Scaler Pod - The Software Engineer's Podcast Scaler Academy

In this episode of Scaler Pod, we dive into the world of data-driven innovation with Ram Bhavaraju, VP of Software and Web Technologies at Ather Energy. Ram sheds light on the intricate process of leveraging data to refine electric scooters, crafting personalised metrics that enhance the Ather experience.

Arnav and Ram discuss how real-time processing is used in Ather’s interface, which helps provide information about the EV and helps an Ather rider get a smooth riding experience. From Managed Services to Kafka and Cloud Storage, he talks about the array of technologies working behind the scenes to elevate Ather's performance.This podcast will be very insightful for anyone enthusiastic about Data Science, Cloud Computing, IoT and much more.

Here are the detailed list of topics they all had a discussion about in this new Scaler Pod podcast:-

00:00 - Trailer
00:40 - Introduction
01:58 - Work week of a VP Software & Web Tech at Ather Energy
07:20 - How has been the tech journey so far?
13:45 - How do you see your career transitions?
19:58 - What is the Landscape of Software at Ather?
24:13 - What makes the Software of Ather not a friction to it's customers?
31:59 - How did you crack the navigation through the software?
40:19 - How data from the EV devices is helping Ather?
44:45 - How the data architecture looks like?
47:57 - What does it cost Ather to run the whole setup?
55:06 - How to Ather address the data security concerns?
57:17 - How does the mobile app to device ecosystem works?
01:02:20 - How do your ensure that the software update deliver customer satisfaction?
01:07:39 - How do control systems work in Ather Vehicles?
01:10:01 - What is the secruity aspect from the hacking point of view?
01:13:40 - How does the user relation and community works at Ather?
01:21:38 - How the future of EV scooters look like?
01:30:22 - What is the scope of AI in improving these systems?

In this episode of ScalerPod, Ramkumar Venkatesan, the CTO of @Cashfree Payments.

From his days at Oracle and Yahoo to revolutionizing transactions at Cashfree, Ramkumar shares insights on auto-scaling, managing Kubernetes clusters, resource handling using Docker, and tackling latency issues in the Cashfree app. Discover how Cashfree handles billions of transactions flawlessly while exploring their range of products and the tech behind this fintech app. Get valuable advice for young engineers navigating today's tech landscape.

To know more about the Scaler. Check out our free masterclasses by industry-leading experts here: https://www.scaler.com/events?utm_source=Youtube&utm_medium=osocial&utm_campaign=brand_scaler_events_osocial_youtube_ramkumar-venkatesan-scalerpod-episode23&utm_content=YTDescription

Here are the detailed list of topics they all had a discussion about in this new Scaler Pod podcast:-
00:00 - Trailer
00:57 - Introduction
01:35 - Work week of a CTO of Cashfree
05:53 - How often do you review the system architecture design?
09:00 - How has been the tech journey so far?
16:37 - What all does Cashfree do?
20:31 - What all payment gateways are doing?
28:34 - What are the challenges with identity verfication?
35:44 - How is the testing landscape of Cashfree look like?
43:50 - How do we get to the actual production level testing?
48:38 - What happens at the War Room in Cashfree?
52:10 - What are the extra challenges in developing things?
01:03:49 - What will be your general advice to the people who are the learning phase?
01:12:10 - What are some of the things that a software engineer should do?
01:21:05 - How AI is affecting the Fintech?

In this episode of Scaler Pod, we have Joydeep Sen Sarma, Co-founder & CEO of ClearFeed.

From achieving an exceptional all-India rank of 18 in the rigorous IIT-JEE exams to reshaping the tech landscape with his pioneering work on consistent database systems, Joydeep's journey showcases his strong determination. As a Data Infrastructure Lead at Facebook, he collaborated with colleague Ashish Thusoo to develop the groundbreaking Hive data warehouse software which is now also called Apache Hive. Their joint success propelled them to co-found Qubole, a state-of-the-art platform in data analytics.

Later Joydeep started ClearFeed in the year 2021.ClearFeed is a software program that helps businesses manage customer support requests on Slack. It uses AI to track inquiries, identify urgent issues, and measure how the queries are getting resolved internally. ClearFeed helps businesses provide better customer support by streamlining communication and offering valuable data on Slack.

In this episode of Scaler Pod, Arnav Gupta, Anshuman Singh and ClearFeed CoFounderJoydeep Sen Sharma discuss their Facebook days where Joydeep talks about his #createimpact journey when Facebook was relatively immature and was one of the first engineers on the data team. Arnav also discusses about how database sharding works for managing database infrastructure. Joydeep also discusses about working with major taxi companies like Grab, Lyft, and Ola as customers for Qubole.

Here are the detailed list of topics they all had a discussion about in this new Scaler Pod podcast:-
00:00 - Trailer
02:00 - Introduction
02:33 - Joydeep's Journey
07:42 - Facebook Days of Anshuman Singh
09:35 - Story behind how Facebook Messenger was Built?
21:45 - How Qubole was started?
24:42 - Cloud computing and Big Data weren't taken seriously initially.
29:00 - Data Analytics & Cloud Computing: What's the correlation?
31:35 - What went wrong with Qubole?
34:09 - Challenges working with Open Source softwares.
39:24 - How large tech companies are created?
45:46 - What worked for Facebook?
46:56 - How Qubole team was built?
01:02:06 - Should you study abroad (USA) for tech education?
01:13:30 - Clearfeed's AI Integration & Working Principle
01:19:56 - Thoughts on AI Replacing Engineer's Work
01:31:22 - Thoughts on AI Replacing Jobs
01:34:23 - Need for Quality Engineers for the upcoming years in the tech industry
01:44:49 - Conclusion

In this episode of Scaler Pod, we have Jyotiswarup Pai Raiturkar, Chief Architect & CTO of Angel One  @angelone 

Jyotiswarup Pai Raiturkar has more than 20 years of experience building high-scale mission-critical systems. In his current role as Chief Architect and Chief Technical Officer at Angel One, his day-to-day job is to manage scale, do Root Cause Analysis, craft new features with the product and engineering team, and much more.

In this insightful podcast, Jyotiswarup discusses the tech stack behind Angel One broking and what goes on behind the scenes in handling 20 Million + Users. He also discusses choices for the backend and frontend systems - including Golang, which fuel this robust platform's ability to handle multiple operations concurrently.

Timestamps

00:00 - Introduction
01:53 - How does the work week of Angel one CTO, looks like ?
03:42 - How's the Tech Journey so far ?
09:40 - Finance product from the lens of commerce
19:20 - What Tech goes behind Angel one?
44:44 - Talking more about Golang
51:34 - Experience of building a tech team
55:38 - What does the infrastructure model work in Angel one?
01:01:47 - What are the Playbooks that are used to handle failures?
01:08:01 - What do you look for in the right candidate?
01:23:25 - How the tech market looks now?

In this episode of Scaler Pod, we have Amit Sharma, CTO, Dream Sports &  @Dream11  .

With over a decade’s experience across tech giants like Netflix and Yahoo!, Amit is an expert in building complex large-scale resilient distributed systems. In his current role as the CTO at Dream Sports he is responsible for steering India’s largest scalable sports platform that supports peak concurrency of 11.52 M+ for a user base of 200 million+ and growing.



In this insightful podcast, he shares the unique challenges behind Dream11’s development, the company’s transition from monolith to 100+ micro-services, and the game-changing migration of the front-end app from Native to React Native, directly impacting productivity and business metrics. Amit also walks us through his early days at Netflix, where as a part of the core-engineering team, he witnessed the transition from DVD by mail to streaming. Amit also emphasises the importance of planning dedicated work days to make individual contributions while managing business responsibilities.

Timestamps

00:00 - Introduction
02:00 - Day in the life of Dream11 CTO
05:00 - Amit's tech journey and past lives
06:00 - Netflix, DVD renting and digital transformation
10:00 - Key to Netflix's culture, success and tech innovations
13:00 - Joining Dream11, Scaling up for IPLs
18:00 - What happens when millions of users open the app?
21:30 - Culture of building the team at Dream11
25:30 - Challenges of Infra scaling
35:00 - Moving to "just in time" team creation - concurrency challenges
43:00 - Mobile Engineering - Native to React Native migration
57:00 - Do Dream11 engineers need deep context of sports ?
01:00:00 - Multiple Dream Sports platforms coming up
01:03:00 - GenAI, Transformers and LLMs being used anytime soon?
01:06:00 - Using Data-Platform knowledge and experience in building Dream11
01:15:00 - Advice to new software engineers in the industry
01:17:00 How Dream11 hires engineers

In this episode of Scaler Pod, we have Shiva Chinnasamy, Vice President of Engineering at Rippling. He unravels his illustrious career and gains valuable insights from his experiences at major tech giants such as Amazon, Google, Target, and more.

Also, he explains about Rippling, a workplace management SaaS company and explains how their team is organised, the challenges they have while hiring and the importance of being adaptive in times when AI tools like ChatGPT and GitHub Copilot are gaining popularity.

Shiva takes us on a deep dive into his leadership roles in diverse domains like eCommerce, Retail, Search, and Performance Advertisements. He shares intriguing stories and pivotal moments that shaped his journey, providing a unique perspective on the challenges and triumphs he encountered along the way.

As the conversation unfolds, Shiva enlightens us about Rippling, a prominent workforce management SaaS company. He delves into the company's origins, shedding light on what intrigued him about the founder's vision and the pivotal reasons that led him to join Rippling. He also touches upon the B2B hurdles for engineers and also about their Billboard Advertisement campaign 'Engineers Run Rippling' that helped them get visibility and brand recognition.

Through his firsthand experiences, Shiva offers valuable insights into the tech culture and organizational structure at Rippling, highlighting the company's commitment to maintaining a high hiring bar and the diamond shape structure that they have internally. He explains why Rippling primarily seeks out principal or staff engineers, emphasizing the value of exceptional talent in driving innovation and maintaining industry leadership.

Furthermore, Shiva touches upon the ever-growing AI boom and its impact on the tech industry. He shares his perspectives on how individuals can prepare themselves for this transformative wave of technology, emphasizing the importance of adaptability and a growth mindset.

Also, check out other Scaler Pod Episodes: https://youtube.com/playlist?list=PLLhBy6YSIT0DjPC-a9j-Alz21GHOjzrVe

Timestamps:

00:00 Introduction

00:20 Day in His Life at Work

03:45 His Journey and Tech Career (Amazon, Google, Target and more)

08:30 Becoming Manager, Building team and analysing Maxima - Minima

13:30 His Experiences at Amazon and AWS

18:27 Setting up Ads for Amazon, Problem Statement and advice from Jeff Bezos

21:56 Moving back to India and joining Amazon India Team

26:01 Working at Target, Massive Spends and Scale

32:58 Being Technology Director at Tesco

34:26 His Attempt to do a Startup

35:56 His learnings from Google & leading engineering for Gpay

40:14 Why he joined Rippling and Rippling's Idea?

44:54 SaaS, HRIS Systems and Issues

47:54 Rillping Architecture, Product Offerings and Flow

52:39 Tackling Regulations, Payroll and Client Centricity

57:14 Aligning Engineers with Business Logic and Regulatory Complexations

01:01:26 Engineering Challenges at Rippling and Managing Scale

01:05:30 Optimising for Cost and Managing Bandwidth for Engineers

01:10:46 B2B Challenges for Engineers and How rippling deals with it

01:14:56 How to adapt as a Builder & Amozon's Research Case Study

01:20:00 Different Management Styles and Managers

01:24:59 Advise for Team Leaders

01:26:58 Tech Culture at Rippling, Org Complexity and growth opportunities

01:31:02 Onboarding/ Hiring at Rippling and Employee Cycle

01:34:14 Hiring Challenges, Staff Engineers and Effect of Rippling's Billboard Campaign

01:37:05 Being Adaptive and on AI Boom ( ChatGPT, GitHub Copilot)

01:41:55 Outro

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