Fannie Mae

3 weeks ago

Advisor Software Engineer (AI/ML)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Design, build, test, and maintain AI/ML-enabled software and cloud-native solutions for enterprise applications. Lead design discussions, implement new technologies, integrate REST APIs and microservices, and ensure secure, scalable, and observable software across multiple projects in a hybrid office setting.

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Determine the needs of the customer groups across multiple projects, programs, or products while identifying and resolving conflicting or complementary needs across customer groups.
•Design and develop software solutions to meet needs and may also lead matrixed teams.
•Apply extensive expertise in process-driven approach in designing solutions.
•Implement new software technology and coordinate simultaneous implementation tasks across teams.
•Oversee the maintenance of existing software

Pay and Benefits

Salary: USD 155,000 - 209,000 annually

Key Requirements

•6 years of hands-on software engineering experience designing, developing, and maintaining scalable enterprise applications and cloud-native solutions.
•Strong proficiency in Python development, including backend services, APIs, automation, data processing workflows, and production-ready AI/ML applications.
•Strong skills in system design and architecture, including scalable, resilient, secure, and maintainable solution design.
•Experience building API-driven solutions, including REST APIs, microservices, service orchestration, secure API development, and enterprise system integrations.
•Hands-on experience with AWS cloud-native development, including serverless, event-driven, containerized, and distributed application patterns.

Experience:6+ yearsFintechFinance

Skills:PythonAWSPostgreSQLSnowflakeREST APIsMicroservicesCI/CDSecurityDistributed systemsData processingAPI-drivenServerlessKubernetesDocker

Languages:English

Tech Stack:PythonAWSPostgreSQLSnowflakeREST APIMicroservicesServerlessKubernetesDockerCI/CD

Company Brief

Fannie Mae

Fannie Mae is a government-sponsored enterprise that provides liquidity, stability, and affordability to the U.S. mortgage market by guaranteeing and purchasing residential mortgage loans and mortgage-backed securities.

Industry: Lending

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Government & Public Sector

Valuation: Public Company (Market Cap in USD)

Funding: Government Funded

Headquarters: Washington, United States

Founded: 1938

Website LinkedIn

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Fannie Mae

3 weeks ago

Advisor Software Engineer (AI/ML)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Determine the needs of the customer groups across multiple projects, programs, or products while identifying and resolving conflicting or complementary needs across customer groups.
•Design and develop software solutions to meet needs and may also lead matrixed teams.
•Apply extensive expertise in process-driven approach in designing solutions.
•Implement new software technology and coordinate simultaneous implementation tasks across teams.
•Oversee the maintenance of existing software

Pay and Benefits

Salary: USD 155,000 - 209,000 annually

Key Requirements

•6 years of hands-on software engineering experience designing, developing, and maintaining scalable enterprise applications and cloud-native solutions.
•Strong proficiency in Python development, including backend services, APIs, automation, data processing workflows, and production-ready AI/ML applications.
•Strong skills in system design and architecture, including scalable, resilient, secure, and maintainable solution design.
•Experience building API-driven solutions, including REST APIs, microservices, service orchestration, secure API development, and enterprise system integrations.
•Hands-on experience with AWS cloud-native development, including serverless, event-driven, containerized, and distributed application patterns.

Experience:6+ yearsFintechFinance

Skills:PythonAWSPostgreSQLSnowflakeREST APIsMicroservicesCI/CDSecurityDistributed systemsData processingAPI-drivenServerlessKubernetesDocker

Languages:English

Tech Stack:PythonAWSPostgreSQLSnowflakeREST APIMicroservicesServerlessKubernetesDockerCI/CD

Company Brief

Fannie Mae

Industry: Lending

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Government & Public Sector

Valuation: Public Company (Market Cap in USD)

Funding: Government Funded

Headquarters: Washington, United States

Founded: 1938

Website LinkedIn