Dec 2023 – Present · 2 yrs 6 mos

• During my career break, I undertook the following initiatives to enhance my professional skill set:
• Completed over 200 LeetCode problems: Improved algorithmic thinking and problem-solving skills.
• Earned over 20 industry-recognized certifications:Expanded knowledge in cloud technologies, cybersecurity, and project management.
• Advanced DevOps and deployment skills:Mastered CI/CD, containerization, and infrastructure as code (IaC).
• Engaged in hands-on projects: Developed and deployed personal and open-source projects, applying theoretical knowledge practically.
• Contributed to open-source communities: Collaborated on projects, refined coding practices, and gained insights from industry professionals.
• Explored emerging technologies: Investigated trends such as AI and machine learning, integrating these insights into my skill set.
• Completed relevant online courses and training: Deepened understanding of advanced topics through structured learning platforms and industry webinars.
• Refined soft skills: Enhanced communication, teamwork, and project management abilities.
• These efforts have equipped me with a robust skill set and positioned me to drive innovation and deliver impactful results in my next role.

Jul 2023 – Nov 2023 · 4 mos · India · Remote

• On -Contract -via Optimum Infosystem
• Orchestrated the commissioning of 30000 servers from the Load Balancing Traffic Manager (LTM) pool, showcasing proficiency in AWS cloud and on-premise environments.
• Diligently maintained system configurations amidst Azure (Az) modifications, demonstrating expertise in kernel-level adjustments and configuration modifications.
• Configured over 3500 servers on Kubernetes and Mesos cluster, serving as the backbone of PayPal's infrastructure, ensuring high availability and scalability.
• Played a pivotal role in upgrading all server infrastructure from Puppet version 4 to version 5, ensuring compatibility with the latest features and security enhancements.
• Implemented a stringent testing regimen for Puppet configurations, utilizing continuous monitoring via Splunk to identify anomalies and rectify deviations.
• Conducted a thorough audit to identify dormant Puppet modules within Puppet Forge and Git repositories, optimizing system resources.
• Executed a comprehensive process involving coding, analysis, and comparison to eliminate redundant modules across nodes, optimizing resource utilization.
• Implemented automated deployment pipelines using Jenkins, GitLab CI/CD, or similar tools to streamline the release process and reduce deployment time.
• Collaborated with cross-functional teams to design and implement disaster recovery plans, ensuring business continuity in the event of system failures or outages.
• Conducted regular performance monitoring and optimization activities to identify bottlenecks and enhance system efficiency and reliability.
• Actively participated in on-call rotations to provide 24/7 support for critical production systems, resolving issues promptly to minimize downtime and impact on business operations.

Jan 2023 – Apr 2023 · 3 mos · India · On-site

• Targeted and configured all the monitoring tools for having 5 9's hit rate of the p1 and p2 of the Gartner revenue generating and critical applications.
• Successfully integrated monitoring tools with new tool into the ecosystem Bigpanda which reduced noise by 70%.
• Cloud : Aws , On Premise , Data Center HostedProgramming tools : Javascript , Python, Bigpanda,Servicenow ,Moogsoft , Monitoring Tools ,Mongodb, Kubernetes ,terraform ,

Nov 2021 – Oct 2022 · 11 mos · India · On-site

• Client : UBER
• As a Technical Specialist at UBER under the esteemed HCL America Inc., my primary responsibility was to uphold the stability and performance of the pivotal systems driving the platform and managing multiple teams and its requirements and operations. I undertook the pivotal task of conceiving and implementing robust monitoring solutions, ensuring the early detection and resolution of potential issues and presenting all data to top leadership.My collaborative efforts with engineering teams facilitated the provision of real-time insights into system health, thereby optimizing application performance. Throughout my tenure at Uber, I championed a data-driven approach, using empirical evidence to make informed decisions that were instrumental in ensuring the seamless operation of the company's services and elevating the overall user experience. In my role, I was unwaveringly dedicated to the maintenance of a reliable and scalable infrastructure.

Aug 2020 – Oct 2021 · 1 yr 2 mos · India · On-site

• Client : FMCNA , Fidelity Internationals
• HCL America Inc.

Aug 2019 – Jul 2020 · 11 mos · India · On-site

• Client: Singapore Exchange (SGX)
• Best practice Team
• Engineered AIOps Integration: Led the deployment of the MOOGsoft MOM layer at SGX, implementing intelligent AIOps solutions to enhance system stability and optimize performance across critical trading systems, establishing new standards for operational efficiency.
• Achieved 90% Deployment Success Rate: Automated deployment processes within the SGX environment, achieving an exceptional 90% success rate in go-live launches. This milestone underscored our commitment to operational stability and rigorous testing, crucial for high-stakes trading platforms.
• Reduced MTTR by 85%: Executed agile methodologies and advanced monitoring solutions, decreasing Mean Time to Recovery (MTTR) to 100 minutes—an 85% improvement. Established responsive alerting systems to address potential issues preemptively, safeguarding uptime and business continuity.
• Enhanced Version Control & Traceability: Instituted GIT for robust version control within the Test Automation Framework, enhancing traceability and framework stability, and aligning development practices with industry-leading standards.
• Optimized CI/CD with SaltStack and SolarWinds: Designed and implemented management and orchestration configurations using SaltStack and SolarWinds at FCMNA, elevating CI/CD efficiency and enabling accelerated, reliable deployment cycles.
• Ensured Uber SaaS Environment Stability: Directed configuration management and troubleshooting for Uber’s SaaS environment, ensuring secure, stable operations through proactive monitoring and adaptive adjustments.
• Core Competencies & Technical Mastery:
• Cloud Proficiency: Expert in AWS, GCP, and on-premises solutions, with a keen ability to optimize cloud resources and infrastructure to align with business imperatives.