RDS for storing interactions. - **Security:** IAM roles, API Gateway authentication. ---------- ## **Deliverables** 1. A structured dataset containing problem statements and cloud architecture solutions. 2. A fine-tuned AI model capable of generating Mermaid.js diagrams. 3. A chatbot interface for user interaction. 4. Deployment scripts and AWS configuration. 5. Documentation covering data preparation, training, chatbot usage, and deployment. ---------- ## **Required Skills** - Experience with AI/ML models, particularly LLaMA or GPT-based models. - Data scraping and dataset preparation. - Knowledge of cloud architecture (AWS preferred). - Proficiency in Mermaid.js for diagram generation. - Full-stack development for chatbot interface. - AWS services including ECS, Lambda, API Gateway, and DynamoDB. - Docker and containerization best practices. ---------- ## **Timeline & Budget** - PoC completion within **7-10 days**. - Budget: **To be discussed based on expertise and time required**. ---------- Skills: Artificial Intelligence, Cloud Development, Chatbot, Generative AI, Model Tuning
Fixed budget:
250 - 750 CAD
1 day ago
|
|||||
AI-Powered Cloud Architecture Diagram Generator using Mermaid.js
|
200 USD | 1 day ago |
Client Rank
- Risky
1 open job
|
||
Required Connects: 7
Title: AI-Powered Cloud Architecture Diagram Generator (Mermaid.js) - Freelance Project
Objective The goal of this project is to develop a Proof of Concept (PoC) for an AI-driven chatbot that generates cloud architecture diagrams in Mermaid.js format based on user-provided problem statements. The solution should be fully hosted on AWS and use LLaMA or a similar AI model for natural language processing and diagram generation. Project Scope The project consists of two main phases: Phase 1: Data Collection & Preparation Dataset Creation: Gather problem statements with corresponding cloud architecture diagrams. Identify and scrape public repositories, blogs, and AWS reference architectures. Manually create synthetic datasets to ensure quality and coverage. Store dataset in a structured format (JSON, CSV, or a database). Mermaid.js Conversion: Convert existing cloud architecture diagrams into Mermaid.js format. Standardize the format for consistency. Phase 2: AI Model Development & Chatbot Integration Model Training & Fine-Tuning: Use LLaMA or a similar model as a base. Train the model with the prepared dataset. Fine-tune using real-world cloud architecture data. Chatbot Development: Create a simple chatbot interface where users input a problem statement. AI should generate a Mermaid.js diagram as output. Enable iterative feedback so users can refine the generated architecture. AWS Deployment: Containerize the solution using Docker. Deploy on AWS using the following services: Amazon ECS/EKS: For running the chatbot and model inference. Amazon S3: For storing dataset and generated diagrams. Amazon API Gateway & AWS Lambda: For handling API requests. Amazon DynamoDB or RDS: For storing interactions and refinements. Technical Details Dataset Specifications Format: JSON/CSV Fields: problem_statement: Text description of the problem. architecture_diagram: Mermaid.js representation of the cloud architecture. solution_description: Additional text describing the architecture. Size: Minimum 10,000 records for training. LLaMA Model Fine-Tuning Use Hugging Face or AWS SageMaker for fine-tuning. Train on problem statements mapped to their respective architectures. Validate accuracy using human feedback. Chatbot Workflow User inputs problem statement. AI processes input and generates a Mermaid.js diagram. User reviews and provides feedback. AI refines architecture based on feedback. Finalized diagram is stored and shared. Mermaid.js Diagram Generation AI should output a valid Mermaid.js syntax. Example: Provides Problem Statement Generates Mermaid.js Diagram User Reviews & Edits User AI Diagram Final_Diagram AWS Deployment Architecture Frontend: React/Next.js for chatbot UI. Backend: FastAPI or Flask (Python) to handle AI processing. Storage: AWS S3 for dataset and outputs. Model Hosting: AWS ECS with GPU-enabled instances. Database: DynamoDB or RDS for storing interactions. Security: IAM roles, API Gateway authentication. Deliverables A structured dataset containing problem statements and cloud architecture solutions. A fine-tuned AI model capable of generating Mermaid.js diagrams. A chatbot interface for user interaction. Deployment scripts and AWS configuration. Documentation covering data preparation, training, chatbot usage, and deployment. Required Skills Experience with AI/ML models, particularly LLaMA or GPT-based models. Data scraping and dataset preparation. Knowledge of cloud architecture (AWS preferred). Proficiency in Mermaid.js for diagram generation. Full-stack development for chatbot interface. AWS services including ECS, Lambda, API Gateway, and DynamoDB. Docker and containerization best practices.
Skills: Python, JavaScript, Amazon Web Services, API, Java
Fixed budget:
200 USD
1 day ago
|
|||||
AWS EMR correction
|
not specified | 1 day ago |
Client Rank
- Medium
4 jobs posted
25% hire rate,
1 open job
Registered at: 14/09/2023
|
||
Required Connects: 12
Hello,
I am a student working on a Big Data processing project with PySpark and AWS EMR as part of my training. I have already configured the S3 buckets, uploaded my data, created the necessary IAM roles, and added my PySpark script. However, when I add the step to execute the script on the EMR cluster, it fails, and the execution does not succeed. I need assistance with the following: • Identifying and fixing the error preventing my PySpark script from running successfully on AWS EMR. • Configuring the environment so that I can execute a PySpark script at any time and perform the required tasks for my project (data preprocessing, PCA, saving results). Thank you for your help!
Skills: Amazon EC2, AWS Lambda, Amazon S3, DevOps, EMR Data Entry, Python
Budget:
not specified
1 day ago
|
|||||
Dev work
|
25 - 47 USD
/ hr
|
1 day ago |
Client Rank
- Excellent
$154'779 total spent
129 hires
, 21 active
101 jobs posted
100% hire rate,
1 open job
9.63 /hr avg hourly rate paid
12475 hours
5.00
of 84 reviews
Registered at: 17/01/2016
|
||
Required Connects: 19
Looking for a full stack developer to help us create an LMS (learning management system) for a client demonstration using Wordpress content. We have a Wordpress website hosted on AWS which acts as a blog. Our client has asked us to build an LMS which sits on a subdomain of the website (but could be standalone), which pulls content from the main website and delivers it via an RSS feed. SSO compliant as we already have a database on AWS S3. Content needs to be non crawlable to prevent duplicative seo errors. We have a client demo call next week, so we need to build this product for a demo soon. Understand of Wordpress, AWS, databases and sign up journey essential. Ideally, developer also understands a CMS for the integration
Skills: Database, Amazon S3
Hourly rate:
25 - 47 USD
1 day ago
|
|||||
Amazon AWS Warm Pools Expert - Django experience needed
|
70 USD | 1 day ago |
Client Rank
- Good
$2'222 total spent
60 hires
, 16 active
128 jobs posted
47% hire rate,
34 open job
3.68
of 33 reviews
Registered at: 12/09/2024
|
||
Required Connects: 11
Hi
if you have setup amazon warm pools for apps before on deployment apply to this job i need to setup amazon warm pool for one of my apps to be only triggered when they are processing videos here is a loom showing the triggers in my application - https://www.loom.com/share/37573e8f9ab04937aa53ec7f5fa2ebcb My code is Django backend and html css frontend so will need someone with experience in these in case there is edits needed in the code
Skills: Amazon Web Services, Amazon EC2, Amazon Webstore, Amazon, Amazon S3, Amazon Seller Central, AWS Application, Amazon ECS
Fixed budget:
70 USD
1 day ago
|
|||||
Scala Akka Expert Needed: Restore, Migrate & Deploy Legacy Scala Akka Project to Kubernetes
|
25 - 47 USD
/ hr
|
1 day ago |
Client Rank
- Excellent
$55'975 total spent
34 hires
, 7 active
120 jobs posted
28% hire rate,
6 open job
25.83 /hr avg hourly rate paid
1970 hours
4.74
of 18 reviews
Registered at: 09/05/2019
|
||
Required Connects: 19
Job Description:
We have a legacy Akka-based application that needs to be restored, deployed, and modernized for production use. This system is critical and will be rolled out to multiple customers, so we are looking for an expert who can not only complete this project but also maintain it in the long run. If everything works well, you will have the opportunity to continue maintaining and improving the application post-deployment. Project Scope: Phase 1: Restore & Deploy to Kubernetes Assess the current Akka project codebase and bring it back to a working state. Configure and deploy it to a Kubernetes environment with a proper setup. Ensure scalability, fault tolerance, logging, and monitoring. Document the deployment process. Phase 2: Migrate to Latest Open-Source Akka Version Upgrade the application to the latest open-source (non-licensed) version of Akka. Refactor and update any deprecated APIs and components. Perform rigorous testing and debugging to ensure full system stability. Prepare the application for production rollout to multiple customers. Long-Term Maintenance (Optional, if successful) Monitor & maintain the Akka-based system for stability and performance. Implement feature updates, bug fixes, and optimizations as needed. Ensure smooth Kubernetes deployments and scaling. Provide technical support and troubleshooting when required. Requirements: Strong expertise in Akka (both older versions & latest open-source versions). Proficiency in Scala development. Kubernetes deployment experience (Helm, Kustomize, YAML configurations). Experience migrating legacy Akka projects to modern versions. Understanding of actor-based distributed systems. Strong debugging, troubleshooting, and optimization skills. Nice to Have: Knowledge of Kafka, gRPC, or event-driven architectures. Experience with CI/CD pipeline setup for Kubernetes deployments. Familiarity with AWS/GCP/Azure cloud environments. Project Budget & Timeline: This is a milestone-based project. Please provide your estimated time and cost for: Restoring & deploying the Akka project to Kubernetes. Migrating to the latest open-source Akka version & making it production-ready. 👉 If everything works well, you will be offered a long-term role in maintaining and improving the system! How to Apply: Share examples of previous Akka projects (legacy & modernized). Describe your experience with Kubernetes deployments. Provide your estimated timeline and cost breakdown for each phase. Looking forward to collaborating with an experienced and reliable developer! 🚀
Skills: Scala, Docker, Kubernetes, DevOps, Deployment Automation, MongoDB, Amazon S3
Hourly rate:
25 - 47 USD
1 day ago
|
|||||
Terraform Setup for AWS Lambda & API Gateway in Python
|
18 - 30 USD
/ hr
|
1 day ago |
Client Rank
- Medium
$50 total spent
1 hires
, 1 active
1 jobs posted
100% hire rate,
1 open job
Registered at: 26/01/2025
|
||
Required Connects: 15
I need a dev to help me setup Terraform and Gitlab pipelines for a current project. I have the lambda code in Python and iam profile in AWS, but don't have the devops knowledge to integrate everything together with API Gateway ontop. I also need an authentication method via a lambda able to give/refresh tokens.
If you think youre up to the task, let me know if you are available for calls and screensharing, as I'd like to learn through this experience on how to do this in future. Thank you!
Skills: Amazon Web Services, AWS Lambda, Python, Amazon EC2, Amazon S3
Hourly rate:
18 - 30 USD
1 day ago
|
|||||
write articles on AWS EMR , Ec2 , S3 etc
|
not specified | 2 days ago |
Client Rank
- Risky
1 jobs posted
1 open job
Registered at: 31/03/2022
|
||
Required Connects: 7
This is to write articles and issues and fixes in Dzone and other platforms. so will talk and fix price.
Skills: Amazon Web Services, Amazon EC2, Amazon S3, AWS Lambda, Python, Linux System Administration, Amazon ECS, Java
Budget:
not specified
2 days ago
|
|||||
Amazon AWS Warm Pools Expert - Django experience needed
|
50 USD | 2 days ago |
Client Rank
- Good
$2'222 total spent
59 hires
, 15 active
125 jobs posted
47% hire rate,
33 open job
3.68
of 33 reviews
Registered at: 12/09/2024
|
||
Required Connects: 8
Hi
if you have setup amazon warm pools for apps before on deployment apply to this job i need to setup amazon warm pool for one of my apps to be only triggered when they are processing videos here is a loom showing the triggers in my application - https://www.loom.com/share/37573e8f9ab04937aa53ec7f5fa2ebcb My code is Django backend and html css frontend so will need someone with experience in these in case there is edits needed in the code
Skills: Amazon Web Services, Amazon EC2, Amazon Webstore, Amazon, Amazon S3, Amazon Seller Central, AWS Application, Amazon ECS
Fixed budget:
50 USD
2 days ago
|
|||||
AWS DevOps Expert Needed for Completing Trucky App Server Setup & Deployment
|
100 USD | 2 days ago |
Client Rank
- Good
$2'000 total spent
1 hires
, 1 active
1 jobs posted
100% hire rate,
1 open job
Registered at: 22/07/2024
|
||
Required Connects: 11
I need an experienced AWS & DevOps specialist to complete the setup of my Trucky 1.0 application on AWS infrastructure. The basic server environment has been configured, but several key components remain unfinished. Your role will be to finalize the setup, ensure all services are operational, and test the system to confirm everything is running smoothly.
Required Skills: AWS EC2, RDS, S3, IAM Linux Server Administration (Ubuntu 22.04) Nginx, PHP, MySQL Configuration DevOps & Automation (Supervisor, Composer, Image Proxy) Security & Performance Optimization See the attachment for the Project Scope and Full requirements.
Skills: Amazon Web Services, Amazon EC2, Amazon S3, Amazon ECS, PHP, AWS Application, MySQL, Laravel
Fixed budget:
100 USD
2 days ago
|
|||||
AWS Cost Optimization – Quick Review & Scheduled Instance Management
|
30 USD | 2 days ago |
Client Rank
- Excellent
$2'124 total spent
52 hires
, 2 active
69 jobs posted
75% hire rate,
13 open job
6.46 /hr avg hourly rate paid
118 hours
5.00
of 53 reviews
Registered at: 24/08/2024
|
||
Required Connects: 8
Looking for an AWS expert to help optimize my cloud costs. The task involves reviewing my AWS bill and making a minor change to reduce unnecessary spending.
✅ Identify & stop unused EC2, RDS, or Lambda resources ✅ Implement a schedule to automatically stop/start EC2 and RDS test environments during off-hours The task should be quick and simple, fitting within a $30 budget. If you have experience with AWS cost optimization, let’s get this done!
Skills: Amazon Web Services, Amazon EC2, Amazon S3, MySQL, Python, AWS Application
Fixed budget:
30 USD
2 days ago
|
|||||
PostgreSQL/AWS: Complete 5 backend problems (Rails preferred, not required)
|
125 USD | 2 days ago |
Client Rank
- Medium
$662 total spent
18 hires
222 jobs posted
8% hire rate,
5 open job
5.00
of 5 reviews
Registered at: 08/08/2024
|
||
Required Connects: 11
Project 1 v0.5 Deliverables in 1week, deploy progress to staging site for testing each working day
Backend: 1) restrict frontend's db access to only endpoint functions (and query by primary key or index, so no db scanning nor larger portion read before returning values); replace endpoint URLs, potentially follow docs to self-host on EC2 (instance already setup) 2) clone, modify, and implement SES email triggers (ie email verification) 3) integrate stripe web payment on webpage, logic to verify user first and las name matches billing name before passing gatewall user auth access to frontend 4) change image display color 5) db formula or script in one db column (i.e. Column Z) to count how many name references in another column i.e. Column Y (which has multiple names in each row of column i.e. Y)
Skills: PostgreSQL, Ruby on Rails, Amazon EC2, Amazon S3
Fixed budget:
125 USD
2 days ago
|
|||||
Amazon AWS Warm Pools Expert
|
50 USD | 2 days ago |
Client Rank
- Good
$2'052 total spent
59 hires
, 15 active
123 jobs posted
48% hire rate,
29 open job
3.68
of 33 reviews
Registered at: 12/09/2024
|
||
Required Connects: 8
Hi
if you have setup amazon warm pools for apps before on deployment apply to this job i need to setup amazon warm pool for one of my apps to be only triggered when they are processing videos
Skills: Amazon Web Services, Amazon EC2, Amazon Webstore, Amazon, Amazon S3, Amazon Seller Central, AWS Application, Amazon ECS
Fixed budget:
50 USD
2 days ago
|
|||||
AWS Cognito Managed Login Page Implementation with AWS Amplify
|
100 USD | 2 days ago |
Client Rank
- Excellent
$45'230 total spent
71 hires
, 32 active
137 jobs posted
52% hire rate,
8 open job
9.65 /hr avg hourly rate paid
879 hours
4.95
of 58 reviews
Registered at: 31/01/2018
|
||
Required Connects: 14
We are seeking a skilled developer to implement an AWS Cognito Managed Login Page using AWS Amplify. The ideal candidate will have experience with authentication services and a strong understanding of AWS infrastructure. You will work closely with our team to ensure seamless integration with our existing applications. Your expertise will help enhance the user experience and ensure secure access to our platform. If you have a passion for cloud technologies and a proven track record with AWS, we want to hear from you!
Skills: Amazon Web Services, Amazon EC2, Amazon S3, AWS Lambda, Amazon Cognito
Fixed budget:
100 USD
2 days ago
|
|||||
Amazon dropshipping expert needed
|
not specified | 2 days ago |
Client Rank
- Good
$1'010 total spent
2 hires
, 2 active
7 jobs posted
29% hire rate,
1 open job
Registered at: 20/06/2024
|
||
Required Connects: 11
Hi i need product research, listing, and customer service
Skills: SEO Keyword Research, Amazon Advertising Console, Dropshipping, Data Scraping, eBay Listing, Amazon Web Services, eBay Marketing, Amazon S3, Business with 1-9 Employees, Order Processing, Sales & Inventory Entries
Budget:
not specified
2 days ago
|
|||||
Python x AWS Lambda
|
not specified | 3 days ago |
Client Rank
- Risky
2 jobs posted
1 open job
Registered at: 06/02/2025
|
||
Required Connects: 9
I’m just looking for someone to either help me complete my script that I’ve started with the help of ChatGPT, or do it for me. Please let me know if you have skills in Python and AWS features.
Skills: C#, ASP.NET Core, ASP.NET Web API, Entity Framework, ASP.NET MVC, AWS Lambda, Amazon S3, Amazon Aurora, Amazon API Gateway, AWS CloudFormation, Amazon Cognito, AWS Cloud9, AWS CloudTrail, Amazon CloudWatch
Budget:
not specified
3 days ago
|
Streamline your Upwork workflow and boost your earnings with our smart job search and filtering tools. Find better clients and land more contracts.