Mohit Gudivada

DevOps Engineer

Bengaluru, Karnataka, India4 yrs 1 mo experience

Highly Stable

Key Highlights

Expert in monitoring and observability tools.
Proven track record in automation and system efficiency.
Strong background in cloud infrastructure and DevOps.

Stackforce AI infers this person is a SaaS DevOps Engineer specializing in monitoring and automation.

Contact

mohitgudivada01@gmail.com LinkedIn

Skills

Core Skills

DevopsCloud ComputingMonitoringAutomationIncident ResponseDeployment ManagementLog Analysis

Other Skills

Amazon Web Services (AWS)TerraformPython (Programming Language)JavaScriptPrometheusKubernetesPythonShell scriptingAlertmanagerGrafanaAnsibleFlaskKibanaAzure DevOps ServerSQLite

About

With experience in monitoring, observability, and cloud infrastructure, I specialize in improving system reliability, performance, and uptime using tools like Prometheus, Grafana, and Alertmanager. I have designed and deployed monitoring solutions for Kubernetes clusters, developed custom exporters, and created alerting systems that enhance visibility and streamline incident response. Additionally, I’ve built dashboards that provide actionable insights for engineering and operations teams. Passionate about automation, I focus on developing tools using Python and Flask to seamlessly integrate monitoring platforms and automate repetitive tasks, improving overall system efficiency. I enjoy leveraging data to proactively address issues and optimize performance. Currently, I’m seeking opportunities in Backend development, Devops and SRE where I can contribute to building scalable, reliable systems and help organizations optimize their infrastructure through automation and improved observability.

Experience

4 yrs 1 mo

Total Experience

3 yrs 8 mos

Average Tenure

5 mos

Current Experience

Kotak811

Sr. Devops Engineer

Jan 2026 – Present · 5 mos · Bengaluru, Karnataka, India · Hybrid

Amazon Web Services (AWS)TerraformDevOpsCloud Computing

Uptycs

Software Engineer

May 2022 – Jan 2026 · 3 yrs 8 mos · Bengaluru, Karnataka, India · On-site

Kubernetes Monitoring: Optimized monitoring with Prometheus, kube-state-metrics, and a custom exporter, enhancing visibility by 70% and improving resource performance.
Automation & Integration: Automated metric collection for 40% of services using Python and Shell scripting, improving system health visibility.
Alerting & Incident Response: Created 100+ production-grade alert rules, enhancing incident response and supporting Engineering and DevOps teams.
Grafana Dashboards: Developed 25+ Grafana dashboards, providing critical insights into system health and facilitating rapid troubleshooting.
Deployment Management: Maintained Ansible playbooks for efficient monitoring deployment, achieving a 90% deployment success rate.
Server Monitoring: Built Flask-based Server-View for real-time rack power and server metric monitoring, enhancing proactive maintenance and capacity planning.
ESXi Server Automation: Automated ESXi server renewal with Flask, reducing manual effort by 90% and improving efficiency.
Log Analysis & Reporting: Set up Flask server for PgBadger report generation and enhanced log visibility across services; used Kibana for quick issue detection and root cause analysis, improving system reliability.

Python (Programming Language)JavaScriptMonitoringAutomation