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Leidos

Kubernetes Backend Software engineer

Leidos, Virginia, Minnesota, United States, 55792


DescriptionThe 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 applicationsDesigning and developing data models to optimize data access for web applicationsParticipating in Agile processes including daily standups, demos, retrospectives, and sprint planningWorking closely with leadership to gather and implement business requirementsWorking closely with designers and engineers to gather and implement product, frontend, and back-end requirementsProviding support, maintenance, and enhancements to the existing applicationCollaborating with product managers, engineers, and QA on the team to communicate and clarify designs and requirementsRequired 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 developmentExtensive experience in an agile development environment including but not limited to daily scrum, iteration reviews, Kanban/Lean, continuous integration and test-driven developmentExtensive experience in AWS cloud data architectureExperience with one of the major cloud service providers (AWS preferred)Experience with Node.js, Rust, and PythonDeep understanding of APIs, and familiarity with JSON, Web APIs, REST APIs, JSONRPC, XML-RPC, RESTful practices, and GraphQLExperience with Docker containerization and deploymentsExperience in relational and non-relational databases like SQL, MySQL, NoSQL, PostgreSQL, MongoDB or similarExperience with benchmarking, monitoring, and performance engineering applications with tools such as Grafana, Sentry, and PrometheusKnowledge of AuthN and AuthZ systems, including Active Directory, Okta, and AWS IAM Policies/Roles using attribute-based access controlsKnowledge of automated end-to-end unit tests and testing platformsStrong documentation and problem-solving skillsExperience with Git and DevOpsStrong verbal and nonverbal communication skillsExperience with DevOps tools Terraform and k8sExperience in the Big Data space a plusMust 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 to being considered.Original Posting Date:

2024-08-16While 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:

Pay Range $101,400.00 - $183,300.00The 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.#Remote

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