Abhishek Sharma — Senior Software Engineer

Senior Software Engineer with 10 years of experience leading teams, designing and scaling distributed systems, real-time data pipelines, and AI/ML-powered platforms that serve millions of users globally. Currently at ServiceNow, leading engineering on the core AI alerting engine and a usage analytics platform processing 50M+ events/second across thousands of enterprise tenants. My work directly reduces customer incident response time and drives product adoption insights consumed by executive stakeholders. Previously at Servian (now Cognizant), I lead teams and architected cloud-native solutions on GCP, AWS, and Azure — including a national-scale real-time inventory platform sustaining 500,000 QPS, a 1000+ camera live-streaming microservices system, and cost-optimization initiatives saving ~$2M/year in cloud spend. Core Strengths: • Distributed Systems & Event-Driven Architecture (Kafka, Pub/Sub, SQS) • Backend Engineering at Scale (Java, Spring Boot, Node.js, gRPC, REST) • Cloud Infrastructure & DevOps (GCP, AWS, Azure, Kubernetes, Docker, CI/CD) • AI/ML Platform Engineering & Observability (AIOps, Anomaly Detection, Real-time Analytics) • Database Design (PostgreSQL, CosmosDB, BigQuery, Redis, MySQL) Career Highlights: • Reduced AI alert false positives by 20% → directly contributed to ARR growth at ServiceNow • Built analytics pipeline handling 50M+ log events/sec across multi-tenant SaaS platform • Architected auto-scaling inventory system at 500,000 QPS for a national retail chain • Cut microservice deployment time from 30 min → under 60 seconds via automated CI/CD • Delivered 10x throughput improvement by re-architecting auto-scaling for 50,000+ users

Stackforce AI infers this person is a SaaS Backend Engineer with expertise in AI/ML and distributed systems.

Location: Bengaluru, Karnataka, India

Experience: 8 yrs 6 mos

Skills

Ai/ml Platform Engineering
Distributed Systems
Cloud Infrastructure
Backend Engineering

Career Highlights

Reduced AI alert false positives by 20% at ServiceNow.
Built analytics pipeline handling 50M+ log events/sec.
Architected auto-scaling inventory system at 500,000 QPS.

Work Experience

ServiceNow

Senior Software Engineer (3 yrs 3 mos)

Servian

Senior Software Engineer (1 yr 5 mos)

Software Engineer (3 yrs 10 mos)

Opinio

Software Development Engineer (0 mo)

Amazon.com

Software Development Engineer Intern (0 mo)

Education

Bachelor of Technology (B.Tech.) at Jaypee University of Information Technology

Abhishek Sharma

Senior Software Engineer

Bengaluru, Karnataka, India8 yrs 6 mos experience

Highly StableAI Enabled

Key Highlights

Reduced AI alert false positives by 20% at ServiceNow.
Built analytics pipeline handling 50M+ log events/sec.
Architected auto-scaling inventory system at 500,000 QPS.

Stackforce AI infers this person is a SaaS Backend Engineer with expertise in AI/ML and distributed systems.

Contact

Skills

Core Skills

Ai/ml Platform EngineeringDistributed SystemsCloud InfrastructureBackend Engineering

Other Skills

JavaJavaScriptAI/MLReal-time AnalyticsKafkaCosmosDBCloud-native SolutionsMicroservicesFFmpegDockerApache KafkaGoogle Cloud Platform (GCP)Amazon Web Services (AWS)Microsoft AzureSystems Design

About

Experience

8 yrs 6 mos

Total Experience

5 yrs 3 mos

Average Tenure

3 yrs 3 mos

Current Experience

Servicenow

Senior Software Engineer

Mar 2023 – Present · 3 yrs 3 mos · Bengaluru · Hybrid

Leading engineering on the core AI/ML alerting engine and real-time observability platform powering 7,000+ enterprise customers on the ServiceNow platform.
Key Contributions:
◆ Reduced AI alert false positives by 20%, improving platform reliability and contributing directly to revenue retention and ARR growth
◆ Architected real-time alert delivery pipeline to mobile/handheld devices and push-notification microservices — achieving <2s P99 latency for critical incidents
◆ Built horizontally scalable usage analytics platform processing 50M+ log events/second across all customer tenants; outputs power PM and executive product dashboards
◆ Integrated centralized multi-tenant analytics aggregation system ingesting telemetry from 10,000+ devices, reducing insight latency from days to minutes
◆ Drove cross-functional alignment across 3 engineering teams to standardize observability instrumentation, cutting MTTD for production incidents by 35%

JavaJavaScriptAI/ML Platform EngineeringDistributed Systems

Servian

2 roles

Senior Software Engineer

Promoted

Dec 2020 – May 2022 · 1 yr 5 mos

Led design and delivery of large-scale cloud-native systems across retail, media, and healthcare domains for enterprise clients across Australia and Asia.
Key Contributions:
◆ Architected real-time inventory management platform for a national retail chain — 5M+ stock updates/day across 300+ malls on an auto-scaling Kafka + CosmosDB pipeline at ~500,000 QPS
◆ Led backend microservices engineering for AI-powered video analytics SaaS; enabled simultaneous live streaming + archival of 1000+ IP cameras (HLS/FFmpeg) across Australia and Asia
◆ Reduced deployment time from 30 minutes to under 60 seconds by building a fully automated CI/CD pipeline (GitLab CI + Docker + Kubernetes), accelerating release cadence by 15x
◆ Resolved auto-scaling bottleneck impacting 50,000+ users across Europe and Australia; re-architected load-balancing layer for 10x throughput improvement
◆ Reduced cloud infrastructure costs by 25% (~$180K/year) via automated lifecycle purging policy on Azure Blob Storage
◆ Redesigned iOS + backend healthcare app with hospital stakeholders — drove 200% increase in user base within 6 months

Software Engineer

Jan 2017 – Nov 2020 · 3 yrs 10 mos

◆ Led the charge to scale and expand iOS patient rehabilitation app from a single to multiple hospitals through backend re-design.
◆ Architected the backend of a property selling web application to implement 1-click Facebook sharing of properties; fully automated the manual process making it 100x faster; increased shares on social media by 5x

Opinio

Software Development Engineer

Jan 2016 – Jan 2016 · 0 mo · Bangalore

◆ Saved ~400 man hours per month by modernizing the Excel based food delivery pilot information management system through design and development of digital application.
◆ Reduced the time to manage pilot trainings from a few hours to 1 min by developing REST APIs.

Amazon.com

Software Development Engineer Intern

Jan 2015 – Jan 2015 · 0 mo · Hyderabad

◆ Reduced shipment planning waiting time of several hundred thousand shipments from 24 hours to less than 1s by implementing backend APIs; increasing profits and reducing operational load.
◆ Increased scalability and reliability by 10x of shipment cost estimation by incorporating Amazon AWS SQS into the workflow.