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Full Stack Aws Python Developer Jobs in Washington

PYTHON DEVELOPER

Washington, DC ยท On-site

$57 - $78.50/hr

Qualifications: * 3+ years of experience as a Full Stack, JavaScript, or Python engineer * Strong ... Experience with AWS cloud platform * Current Technology Stack: * WordPress * AWS * Python; Django

AWS Python Developer

Reston, VA ยท On-site

$125 - $150/hr

AWS Python Developer with AI experience Location: Reston, VA Mode of Work: 3 Days hybrid Top Skills details * Strong Python and AWS skills * Machine Learning, LLM, GenAi experience * Needs to be a ...

Sr AWS Python Developer

Reston, VA ยท On-site

$126K - $170K/yr

Sr AWS Python Developer (2 positions) Location- Reston, VA (In person Client interview) day one onsite Experience : 8 to 18 years FTE or C2C We are looking for Visa independent candidates only for ...

AWS Python Developer

Reston, VA ยท On-site +1

$52.25 - $72/hr

AWS Python Developer with AI experience Location: Reston, VA Mode of Work: 3 Days hybrid Top Skills' Details Strong Python and AWS skills Machine Learning, LLM, GenAi experience Needs to be a hands ...

They are looking for a passionate Python Full Stack Developer to join their team, responsible for ... Required : โ€ข Python (MUST) โ€ข AWS Airflow, Lambda, Kinesis, SQS and DynamoDB (NEEDED) โ€ข ...

Python Developer

Mclean, VA ยท On-site

$51.50 - $71/hr

Job Title: Python developer Location: McLean, VA (Remote). Duration: 6+ Months 10 yrs experience Data pipeline experience in AWS Python developer Pyspark and EMR Good debug and troubleshooting ...

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Full Stack Aws Python Developer information

What cities in Washington are hiring for Full Stack Aws Python Developer jobs?

Cities in Washington with the most Full Stack Aws Python Developer job openings:

AWS/Python Full-Stack Developer

Chantilly, VA โ€ข On-site

Contractor

Posted 15 days ago


Job description

JD:
Client is seeking an experienced AWS/Python Full-Stack Developer to support cloud-based quantitative research, signal generation, back-testing, data, and analytics platforms.
This person will join an Agile full-stack team and work closely with developers, architects, product owners, and business partners. The role requires strong experience with Python, AWS, React, DevOps, and data engineering.
 
Key Responsibilities
* Design and develop cloud-based applications and quantitative research platforms.
* Build secure, resilient, observable, and production-ready applications.
* Develop backend services and data-processing solutions using Python.
* Create web applications and dashboards using React or Dash.
* Build and maintain data pipelines using AWS Glue, S3, PostgreSQL, and Athena.
* Develop microservices and serverless applications using Lambda, SNS, SQS, and API Gateway.
* Design and implement secure REST APIs.
* Build and support containerized applications using Amazon ECS.
* Develop proofs of concept to validate architectural patterns.
* Deploy and support AWS applications in production.
* Implement application monitoring and logging using CloudWatch.
* Support CI/CD automation using Bamboo, Bitbucket, Artifactory, and Ansible.
* Participate in Agile ceremonies, technical discussions, and knowledge-sharing sessions.
 
Required Qualifications
* Minimum 8 years of software development experience.
* Strong hands-on experience with Python, AWS, React, and data engineering.
* Experience with Python libraries and frameworks such as Pandas, NumPy, scikit-learn, Dash, Dask, Flask, and Boto3.
* Experience with AWS services such as EC2, ECS, Lambda, CloudWatch, Step Functions, S3, Glue, SNS, SQS, API Gateway, and PostgreSQL.
* Experience designing microservices and serverless applications.
* Strong understanding of data architecture, ETL pipelines, and caching strategies.
* Experience implementing secure APIs, session management, and authentication.
* Knowledge of Okta integration.
* Experience with CI/CD pipelines and modern DevOps practices.
**Preferred Qualifications**
* Experience with Amazon SageMaker and Athena.
* Knowledge of the investment-management or equities domain.
* Experience supporting quantitative research or trading applications.