Open to opportunities

Pratik Khairnar

@pratikkhairnar

Message

Systems Software Engineer specializing in AI infrastructure, SRE reliability, and cloud-native distributed systems.

India

Message

What I'm looking for

I want to build reliable, observable AI and distributed systems in a cloud-native environment. I’m excited by SRE-driven ownership (SLOs/error budgets), automation-first delivery (CI/CD + IaC), and teams that value continuous improvement and performance.

DevOps/Platform Engineer with 7+ years building repeatable deployment frameworks, CI/CD pipelines, and productiom-hardening standards for enterprise, data-heavy, and Al applications. Deep hands-on ex nce with Azure cloud services, GitHub Acticcl. self-hosted runners), ners), Terraform, Terraform, Kubernetes, Jenkins, and Sonar ongside observability stacks (Grafana, Pron, Datadog, ELK). Proven record taking prototypes and Al/data worklo to scalable, secure, production-ready deployents, eplo ents, including secrets/config management, IAM, secure connectivity, and release governance. Comfortable working across customer-owned environments with a strong focus on portability, security, and operational excellence.

Experience

Work history, roles, and key accomplishments

Current

Delivery Module Lead

Current

Mphasis Limited

Jan 2024 - Present (2 years 6 months)

Architected FastAPI-based microservices for large-scale data ingestion and telemetry workloads, improving scalability via database sharding/partitioning. Built event-based extraction orchestration (Control-M), implemented SRE practices (SLOs/SLAs/error budgets), and reduced provisioning time by 60% using Terraform/CloudFormation while automating CI/CD with GitLab.

fastAPI Microservices Terraform CloudFormation CI CD Splunk Prometheus Grafana SRE (SLOs Error Budgets)

Associate

Blackbuck Insights

Jul 2022 - Dec 2023 (1 year 5 months)

Designed and deployed cloud-native Python ETL pipelines on AWS Glue and Docker, processing 10M+ records daily using Pandas and PySpark. Improved resilience and reliability by strengthening logging/failure handling, reduced MTTR by 45% through SRE-aligned incident/change control, and automated infrastructure operations with Jenkins and Boto3.

Python AWS Glue ETL Docker Pandas Pyspark Jenkins Ray

Technical Analyst

Allianz Technology SE

Jun 2020 - Jul 2022 (2 years 1 month)

Developed Django-based cloud security platforms integrated with Illumio and ServiceNow, and deployed/monitored containerized workloads using Docker, Kubernetes, ELK, and Prometheus. Authored Python automation for security policy enforcement and vulnerability scanning across hybrid clouds, reducing manual audit efforts by 35%, and built health monitoring frameworks using Prometheus/ELK for real-tim

Django Python Docker Kubernetes ELK Stack Prometheus Illumio ServiceNow

Software Engineer

Nihilent Limited

Mar 2019 - Jun 2020 (1 year 3 months)

Automated legacy systems and incident remediation workflows using Python and StackStorm, reducing MTTR by over 50% via event-driven runbooks. Deployed microservices on AWS and Azure with Docker/Kubernetes and implemented infrastructure-as-code using Terraform, alongside centralized logging/monitoring with ELK.