Python/AWS Developer

Title of job

Python/AWS Developer

Location of job

USA 

SUPERVISOR

Director, Informatics

About BAO Systems

BAO Systems is an industry leader in digital data solutions for health and development. We empower our partners to implement scalable and sustainable solutions that uncover data-driven insights to improve livelihoods, strengthen health systems, and achieve equitable human development.

Our team comprises passionate public health and development practitioners, information system experts, software engineers, system engineers, Python/AWS Developers, monitoring and evaluation advisors, and data scientists. We excel in providing a broad spectrum of services and products. For more information, please visit www.baosystems.com

Purpose of the role

We are seeking an experienced Python/AWS Developer to support the implementation of a modern data platform built using serverless AWS architecture for a global health project. We will ensure that data are ingested, processed, stored, and made available to a multitude of stakeholders at the country, project, and global levels for evidenced-based decision making. The platform is the foundation for the program’s business intelligence, data processing, and data extraction tools.

The ideal candidate understands the full software development lifecycle and approaches software development with a focus on APIs, automation, declarative infrastructure, and continuous integration and deployment.  The role involves developing software and solutions using Python, R, and SQL on AWS architecture as well as ensuring quality assurance. This role can be based in the DC area or remote, with the ability to obtain a US Government Public Trust background check.

Core job responsibilities

• Define and write acceptance tests to validate the functionality and performance of front-end interfaces and data processing workloads.
• Collaborate closely with developers and subject matter experts to understand requirements and design effective test strategies.
• Create sample data sets to simulate real-world scenarios and test various positive and negative scenarios.
• Execute test cases, identify and document defects, and work with the development team to resolve issues.
• Continuously improve testing processes and methodologies to enhance the overall quality of our data processing systems.
• Document test plans, test cases, and test results for future reference.

Required skills/experience

• Bachelor’s Degree in Computer Science, Engineering, or a related field.
• 2+ years of hands-on programming experience. 
• Proven experience as a QA Engineer,  Python/AWS Developer, specifically in testing data processing workloads.
• Strong knowledge of software testing methodologies, tools, and best practices.
• Comfort working with APIs, CLIs, and SDKs (Python) for implementing test cases.
• Proficiency in defining and writing acceptance tests.
• Familiarity with data processing technologies and frameworks.
• Strong working knowledge of git, GitHub, and distributed version control systems.
• Proficient with SDLC processes and working in an agile environment.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

Desired Qualifications:

• Strong experience with AWS services, particularly Cloudformation, Lambda (Python), Step Functions, Glue, DynamoDB, S3, Cloudwatch, SNS/SQS, and API Gateway.
• US Government Experience or International Public Health Background

Classification

Full-Time

BAO Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

BAO Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.