Nadeem Ali

I’m a tech professional with 11+ years of experience across production support, trading systems, and DevOps, now advancing toward Site Reliability Engineering (SRE) — inspired by Google’s approach to achieving reliability through engineering and automation.

Throughout my career, I’ve worked on mission-critical systems such as Charles River Trading System and Amazon Seller Support, focusing on service uptime, performance optimization, and automation to reduce operational toil.

💡 Core Expertise:
Python | AWS | Kubernetes | Docker | CI/CD | Observability | Monitoring | Incident Response | Automation | Terraform | Cloud Reliability

I’m expanding my skill set around Google Cloud’s SRE practices — applying principles like SLIs, SLOs, and error budgets to design scalable, resilient, and observable systems.

In parallel, I’ve also explored data reliability and workflow automation using Airflow and Snowflake, reinforcing my foundation in building data-aware, automated, and fault-tolerant systems that integrate seamlessly with SRE principles.

🚀 My goal: to engineer self-healing, automated, and metrics-driven systems that ensure reliability at scale and accelerate delivery without compromising stability.

I am a Technical Specialist / SRE–DevOps professional with 10+ years of experience supporting mission-critical financial and e-commerce systems across global organizations including Fidelity International, Amazon, Deutsche Bank, and HCL Technologies.

Currently at Fidelity International, I specialize in production stability, monitoring, automation, and trade systems, supporting the Charles River Trading System (CRD) across FX, equities, and multi-asset classes. I have consistently improved system reliability by reducing false alerts (30%), cutting manual effort through automation (40%), increasing uptime (25%), and improving trade settlement accuracy while maintaining 99% FIX trade execution accuracy. I also act as a Change Management SPOC and mentor engineers to scale operational efficiency.

Previously at Amazon, I worked as a Support Engineer III (DevOps), handling Java-based systems, CI/CD pipelines, AWS services, Jenkins deployments, and auto-healing automations, contributing to faster issue resolution and stable seller platforms.

My earlier career spans progressive roles at Fidelity and Deutsche Bank, where I built deep expertise in ITRS Geneos monitoring, SRE practices, automation, incident management, and SLA-driven production support, earning recognition for improving monitoring systems and being promoted early to leadership roles.

Overall, my strengths lie in SRE & DevOps, cloud adoption (AWS), financial trading systems, automation, monitoring, incident & change management, and mentoring, with a proven track record of delivering measurable operational improvements in high-pressure environments.

I hold a Bachelor of Technology (B.Tech.) in Computer Science & Engineering from Dr. A.P.J. Abdul Kalam Technical University, completed between 2010 and 2014. My academic foundation includes core computer science subjects such as Distributed Systems, software engineering, and system-level computing.

Alongside academics, I was an active member of the Event Management Group, which helped me develop coordination, leadership, and teamwork skills—complementing my technical education with strong organizational and communication abilities.

This combination of theoretical computer science knowledge and collaborative experience laid the groundwork for my career in software engineering, SRE, DevOps, and large-scale production systems.