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SF Technology - Software Engineering - Senior Associate

Fannie Mae
Granite Park VII, United States, United Statesfull_timeVerifiedPosted 27 Apr 2026
💰 $161,000/yr($123,000/yr$161,000/yr)

About the role

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.

Job Description

As a valued colleague within the Single Family Technology team, you will collaborate with the 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.

THE IMPACT YOU WILL MAKE

The SF Technology - Software Engineering - Senior Associate 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:

  • Independently determine the needs of the customer and create solution frameworks.

  • Owning the design, development, and evolution of collateral and appraisal-related platforms at scale.

  • Use a process-driven approach in designing and developing solutions.

  • Implement new software technology and coordinate end-to-end tasks across the team.

  • Leading architecture and design decisions, making explicit tradeoffs across cost, latency, reliability, and complexity.

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

  • At least 2 years of experience in mortgage domain and relevant technical expertise

  • Ability to critically evaluate AI-generated code for correctness, security, performance, and maintainability

  • Mentoring engineers and raising the bar on technical and domain excellence across the team.

  • Translating complex mortgage domain requirements into robust, maintainable, and scalable systems.

  • Driving data quality, compliance, and system integrity across collateral workflows.

  • Backend and Data Engineering, Cloud & Infrastructure, Storage Warehousing, and System and API Design

  • Frameworks: Python (FastAPI or equivalent modern frameworks), Java (Spring Boot)

  • Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.

Desired Experiences

  • Bachelor degree or equivalent

  • End-to-end ownership of collateral data and valuation platforms in the U.S. secondary mortgage market, including production accountability, regulatory alignment, and operational SLAs.

  • Deep, practitioner-level expertise in residential appraisal ecosystems (URAR, UAD, UCDP), including appraisal review, reconciliation, and systemic valuation risk detection.

  • Expert software engineering across Python, Java, and PL/SQL, with deep knowledge of runtime internals, performance optimization, concurrency, and large-scale production debugging.

  • Modern application development spanning TypeScript, React/Angular, and complex backend integrations, with strong focus on performance, reliability, and developer ergonomics.

  • Architectural in distributed systems and APIs (REST and event‑driven), including idempotency, retries, rate limiting, failure isolation, schema evolution, and versioning.

  • Advanced data platform expertise covering OLTP vs. OLAP design, dimensional modeling, Lakehouse architectures, batch and streaming systems (Spark, Kafka/Kinesis/Flink), and storage formats (Parquet, Iceberg).

  • Cloud-native systems design on AWS (ECS, Lambda, S3, Glue, Kinesis), with strong IaC (Docker, Terraform), observability (metrics, tracing, logging), security (IAM, VPC), and cost-performance discipline.

Qualifications

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

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Company

Fannie Mae

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