Cloud Infrastructure · Kubernetes · Apache Kafka · SRE

Prashant Singh
Senior DevOps &
Platform Engineer

14 years of IT experience, specializing in cloud infrastructure, distributed systems, event streaming and production reliability across GCP and AWS.

About me

Engineering for reliability.

A practical, operations-minded engineer focused on making platforms easier to deploy, observe, scale and support.

With 14 years in IT, I bring together software engineering, systems operations and cloud platform work. My career has progressed through software and application development, middleware and systems engineering, and DevOps, cloud and platform engineering.

My work includes operating Kafka-based streaming platforms, supporting Debezium CDC pipelines, Kubernetes application delivery, CI/CD workflows and production monitoring. I focus on practical reliability, clear operations and dependable delivery.

Platform & cloud
GCP, AWS, GKE, infrastructure automation
Event streaming
Apache Kafka, Kafka Connect, Debezium CDC
Reliability & observability
Grafana, Zabbix, troubleshooting, production support
Automation & delivery
Terraform, Docker, GitLab CI/CD
Technical toolkit

Tools I work with

Core technologies across infrastructure, delivery, event streaming and operations.

Hands-on experience

Technologies used in engineering and operational work.

GCPAWSGKEKubernetesDockerApache KafkaKafka ConnectDebeziumTerraformAnsibleGitLab CI/CDGrafanaZabbixLinuxCentOSRocky Linux

Working knowledge

Areas of familiarity, kept distinct from hands-on experience.

HelmPrometheus

Application foundation

Software and data technologies from application engineering.

JavaSpring BootREST APIsMySQLPostgreSQLBashPython
Selected work

Projects & platform experience

Examples of the systems and engineering areas I have worked on. Details are intentionally high-level and exclude internal credentials or confidential architecture.

01 / EVENT STREAMING

Enterprise Kafka platform operations

Operations for Kafka environments supporting application and data engineering workloads.

  • Supported brokers, topic provisioning, partitions, replication and retention
  • Worked with Kafka 3.6.1 and KRaft-based environments
  • Supported consumer groups, production troubleshooting and monitoring
Kafka 3.6.1KRaftGrafana
02 / CHANGE DATA CAPTURE

Debezium CDC pipelines

Database change-data-capture using Debezium and Kafka Connect to move changes to downstream consumers.

  • Kafka Connect worker operations and connector troubleshooting
  • CDC pipeline and downstream data movement support
  • WAL configuration and CDC troubleshooting
DebeziumKafka ConnectCDC
03 / CLOUD NATIVE DELIVERY

GKE application delivery

Cloud-native application deployment workflows for containerized services.

  • Git-based change and merge-request workflow
  • Build, deployment and validation through delivery tooling
  • Production troubleshooting and service monitoring
GCPGKEDockerDevtron
04 / INFRASTRUCTURE AUTOMATION

Terraform & cloud labs

Hands-on infrastructure-as-code learning and implementation across cloud services.

  • Reusable infrastructure definitions
  • Cloud networking and compute foundations
  • Exploration of managed services and automation
TerraformGCPAWS
Architecture & case studies

Representative platform workflows

Illustrative, high-level workflows based on the technologies described here; these are not diagrams of a specific employer's internal systems.

Kafka event streaming

Typical operational path from event producers through a replicated Kafka platform to consumer applications.

ProducersKafka brokersTopicsConsumer groups

Debezium change data capture

Database changes are captured by a connector and published to Kafka for downstream processing.

Database log / WALDebezium connectorKafkaConsumers

Kubernetes application delivery

A representative workflow for delivering containerized services to a managed Kubernetes environment.

Source controlCI/CDContainer imageGKE

Production observability

Monitoring signals help teams investigate issues and maintain service reliability.

ServicesMetrics & dashboardsAlertsIncident response
Career

Professional experience

A 14-year career progression across software engineering, systems and middleware, and platform engineering.

IndiaMART InterMESH Limited

2013–2026 · Role-specific dates and formal titles not provided

Progressed through these areas during my tenure:

Software engineering & application development

Application engineering foundation across software and data technologies.

Middleware & systems engineering

Systems and middleware work supporting application services and operations.

DevOps, cloud & platform engineering

Kafka and Debezium operations, GCP/GKE application delivery, monitoring, automation and production support with application and data engineering teams.

Earlier experience

Websitetoolbox Inc. and other roles · Software and systems engineering experience.

Certifications & education

Education and credentials

Verify my AWS certification using the official credential record.

M.Tech in Computer Science and Engineering

Dr. A.P.J. Abdul Kalam Technical University (AKTU) · CGPA: 8.33/10

GitHub & technical labs

Hands-on work and technical demos

Explore my public profile for Terraform labs, Kubernetes manifests, Kafka demonstrations and other technical work.

Code samples and project details are available on my GitHub profile.

Visit GitHub ↗
Contact

Let's build reliable platforms.

Open to conversations about Platform Engineering, DevOps, SRE, Kubernetes and cloud infrastructure opportunities.