Subham Srivastava

CTO

Bengaluru, Karnataka, India6 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in designing fault-tolerant distributed systems.
Proven track record in cloud-native architecture.
Strong leadership in technical initiatives and team collaboration.

Stackforce AI infers this person is a Backend-focused SaaS architect with expertise in cloud-native solutions.

Contact

Skills

Core Skills

MicroservicesCloud ComputingBackend Development

Other Skills

KubernetesApache KafkaRedisCloud MigrationData IngestionReal-time ProcessingAPI IntegrationCache ManagementAsynchronous ProcessingCommunicationSpring BootArchitectureLitecoinPostgreSQLClient Intake

About

Technical Lead with 5+ years of experience designing and delivering high-throughput, fault-tolerant distributed systems and event-driven microservice architectures. Strong expertise in Java, Spring Boot, Python, Apache Kafka, AWS, and Kubernetes, with a proven track record of building scalable backend platforms in production environments. Experienced in end-to-end system design, CI/CD automation, Infrastructure as Code (Terraform/CDK), and modern DevOps practices, with a strong focus on reliability, observability, and performance optimization. Adept at leading technical initiatives, collaborating across teams, and driving engineering best practices. Certified AWS Solutions Architect – Professional and Certified Kubernetes Application Developer (CKAD), with a deep passion for building resilient, cloud-native systems at scale.

Experience

6 yrs 11 mos

Total Experience

3 yrs 5 mos

Average Tenure

4 yrs 11 mos

Current Experience

Kickdrum

4 roles

Technical Lead

Promoted

Jul 2025 – Present · 11 mos

Software Engineer

Jul 2022 – Dec 2023 · 1 yr 5 mos

MicroservicesCommunicationSpring BootArchitectureBackend Development

Senior Software Engineer

Promoted

Jul 2021 – Present · 4 yrs 11 mos

Worked on Telematics at EquipmentShare, a leading Equipment rental platform in the U.S. , designing and deploying scalable backend systems for real-time vehicle tracking and telemetry.
Led cloud migration of legacy data pipelines to microservices architecture using Kubernetes, Apache Kafka, and Redis decoupling ingestion from processing, enabling horizontal scaling, and processing 6,000+ messages/min while reducing infrastructure costs by 3-4x.
Built a real-time data ingestion platform integrating 100+ third-party vendor APIs for enterprise clients, designing unified client libraries with dynamic credential management to reduce client onboarding time by 70%.
Designed proactive cache warming and asynchronous cache refresh workflows, reducing cold-start latency and ensuring high availability during cache misses, reducing tracker message processing time by 60% while ensuring strict 6s response deadlines SLAs.

KubernetesApache KafkaRedisMicroservicesCloud MigrationData Ingestion+2

Software Developer

Jul 2021 – Jul 2022 · 1 yr

MicroservicesCommunicationArchitectureBackend Development

Developer student clubs

Android Study Jams Facilitator

Nov 2020 – Jan 2021 · 2 mos · India

Conducted Technical Sessions for over 200+ students and gave them an insight into Android Development with Kotlin.

Communication

Geexec

Application Developer Intern

Jun 2020 – Jun 2020 · 0 mo

Worked on Chat Section of a Social Media Application in Java and used Firestore.

Digital cognition

Coding Partner

Apr 2020 – Jun 2020 · 2 mos · India

Worked on patentSpike : Scraped and Compared patents from USPTO to get document similarity.
Worked on pyFinTrader : Social Network Analysis to get the interaction graph of a company and find central nodes

Crio.do

Back End Developer

Jan 2020 – Mar 2020 · 2 mos · Work from Home

Developed QMoney:
A portfolio analysing application to help visualize stock performance. Tiingo and Alphavantage used as service providers.
Developed QBox:
A secure file sharing Application in Java Spring framework, users can backup and share files through a secured service.
Developed Social Media Review System for QEats:
Users can share reviews directly from application to social media( Facebook Share API and Pinterest Share API) and use suggested(Clarifai API) or own tags in the food ordering app in Python.

Google developers

Core Technical Team - Developers Student Club, NIT Andhra

Jul 2019 – Jul 2021 · 2 yrs · Andhra Pradesh, India

Organized and volunteered for workshops on Git/ GitHub, Google Cloud Platform, Flutter and Web Development.

Communication

National institute of technology warangal

Research Intern

May 2019 – Jul 2019 · 2 mos · Warangal, Telangana, India

Big Data Image Processing
Worked on Multiple Object Detection in 16 Lacs Image Dataset in Distributed Environment. Used Map-Reduce Programming paradigm and worked on optimizing Image Processing Algorithms for Object Detection using Machine Learning in MATLAB.
Made and worked on 96 worker(cores) Hadoop Cluster
Made Spark Cluster
Volunteered for FDP on Big Data Image Processing and Machine Learning.