Software Engineer, Finance

Job Profile

We are hiring a Software Engineer to contribute to the evolution of event-driven financial applications and backend services. This position includes hands-on development, collaboration on architectural improvements, and responsibility for deploying services using Kubernetes and EKS. A cloud-agnostic mindset and familiarity with AWS serverless tools are critical to success.

Your Responsibilities

• Develop and maintain backend components supporting financial workflows and system integrations.
• Leverage AWS services such as Lambda, Step Functions, and DynamoDB to implement scalable solutions.
• Deploy containerized applications using Kubernetes and EKS.
• Collaborate with QA and DevOps to ensure CI/CD automation, testing coverage, and deployment reliability.
• Participate in Agile ceremonies and cross-functional technical discussions.
• Resolve production issues and contribute to ongoing system monitoring and observability improvements.
• Support infrastructure-as-code practices using Terraform or similar tools.
• Promote maintainable code and participate in peer code reviews.
  
  

Required Skills, Qualifications, And Experience

• 4+ years of experience in software engineering.
• Bachelor’s degree in computer science, computer and electrical engineering, or equivalent technical experience.
• Back-end software development experience within agile teams.
• 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.
• Analytical and problem-solving skills with an ability to identify key issues, structure analysis and synthesize data, and provide recommendations effectively.