We are looking for a Senior Software Engineer to actively contribute to the design, development, and optimization of finance-related backend 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.

• Design, develop, and maintain robust backend services for financial operations including invoicing, accounts payable, and compliance automation.
• 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.

• 4+ 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 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.
• 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.