Tanish Gupta

Engineering Manager

Bengaluru, Karnataka, India10 yrs 4 mos experience

AI EnabledHighly Stable

Key Highlights

Led high-impact projects in Fintech.
Expert in backend development and cloud architecture.
Recognized for problem-solving and technical prowess.

Stackforce AI infers this person is a Fintech expert with a strong focus on backend development and cloud architecture.

Contact

tanishgupta170@gmail.com LinkedIn

Skills

Core Skills

Backend DevelopmentCloud ArchitectureBig DataCloud Computing

Other Skills

AI InitiativesAWSAlgorithmsAnacondaArtificial Intelligence (AI)CSSCloud IntegrationCloud ServicesData MiningData StructuresDatabasesDistributed SystemsEnglishGCPGit

About

Tech visionary with 11+ years of impactful coding, design, and project leadership. Currently shaping the future of financial transactions at Razorpay, where I'm engineering an evolution in payment card flows for unparalleled scalability and uncompromising security. Orchestrated an impressive performance leap from 400-5000 tps through the strategic adoption of microservices architecture, driven by Golang, Kafka, AWS, Kubernetes, and more.As an Engineering Lead Backend at Zeta Suite (Directi Group Company), I honed origination platforms with architectural finesse, mentoring, and pioneering Workflow automation. Proficient in customizable banking workflows and multi-tenant data segregation.At Qubole Software India, I fueled cloud transformation by integrating Spark on Google Cloud, shaping Spark's core, and harnessing Python, R package management, and cloud integration mastery.🔑 Honored with Shining Star and Ultimate Team Awards at Zeta for delivering excellence, mentorship, and cross-team collaboration. Recognized at Razorpay for astute problem-solving and technical prowess. ACM-ICPC Regionals participant and top 100 globally in CodeChef.Passionate about backend development, cloud innovation, SAAS solutions, and the power of Big Data. Proficient in C, C++, Golang, and Java.Connect with me for insightful discussions on leading software engineering, cloud architecture, and driving tech innovation!#LeadSoftwareEngineer #PaymentSystems #CloudInnovation #BackendDevelopment #TechEnthusiast #BigData

Experience

Razorpay

2 roles

Engineering Manager

Promoted

Nov 2023 – Nov 2025 · 2 yrs

Leading, mentoring, code and tech spec reviews, and managed cross-domain team of 15+ engineers in migrating 40+ card flows, increasing re-arch traffic from 5% to 99%, enhancing developer experience, and improving MTTD and MTTR of services, fostering a collaborative and high-performance work environment.
Launched 2 most biggest key projects of high-impact launches - Industry-First Push Provisioning for Enhanced Card Tokenization, India’s First Biometric Authentication Product Launches.
Did various reliability improvements : Reduced P0/P1 incidents by over 50%+ YOY, Improved DEV SLA
operational adherence from ~40 to 100%, Availability improvement from 99.9% to 99.99%
Owned security and compliance programs, successfully managing major audits (PCI DSS, PCI SSF, DPSC, CSF, RBI Tokenization Audit).
Prioritizing various AI initiatives like Shoreline notebooks, SOP automation, predictive alerting AI agents, github copilot and cursor, MCP AI model-based anomaly detection.
Managing POD report card for Sprint Adherence using JIRA with an agile philosophy, focusing on quality, availability, latency, dev productivity, deployment, production metrics, support metrics, cost, and alerts.

GolangKafkaAWSKubernetesMicroservices ArchitectureAI Initiatives+3

Engineering Lead

Apr 2022 – Oct 2023 · 1 yr 6 mos

Rearchitecting, Scaling, and Optimizing payment card flows.
Successfully built and mentored a high-performing development team by creating highly maintainable, testable, secure & scalable architectures in payment card flows, fostering a culture of learning and collaboration.
Scaling payment cards to 10k TPS by migrating from monolith to microservices architecture,
partitioning DB’S, read and write migration.
Designed a new micro-service to power the deployment of payments card, BIN, and Vault service management for various payment flows.
Set up a two-step canary cluster process, contributed to alerts, established processes for production cadence, and proactively addressed OpEx tasks.
Setting up clear objectives, like OKRs to align the team around shared goals.

Microservices ArchitectureJavaScalingPayment SystemsBackend DevelopmentCloud Architecture

Zeta suite

2 roles

Lead Software Engineer

Oct 2021 – Apr 2022 · 6 mos

Senior Software Engineer

Jun 2019 – Sep 2021 · 2 yrs 3 mos

Worked on democratizing banking space as a part of Zeta org. Providing next-generation Banking as a service (BAAS) platform to Fintechs which will offer full stack solutions to banking products (Account and payment based products) , fintech products and neobanks on the top of various cloud services. Teck stack - Working on microservices architecture, java, kafka, aws services, Kubernetes, camunda Workflow, grafana, zabbix.

Microservices ArchitectureJavaKafkaAWSKubernetesBackend Development+1

Qubole

3 roles

Member Of Technical Staff, Spark (MTS - II)

Jul 2018 – Jun 2019 · 11 mos · Bengaluru Area, India

Created Spark Job server to handle multiple spark commands.
https://docs.qubole.com/en/latest/admin-guide/engine-admin/spark-admin/spark-job-server.html
Added account and per user level credentials at control plane and data plane for AWS, azure and gcp cloud.
Worked on core of Spark and Zeppelin.
Integration of pyarrow support, hs2 server in spark, thrift metastore support, big query connector in spark
Implemented ORC based predicate pushdown in Dynamic filtering, a SQL join optimization in Spark.
Tech stack - Ruby on Rails, Java, python, Spark, dockers, anaconda distribution, mysql. Worked on gems like delayed_job, resque, rspec-rails, rspec-mocks, factory_girls_rails, aws-sdk. Worked on AWS services (IAM Role, S3, ec2 instances), azure and GCP cloud.

SparkPythonAWSGCPCloud IntegrationBig Data+1

Member Of Technical Staff, Notebooks (MTS - II)

Promoted

Jan 2017 – Jun 2018 · 1 yr 5 mos · Bengaluru Area, India

Added Package management of Python and R using anaconda distribution and CRAN in spark cluster using notebooks.
Added support of virtual folders with managed permissions and migrated all cloud based folder ( s3 , azure, gcp) structure to Qubole DB. It helped in better organization of notebooks.
Added notebook dashboard API’s to publish, refresh, search and schedule dashboards.
Github and Gitlab integration with notebooks.
Wrote pyapi integrations tests and Rspec unit tests with 90% test coverage in notebooks.

PythonRAnacondaCloud ServicesBig DataCloud Computing

Member Of Technical Staff, Middleware (MTS - I)

Jul 2015 – Dec 2016 · 1 yr 5 mos · Bengaluru Area, India

Worked on cloud based Big Data as a service (BDaaS) to manage various components of Qubole's SAAS middleware Platform. Worked across Qubole's stack like managing background jobs, dashboards, notebooks, users, schedulers, groups, role and folders. Few other features developed are :
Integration of server side encryption (SSE-S3) using AES-256 to encrypt result of ETL Jobs running in Qubole platform.
Implemented Object level permissions for Clusters, Notebooks and Dashboards.
Implemented cross account IAM role and Overriding a cross account IAM role for AWS cloud.
Supported Apache Distcp which is an open-source tool to copy large amount of data from cloud storage to HDFS and vice versa.
Created python sdk for different end points like creation of new account, managing clusters of aws, azure and oracle (libraryused argparse).

PythonAWSCloud ServicesBig DataCloud Computing