Description :

Our client is an AI-driven SaaS company building intelligent automation products for corporate finance teams. Their platform automates core back-office workflows across Vendor Management, Accounts Payable, Accounts Receivable, and Financial Planning using artificial intelligence, machine learning, and natural language processing. The solutions are cloud-native, enterprise-grade, and designed to deliver real-time visibility into cash performance while reducing operational friction.

The Opportunity :

You will play a pivotal role in building and scaling an AI/ML-enabled SaaS platform that addresses complex problems in the FinTech domain. This is a hands-on technical leadership position where you will own key platform components and contribute directly to product architecture, system design, and delivery excellence.

Key Responsibilities :

- Own the end-to-end design and development of core product platform areas hosted on AWS.

- Collaborate with cross-functional teams across geographies to deliver roadmap-driven outcomes.

- Partner closely with business and product teams to deliver measurable client value.

- Champion engineering excellence, best practices, and a strong technology-first culture.

- Contribute to architectural decisions involving scalability, security, performance, and reliability.

Core Requirements :

- Strong experience working with multi-tenant SaaS platforms.

- Hands-on expertise with cloud-native development on AWS.

- Experience with CI/CD pipelines, monitoring, and production-grade deployments.

- Solid exposure to Kubernetes, containers, and service mesh technologies such as Istio.

- Experience with workflow engines and enterprise integrations (SSO, email, etc.).

- Strong system design and data modeling skills.

- Working knowledge of RDBMS and distributed data stores.

- 10+ years of hands-on experience building and shipping complex software products.

- Comfortable operating in startup environments with ambiguity, resource constraints, and evolving priorities.

- Strong alignment with Agile development practices and engineering best practices.

- Bachelors or Masters degree in Computer Science or a related engineering discipline.

Nice to Have :

- Experience with AWS services such as Step Functions, RDS, Cassandra, Kinesis, and ELK.

- Exposure to graph databases and Big Data platforms.

- Proficiency in Node.js or similar backend programming languages.

- Prior experience building enterprise-grade FinTech or workflow-driven platforms.