Hybrid work from Reston, VA:
At Fannie Mae, futures are made. The inspiring work we do makes an affordable home a reality and a difference in the lives of Americans. Every day offers compelling opportunities to modernize the nations housing finance system while being part of an inclusive team using new, emerging technologies. Here, you will help lead our industry forward, enhance your technical expertise, and make your career.
As a valued colleague on our team, you will act as team lead for data protection team in Fannie Mae's cybersecurity. In this role, responsible for setting up, maintaining, and evolving the AWS cloud infrastructure applications, developing application in Python, as well as coach and mentor less experienced team members.
THE IMPACT YOU WILL MAKE
The Lead DevOps Engineer (Python/AWS) 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:
Coordinating with development teams to determine application requirements.
Advise team and management on process improvements and opportunities for automation.
Understanding of core AWS services, uses, and AWS architecture best practices.
Plan and lead DevOps team in executing project tasks and coordinating interrelated technical tasks.
Implementing security and data protection
Lead processes for the timely resolution of the most critical and/or complex issues.
Coordinate with subject matter experts across the release lifecycle to obtain input and support for planned DevOps engineering activities.
Recommend opportunities to enhance alignment between IT operations and the business.
Understanding of machine-learning ,building analytic systems and predictive models
Managing a team of data scientists, machine learning engineers and big data specialists
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences
At least 6 years of relevant experience
Skilled in Python object-oriented programming
Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
Bachelor's degree or equivalent
Experience in data mining
Writing scalable code using Python programming language.
Expert knowledge of Python and related frameworks including Django and Flask.
A deep understanding and multi-process architecture and the threading limitations of Python.
Skilled in cloud technologies and cloud computing.
Experience designing and building web environments on AWS, which includes working with services like EC2, ELB, RDS, and S3
Knowledge of writing infrastructure as code (IaC) using CloudFormation or Terraform.
Experience with building or maintaining cloud-native applications.
The group of skills related to Programming including coding, debugging, and using relevant programming languages
The group of skills related to Product Development including designing products, developing product roadmaps, translating design requirements, prototyping, etc.
Working with people with different functional expertise respectfully and cooperatively to work toward a common goal
Skilled in creating and managing databases with the use of relevant software such as MySQL
Experience with SQL and NoSQL databases
Ability to frame ideas as systems and analyzing the inputs, outputs, and process
Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand
The group of skills related to Business Insight including advising, designing business models, interpreting customer and market insights, forecasting, benchmarking, etc.
The group of skills related to Learning and Training including conducting, developing, and evaluating training, instructional design, and learning management systems
The group of skills related to Influencing including negotiating, persuading others, facilitating meetings, and resolving conflict
Adept at managing project plans, resources, and people to ensure successful project completion
Ability to transform business processes using BPA, RPA, or other technology-enabled automation
Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
Experience gathering accurate information to explain concepts and answer critical questions
Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere
Focused experience in artificial intelligence (AI), including machine learning and natural language processing (NLP)
Expertise in service management concepts for networks and related standards such as ITIL practices or SDLC
Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager
Skilled in Jenkins
Skilled in PostgreSQL
Skilled in AWS Database products such as RDS, Redshift, or Aurora
The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.
Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at [email protected].
The hiring range for this role is set forth on each of our job postings located on Fannie Mae's Career Site. 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.