Software Engineer Ii

Ajay Moodambikana

*********@*****.*** LinkedIn Github Buffalo, NY, USA 716-***-****

Software Engineer experienced in designing and managing cloud ecosystems for enterprise-grade platforms Professional Experience

J P Morgan Chase Co.Jan 2020 – Jan 2024

Software Engineer II

● Created an internal continuous integration(CI) tool using CNCF cloud-native buildpacks on top of Kubernetes, reducing build times by 70%

● Integrated the tool with the firm-wide CI/CD tool Jenkins using Groovy based extensions, facilitating container based application onboarding, adoption and workflow efficiency improvement

● Automated AWS(public cloud) resource deployment using the Infrastructure as Code(IaC) tool Terraform to support development and testing of cloud-native buildpacks, improving build validation workflows and reducing manual setup overhead

● Managed on-prem Kubernetes clusters to handle the workloads of application deployment teams

● Worked within a cloud platform team that followed Agile methodologies for Sprint management

● Developed Python-Django and SpringBoot-Maven based products to meet Service Level Agreements (SLAs) for cloud services, ensuring 99.999% uptime across 100+ clusters(VMWare Cloud)

● Integrated Prometheus for automated metric collection and Grafana for real-time monitoring, enabling visualization of downtime patterns and regional performance trends

● Designed and implemented Dynatrace monitoring integrations for Docker and Kubernetes workloads, improving system visibility and supporting firm-wide cloud-native adoption efforts

● Collaborated with SRE and platform teams to improve infrastructure deployment workflows using Ansible playbooks and Terraform modules, increased automation with shell scripts

● Skills: Java, Python, Jenkins, Kubernetes, Docker, Shell Scripting, Bash, Terraform, Ansible, Prometheus, Grafana, Git, Github

Projects

Text chat application Jan 2024 – May 2024

● Developed an application to model client server interactions using Linux sockets API

● Designed support system for multiple clients, ensuring robust message handling and resource management

● Implemented shell type features to enable login, refresh and a display of other clients as functionalities

● Skills: C, Make/CMake, TCP/IP, SSH, HTTPS, DNS, DHCP, Network principles, Linux sockets Machine Learning Projects Aug 2024 – Dec 2024

● PyTorch CNNs: Designed convolutional neural networks (CNNs) using PyTorch for image classification tasks. The models were trained on the University at Buffalo’s HPC clusters using Slurm jobs

● Skills: Python, Slurm, CNNs, ML, RL, LLMs, Adversarial Machine Learning, Prompt Engineering Education

● The State University of New York, Buffalo Jan 2024 – June 2025 M.S in Computer Science and Engineering

Courses: Modern networks, Operating Systems, Database Systems, Algorithms, Computer Architecture Presentations and Certifications

● Presented about cloud native buildpacks at PlatformCon 2023 June 2023

● Certified Kubernetes Administrator, issued by The Linux Foundation May 2021 – May 2024

● Certified Kubernetes Application Developer, issued by The Linux Foundation May 2021 – May 2024

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