Head of Engineering - Marketplace / Fintech / Remote
Fynder Talent
5 - 10 years
Kakinada
Posted: 01/01/2026
Job Description
Location: Remote (GMT+8)
Type: Full time - Perm
Pay Structure: Base + Discretionary bonus + Esops
Base Range: 70 - 100 LPA
About the Opportunity
We are working with a high-growth FinTech business, publicly listed on the NASDAQ, that is scaling its engineering capabilities across Asia. The right person will be the first hire in India that's required to build a remote high functioning engineering team.
You will play a player coach role, which means the first 6 months your responsibilities will include
1- 6 months: 30% Building an engineering team, 30% system design & architecture, 30% Production grade coding.
6-12months: 50% Management, 30% System design and Architecture 20% optimizing best practices, code reviews, PR and little coding.
Key Responsibilities
- Build and scale engineering teams, leading recruitment, onboarding, and mentorship to ensure long-term success and retention.
- Own and oversee system architecture and design, ensuring scalable and secure solutions for consumer-facing platforms.
- Establish and manage the engineering development process, driving modern practices in coding, testing, and deployment.
- Collaborate with cross-functional teams (Product, Design, and Business) to deliver impactful solutions.
- Drive cloud-native development.
- Ensure platform reliability, high performance, and scalability to meet rapid growth needs.
Preferred Experience
- 8+ years in software engineering, with at least 2+ years in an engineering management role (preferably remote teams)
- Proven startup experience: ability to thrive in 01 and high-growth environments.
- Hands-on experience in recruiting engineers, building onboarding programs, and creating successful teams.
- Background in marketplace businesses or insurance technology is highly desirable.
- Expertise in distributed systems, microservices, and modern cloud architectures.
Tech Stack
- Languages:, NodeJS, Java, Python
- Infrastructure: Kafka, Kubernetes, CI/CD pipelines, AWS
- Cloud-native architectures and distributed systems
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