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Virginia Staffing

Cloud Infrastructure - Software Engineering - Senior Associate

Virginia Staffing, Reston, Virginia, United States, 22090

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Sr. Full Stack Engineer (AWS)

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home. As a valued colleague on our team, you will collaborate with team in designing, producing, testing, or implementing moderately complex software, technology, or processes, as well as create and maintain IT architecture, large scale data stores, and cloud-based systems. We are seeking a skilled and motivated Developer to join our Workflow Automation team in designing, developing, and implementing a modern job scheduling and orchestration solution. This role involves supporting the target state architecture, transitioning from a legacy Autosys COTS product to AWS Native Services, including Managed Workflow for Apache Airflow, AWS Step Function, AWS Batch and AWS Event Bridge while also enhancing user experience through intuitive and efficient interfaces. The ideal candidate will have a strong technical background in scheduling and orchestration products, experience in cloud-native technologies, front-end development to deliver seamless UX for end-users. The Impact You Will Make

The Sr. Full Stack Engineer (AWS) role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities: Support testing, development and production operations for the scheduling and orchestration platform. Collaborate with stakeholders to understand requirements and create a target state architecture for job scheduling and orchestration. Create error-handling mechanisms, monitoring solutions, and operational dashboards. Develop reference implementations for Apache Airflow, AWS Step Function, AWS Event Bridge and Lambda. Document use cases, system design, reference implementations/patterns and migration plans. Conduct proof concepts and help customers with implementation. Plan and execute the migration of Autosys jobs to AWS Native solutions. Build and enhance user interfaces for the Workflow Automation products, ensuring a streamlined intuitive user experience. Optimize workflows and UX designs for performance, usability and scalability. The Experience You Bring To The Team

Minimum Required Experiences: 2 years of experience. Proficiency in programming languages such as Python, Java, JavaScript, and Node.js. Hands-on experience with AWS services, including Apache Airflow, AWS Step Function and AWS EventBridge or similar technology. Strong front-end development skills using frameworks like React.js, Angular, or Vue.js. Familiarity with UX design principles, wireframing and usability testing. Experience with API development and integration. Familiarity with CI/CD pipelines and tools (e.g., Jenkins, AWS Code Pipeline, Gitlab). Deep understanding of AWS architecture and best practices, including IAM, security policies, and serverless computing (AWS Lambda). Desired Experiences: Bachelor degree or equivalent. Knowledge of Autosys and experience in migrating workflows to modern platforms. Experience collaborating with designers to ensure consistency and usability. Familiarity with accessibility standards and responsive design principles. Ability to create user-friendly and visually appealing interfaces. Experience in performance analysis and optimization of workflows and UIs. Excellent interpersonal skills to work with technical and non-technical stakeholders. Strong written and verbal communication skills for creating documentation and presenting solutions. AWS Certified Developer. AWS Certified Solutions Architect is a plus. Knowledge of infrastructure-as-code tools such as Terraform or AWS. Target Pay Range: $121,000.00 - $158,000.00 a year Internal Job Title: Cloud Infrastructure - Software Engineering - Senior Associate Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company.