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Fannie Mae
Fannie Mae

(Advisor) Splunk Engineer

직무DevOps
경력미들급
위치Reston, Vatican City, United States
근무오피스 출근
고용정규직
게시2개월 전
지원하기

필수 스킬

Python

AWS

Terraform

Git

Linux

GCP

Azure

Jira

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 contributor to our team, you will provide expert advice to the team and participate in designing, developing, testing, and/or maintaining hardware, technology, and/or processes.

THE IMPACT YOU WILL MAKE

The (Advisor) Splunk Engineer 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:

  • Determine the needs of customer groups across multiple projects, programs, or products while identifying and resolving conflicting and/or complementary needs.
  • Design and develop technical solutions, which include leading matrixed teams.
  • Apply extensive expertise in process-driven approach in designing solutions.
  • Oversee the maintenance of existing technical solutions

There is one opening for this position which can be based in our Reston, VA or Plano, TX office.

An Advisor at Fannie Mae is on the same level as a manager but as an individual contributor.

THE EXPERIENCE YOU BRING TO THE TEAMMinimum Required Experiences

  • 6 years of hands-on Splunk administration and engineering experience.
  • Strong understanding of Splunk architecture (indexers, search heads, forwarders, clustering, licensing).
  • Proficiency in SPL (Search Processing Language).
  • Experience with onboarding data from multiple sources (syslog, APIs, cloud platforms, security tools).
  • Familiarity with Splunk Enterprise Security (ES)
  • Solid background in Linux/Unix system administration.
  • Scripting skills (Python, Bash, or PowerShell).
  • Strong troubleshooting and problem-solving skills.
  • Strong experience with Amazon Web Services (AWS)

Desired Experiences

  • Splunk Core Certified Power User, Administrator, Architect, or ES certification(s)

  • Experience with cloud platforms (AWS, Azure, GCP) and Splunk Cloud.

  • Experience with SIEM, SOAR, or other log management/security platforms.

  • Familiarity with security frameworks (MITRE ATT&CK, NIST, CIS).

  • Knowledge of DevOps tools (Git, Ansible, Terraform, CI/CD pipelines).

  • Information Security Technology

  • Engineering

  • Advisor

155,000.00 - 209,000.00

JR2111

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), Cyber Ark, 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

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Fannie Mae 소개

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

직원 수

Washington

본사 위치

리뷰

10개 리뷰

3.8

10개 리뷰

워라밸

4.0

보상

2.5

문화

4.2

커리어

2.8

경영진

3.9

68%

지인 추천률

장점

Supportive management

Good work-life balance and flexibility

Job security and stability

단점

Low/uncompetitive compensation

Limited advancement opportunities

Heavy workload and long hours

연봉 정보

0개 데이터

Junior/L3

Mid/L4

Principal/L7

Senior/L5

Junior/L3 · Data Scientist

0개 리포트

$113,650

총 연봉

기본급

-

주식

-

보너스

-

$96,402

$130,898

면접 후기

후기 4개

난이도

3.0

/ 5

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Interview

6

Offer

자주 나오는 질문

Technical Knowledge

Behavioral/STAR

Past Experience

Coding/Algorithm

Culture Fit