Deepesh Sharma

DevOps Engineer

Bengaluru, Karnataka, India4 yrs 6 mos experience

Key Highlights

Expert in back-end web development and DevOps.
Designed high-throughput platforms for real-time data processing.
Automated workflows, reducing onboarding time significantly.

Stackforce AI infers this person is a Backend-focused engineer with expertise in SaaS and Telecommunications.

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Skills

Core Skills

DevopsBack-end Web Development

Other Skills

Continuous IntegrationContinuous Delivery (CI/CD)DatabasesPythonReal-time MonitoringAlertingGrafanaSecurityTelemetryProgrammingFastAPIPostgreSQLRedisAutomationDeployment

About

With a Bachelor of Technology in Computer Science from the Indian Institute of Information Technology Kottayam, I have honed my skills in back-end web development, DevOps, and cloud services. My professional journey includes impactful roles at Oracle and Ericsson, where I contributed to the design of high-throughput platforms, real-time monitoring tools, and innovative API services that improved system efficiency and reliability. My passion lies in crafting practical solutions that drive measurable outcomes through clean architecture and automation.

Experience

4 yrs 6 mos

Total Experience

2 yrs 3 mos

Average Tenure

Current Experience

Oracle

Member of Technical Staff

Jun 2024 – Apr 2026 · 1 yr 10 mos · Bengaluru · Remote

Architected a T2 metrics plugin in python, enabling real-time observability and alerting across 3 core services and 15 canary instances.
Redesigned Grafana dashboards, eliminating legacy tenancy permissions and resolving critical security vulner-abilities while improving monitoring efficiency.
Engineered a custom log parser in python to aggregate and structure telemetry from core services; integrated findings into automated alerting, significantly improving proactive monitoring capabilities

Continuous IntegrationContinuous Delivery (CI/CD)DatabasesDevOpsBack-End Web Development

Ericsson

Software Engineer

Aug 2021 – May 2024 · 2 yrs 9 mos · Bengaluru · Hybrid

Designed microservices platform processing 50–500GB/day network data for real-time RCA.
Built high-throughput pipeline using Python(FastAPI), PostgreSQL, and Redis queues.
Architected and built Go (Fiber)-based API service , improving response latency by 50% in benchmarked user
test cases.
Automated end-to-end E-RCA workflows (onboarding, validation, deployment), eliminating manual SSH-based
setup on customer VMs and reducing onboarding time from 15–30 days to 2–5 days.
Refactored 3000+ Lines of Core module, improving maintainability and reducing processing time by 30%

Continuous IntegrationContinuous Delivery (CI/CD)ProgrammingBack-End Web DevelopmentDevOps