About the job
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.
Are you looking for an opportunity to realize the art of possibility in a short iterative approach to bring to life some of the most useful cloud native platform features? On the capital markets data platform teams, we partner with Architecture and application development teams, to develop and sustain key capabilities for the data management platform and tools!
We are searching for a creative and talented cloud engineers to join this exciting team. Apply now and learn why there’s #MoreAtFreddieMac!
Our Impact:
Financial Engineering within Investments and Capital Markets is the place where the models become software, and where many of the numbers that drive our business decisions are produced. We:
- Develop & sustain innovative, resilient and developer focused AWS eco-system (platform and tooling)
- Partner with architecture and application teams to design and solution platform features to host cloud native applications
- Evaluate and on-board new products/tools/services to enhance cloud native platform capabilities
Your Impact:
- Fully use AWS with services such as Cloud Formation Templates, S3, EC2, EKS and many more
- Partner with business and technology partners to develop intuitive and useful features using an Agile approach
- Drive the technical strategy and vision for the team
Qualifications:
- Bachelor’s degree in Computer Science or related field required
- 5 – 7+ years of Python and Shell Scripting
- 5+ years of proven ability in Enterprise Architecture and/or Platform Architecture for a financial services organization
- 5+ years of AWS Cloud experience working with AWS services EC2, S3, EKS, RDS, Mongo, EMR, Lambda, Snowflake, SNS, SQS
- 5+ years of large-scale digital transformation & AWS Cloud migration hands on experience with multiple technology areas like API, Microservices, Event Streaming, Logging & Monitoring, Databases (SQL, NOSQL), Containers, Serverless Frameworks, AI & ML etc.), API Platform (Apigee), Kafka, AMQ
- 5 + years of hands-on experience in solution, data, architecture applied to multiple large-scale enterprise systems.
- 5+ years of extensive knowledge and experience in the Data technologies for Data Analytics, Data Warehouse, Data Mart, BI, Big Data (Hadoop, HBase, Hive), N, JDBC, SQL, Java, Python, R)
APPLY