Advisor Software Engineer (AI/ML)

Fannie Mae
United States
Workplace: HybridFull timeUSD 155,000 - 209,000 annuallyFunction: Software EngineeringExperience: 6+ yearsSkills: ["Python","AWS","PostgreSQL","Snowflake","REST APIs","Microservices","CI/CD","Security","Distributed systems","Data processing","API-driven","Serverless","Kubernetes","Docker"]

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.

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Fannie Mae
Fannie Mae
2 months 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: 2 days agoStatus: Closed

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
WebsiteLinkedIn