Advisor Software Engineer (AWS)

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.

THE IMPACT YOU WILL MAKE

The Advisor Software 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 Fannie Mae mission to make homeownership accessible and sustainable for all Americans.

• Applying advanced skills, knowledge and experience, design and develop software solutions to meet customer needs in support of the Fannie Mae's servicing platform.

• Help organization adopt emerging technologies and innovations.

• Help organization strengthening readiness and operability while staying ahead of risk.

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences:

• 6years of extensive hands-on experience in Java development, including designing, implementing, and maintaining Java enterprise applications.

• Strong skills in system design and architecture, ensuring scalable and resilient solutions

• Proficiency in multiple programming languages such as Angular.

• Experience building effective relationships with technical and business stakeholders

• Excellent collaboration and communication skills to work effectively with cross-functional teams and stakeholders

• Experience with Application Performance Management and Observability

• 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

• AWS Cloud Technologies:

  • Strong skills in system design and architecture, ensuring scalable and resilient solutions
  • At least 4 years in software engineering using AWS cloud infrastructure writing applications with AWS service APIs, AWS CLI, using SDKs and using containers

• AI/ML Technologies:

  • 2+ years of experience in machine learning, data science, or AI engineering.
  • Hands-on experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering.
  • Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Deep experience with AWS services, especially Bedrock, S3, EC2, and Lambda

• Leadership Skills:

  • Proven experience in managing architecture and design that impacts multiple development teams, including task assignment.

  • Experience building effective relationships with technical and business stakeholders.

  • Excellent collaboration and communication skills to work effectively with cross-functional teams and stakeholders

  • Experience mentoring and coaching junior engineers

Desired Experiences:

• Bachelor's or master's degree in computer science, Engineering, or a related field.

• 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 inunit, integration, functional, and performance testing strategies and tools

• Skilled in Scaled Agile Framework (SAFe) and Agile methodology

• Experience managing and resolving cyber vulnerabilities

• Experience mentoring and coaching junior engineers

SF Technology - Software Engineering - Advisor

JR2174

155,000.00 - 209,000.00

Qualifications
Active Directory (AD), Active Directory (AD), Amazon Web Services (AWS), Artificial Intelligence (AI), Atlassian JIRA, Authentication Management, Backup and Recovery (Software), Business Insight Skills, Business Process Management Skills, Calendar and Scheduling Tools, Cleaning and Transforming Data, Cloud Technology, Collaborating Cross-Functionally, Communicating in Technical Writing, Communicating Technical Information, Communication, Configuration Management (CM), Conflict Resolution, Coordination, Customer and Market Insights, Customer Relationship Management (CRM), CyberArk, Cybersecurity Analysis, Data Analysis, Data Analysis Interpretation {+ 60 more}

Education:
Bachelor's Level Degree (Required)

The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.

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.

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. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form .

The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here .

Requisition compensation:
155000
to
209000