Salman Siddiqui

DevOps Engineer

South Delhi, Delhi, India4 yrs 9 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in building resilient microservices architectures.
  • Proven track record in high-performance computing and distributed systems.
  • Strong experience in cloud-native application development.
Stackforce AI infers this person is a Backend-focused engineer with expertise in Fintech and cloud-native architectures.

Contact

Skills

Core Skills

KubernetesMicroservicesGoogle Cloud Platform (gcp)Apache KafkaDevopsJavaSpringboot

Other Skills

Linux KernelQuery LanguagesDatabase DesignBack-End Web DevelopmentUnit TestingRelational DatabasesKotlinApplication Programming Interfaces (API)Application DevelopmentWeb ApplicationsAPI DevelopmentEvent ProcessingRedisPostgreSQLMongoDB

About

Java, SpringBoot, Postgressql, Microservices, REST APIs, Distributed Systems, Spark, Hadoop, Kafka

Experience

4 yrs 9 mos
Total Experience
1 yr 3 mos
Average Tenure
11 mos
Current Experience

Urban company

Senior Platform Engineer

Jun 2025Present · 11 mos · Gurugram

Linux KernelKubernetes

Blusmart

Platform Engineer II

Apr 2024May 2025 · 1 yr 1 mo · Gurugram · On-site

  • Multi-tenant, real-time payment platform on Kubernetes with automated scaling, service discovery, and full-stack observability achieved 99.999% uptime across regions.
  • Built an HMAC-secured API Gateway with distributed rate-limiting, circuit breaking, and hot reloads delivered <50ms p95 latency at peak.
  • Architected a Kafka-based event backbone processing 100M+ events/day with guaranteed delivery and self-healing brokers.
  • Engineered a self-healing infra stack with Prometheus, Alertmanager, and chaos experiments reduced MTTR by 60%.
  • Migrated to Redis Enterprise Cluster, boosting throughput by 48% and tuning eviction strategies for sub-ms lookups.
  • Automated complete infra + app provisioning using Pulumi IaC + GitHub Actions, eliminating environment drift entirely.
  • Designed a centralized SLO framework with integrated latency/error budgets and alert pipelines — cut alert fatigue by 35%.
  • Built resilient ETL pipelines supporting schema evolution & idempotent processing — zero corruption in production data.
  • Implemented multi-region active-active failover with sub-1s cutover and automatic leader election.
  • Developed an observability mesh (Prometheus + Loki + Tempo + Grafana) with unified dashboards, SLOs, and anomaly detection.
  • Instituted GitOps deployments using ArgoCD + Pulumi for versioned, declarative state management.
Query LanguagesDatabase DesignBack-End Web DevelopmentMicroservicesUnit TestingRelational Databases+5

Ticketmaster

Engineer 3(Platform Engineer/SRE)

Sep 2022Apr 2024 · 1 yr 7 mos · Gurugram, Haryana, India · On-site

  • Working as a SRE and Platform Engineering building infrastructure and deployment tools. Working on solving Production issues as well as building monitoring logging and tools for onboarding Backend Services
Query LanguagesDatabase DesignMicroservicesDevOpsUnit TestingRelational Databases+5

Airtel africa digital labs

Software Development Engineer 1

Jul 2021Sep 2022 · 1 yr 2 mos · Gurugram, Haryana, India

  • Working as a Software Engineer in Airtel Money Team.
RedisPostgreSQLMongoDBDatabase DesignJavaApache Kafka+5

Relaypay

Software Engineering Intern (Backend)

Apr 2020Oct 2020 · 6 mos · Sydney, New South Wales, Australia(Remote)

  • Implemented cryptocurrencies for RelayPay Platform
  • Wrote a scrapper to fetch rate from multiple cryptocurrency vendors and build an API to Compare Multiple Platform.
  • Integrated Different Payment System on RelayPay Platform.
  • Build a completely Automated Deployment Pipeline for our Platform using Jenkins, Docker, Kubernetes.
  • Build the Merchant Transaction System.
  • Implemented Buy Crypto Solution
  • Implemented and Contributed in implementing lot of other Features and Building Scalable REST APIs for RelayPay's Platform
  • Tech Stack: Java8, SpringBoot, Xchange, PostgreSQL, JUnit
Unit Testing

Algo8

Data Scientist Intern

May 2018Jul 2018 · 2 mos · Remote

  • Worked on Building the Location Intelligence System for Algo8.ai
  • Implemented the Backend in Flask, Integrated the Authentication System, and Mapping System, Later moved the environment to Django, Used GeoDjango to Provide the Data from Backend API to be mapped on the Frontend.
  • Implemented the Frontend in Javascript with D3.js and Leaflet.js. Implemented the Mapping System on frontend to show location for the given requirements.
  • Worked on Implementing the Audio Engineering Pipeline. Studied and Implemented a Pipeline for Extraction of Audio Feature Vector to Train the Neural Network.
  • Tech Stack: Python, Flask, Django, Sklearn, Javascript, Librosa
Unit Testing

Education

Noida International University

Bachelor of Technology - BTech — Computer Science

Jan 2017Jan 2021

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