Kubernetes Backend Software engineer

The Digital Modernization Sector has an opening for a Kubernetes Backend Software Engineer.

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

Required Qualifications:

• 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.

• 8+ years of experience in software application development

• Extensive experience in an agile development environment including but not limited to daily scrum, iteration reviews, Kanban/Lean, continuous integration and test-driven development

• Extensive experience in AWS cloud data architecture

• Experience with one of the major cloud service providers (AWS preferred)

• 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, 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 unit tests and testing platforms

• Strong documentation and problem-solving skills

• Experience with Git and DevOps

• Strong verbal and nonverbal communication skills

• Experience with DevOps tools Terraform and k8s

• Experience in the Big Data space 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.