Sandesh S.

SRE (Site Reliability Engineer)

Bengaluru, Karnataka, India4 yrs experience

Most Likely To Switch

Key Highlights

Expert in building reliable systems as a Site Reliability Engineer.
Proficient in full stack development with Angular and Flask.
Strong background in monitoring and observability solutions.

Stackforce AI infers this person is a SaaS-focused Site Reliability Engineer with strong full stack and monitoring expertise.

Contact

Skills

Core Skills

Full Stack DevelopmentMonitoringCdn ManagementIncident ManagementMicroservicesCybersecurityMachine Learning

Other Skills

AWS Identity and Access ManagementAWS Management ConsoleAWS SagemakerAlgorithmsAngularAnsibleBashC (Programming Language)Cascading Style Sheets (CSS)Cloud ComputingComputer NetworkingComputer ScienceData StructuresDatabase Management System (DBMS)DevSecOps

About

I am a committed Site Reliability Engineer (SRE) focused on building and maintaining reliable systems within the Monitoring and Observability team. My contributions include: - Developing effective monitoring solutions that enable internal teams to track their applications and infrastructure, including setting up data-driven alerts and providing clear Grafana dashboards for enhanced visibility. - Managing on-premises storage systems, ensuring teams have access to file, block, and object storage (S3-compatible) using platforms like Dell to meet their operational needs. - Supporting the company’s Content Delivery Network through Akamai as part of the CDN group, helping ensure efficient and seamless content delivery. - Building and maintaining a custom web application using Angular and Flask, which automates the provisioning of file, block, and object storage via a self-service portal, simplifying resource allocation for internal teams. I aim to support system reliability and operational efficiency while collaborating with others in a dynamic environment.

Experience

4 yrs

Total Experience

8 mos

Average Tenure

1 yr 7 mos

Current Experience

Omnissa

2 roles

Site Reliability Engineer Ill - SOS

Promoted

Nov 2024 – Present · 1 yr 7 mos · Bengaluru, Karnataka, India

Site Reliability Engineer ll - SOS

Oct 2024 – Nov 2024 · 1 mo · Bengaluru, Karnataka, India

Full Stack Development: Building an Angular web application for the SOS team to streamline
storage allocation for internal teams.
Monitoring and Visualization: Managing monitoring services for storage devices across global regions (US, EMEA, APAC) and providing monitoring solutions as a service.
CDN Management: Overseeing the setup and management Web applications over Akamai CDN
across the organization.

Broadcom

Site Reliability Engineer II - EUC - SOS ( Storage and Observability )

Dec 2023 – Sep 2024 · 9 mos · Bengaluru, Karnataka, India · On-site

Vmware

Site Reliability Engineer II - StaaS

Jun 2023 – Dec 2023 · 6 mos · Bengaluru, Karnataka, India · Remote

Full Stack experience with Angular-based frontend and Flask-based backend for StaaS team,
ensuring a seamless and user-friendly interface, improving the overall effciency of storage resource management.
Continuous Integration and Deployment, reducing deployment times by 30%, streamlining workflows and enhancing the overall speed and reliability of software delivery.
Leading Prometheus monitoring across global regions (US, EMEA, APAC) and visualizing data through Grafana dashboards, improving incident response by 20% and providing actionable insights for proactive issue identification, enhancing overall system reliability.
Handling On-Call tickets for StaaS incidents and Collections, ensuring efficient incident response and minimizing downtime, which positively impacted the overall reliability of the StaaS platform.
Orchestrating microservices in Kubernetes clusters for data collection and optimized Self Service Portal, contributing to the seamless operation of microservices and enhancing the overall efficiency.

Python (Programming Language)LinuxAnsibleFlaskAngularBash+5

Eaton

Cybersecurity Intern

Jan 2023 – May 2023 · 4 mos · Pune, Maharashtra, India · On-site

Threat Modeling: Created a custom threat modeling template for ICS system in Microsoft TMT.
Python Scripting: Developed Python scripts with a focus on regular expressions to automate tasks and improve efficiency.
Docker and Kubernetes: Gained a comprehensive understanding of Docker and Kubernetes, containerization technologies that can be used to deploy and manage applications.
Microsoft Azure Certifications: Successfully completed three fundamental certifications from Microsoft on Azure: AZ-900, DP-900, and SC-900.
Product Testing: Contributed to the company's product testing efforts, demonstrating the ability to ensure the quality and functionality of their offerings.

Python (Programming Language)Microsoft Azure PowerAutomateThreat ModelingMicrosoft AzureCybersecurity

Compusys student society - rcoem cse

Treasurer

Aug 2022 – Apr 2023 · 8 mos · Nagpur, Maharashtra, India · Hybrid

Eaton

Summer Intern

May 2022 – Jul 2022 · 2 mos · Pune, Maharashtra, India

As a Cybersecurity Intern for a summer internship, I had the opportunity to test DevSecOps tools against a vulnerable OWASP web application angular project. I compared the source code scanning and third-party source code scanning using tools against Snyk. I also evaluated the SBOM and General Public license of the project. It was a challenging yet exciting experience as I was able to apply my knowledge in identifying vulnerabilities and implementing security measures. Through this internship, I gained valuable experience in the field of cybersecurity and DevSecOps.

SQLMicrosoft ExcelDevSecOpsCybersecurity

Persistent systems

Internship Program

May 2022 – Jun 2022 · 1 mo · Nagpur, Maharashtra, India

Data StructuresPython (Programming Language)Database Management System (DBMS)Computer Networking

Infocepts

Machine Learning Intern

Jun 2021 – Jul 2021 · 1 mo · Nagpur, Maharashtra, India

Developed & Trained the Model to Predict the Number of Bike Rentals Count On-Demand, helping over 100+ Kiosk locations in the Capital Bikeshare program in Washington, D.C.
Applied Machine Learning Techniques using AWS Sagemaker, Python & AWS S3.
Followed Industry Approach of Exploratory Data Analysis, Data Visualization, Feature Engineering, Modeling & Hyper Parameter Tuning.

Machine Learning