Company: AVER
Salary: $80,000 - $100,000
Type: Onsite
Employment: Full Time
Description: AVER is a fast-growing SDVOSB that has achieved significant revenue growth over the past 5 plus years with much of our work focused on Data Analytics, Mission Support, IT Modernization and Biometrics. AVER is seeking a skilled and experienced back-end Python Developer to join our engineering team and drive the development of high-performance, secure APIs, microservices, and data and machine learning pipelines. You'll be responsible for building scalable and secure backend systems, developing machine learning models, integrating with external services, and implementing secure and robust authentication and data processing solutions using modern Python frameworks and AWS cloud technologies. Join a collaborative team who values AVER’s mission, focus, and culture of delivering exceptional client service with great people and transformative technology solutions that ensure Government mission success. Responsibilities Include: API Development: Design, develop, and maintain secure RESTful APIs using Python (FastAPI or similar frameworks) with sufficient documentationMicroservices Architecture: Build containerized Python applications using Docker, with deployment in AWS cloud environmentsExternal Integrations: Integrate with third-party APIs including ServiceNow and government data sources, ensuring robust error handling and performanceData Processing: Develop data pipelines and work with SQL/NoSQL databases for efficient data management. Apply NLP techniques for document processing (PDF, Word, Excel, etc.)AI/ML Integration: Implement AI/ML workflows using modern frameworks and librariesSecurity and Compliance: Apply secure coding practices and implement authentication systems (OAuth 2.0/JWT)Code Quality: Write clean, maintainable code following Python best practices. Develop unit and integration tests for system reliabilityAgile Development: Contribute to rapid development through agile sprints. Work collaboratively using Git workflows and modern development practicesEducation Requirements: Bachelor’s degree in Computer Science, Information Systems, or a related field of study Experience Requirements: 7+ years of professional Python development experienceExperience supporting Python applications in production environmentsExperience with RESTful API development using Python frameworks (e.g., FastAPI, Flask, or Django)Experience with external API integration and data exchangeProficiency with Git workflows (branching, merging, pull requests)Knowledge of authentication and security best practicesExperience with ML model training and deployment—ML component maybe the least important. Experience with SQL databases and writing SQL statementsExperience with Docker for application containerizationExperience with python testing frameworks and code quality practices. Performs strong TDD practices and testing methodologiesExperience with AWS cloud services (any level of familiarity) Experience with monitoring and observability servicesBackground supporting Department of Defense or similar government agenciesAbility to build secure applications that maintain industry security standards or frameworks: NIST, ISO 27001, OWASP Top 10, CIS Benchmarks, and Zero Trust models ensuring compliance and resilienceStrong collaboration and communication skillsDesired Requirements: Experience with high performance Kubernetes deployments (e.g., EKS) preferredExperience creating and supporting high performance data processing and ETL pipelines (e.g., AWS Glue, Databricks) preferred Experience designing highly performant and scalable distributed systems using Kubernetes (e.g., EKS), Application Load Balancers (e.g., AWS ALB), and Service Mesh’s (e.g., AWS App Mesh, Istio), desired Experience implementing caching (e.g., Redis) for high-performance applications, desired Experience leveraging message queues (e.g., AWS SQS) for asynchronous processing, preferred Experience with advanced SQL, data modeling, and optimizing databases, preferredExperience using AWS SageMaker for ML model training and deployment, preferredExperience with AI/ML frameworks and LLM API integration. Understanding of token economics preferred Experience implementing feature flags in development workflows (e.g., AWS AppConfig), preferred Knowledge of microservices architecture patterns, preferredKnowledge of Infrastructure as Code (e.g., Terraform), preferredExperience with ServiceNow or similar enterprise platforms, nice to haveExperience with NoSQL databases (MongoDB, DocumentDB), desired Experience conducting code reviews and in pair programming, nice to have Experience creating developer-friendly API documentation (OpenAPI/Swagger), desired Experience with CI/CD pipelines and DevOps practices, desired Experience with full stack development. Experience building or supporting front-end web applications using React.js, highly preferred Familiarity with government cloud environments (e.g., AWS GovCloud, Azure Government) Location: REMOTE (Local to Washington, DC) Security Requ
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