Kalaiselvan Reddy

DevOps Engineer

With over 7 years of experience, Kalaiselvan Reddy is a proficient Lead Engineer with expertise in cloud platforms (Azure, AWS), data engineering (Apache Kafka, Apache Spark), and machine learning frameworks (TensorFlow, Keras). He has a strong background in software development using Python, C#, and .NET Core, and has contributed to multiple projects across industries including automated driving, credit risk analysis, and process control. Kalaiselvan has led the implementation of scalable, event-driven services, and APIs, optimizing performance and security in cloud-native environments like Azure and OpenShift. He is recognized for his contributions with several awards in organizations such as Bosch, Luxoft, and ABB.

PREVIOUSLY AT

Bosch Global Software Technologies

LOCATION

Bengaluru, India

AVAILABILITY

Full Time

Skills

.NET Core

Argo CD

AWS

Azure

Azure DevOps

C++

Core JAVA

CSS

Docker

FastAPI

GIT

HTML

Istio

JavaScript

Keras

+12 More

Work Experience

Lead Engineer

Bosch Global Software Technologies

Nov, 2022 to Present

Developed and deployed infrastructure for automated driving systems.
Implemented data labelling modules using Azure services like Azure Machine Learning, AKS, and Cosmos DB. Also automated deployment processes using OpenShift and Argo CD, enabling seamless management of cloud infrastructure.
Created event-driven services with Confluent Kafka and FastAPI, ensuring efficient data processing pipelines. Additionally, contributed to container orchestration and deployment automation within the Azure cloud ecosystem, leveraging tools like Docker, Kubernetes, and Terraform for infrastructure automation

TECHNOLOGIES

OpenShift, Argo CD, Terraform, Azure (Azure Machine Learning, Azure Logic Apps, AKS, Blob Store, Cosmos DB), FastAPI, Confluent Kafka, Docker, Kubernetes, Python, MongoDB

DevOps Engineer

Laxoft

Nov, 2021 to Nov 2022

Responsibilities included developing a data pipeline module using .NET 6, Python, AWS services (EMR, Step Functions, Lambdas, EC2, and S3), and Apache Spark (PySpark).
Also worked on developing and maintaining modules for a Counterparty Credit Risk Analysis desktop application, utilizing C# and WPF.
Work focused on building scalable data pipelines and optimizing cloud infrastructure to support complex risk analysis processes

TECHNOLOGIES

.NET 6, Python, C#, AWS (EMR, Step Functions, Lambda, EC2, S3), Apache Spark (PySpark), WPF