Alok Kumar Thakur

Software Engineer

New Delhi, Delhi, India1 yr 5 mos experience

AI Enabled

Key Highlights

Led development of scalable backend systems at Amazon.
Expert in cloud-native architectures and distributed systems.
Achieved significant operational efficiency through automation.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and cloud infrastructure.

Contact

Skills

Core Skills

Backend DevelopmentCloud InfrastructureReliability EngineeringSoftware Development Life Cycle

Other Skills

AWS LambdaAWS EMRAWS EC2AWS RDSAWS RedshiftCloudWatchSQSECSCI/CDAWS servicesDatabase MonitoringScalabilityData ProcessingFault ToleranceAI Automation

About

📩 I’m seeking Software Engineering role opportunities where I can design scalable backend systems, solve complex engineering problems, and contribute to building reliable, high-impact products. Open to relocation, including international roles. Background: I am a Software Development Engineer with strong experience in backend development, distributed systems, and cloud-native architectures, working on large-scale, production-grade systems. I bring hands-on expertise in designing reliable services, building data-intensive pipelines, and operating systems in high-ownership environments with a strong focus on performance, scalability, and operational excellence. My technical skill set spans C, C++, Java, Python, JavaScript/TypeScript, SQL and NoSQL databases, and modern backend frameworks, with deep exposure to AWS services, CI/CD pipelines, observability, and on-call ownership. I am particularly interested in backend platforms, system design, cloud infrastructure, and reliability engineering. I hold a B.Tech in Aerospace Engineering with a second major in Mathematics and Scientific Computing from IIT Kanpur, which has given me a strong analytical and problem-solving foundation. I am also an active competitive programmer with a Codeforces Expert rating, and I enjoy tackling algorithmically challenging problems that translate into efficient, scalable system design. I am driven by ownership, continuous learning, and building robust backend systems that scale reliably and deliver real-world impact.

Experience

1 yr 5 mos

Total Experience

1 yr 5 mos

Average Tenure

Current Experience

Amazon

2 roles

Software Engineer

Jul 2024 – Dec 2025 · 1 yr 5 mos

Led backend development for the next-gen Database Monitoring Service, replacing the legacy system with a highly scalable, audit-compliant architecture capable of monitoring 300+ DB instances per AWS account (previously ~30).
Built a distributed data-processing framework using AWS EMR, enabling parallel, high-throughput analysis of DML activity across millions of internal AWS accounts with strong fault tolerance and reliability.
Enhanced operational excellence as the team’s Ticket Score Ambassador, integrating AI-powered automation (Automated CloudWatch Investigations for AutoCut Tickets) into on-call workflows, reducing investigation effort and lowering MTTR.
Resolved a critical web-portal performance issue by replacing oversized Lambda → API Gateway payload transfers with S3 pre-signed URL delivery (HTTP 308 redirects), significantly reducing latency and improving reliability.
Gained extensive hands-on experience with AWS Lambda, EMR, EC2,RDS, Redshift, CloudWatch, SQS, ECS, CloudTrail, and CI/CD pipelines. Strengthened operational expertise through on-call rotations, handling real-time incidents, troubleshooting complex failures, and improving overall service reliability.

AWS LambdaAWS EMRAWS EC2AWS RDSAWS RedshiftCloudWatch+5

Software Engineer Intern

May 2023 – Jul 2023 · 2 mos

Automated the re-class entry deletion process for multiple bonus types in Amazon’s internal finance systems, eliminating manual intervention and reducing operational overhead during month-end close (MEC)periods.
Achieved ~36 hours of annual engineering time savings by developing an automated backend workflow to handle bonus-related data corrections reliably.
Ensured production-grade reliability by implementing structured logging, custom metrics, and proactive alarm mechanisms across the workflow.
Gained end-to-end exposure to the software development lifecycle, including CI/CD, unit testing, integration testing and end-to-end testing within Amazon’s internal developer ecosystem.

Automated backend workflowStructured loggingCustom metricsProactive alarm mechanismsSoftware Development Life Cycle (SDLC)Backend Development+1