Arun Chaitanya Miriappalli
Director of Engineering / Head of Engineering — Fintech & SaaS (AI-enabled Platforms)
Bengaluru, India · arunmchaitanya@outlook.com ·LinkedIn
Summary
Engineering leader with 14+ years of experience building and scaling fintech and SaaS platforms in fast-growing startup environments. Track record of leading global engineering teams (45-80+), shipping payment and financial products, and aligning engineering execution with business outcomes in Series A-C companies. Focused on AI-enabled automation, data-driven decision systems, cloud-native architectures, and cost-efficient execution — including cutting engineering burn by 30% and modernizing platforms under regulatory constraints.
Core Expertise
- Fintech & Payments Platforms
- AI-enabled Systems & Workflow Automation
- SaaS Architecture & Platform Engineering
- Cloud-Native Systems (AWS)
- Data Platforms & Real-Time Processing
- Engineering Leadership & Hiring
- Cost Optimization & Scalability
- Startup Execution (0→1, 1→10)
- Compliance-Aware System Design
Experience
Head of Engineering
Jul 2021 – PresentBukuWarung · Hyderabad, India
- Led engineering for all payments and financial products processing ~4M transactions monthly, supporting 100K+ daily active SMB merchants across Indonesia, with Philippines expansion underway.
- Partnered with founders and leadership to define multi-year engineering strategy aligned with growth, cost efficiency, and product-market fit in a Series A fintech environment.
- Architected cloud-native, compliance-first platforms (BI, OJK, ISO), improving uptime from 96% to 99.9% and increasing transaction success rates from 98% to 99.2% while working with external PSPs.
- Introduced data-driven and AI-assisted automation across engineering, operations, and customer support, reducing overall engineering burn by 30% and infrastructure + subscription costs by 65%.
- Built and scaled cross-functional teams of 45+ engineers (Android, Web, Data, DevOps, QA), establishing hiring standards, engineering guidelines, and execution metrics.
- Accelerated product delivery by reducing release cycles from weekly to daily and cutting time-to-market for new products from 8 months to under 2 months.
- Improved operational efficiency through AI-enabled systems: automated sales route planning, reduced device operations team from 6 to 2 through faster incident detection, and cut customer support resolution time from ~6 hours to under 2 minutes using chatbot-driven workflows.
Vice President of Engineering
May 2018 – Jun 2021Works Applications · Singapore
- Led an 80-member global engineering organization with 8 direct reports across Tokyo, Shanghai, Chennai, and Singapore, supporting large-scale SaaS platforms.
- Drove modernization of core platforms using cloud-native and data-centric architectures, enabling scalability, performance improvements, and operational automation.
- Delivered a 100x performance improvement in month-end batch and financial processing through architectural redesign and data pipeline optimization.
- Reduced AWS infrastructure costs through capacity planning, system redesign, and automation while improving platform reliability.
- Oversaw adoption of modern technology stacks including AWS Aurora, microservices, Angular, and Spring, balancing speed with platform stability.
- Established engineering standards, architectural review processes, and cross-region collaboration models for distributed teams.
Engineering Manager
Mar 2016 – Apr 2018Works Applications · Singapore
- Owned platform engineering and developer productivity initiatives, enabling faster feature delivery across multiple SaaS product lines.
- Built internal frameworks and abstractions over open-source technologies to standardize development and improve engineering efficiency.
- Served as an architecture reviewer across product lines, contributing to decisions on microservices, Kubernetes, ELB, batch systems, and data platforms.
Software Engineer
2012 – 2016Works Applications / Microsoft
- Built data-intensive backend systems and platform libraries using Cassandra, Elasticsearch, Kafka, Redis, and AWS.
- Improved performance and scalability of customer-facing systems through caching, search optimization, and backend redesign.
Education
Bachelor of Technology (B.Tech), Computer Science and Engineering
2008 – 2012Indian Institute of Technology (IIT), Hyderabad
Graduated with Honours · Patent Holder
Skills
AI, Data & Platform
- AI-assisted automation for engineering, operations & support
- Data-driven systems for risk assessment and operational insights
- Large-scale data platforms: Kafka, Cassandra, Elasticsearch, EMR
- Real-time and batch data processing
- Cloud-native architectures on AWS (Aurora, Kubernetes, Microservices)
Interests
Music, Movies, Table Tennis, Travelling, Cooking