Currently @ Navi · IT Infrastructure Engineer

Amaresh
Muddebihal

IT Infrastructure · DevOps Engineering · Automation

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01 — Profile

About Me

Currently working as an IT Infrastructure Engineer at Navi with a primary focus on DevOps engineering — building automation pipelines, reliable systems, and scalable infrastructure.

I combine IT infrastructure and DevOps practices — working with Python, Docker, CI/CD, ManageEngine, SQL, Google Workspace, and ITSM to automate workflows, improve deployment reliability, and deliver SLA-driven services.

DevOps Engineering — CI/CD, Docker, Git, Infrastructure as Code, Platform Reliability

Cloud Operations — GCP, AWS, Azure, Google Workspace

IT Infrastructure — ManageEngine, Windows & macOS, ITSM

Automation — Python, n8n, Batch Scripting, Workflow Automation

Reporting — SQL, Power BI, DAX, Power Query

Security — Endpoint Security, IAM, Compliance

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Certifications

02 — Expertise

Skills & Abilities

03 — Career

Work Experience

NAVI · FULL-TIME

IT Infrastructure Engineer – Senior Associate

Oct 2025 – Present · DevOps Focus

Managed enterprise IT infrastructure across Windows, macOS, Google Workspace, and GCP.
Automated IT operations using Python, SQL, and ManageEngine Endpoint Central.
Resolved endpoint, network, VPN, IAM, and infrastructure issues while maintaining high SLA compliance.
Developed Power BI dashboards to improve operational visibility and support data-driven decisions.

DevOpsCI/CDGCPDockerPythonAutomationITSM

TECHPLEMENT · INTERNSHIP

Cloud (AWS) Intern

Jun 2024 – Jul 2024 · Remote

Deployed and managed cloud-based applications using AWS EC2, RDS, and S3. Configured security groups, load balancing, and auto-scaling to improve application availability, security, and scalability.

Verify internship

AWSEC2RDSS3Cloud

KRSH WELFARE FOUNDATION · INTERNSHIP

Knowledge Analyst → Team Lead · Psychology at Workplace

May 2023 – Aug 2023 · Remote

Knowledge Analyst (1 month): Worked on workplace psychology research and authored 8 articles as an intern on psychology-at-work topics.
Team Lead (1 month): Promoted to lead and support fellow Knowledge Analysts on the same Psychology at Workplace program.

Psychology at WorkplaceResearchLeadershipCommunicationTeam Management

KODACY · INTERNSHIP

Robotic Intern

May 2022 – Jun 2023 · Remote

Completed a 15-day online robotics internship in association with Scientific Platforms And Cosmic Explorations (SPACE), focused on robotics fundamentals and applied learning.

RoboticsSPACESTEM

PANTECHELEARNING · INTERNSHIP

Machine Learning Intern

May 2022 – Jun 2022 · Remote

Developed supervised and unsupervised machine learning models using Python. Performed data preprocessing, feature engineering, model training, and evaluation. Delivered 3 ML projects focused on data analysis and model development.

PythonMachine LearningData Analysis

04 — Build