Lead Software 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 home ownership 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 act as a team lead in designing, producing, testing, or implementing software, technology, or processes, as well as lead processes for creating and maintaining IT architecture, large scale data stores, and cloud‑based systems.

• Independently determine the needs of the customer while identifying and resolving conflicting or complementary needs across customer groups.
• Applying advanced skill, knowledge and experience, design and develop software solutions to meet customer needs.
• Use a process‑driven approach to leading design solutions.
• Implement new software technology and coordinate simultaneous implementation tasks across teams.
• May maintain or oversee the maintenance of existing software.

• 4 years of extensive hands‑on experience in Java development, including designing, implementing, and maintaining Java enterprise applications.
• Proficiency in multiple programming languages such as Python, C#, SQL, JavaScript, or Angular.
• Experience managing and resolving cyber vulnerabilities.
• Experience with Application Performance Management and Observability.
• Proficiency in using debugging tools and optimizing application performance.
• Experience in conducting code reviews and ensuring adherence to coding standards and best practices.
• Deep understanding of the full software development lifecycle, from requirements gathering to deployment and maintenance.

• Bachelor degree or equivalent.
• Highly skilled Java and Python skillsets with a deep understanding J2EE frameworks, such as Springboot / Spring Cloud, and REST.
• Skilled in AWS services, cloud applications and technologies, including containerization, virtualization, microservices, and server‑less architecture.
• Strong skills in system design and architecture, ensuring scalable and resilient solutions.
• Software engineering experience using AWS cloud infrastructure writing applications with AWS service APIs, AWS CLI, using SDKs and using containers.
• Understanding of AI and AI‑driven solutions and models is a huge plus.
• Proficiency using AI / ML platforms for model development and deployment is also a huge plus.
• Excellent problem‑solving skills and proactivity in resolving issues / blockers.
• Excellent verbal / written communication skills, relationship management skills, and ability to collaborate with multiple stakeholders.
• Skilled in unit, integration, functional, and performance testing strategies and tools.
• Skilled in Scaled Agile Framework (SAFe) and Agile methodology.
• Ability to create automation solutions using tools such as Selenium.
• Proven experience in leading and managing development teams, including task assignment and progress monitoring.
• Experience building effective relationships with technical and business stakeholders.
• Experience mentoring and coaching junior engineers.

Target Pay Range: $ – $ a year.

SF Technology - Software Engineering - Lead Associate

For most roles, employees are expected to work onsite on a regular basis at their designated office location. In‑office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.

• Mid‑Senior level

• Full‑time

• Engineering and Information Technology

Education:

Bachelor's Level Degree (Required).

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.

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