Backend Developer (Python)

The DIgital Modernization Sector has an opening for a Backend Developer with Python.

You will work collaboratively with Product Managers, Designers, and Engineers to set up,

develop, and maintain critical back-end integrations for the data and analytics platform that

allows users to, access data catalogs, request compute resources, and manage data access

controls for an enterprise data and analytics platform

Responsibilities:

• Building, iterating, and testing scalable, back-end APIs for web applications

• Designing and developing data models to optimize data access for web applications

• Participating in Agile processes including daily standups, demos, retrospectives, and

sprint planning

• Working closely with leadership to gather and implement business requirements

• Working closely with designers and engineers to gather and implement product, frontend, and back-end requirements

• Providing support, maintenance, and enhancements to the existing application

• Collaborating with product managers, engineers, and QA on the team to communicate

and clarify designs and requirements

Education and Experience:

• Bachelor's Degree or equivalent in experience in Engineering, Computer Science, or

related field.  Additional years of experience may be substituted in lieu of degree.

• 7+ years of experience in software application development, particularly in an agile

development environment including but not limited to daily scrum, iteration reviews,

Kanban/Lean, continuous integration and test-driven development

• 3+ years of experience in AWS cloud data architecture

Qualifications:

• Experience with AWS

• Experience with Node.js, Rust, and Python

• Deep understanding of APIs, and familiarity with JSON, Web APIs, REST APIs, JSONRPC, XML-RPC, RESTful practices, and GraphQL

• Experience with Docker containerization and deployments

• Experience in relational and non-relational databases like SQL, MySQL, NoSQL,

PostgreSQL, MongoDB or similar

• Experience with benchmarking, monitoring, and performance engineering applications

with tools such as Grafana, Sentry, New Relic and Prometheus

• Knowledge of AuthN and AuthZ systems, including Active Directory, Okta, and AWS

IAM Policies/Roles using attribute-based access controls

• Knowledge of automated end-to-end and unit tests and testing platforms

• Strong documentation and problem-solving skills

• Experience with Git and DevOps

• Experience with Kubernetes

• Strong verbal and nonverbal communication skills

• Some experience with DevOps tools Terraform desired

• Experience in the Big Data space a plus

• Experience with implementing Observability solutions with platforms such a

NewRelic/Dynatrace to implement JVM metrics tracking and python application tracking

for microservice applications

• Experience implementing complex pipelines and solving challenging problems in Github

Actions Pipelines, Github Runner provisioning, execution, configuration and upgrade

• Experience with implementing, managing and streamlining a release process with focus

on code quality and code coverage

• Experience installing, calibrating and streamlining observability solutions in an

operations environment.

• Databricks or Spark Experience a plus

Must be able to obtain and maintain a public trust clearance.

All candidates supporting the CMS programs must have lived in the United States at least three (3) out of the last five (5) years prior in order to be considered.

Original Posting Date:

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.