Headline

DevOps & Site Reliability Engineer (L2) @ Publicis Sapient | AWS | Kubernetes | Terraform | Ansible | Helm | Docker | Dynatrace | Grafana | Prometheus | Akamai | RBAC | GitOps | ServiceNow

About

DevOps & Site Reliability Engineer | Cloud FinOps | Infrastructure Optimization I specialize in building resilient, cost-efficient infrastructure that scales. My core philosophy is that it’s not enough for a system to be "up"—it must be optimized for both performance and profitability. Currently, at Publicis Sapient, I focus on high-stakes SRE for global brands like Marriott, L'Oréal, and Loblaws. A career highlight includes leading a Cloud FinOps initiative that slashed AWS expenditure by 68% ($100k+ monthly savings) through precise resource rightsizing and EKS optimization across Dev, QA, and Prod environments. What I Do: • Infrastructure & Orchestration: Designing and maintaining high-availability EKS and Kubernetes-based workloads using Terraform and Ansible. • Reliability & Observability: Engineering 99.9% uptime solutions and reducing MTTR through deep-dive forensic analysis using Dynatrace, Splunk, and the ELK Stack. • Traffic & Security: Orchestrating zero-downtime deployments and securing application delivery via Akamai CDN and traffic steering. • Automation: Building robust CI/CD pipelines (Jenkins) and streamlining container strategies with strict Docker versioning. • Beyond the terminal, I help students and early-career professionals master Cloud workflows, System Design, and DevOps best practices. I thrive on bridging the gap between complex backend architecture and seamless user experiences. My goal is simple: ensure global platforms remain secure, low-latency, and cost-effective while building the next generation of engineers who can do the same. Core Tech Stack: Cloud: AWS (EKS, EC2, S3, RDS), Azure Tools: Kubernetes, Docker, Terraform, Ansible, Akamai, Jenkins Monitoring: Dynatrace, Prometheus, Grafana, Splunk, PagerDuty Languages: Python, Shell/Bash

Location

Noida

Work experience

DevOps Engineer - Associate L2 at Publicis Sapient, Apr 2025 - Present · 1 yr 1 mo, Noida, • Reduced monthly AWS expenditure by 68% ($145k down to $45.6k) by leading a Cloud FinOps initiative that optimized infrastructure resources across Dev, QA, Pre-Prod, and Prod environments. • Achieved zero-downtime during deployment windows by orchestrating traffic steering via Akamai to standby servers, ensuring seamless updates and uninterrupted service for the booking platform. • Enhanced environment stability and rollback reliability by implementing a strict Docker image-tagging and versioning strategy, streamlining containerized deployments for the HVMI ecosystem. • Reduced transaction failure rates by conducting deep-dive log analysis on booking and cancellation telemetry, identifying technical root causes and providing actionable feedback to the product team. • AWS (EC2, S3, RDS), Docker(Versioning/Tagging), Kubernetes (EKS), Akamai CDN, Terraform, Jenkins, Python, Patching activity, Certificates, Cloud FinOps (Cost Optimization), Zero-Downtime Deployments, Log Telemetry(Traffic Steering).

DevOps Engineer - Associate L1 at Publicis Sapient, Nov 2022 - Apr 2025 · 2 yrs 6 mos, Gurugram, • Ensured 99.9% site availability for luxury brands (YSL, Aesop, Lancôme, Kiehl's, Kérastase) by implementing auto-scaling policies and traffic shedding strategies to handle massive surges during peak sale events. • Minimized revenue loss from failed transactions by engineering real-time observability dashboards to detect and resolve order placement bottlenecks and checkout flow interruptions. • Optimized visual consistency and user experience by automating CDN cache invalidation and integrity checks for product assets, ensuring high-resolution order images remained available globally. • Reduced Mean Time to Recovery (MTTR) during site outages by standardizing a P1 incident response playbook for the APAC region, facilitating rapid cross-functional coordination during critical sale windows. • AWS (EC2, Auto Scaling), Akamai CDN, Dynatrace, Splunk, Kubernetes, Docker, Jenkins, Site Availability (99.9%), Peak Sale Scaling, Real-time Observability.

DevOps Engineer - Associate at Publicis Sapient, May 2022 - Nov 2022 · 7 mos, Gurugram, • Maximized high-availability for national retail operations by managing the end-to-end incident lifecycle for the mission-critical grocery billing ecosystem, maintaining 99.9% uptime for POS and e-commerce transaction pipelines. • Reduced Mean Time to Resolution (MTTR) for P1/P2 outages by orchestrating real-time technical response via ServiceNow, rapidly diagnosing root causes in the order placement flow to prevent revenue loss during peak retail windows. • Enhanced production stability and observability by performing deep-dive forensic analysis on billing telemetry and error logs, identifying recurring systemic bottlenecks and providing architectural feedback to improve application resilience. • Streamlined deployment reliability for distributed retail nodes by collaborating with cross-functional teams to validate patches and configuration changes, ensuring seamless updates to POS systems across nationwide store environments. • Splunk, ELK Stack, ServiceNow, Jira, Confluence, Linux/Unix, Bash Scripting, MTTR Optimization, High-Availability POS Systems, Incident Lifecycle Management, LaunchDarkly, PagerDuty

Software Engineer at Jio, Jan 2022 - Apr 2022 · 4 mos, Navi Mumbai, • Optimized HR decision-making processes by developing a Python-based text analytics engine to categorize raw employee feedback and support tickets. • Streamlined data-driven predictions by implementing machine learning models to identify recurring workplace issues, enhancing department response accuracy. • Improved data reliability for a core HR product by engineering automated cleaning and preprocessing pipelines for large-scale unstructured text datasets. • Python, Text Analytics, Machine Learning, Data Science, Pandas, NumPy, Scikit-learn.

Machine Learning Intern at iNeuron.ai, Nov 2020 - Feb 2021 · 4 mos, Bengaluru, Karnataka, India

Machine Learning Intern at Technocolabs, Sep 2020 - Oct 2020 · 2 mos, Indore, Madhya Pradesh, India

Education

Bachelor of Technology - BTech, Computer Science, Maharaja Ranjit Singh Punjab Technical University (MRSPTU), Bathinda