Satish Mishra

CTO

India16 yrs 4 mos experience

Key Highlights

18+ years of software industry experience.
Expertise in Fintech, B2B, and B2C domains.
Proven track record in building high-performing engineering teams.

Stackforce AI infers this person is a seasoned engineering leader in Fintech and SaaS with a focus on large-scale systems.

Contact

mishrsatish@gmail.com LinkedIn

Skills

Core Skills

People ManagementDirector LevelSoftware DevelopmentLarge Scale SystemsCloud Computing

Other Skills

GolangJavaNode.jsFlutterApache MesosPythonBudgetingAmazon Web Services (AWS)Organizational LeadershipStrategic CollaborationStartupsDecentralizationInfrastructureStrategic HiringC++

About

Engineering leader with 18+ years of experience in the software industry. My passion lies in the ideation, building and maintenance of innovative products from the ground up. My expertise includes domains such as Fintech, B2C and B2B both, SAAS, AI, large scale distributed systems. I take pride in delivering world class Applications and products, establishing high-performing engineering teams, nurturing exceptional tech talent, both IC and managers. Have also successfully optimized costs, engineering processes for efficient collaborations and releases.

Experience

16 yrs 4 mos

Total Experience

3 yrs

Average Tenure

1 yr 4 mos

Current Experience

Pi42

Chief Technology Officer

Jan 2025 – Present · 1 yr 4 mos

Director level

Coindcx

Vice President of Engineering

Jan 2022 – Jan 2024 · 2 yrs · India

CoinDCX is India’s largest digital currency exchange. Worked with the founder and CXOs to launch OKTO app (100K installs) Managed 100+ engineers in multiple verticals. App uses the most innovative technology like MPC, fraud detection, golang, java, node.js, flutter.

People ManagementDirector level

Uber

Head of Engineering - Core Infrastructure and platform ( India)

Jan 2020 – Jan 2022 · 2 yrs · Bengaluru, Karnataka, India

Bootstrapped Uber India's Core Infrastructure org (Compute, Foundation, cloud).
Executed larges server migration of 160k+ server from India to new compute stack.
Lead teams for uber's all types of workloads scheduling, allocation, execution, monitoring and observeblity in on-prem data-center as well as public clouds stacks.
Tools and Tech : Golang, Apache Mesos, Open source infra services, Peloton, M3 database, python