Software Development Engineer, Tech Lead

At Freddie Mac, you will do important work to build a better housing finance system and you’ll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation.

Position Overview

Do you identify with words like leader, constructor, innovator, delivery, and the phrase "getting things done"? We are looking for an energized builder ready to make a difference and help us continually improve on performance to Make Home Possible!

We need a trusted engineer who is ready to collaborate with our diverse governance and support team to ensure the highest standards are being applied to ensure Freddie Mac's secure, safe and sound infrastructure services. If this sounds like you, read on!

Our Impact:

Our infrastructure engineering organization keeps Freddie Mac running on a solid foundation day in day out. We support all of Freddie Mac's data center footprints, and we lead the design, planning, delivery, and operation of all Freddie Mac's on-premises private cloud infrastructure for compute and storage and select AWS infrastructure.

Your Impact:

Contribute to a fast-paced customer-centric environment that requires excellent technical and interpersonal skills. Build new features and services using AWS and hybrid cloud technologies. Design, build, and implement distributed systems and work on cloud infrastructure services design.

Methodological leader who can serve and be an example to others, delivering immediate results to customers on big creative infrastructure challenges while being an ambassador for bold ideas from everywhere and empowering others to own them to completion. Mentor and assess engineering colleagues' talent to help impact technology innovations to reduce customer difficulties and improve operations with a hawkish focus on lowering costs.

Qualifications

• 8+ years DevOps experience developing innovative and practical AWS cloud application with Python through full software creation process.

• Bachelor’s degree in computer science or related technical field; advanced studies/degree preferred

• 4+ years technical engineering experience with more than one of the following coding languages: Python (highly preferred), Java, Go, Rust, Kotlin, C

• 4+ years of professional (non-intern) experience building enterprise-grade solutions in AWS Cloud Infrastructure

• Proven experience in infrastructure as code (like AWS CloudFormation, Terraform), CICD, & build automation (like Jenkins or AWS pipelines).

• Experience in building highly available distributed systems at scale using IaC (Infrastructure as Code).

• 5+ years of experience with Linux bash shell script and open to using power shell on Microsoft systems

• Comfortable with Git repositories, and organisational change

• 3+ year of experience with Agile DevOps such that scrum or kanban

• 4+ years of experience delivering well received design and architecture documents.

• Experience optimally working across fields, groups, and teams to ethically assure outcomes and alignment

• Comfortable working in, elevating, and adapting to a high stake environments and leadership

• History of collaboration to generate a phenomenal outcome for everyone

• Outstanding writing and communications skills

• Released a RESTful APIs and GraphQL

• AWS services like Lambda, STS, SNS, SQS, DynamoDB, CloudTrail, Cloud Formation, and CloudWatch, & X-ray

• Experience with Red Hat Enterprise Linux (RHEL) and related services with proficiency in Ansible

• Willingness to travel at least 10% of the time

Keys to Success

• A strong background in risk management with a willingness to get regulatory compliance activities complete and correct every-time

• Experience with cybersecurity with familiarity with application security including AWS security best practices and AWS security services to protect sensitive data and systems

• Getting security right through encryption, secure credential/key management, and slinging authorization policy is a mole hill and not a mountain for you

• Experience with Microsoft enterprise solutions or VMWare

• Experience with hybrid cloud DevOps

• Experience with GitHub + Open AI coding environments

• Experience in AI, machine learning, or data science such as Amazon Bedrock, Amazon SageMaker, Jupyter notebooks, pandas, RHEL AI, & Red Hat InstructLab

• Ability to recognize that your success is tied to the success of your customers and team

• Proven history of influencing others to deliver better