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职位Fannie Mae

Enterprise Data- Software Engineering- Senior Associate

Fannie Mae

Enterprise Data- Software Engineering- Senior Associate

Fannie Mae

Reston, VA

·

On-site

·

Full-time

·

1mo ago

必备技能

Python

AWS

Docker

Kubernetes

Terraform

Git

Linux

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:

Fannie Mae seeks Software Engineer – Reston, VA

  • Advise team and management on process improvements and opportunities for automation.
  • Apply extensive knowledge of DevOps engineering principles and advanced techniques to manage the timely resolution of DevOps related projects.
  • Coordinate with subject matter experts across the release lifecycle to obtain input and support for planned DevOps engineering activities.
  • Participate in cross-departmental process improvement and automation initiatives.
  • Automate Cloud-native technologies, deploy applications and provision infrastructure.
  • Work with technical teams to implement DevOps solutions to accelerate software delivery.
  • Design and automate CI/CD workflows using Jenkins, GitLab or similar tools.
  • Work on Infrastructure as Code, using CloudFormation, Terraform or similar tools.
  • Perform end-to-end software development lifecycle and delivery using Agile methodologies.
  • Deploy large-scale Enterprise applications using Container and Cloud technology.
  • Implement GitLab and Terraform CI/CD.
  • Mentor less experienced team members.

This is a Flex position, limited remote work possible

Req’d:

Bachelor’s in Computer Science plus five years of progressive experience in Dev Ops engineering in the mortgage industry, using AWS (including EC2, RDS, Redshift, ECS, Lambda, Route 53, Bedrock, Sage Maker), Docker, GitHub, GitLab, Terraform, Urban Code Deploy, Urban Code Release, Kubernetes, Linux, Jenkins, Git, Gradle, Apache Maven, Nexus, Python, Groovy, and Agile methodologies and practices. Excellent communication (oral and written) skills are also required.

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 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:

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关于Fannie Mae

Fannie Mae

Fannie Mae is a government-sponsored enterprise that purchases mortgages from lenders and securitizes them into mortgage-backed securities. The company operates in the secondary mortgage market to provide liquidity and stability to the U.S. housing finance system.

5,001-10,000

员工数

Washington

总部位置

评价

3.8

10条评价

工作生活平衡

3.8

薪酬

2.5

企业文化

4.2

职业发展

2.8

管理层

3.5

65%

推荐给朋友

优点

Supportive and approachable management

Good work-life balance and flexibility

Collaborative and friendly work environment

缺点

Low or non-competitive compensation

Limited career advancement opportunities

Heavy workload and occasional long hours

薪资范围

0个数据点

Junior/L3

Mid/L4

Principal/L7

Senior/L5

Junior/L3 · Data Scientist

0份报告

$113,650

年薪总额

基本工资

-

股票

-

奖金

-

$96,402

$130,898

面试经验

3次面试

难度

3.0

/ 5

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Review

常见问题

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Culture Fit