Data Engineering and Advance Analytics Enablement team is looking for an AWS SME Engineer that will be playing a key role in helping on enabling and expanding Analytics platforms for FannieMae research community and bring in key transformational changes to how we deploy Analytics Tools using AWS cloud native architecture. This role will support a full range of systems engineering activities, including technical requirements analysis, engineering review activities, and special projects that will require individual ownership of Python/R/SAS associated COTS deployments in AWS.
Duties & Responsibilities:
Participate and drive scoping and technical requirements gathering sessions for developing and deploying Python, R or SAS
Product Development including designing products, developing product roadmaps, translating design requirements, prototyping, etc.
CI/CD development and management of analytics containers and infrastructure provisioning automation, and operational excellence in the cloud
Optimize Analytics containers (Python/R) to maximize velocity, efficiency, and agility on cloud native services like ECS, EKS or AWS BATCH
Build, test and deploy new Infrastructure as Code leveraging all things AWS: Terraform, Gitlab/Jenkins, CloudFormation Templates, Code Pipeline, ECS/EKS (Docker), Lambda (R/Python), CloudWatch, Route53, S3, and more
Enhance monitor performance of systems in AWS, including overall system health, reliability, performance, and cost
Operational Excellence including improving and overseeing operations
Develop & maintain technical documentation including system diagrams, operational procedures & user guides
Leverage serverless computing, auto-scaling and right-sizing the infrastructure
Cost Optimization for Storage, EC2 instances and other resources
Required qualifications:
5+ years of production experience with setting up CI/CD pipelines in systems like Jenkins, AWS Code Pipeline
5+ years of production experience with core AWS services with experience automating AWS infrastructure
Experience with AWS cloud migrations
Strong knowledge of core AWS services- such as S3, EC2, CloudFormation, RDS, Lambda, Step Function, CloudWatch, EventBridge scheduler
Experience in Software Development preferably in Python/Java
Solid understanding of AWS networking (VPC, NACLs, SGs, routing etc.)
Fluency in AWS Cli usage and AWS SDKs for Python/Java
Python/Java knowledge sufficient to code for AWS SDKs
Hands-On Shell scripting to create, and manage automation scripts
Tools:
Python
AWS Tech Stack
DevOps
Other Competencies:
Knowledgeable in the AWS Well Architected Framework
Strong analytical, organizational, problem-solving, and time-management skills
Strong communication (verbal and written) and listening skills
Strong teamwork, planning, and coordination skills
Self-motivation, adaptability, and the ability to meet aggressive deadlines
Ability to independently research and resolve technical problems in a complex IT environment with local and remote groups
Relationship Management including managing and engaging stakeholders, customers, and vendors, building relationship networks, contracting, etc.
Experience gathering accurate information to explain concepts and answer critical questions
Influencing including negotiating, persuading others, facilitating meetings, and resolving conflict