This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer - Backend based in India.
This is a high-impact backend engineering role focused on building scalable, intelligent, and data-driven systems that power large-scale financial workflow automation. You will work at the intersection of backend engineering, distributed systems, and applied data intelligence, helping design services that process high-volume financial and transactional data with speed and precision. The environment is fast-paced and product-driven, requiring strong ownership and the ability to solve complex engineering and data challenges end-to-end. You will contribute to the development of microservices and cloud-native platforms that support mission-critical fintech workflows. The role also involves working closely with cross-functional teams to improve system reliability, security, and performance at scale. This is an opportunity to build systems that directly impact financial access and decision-making for millions of users.
Accountabilities
- Design, build, and maintain scalable backend microservices using Python, Java, or Go to support high-volume fintech workflows.
- Develop and optimize distributed systems and cloud-based services that ensure reliability, performance, and security at scale.
- Build and maintain data pipelines and backend systems that process large-scale financial and transactional datasets.
- Collaborate with cross-functional teams to define architecture, improve system design, and implement best engineering practices.
- Contribute to automation, testing, and CI/CD processes to ensure high-quality and stable deployments.
- Troubleshoot production issues, perform root cause analysis, and implement long-term fixes to improve system resilience.
- Participate in design discussions and provide technical leadership for backend architecture and system evolution.
Requirements
- 3 to 5 years of experience in backend engineering, building scalable distributed systems and production-grade applications.
- Strong proficiency in Java and/or Python, with experience in frameworks such as Spring or Flask.
- Solid understanding of microservices architecture, containerization, and cloud platforms such as AWS.
- Experience with relational databases such as PostgreSQL or MySQL, including schema design and query optimization.
- Familiarity with CI/CD pipelines, automated testing, and agile development practices.
- Strong problem-solving skills with the ability to design and deliver end-to-end backend solutions.
- Experience working on product-based systems with ownership of features or services from design to production.
- Bachelor's degree in Computer Science or a related field.
- Strong communication skills and ability to collaborate effectively in cross-functional teams.
Benefits
- Remote-first work environment with flexibility and autonomy.
- Competitive compensation aligned with backend engineering roles.
- Health insurance coverage and wellness support programs.
- Opportunity to work on large-scale, high-impact fintech systems.
- Learning and development support, including technical upskilling opportunities.
- Exposure to modern cloud-native architectures, distributed systems, and AI-driven platforms.
- Inclusive and collaborative culture driven by ownership, curiosity, and continuous improvement.
How Jobgether Works
We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
