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Backend Engineer - Payment/Fintech Domain

Vintronics Consulting
8 - 12 Years
Multiple Locations

Posted on: 05/05/2026

Job Description

Description :

Key Responsibilities :


- Collaborate closely with clients and internal teams to understand system requirements and design effective solutions.

- Deliver high-quality software using modern Agile engineering practices such as pair programming, TDD, and CI/CD.

- Automate infrastructure provisioning and deployment processes to ensure reliability and scalability.

- Take ownership of production systems you build and support them in live environments (You build it, you run it).

- Champion Agile methodologies within client organizations and promote best practices.

- Mentor and support client team members to strengthen their technical capabilities.

- Contribute to improving both team performance and client delivery outcomes.

Required Skills & Experience :


- Extensive experience designing, building, maintaining, and operating enterprise-scale distributed systems.

- Deep expertise in at least one primary programming language and its ecosystem; proficiency in additional languages is highly desirable.

- Strong enthusiasm for technology with flexibility to work across multiple languages and technology stacks.

- Hands-on experience with Test-Driven Development (TDD) and automated testing frameworks.

- Solid understanding of Agile principles, with practical knowledge of how to apply different Agile approaches effectively across varying contexts.

- Excellent written and verbal communication skills, with the ability to collaborate effectively in remote, globally distributed teams.

- Strong interpersonal skills with a collaborative mindset and willingness to share knowledge. Ability to work toward shared goals without rigidly adhering to a single approach.

Nice to Have :


- Practical experience building distributed systems, including microservices architectures and RESTful APIs.

- Experience developing and operating large-scale production systems in cloud-native or containerized environments (e.g., AWS, GCP, or Azure).


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