Nikhil Srivastava

Senior Software Engineer

Bengaluru, Karnataka, India5 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Kubernetes and cloud networking.
Designed secure egress networking for Confluent Cloud.
Optimized petabyte-scale data pipelines at Microsoft.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in the SaaS industry.

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Skills

Core Skills

KubernetesApache KafkaAzure Data Lake.net FrameworkDeep LearningPythonReact.jsFrontend Development

Other Skills

Amazon Web Services (AWS)MultithreadingCiliumGo (Programming Language)VirtualizationLinuxDistributed SystemsU-SQLOrleansC#MapReduceMicrosoft AzureBatch ProcessingPython (Programming Language)Long Short-term Memory (LSTM)

About

Over 5 years experience in tech industry. I like Kubernetes and cloud networking. Most of my work is at the intersection of these. I’m a Senior Software Engineer shaping Confluent Cloud’s egress-networking stack. I design and ship Private DNS, PrivateLink and Cilium network-policy frameworks that keep Kafka, Connect, Flink and Tableflow securely egressing across AWS, Azure and GCP using Go and Kubernetes. Earlier, I tuned petabyte-scale data pipelines on Azure Data Lake at Microsoft and learned to love clean, testable code in C#. These days I’m using Cursor to improve my productivity and introducing more bugs in production.

Experience

5 yrs 8 mos

Total Experience

2 yrs 10 mos

Average Tenure

3 yrs 8 mos

Current Experience

Confluent

3 roles

Senior Software Engineer II

Feb 2026 – Present · 3 mos · Remote

Traffic Control Plane Engineering

Senior Software Engineer

May 2025 – Jan 2026 · 8 mos · Remote

Traffic Control Plane Engineering

Senior Software Engineer

Jul 2022 – Apr 2025 · 2 yrs 9 mos · Remote

Kafka Connect Control Plane Engineering

Amazon Web Services (AWS)MultithreadingCiliumKubernetesGo (Programming Language)Virtualization+3

Microsoft

Software Engineer

Jun 2020 – Jun 2022 · 2 yrs · Bengaluru, Karnataka, India · Remote

Built and optimised big data pipelines over Azure Data Lake Analytics and Storage Services.
Learnt to write C# production grade code using SOLID principles.

U-SQLOrleans.NET FrameworkAzure Data LakeC#MapReduce+2

Samsung electronics

Machine Learning Intern

Aug 2019 – Jan 2020 · 5 mos

In association with Samsung research, created a novel solution for online hand-writing recognition. This was an on-device model capable of running without being connected to the internet and with real-time results(while writing). The same was deployed and tested on Samsung's flip device(collaborative smart whiteboard).

Python (Programming Language)Long Short-term Memory (LSTM)Feature EngineeringDeep LearningPython