Experience : 12+ years | Full-time

About the Role :

Finkraft is looking for an Engineering Manager to lead a team of engineers building production-grade, money-movement and compliance systems at scale. This is a hands-on leadership role: you will set technical direction, review and contribute to architecture and code, and grow a team of engineers, while owning delivery, reliability, and quality for your area. You should be equally comfortable in a design review, a production incident, and a 1:1 about someone's career growth.

What You'll Do :

- Lead, mentor, and grow a team of backend and full-stack engineers; own hiring, performance, and career development for your team.

- Set and enforce technical direction and architecture decisions across services, in partnership with senior engineers and other engineering managers.

- Stay hands-on review designs and code, debug production issues, and step into implementation when needed.

- Own end-to-end delivery for your team's roadmap: scoping, sequencing, risk management, and shipping to production.

- Drive engineering practices CI/CD, testing, code review, observability, and secure software development across the team.

- Partner with product, compliance, and other engineering teams on integration architecture for payments, e-invoicing, and reconciliation systems.

- Own capacity planning and cloud cost accountability for your team's services.

- Champion AI-native engineering practices to increase team velocity and output quality.

Requirements :

Languages and Runtimes :

- Go and / or Python at production scale.

- Comfort moving between typed and dynamic languages.

- JavaScript / TypeScript familiarity for adjacent work.

Cloud and Infrastructure :

- AWS in production ECS / Fargate, Aurora PostgreSQL, SQS, Lambda, KMS, IAM, CloudWatch, S3.

- Infrastructure-as-code (Terraform or CloudFormation).

- Comfort with cloud cost modelling and capacity planning.

Data and Storage :

- PostgreSQL at depth schema design, query performance, transactions.

- Redis for caching and queues.

- Event stores, message queues, and the design choices between them.

- Familiarity with MongoDB or other NoSQL stores is useful.

Architecture :

- Event-driven systems, API-first design, integration architecture, distributed systems.

- Microservices and modular monoliths and the judgement to pick the right one.

- Idempotency, retries, audit trails, eventual consistency.

Domain Technology (Preferred) :

- Payments systems, virtual card / VAN orchestration, settlement and reconciliation.

- E-invoicing (Peppol, UBL), ERP or accounting integrations.

- Identity and KYC flows, tax-tech, or comparable money-movement and compliance systems.

Engineering Practices :

- CI / CD, DevSecOps, automated testing, code review.

- Observability and monitoring, secret management, dependency and container scanning.

- Track record of building these into a team from day one not bolting them on later.

AI-Native Engineering :

- Practical experience using tools such as Claude Code, Cursor, Copilot, Sonar, Semgrep, Playwright, and modern CI/CD workflows to accelerate development, testing, documentation, code review, and operations.

- A track record of creating engineering leverage for a team, not simply writing more code yourself.

Leadership Experience :

- 12+ years of overall engineering experience, including prior experience managing or leading engineering teams.

- Demonstrated ability to balance hands-on technical depth with people management and delivery ownership.

- Strong communication skills for working across engineering, product, compliance, and business stakeholders.

Location : This role is based in Bangalore, India.