Sr. Python Developer

As a Backend Application Developer, you will be an integral part of the Network Analytics & Reliability Enablement (NARE) team, working within a mature, scalable agile delivery framework organized into pods. Your day-to-day responsibilities will involve collaborating with your team to architect and develop analytics applications that support the company's strategic programs for 2025 and beyond. You will deliver scalable infrastructure capable of running new data science models and onboarding additional models. Your role will require proficiency in Python, cloud services (preferably AWS), SQL, graph databases, and data pipeline development. You will also be responsible for data modeling, database design, deploying and maintaining applications in production environments, and version control using Git. Experience with various AWS services, NoSQL/document databases, container technologies, graph query languages, and in-memory data stores will be advantageous. We are looking for developers local to Atlanta, GA as there are some onsite days required for this role.

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Python programming
Redis or something complementary (in-memory focused database)
Having used a document database or some other NoSQL alternative (variety of databases - SQL, NoSQL, Postgres, graph databases - some services have 3-4 data stores just for one application)
AWS Services: Lambda, SNS/SQS, Kafka, S3, Docker / Kubernetes
Experience designing a solution; the ability to speak to why specific services were used over others, why a certain tool or service was chosen for the specific use case, etc.

Data science/ ML-engineering
Graph database- this team owns a huge graph database (topology data) so exposure here would be a big plus!
Experience with graph query languages (e.g., Gremlin, GraphQL)
Experience developing data pipelines to ingest from data streams such as Kafka
Data modeling and database design
Version control / git experience
Container experience (e.g., Docker, Kubernetes)
In-memory data stores (e.g., Redis, ElastiCache)

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.