---
title: "Pankaj Dwivedi - Staff Software Engineer in Pune | Tal"
description: "Meet Pankaj Dwivedi, Staff Software Engineer at Confluent based in Pune. AI stack includes antigravity and cursor."
image: "https://tal.club/meet/pankaj-dwivedi/share-image"
---

# Pankaj Dwivedi on Tal

## Headline

Staff Software Engineer at Confluent

## About

I work on cloud platform and infrastructure systems supporting large\-scale, regulated deployments, with earlier experience building on\-prem data platforms focused on data quality, profiling, and integration\. My focus has been on taking ownership of unclear or fragile areas — improving deployment reliability, strengthening security and compliance, and making platforms easier to operate at scale\. The work often sits at the intersection of distributed systems, platform engineering, and developer productivity\. Earlier in my career, I worked extensively on data\-intensive systems, including data quality and profiling platforms and large\-scale geocoding engines\. This involved building distributed orchestration, profiling pipelines, and performance\-critical systems operating on large datasets, both on\-prem and in cloud\-adjacent environments\. I typically work on complex, long\-lived codebases, focusing on system design, incremental improvement, and cross\-team coordination\. In recent years, I’ve worked on Kubernetes\-based deployment platforms responsible for provisioning and operating services across large fleets of clusters, including regulated environments\. I regularly work with product, security, and platform teams to translate requirements into system designs that hold up under operational and regulatory constraints\. During periods of organisational change, I’ve worked in areas with unclear ownership, helping maintain technical continuity and improving reliability and production readiness\.

## Location

Pune

## AI stack

antigravity

cursor

## Work experience

Staff Software Engineer at Confluent, Jun 2026 \- Present · 2 mos

Senior Software Engineer II at Confluent, Apr 2022 \- Jun 2026 · 4 yrs 3 mos, Pune District, Maharashtra, India, Platform Engineering — Deployment Platform \- Work on core components of Confluent’s Deployment Platform, supporting secure provisioning and lifecycle management of multi\-service deployments across \~5,000 Kubernetes clusters\. \- Conceived and drove early adoption of Drydock, an internal multi\-cluster, multi\-service pre\-production simulation and assertion platform that enables production\-like regression testing for a ring\-0 deployment platform, making large\-scale validation across thousands of clusters feasible within cost constraints\. \- Worked on FedRAMP enablement for the deployment platform, collaborating with security and compliance teams to meet regulatory requirements and support regulated deployments\. \- Designed and implemented deployment\-platform\-driven automation for SPIFFE\-based workload identity registration, collaborating with the identity team to remove manual onboarding steps and enable scalable, secure service\-to\-service authentication\. \- Collaborated with a central AI tooling team to introduce agent\-based workflows for on\-call operations, automating cross\-system data collection, correlation, and initial analysis to reduce on\-call toil and cognitive load\. \- Contributed to shared AI tooling by integrating Atlassian agents into the central platform, enabling multiple teams to build and adopt agent\-based operational workflows more easily\.

Technology Architect at Precisely \| Trust in Data, May 2020 \- Apr 2022 · 2 yrs, Pune, Maharashtra, India, \- Architected microservices for a cloud\-native Profiling SaaS app, enabling users to profile data directly in Snowflake and Databricks\. \- Built a RabbitMQ\-based orchestration engine to convert profiling requests into Snowflake jobs; drove deep runtime optimisations and memory tuning in Spring Boot services\.

Technical Architect at Pitney Bowes, May 2018 \- May 2020 · 2 yrs 1 mo, Pune/Pimpri\-Chinchwad Area, \- Designed and delivered a Data Scorecard module with a rule\-builder UI, enabling business users to define and monitor data quality rules\. \- Leveraged Neo4j to relate data sources, columns, rules, and suggestions; built a framework to analyze profiling results and auto\-suggest data cleanup actions\.

Senior Advisory Software Engineer at Pitney Bowes, Apr 2017 \- Apr 2018 · 1 yr 1 mo, Pune, Maharashtra, India, \- Designed and built a distributed data profiling app on the Spectrum platform, using Hazelcast to manage session state across nodes\. \- Stored results in Elasticsearch to enable fast, fuzzy\-match searches over profiling data; exposed full CRUD and orchestration via REST APIs\.

Advisory Software Engineer at Pitney Bowes, Aug 2015 \- Mar 2017 · 1 yr 8 mos, Pune

Senior Software Engineer at Symantec, Jul 2014 \- Aug 2015 · 1 yr 2 mos, Pune/Pimpri\-Chinchwad Area, \- Owned Lifecycle and LiveUpdate engines in Norton Mobile Security; contributed to engine redesign for improved reliability\. \- Built a Java agent to stabilize JUnit execution by intercepting async thread behavior\.

Senior Software Engineer at Pitney Bowes Software, May 2012 \- Jul 2014 · 2 yrs 3 mos, Noida, Uttar Pradesh, India, \- Led development of features in Mapmarker geocoding API and integrated it with Pitney Bowes’ Spectrum technology data platform\. \- Key contributor to building one of the most complex components — the Indian geocoder — from the ground up\. \- Also built a logging framework to trace address lifecycles, accelerating root cause analysis for devs and QA\.

## Education

Master's Degree, Software Systems, Birla Institute of Technology and Science, Pilani

Bachelor of Engineering \- BE, Computer Engineering, Army institute of technology

[View the original profile](https://tal.club/meet/pankaj-dwivedi)

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