✦ Luna Orbit — Software Engineering

Lead Software Engineer, Back End, CORE ( Java, Python, AWS)

at Capital One Financial

📍 4 Locations Unknown 💰 $197K – $225K USD / year Posted March 28, 2026
Salary $197K – $225K USD / year
Type Not Specified
Experience mid
Exp. Years 4+ years
Education Not specified
Category Software Engineering

This role involves leading backend development projects, building microservices, and leveraging cloud platforms like AWS to deliver scalable financial technology solutions.

  • Lead backend projects
  • Develop microservices
  • Collaborate with product teams
  • Migrate systems to cloud
  • Mentor junior engineers

Focus on Java, Python, AWS, microservices, Docker, Kubernetes, and full stack development within an agile environment, supporting banking and financial services systems.

The ideal candidate is a mid-level back end software engineer with 4+ years of experience in Java, Python, and cloud platforms like AWS. They should have experience with microservices, container orchestration, and agile practices, with strong collaboration skills.

JavaPythonAWSCloud computingMicroservices
ScalaNode.jsGCPAzureOpen Source frameworksAgile practicesPeople management
DockerKubernetesAWSGCPAzureOpen Source frameworks
JavaPythonAWSMicroservicesDockerKubernetesCloud computingFull stackAgile practices
JavaPythonAWSAmazon Web ServicesMicroservicesFull stack systemsDockerKubernetesSQLNoSQLOpen Source frameworksAgile practices
CollaborationProblem-solvingTeamworkMentoringCommunication
Industry Financial Services / Banking
Job Function Backend software development and cloud integration
Role Subtype Back End Software Engineer
Tech Domains Java, Python, Amazon Web Services, Docker, Kubernetes, Cloud computing, Microservices, Open Source frameworks
JavaPythonAWSAmazon Web ServicesMicroservicesDockerKubernetesCloud computingFull stackAgileGCPAzureOpen Source frameworksMentoringTeam collaboration

Lack of experience with Java or Python, No cloud platform experience, No microservices background, No experience with Docker or Kubernetes, Inability to work in a collaborative environment

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