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Senior Software Engineer

Roles & Responsibilities

  • 5+ years of experience in software engineering.
  • Bachelor's degree in computer science, computer and electrical engineering, or equivalent technical experience (graduate degree preferred).
  • Proficiency in back-end and front-end development within Agile teams, with professional experience in GraphQL and React, and strong object-oriented programming skills (Java, Python, or Node.js).
  • Hands-on experience with AWS services and infrastructure-as-code tools like Terraform; proficiency with Kubernetes and Amazon EKS; and understanding of CI/CD pipelines and automated testing.

Requirements:

  • Design, develop, and maintain robust backend and frontend services for Client Services and Shared Services, including private dining, client profile and preferences, itinerary management, and client communications.
  • Implement AWS-based serverless services including Lambda, Step Functions, SQS, SNS, and DynamoDB.
  • Utilize Kubernetes and Amazon EKS to support containerized deployments within a cloud-agnostic environment.
  • Collaborate with DevOps to improve CI/CD pipelines, observability, and deployment processes.

Job description

Job Profile:

Vista Tech plays a vital role in the Vista group operations by delivering and accelerating comprehensive technology solutions across all brands. Vista’s end-to-end and click-to-flight solutions offer the industry's only comprehensive flight booking platform, seamlessly integrating global operations, and leveraging AI and machine learning to optimize pricing and fleet movement.  

 

We are looking for a Senior Software Engineer to actively contribute to the design, development, and optimization of client services-related backend and frontend systems. This role requires hands-on technical skills, a cloud-agnostic mindset, and experience with containerized and serverless architectures. Familiarity with Kubernetes and Amazon EKS is essential for our scalable and reliable infrastructure approach.

Your Responsibilities:
  • Design, develop, and maintain robust backend and frontend services for Client Services and Shared Services including private dining, client profile and preferences, itinerary management, communication sent to clients, companies and people data to support such services.
  • Contribute to architectural discussions, advocating for scalable and maintainable solutions.
  • Implement AWS-based serverless services including Lambda, Step Functions, SQS, SNS, and DynamoDB.
  • Utilize Kubernetes and EKS to support containerized deployments within a cloud-agnostic environment.
  • Collaborate with DevOps to improve CI/CD pipelines, observability, and deployment processes.
  • Participate in code reviews, testing strategies, and engineering standards enforcement.
  • Troubleshoot production issues and contribute to continuous improvement practices.
  • Support test automation and ensure seamless integration with delivery pipelines.
Required Skills, Qualifications, and Experience:
  • 5+ years of experience in software engineering.
  • Bachelor’s degree in computer science, computer and electrical engineering, or equivalent technical experience (prefer graduate degree).
  • Back-end and Fron-end software development experience within agile teams.
  • Professional experience with GraphQL and React.
  • Professional experience with object-oriented programming languages.
  • Cloud-based applications, serverless solutions development experience.
  • Strong experience in backend development using Java, Python, or Node.js.
  • Hands-on expertise with AWS services and infrastructure-as-code tools like Terraform.
  • Proficiency with Kubernetes and Amazon EKS for container orchestration.
  • Understanding of CI/CD pipelines, Git-based workflows, and automated testing practices.
  • Ability to work independently and collaboratively in Agile environments.
  • Experience in financial systems is a strong advantage.
  • Good communication skills both written and verbal.
  • Analytical and problem-solving skills with an ability to identify key issues, structure analysis and synthesize data, and provide recommendations effectively.

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