SALMAN AHMED BASHEER

Senior Technical Lead

Bangalore

Summary

Dynamic and results-driven Senior Software Engineer with over 15 years of experience in architecting high-scale distributed data systems and private cloud environments, including VCF. Expertise in building low-latency telemetry pipelines, time-series data architectures, and real-time streaming solutions using modern big data stacks such as Kafka and Spark. Proven technical leader committed to driving organizational growth through innovative cloud infrastructure and backend data products while fostering team development and engineering excellence. Dedicated to integrating AI-assisted development to effectively address complex enterprise data challenges.

Overview

years of professional experience

Certification

Work History

P4 Engineer

Vmware by Broadcom India Pvt. Ltd.

07.2019 - Current

Technical lead and mentor to a team of five. Conduct daily scrums and involve in cross-team discussions.
Real-Time Observability Data Platform (SOS). Led the end-to-end architecture of a high-throughput observability data pipeline, transitioning from a legacy CLI tool to a scalable, real-time API service.
Metrics Monitoring Platform: Engineered the core metrics monitoring platform utilizing Telegraf and InfluxDB, optimizing the data ingestion and storage layers to continuously process and query massive volumes of distributed metric data with sub-second latency.
Scale & Caching: Designed a distributed, low-latency caching layer that enabled a 10x scale increase (supporting 100 to 1,000 hosts per cluster), successfully achieving an SLA of 8,000 requests per second for real-time health APIs.
Performance Engineering & Optimization: Single-handedly resolved over 90% of critical performance bottlenecks by executing deep SQL query optimizations, and refining data-layer schemas. Refactored parallel processing modules, yielding a 60% performance improvement.
Involved in cross-functional roles that improve productivity.
Data Pipeline Orchestration (SuperCollider) - Developed a robust data orchestrator module utilizing Airflow to ingest, aggregate, and process pipeline health data from distributed sources, delivering actionable insights to improve enterprise build efficacy, and weekly build health.
Improved development pipeline health and duration by decoupling inter-service pipelines, and refactoring legacy code.
Agentic AI Integration and Engineering Excellence: Championed the adoption of Agentic AI workflows to drive engineering efficiency and system reliability. Leveraged Pydantic AI and Cursor to design custom agentic architectures for automated code reviews, intelligent debugging of distributed data pipeline failures, and rapid refactoring of legacy Python codebases. Additionally, I architected an autonomous Infrastructure-as-Code (IaC) generator to dynamically provision and validate secure cloud environments in VCF.

Principal Member of Technical Staff

Oracle

06.2018 - 06.2019

GLCM – Reporting Module for OCI - Engineered a new asynchronous reporting service for OCI's GLCM using Celery and RabbitMQ, eliminating a critical database bottleneck in the legacy system.
This redesign improved report generation reliability and reduced end-to-end latency for large-scale fleet operations.

Technical Project Leader

Huawei India Pvt Ltd

10.2008 - 05.2018

As part of Huawei, I worked on many critical projects, like UAP, NGIN, SDP, OCS, etc. Below are some of the important projects that were involved in.
UAP – Envision Video Platform
Developed the SQM (Service Quality Management) component for IPTV, designing a non-blocking algorithm to aggregate terminal data, and generate regional statistics.
Primary engineer for SQM performance, resolving 90% of issues, and meeting all performance targets.
Lawful Interception.
Built an automation framework using Python and an in-house tool (TMSS).

Education

Bachelor of Engineering - Information Technology

University College of Engineering

Kerala

01-2008

Skills

Data Engineering & Streaming: Kafka, PySpark, Airflow, Celery, RabbitMQ

Observability & Time-Series: InfluxDB, Telegraf, Grafana, Telemetry Data Pipelines

Languages: Python, Golang, SQL

Cloud & Platforms: VMware Cloud Foundation (VCF), Oracle Cloud Infrastructure (OCI), Docker

Databases & Architecture: PostgreSQL, Memcached, Data Modeling, API Design (REST, OpenAPI)

AI & Developer Productivity: Pydantic AI, Cursor AI, ChatGPT for agentic workflow prototyping, code generation, and refactoring

Developer Productivity: Cursor AI, Codeium for code generation, refactoring, and debugging

Leadership: Agile/SCRUM, Org Scaling & Talent Development

Devops: Gitlab, Github, CI/CD