Tauseef Mohiuddin Mohammed
Cloud Engineer @ Mastercard
About
Location: Chicago, IL | Email: mohiuddin.tauseefm@gmail.com As a Cloud and DevOps Engineer, I don’t just automate tasks, I architect reliability. My passion lies in taking complex, friction-heavy deployment processes and transforming them into sleek, "zero-touch" pipelines that empower development teams to ship code without fear. I thrive at the intersection of infrastructure automation, security compliance, and system observability. Throughout my career, I’ve focused on one core mission: eliminating downtime and technical debt through rigorous engineering. Whether orchestrating Kubernetes clusters for fintech giants or designing serverless frameworks for high-volume data ingestion, I approach every challenge with a focus on cost-efficiency and performance. What I bring to the table: 1. Impact-Driven Engineering: At Mastercard, I optimized cloud resources to reduce infrastructure spend by $12,000 monthly and slashed build-to-deployment cycles from 45 to 12 minutes, enabling rapid hotfixes without service interruption. 2. Scalable Architecture: I have designed serverless ingestion frameworks capable of handling 2 million daily records with zero downtime and managed microservices supporting thousands of internal users. 3. Security-First Mindset: From fortifying Kubernetes clusters against PCI-DSS standards to integrating SonarQube and Vault into pipelines, I believe security should be an enabler, not a bottleneck. 4. Automation Expertise: I specialize in Infrastructure as Code (Terraform, Ansible) to reduce provisioning times from days to hours, ensuring environments are consistent, compliant, and ready for scale. My background spans both AWS and Oracle Cloud ecosystems, backed by AWS Solutions Architect and DevOps Engineer Professional certifications. I am deeply proficient in Terraform, Kubernetes, Jenkins, and Python, always looking for the next opportunity to leverage these tools to solve critical business problems. I am driven by the challenge of building systems that are robust enough to handle peak loads yet flexible enough to evolve with the business. If you are looking for a partner to elevate your cloud strategy or streamline your DevOps culture, let’s connect. Core Tech Stack: 1. Cloud: AWS (Lambda, RDS, EC2), Oracle Cloud Infrastructure (OCI), Azure 2. DevOps: Terraform, Ansible, Docker, Kubernetes (EKS/OKE), Jenkins, GitHub Actions 3. Observability: Datadog, Splunk, Prometheus, Grafana 4. Security: IAM, OPA Gatekeeper, DevSecOps, PCI-DSS Compliance
United States
Chicago
Information Technology & Services
Zero Trust Architecture, API Gateway Management, Microservices Architecture, Service Mesh (Istio / Linkerd), Tokenization & Data Protection, PCI DSS Compliance, Encryption at Rest & In Transit, Blue-Green Deployments, Canary Releases, Cloud Cost Optimization, Root Cause Analysis, Incident Management, GitOps, Chaos Engineering, Performance Testing, Redis, DynamoDB, Amazon Relational Database Service (RDS), Scalability, Fault Tolerance
Experience

Cloud Engineer
Illinois, United States
● Engineered immutable infrastructure modules using Terraform and Ansible to provision payment gateway environments, reducing monthly cloud infrastructure spend by $12,000 through optimized resource allocation and spot instance utilization. ● Fortified production Kubernetes clusters against strict PCI-DSS compliance standards using OPA Gatekeeper policies, identifying and remediating 15 critical security vulnerabilities prior to the global platform release. ● Orchestrated multi-stage CI/CD pipelines within Jenkins and GitHub Actions, cutting the average build-to-deployment cycle time from 45 minutes to 12 minutes, enabling the team to ship 3 daily hotfixes without service interruption. ● Instrumented full-stack observability across microservices using Datadog and Splunk, enabling the Site Reliability Engineering (SRE) team to detect and resolve high-severity incidents within 10 minutes of initial alert generation. ● Architected a serverless data ingestion framework using AWS Lambda and Kinesis to process transaction logs, successfully handling 2 million daily records with zero downtime during peak settlement windows.

Cloud Engineer
Illinois, United States
● Constructed scalable container orchestration workflows using Docker Swarm and Bash Scripting to support student lab environments, enabling concurrent access for 150+ students across three advanced cloud computing courses. ● Centralized identity and access management (IAM) protocols for the university research portal using AWS IAM and Active Directory, granting secure, role-based access to 5 distinct research teams while adhering to FERPA data privacy regulations. ● Migrated on-premise legacy databases to Amazon RDS and DynamoDB, ensuring high availability and seamless data retrieval for 3 key academic applications used by faculty for grading and attendance tracking. ● Diagnosed latency bottlenecks within the internal learning management system network layer using Wireshark and VPC Flow Logs, resolving connectivity issues that improved login speeds by 2 seconds per user session. ● Documented comprehensive disaster recovery procedures and architectural diagrams in Confluence, serving as the primary technical reference for 10 incoming graduate assistants to standardize onboarding. ● Mentored undergraduate students on Python automation and cloud fundamentals during weekly technical workshops, directly assisting 25 students in successfully debugging and deploying their final capstone projects.

DevOps Engineer
India
● Standardized infrastructure provisioning across Oracle Cloud Infrastructure (OCI) using modular Terraform code, reducing the environment setup time for new enterprise clients from 5 days to 4 hours. ● Accelerated software delivery by building custom Jenkins pipelines with Groovy scripts, enabling the engineering team to successfully execute 20+ production releases per month with error-free validation. ● Configured real-time system monitoring dashboards via Prometheus and Grafana, detecting memory leaks in Red Hat Linux servers to prevent 3 potential system outages during peak quarterly reporting cycles. ● Automated complex database backup and recovery protocols using Python and Oracle Data Guard, securing over 50 terabytes of mission-critical customer data against corruption or loss. ● Deployed and managed 12 scalable microservices on Oracle Kubernetes Engine (OKE) using Helm charts, maintaining application stability for a user base of 5,000 internal employees. ● Integrated SonarQube code quality gates and HashiCorp Vault for secret management into the build pipeline, eliminating 25 hardcoded credentials and security flaws before production code merges. ● Spearheaded cross-functional sprint planning with developers and QA engineers to align on Jira ticket priorities, ensuring the on-time delivery of 4 major feature updates ahead of the product roadmap schedule.
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