Priyanshu Bajpai

Director of Engineering

India8 yrs 10 mos experience

Highly Stable

Key Highlights

Led engineering teams in high-impact projects.
Expert in designing scalable distributed systems.
Strong advocate for data-driven product development.

Stackforce AI infers this person is a Fintech and E-commerce technology leader with expertise in distributed systems and agile methodologies.

Contact

Skills

Core Skills

Agile ScrumSoftware Development Life Cycle (sdlc)Distributed Systems

Other Skills

SQLStakeholder ManagementProject ManagementPeople ManagementOperations ManagementSystem DesignSystems DesignNoSQLJavaScriptJavaAWSMicroservicesCompetitive CodingAlgorithmsParallel Computing

About

Technology leader with professional experience across E-commerce, Finance, Travel and Networking Infra domain. 5+ years of experience managing engineering teams, hiring, coaching and growing engineers across all levels. Priyanshu has designed and built large-scale complex software systems while working in fast-paced environment. He has excellent architecture skill set and demonstrates ability to design and implement performant, reliable and secure distributed systems through highly cohesive and loosely coupled micro-services. Priyanshu is a strong advocate of data driven product development, business process modeling and domain driven design. He works with stakeholders to gather business requirements, defines technical specifications and takes end-to-end ownership of driving products and features to production with focus on performance, operational excellence, clean code, testing and documentation. He leverages his leadership skills to make a business impact while following software development best practices and agile and scrum development methodologies.

Experience

Google

Software Engineering Manager

Sep 2025 – Present · 6 mos · On-site

Network and Infrastructure

Agoda

Engineering Manager

Aug 2023 – Sep 2025 · 2 yrs 1 mo · Bangkok City, Thailand · Hybrid

Led the Tech for Marketing and Campaigning platform a.k.a Agoda Growth Programs for Accommodation Partners. Managing 3 cross functional scrum teams to build infrastructure and products at scale. Driving strategic vision for the team and product while fostering core Agodan values.

Amazon

3 roles

Software Development Manager, FinTech

Promoted

Apr 2020 – Jun 2023 · 3 yrs 2 mos

Led a scrum of 8 engineers as an Engineering Manager for Vendor Payment team inside Finance Automation organization. Owned payment workflows, responsible for automation of business processes for accurate and timely payments to Amazon-retail vendors worldwide. In 2022, the software owned by my team processed payments worth billions of dollars.

Agile scrumSoftware Development Life Cycle (SDLC)

Software Developer, FinTech

Jul 2019 – Mar 2020 · 8 mos

Developed resilient, robust and scalable financial systems that involve billions of dollars of transactions. Hence, simplifying vendor payment process. Replaced manually cumbersome and error prone processes with softwares, while maintaining accuracy and audit-ability. Identified and corrected existing loopholes in the system. Gained customer trust by improving vendor experience.

Distributed SystemsSQL

Software Developer, Customer Engagement Technologies

Jan 2017 – Jun 2019 · 2 yrs 5 mos

Revolutionised the way Amazon resolves post ordering customers issues, like damaged or defective item, late delivery etc. Simplified the platform for customer service agents [CSAs] to engage with Amazon's Retail and Digital customers. Worked closely with the Business and Product teams and re-created end to end issue based workflows for CSAs to interact effectively with customers and provide them the most optimal resolution/s. Reduced the average case handling time [AHT] for CSAs by 30%. Helped in scaling the new business programs like Amazon fresh and new product launches like Fire TV stick, by configuring new custom optimised workflows specific to these programs and products
Focussed on ways to reduce concessions issuance to Amazon customers, while maintaining impeccable customer experience. Built a system to identify abusive customers and separate them from genuine customers. Developed a rule engine, running combination of static and machine learning based rules to flag customers in real time. Made use of various attributes likes customer order history, purchase pattern etc. for determination. This resulted in concessions saving of $15MM YoY