✦ Luna Orbit — Software Engineering

Lead Software Engineer, Backend (AI Infrastructure & Tooling)

at Discover Financial Services

📍 Plano, TX Unknown 💰 $179K – $204K USD / year Posted March 26, 2026
Salary $179K – $204K USD / year
Type Not Specified
Experience mid
Exp. Years 4+ years
Education Bachelor's Degree
Category Software Engineering

This role involves leading backend software development for financial services, leveraging cloud platforms, containerization, and AI technologies to build scalable solutions.

  • Lead software projects
  • Develop cloud-based backend systems
  • Deploy AI workflows
  • Mentor team members
  • Ensure system performance

Focuses on backend engineering using Java, Python, SQL, and cloud tools like AWS, Kubernetes, and Docker, with an emphasis on deploying AI agents and microservices.

The ideal candidate is a mid-level software engineer with 4+ years of experience in backend development, cloud platforms like AWS, and familiarity with microservices and AI deployment, capable of leading projects and mentoring junior staff.

Bachelor's DegreeAt least 4 years of professional software engineering experienceExperience with cloud computing (AWSAzureGCP)
Master's Degree7+ years of experience in JavaScalaPythonGoor Node.jsExperience with open source frameworksBuilding or deploying AI AgentsPeople management experienceAgile practices
AWSMicrosoft AzureGoogle CloudDockerKubernetes
JavaPythonSQLNode.jsGoScalaAWSKubernetesDockerCloud computing
JavaPythonSQLNode.jsGoScalaAWSKubernetesDockerCloud computing
CollaborationMentoringCommunicationProblem-solvingInnovation
Industry Financial Services / Fintech
Job Function Leading backend development and cloud deployment for financial technology solutions
Role Subtype Software Engineering
Tech Domains Amazon Web Services, Microsoft Azure, Google Cloud Platform, Kubernetes, Docker, Python, Java, SQL
software engineerbackendcloud computingAWSAzureGCPKubernetesDockerPythonJavaScalaNode.jsGoSQLAI agentsopen source frameworksmicroservicescollaborationmentoringAgile

Lack of experience with cloud platforms (AWS, Azure, GCP), No professional software engineering experience, No experience with microservices or containerization

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