Senior AWS Developer

HonorVet Technologies is a Service Disable Veteran-Owned IT staffing firm, ISO 9001 and ISO 27001 certified, working with federal agencies, state governments, and Fortune 500 enterprise clients across the US. What makes us different isn''t a tagline; it''s the way we work. We don''t forward resumes and hope for the best. We take the time to understand where a professional like you is headed and only reach out when we genuinely believe there''s a fit worth exploring.

Job Title : Senior AWS Developer
Location: Raleigh, NC-27607 – Hybrid
Duration: 12 Months
Job Summary
We are seeking a Senior AWS Developer with 10–15 years of software development experience to support data modernization initiatives. The ideal candidate will have strong hands-on experience designing, developing, and implementing enterprise-level AWS solutions, with a particular focus on AWS Data Lakes, data engineering, cloud modernization, Python development, security, and DevOps/DevSecOps.
The candidate will work closely with technical and business stakeholders to modernize legacy applications, develop scalable cloud solutions, and support data ingestion, processing, transformation, governance, and analytics.
Key Responsibilities

• Collaborate with stakeholders to gather requirements and recommend effective cloud modernization strategies.
• Design, develop, test, debug, and deliver scalable AWS solutions within project timelines.
• Develop and implement enterprise-level AWS Data Lake solutions.
• Build data ingestion, storage, processing, and transformation pipelines using appropriate AWS services.
• Customize AWS ETL processes and business logic using Python.
• Modernize legacy applications through cloud migration, refactoring, and re-platforming.
• Provide technical guidance and troubleshooting throughout the project lifecycle.
• Identify architectural risks and develop appropriate mitigation strategies.
• Design secure, scalable, and highly available AWS architectures.
• Implement security and data governance controls, including fine-grained permissions, encryption, auditing, and compliance.
• Develop and maintain CI/CD pipelines and support DevOps/DevSecOps practices.
• Implement Infrastructure as Code (IaC), automation, monitoring, and logging solutions.
• Analyze and resolve complex technical issues and challenges.
• Advise technical teams on industry trends, emerging technologies, and AWS best practices.
• Ensure solutions follow enterprise architecture standards, security requirements, and development best practices.
• Communicate effectively with technical teams, senior IT leadership, business stakeholders, and other non-technical audiences.
• Work within Agile/Scrum development environments.

Required Skills

• 10–15 years of software development experience.
• Extensive hands-on experience designing and developing AWS Data Lake solutions.
• Strong experience with AWS services used for enterprise-level data lakes and data engineering.
• Experience with data ingestion, data storage, data processing, and data transformation.
• Hands-on experience with AWS machine learning-related services and solutions.
• Strong Python development and scripting experience.
• Experience customizing AWS ETL logic using Python.
• Experience modernizing and migrating legacy applications to cloud environments.
• Strong knowledge of AWS security and data governance.
• Experience with IAM, fine-grained permissions, user/service permissions, encryption, auditing, and compliance.
• Experience with transactional databases and/or RDBMS.
• Hands-on experience with DevOps, DevSecOps, Infrastructure as Code, automation, and CI/CD pipelines.
• Experience with monitoring and logging in AWS environments.
• Experience working in Agile/Scrum environments.

Preferred Skills

• Experience with ETL tools and data integration technologies.
• Experience with Power BI, AWS QuickSight, or other data analytics/visualization platforms.
• Experience with object-oriented programming languages in addition to Python.
• Experience with enterprise data governance and security frameworks.
• Experience working on large-scale data modernization or cloud transformation projects.

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