DevOps Engineer with 1 year of experience in deploying applications across clouds. Proficient in creating and managing CI/CD pipelines, scalable cloud infrastructures, and automating infrastructure provisioning using tools like Kubernetes.
Overview
2
2
years of professional experience
Work History
DevOps Engineer
Amdocs
PUNE
06.2024 - Current
Deployment of CES and R1 Suite environment from scratch.
Have good understanding of digital products C1/Care/OC/RTB/TC/Britebill as in CES suite we integrate all the BSS products.
Managed integration in CES and R1 Suite environments, incorporating elements from monolithic classic architecture, alongside containerized microservices architecture.
Experience in deploying microservices with Helm charts.
OGS and troubleshooting of issues on CES and R1 Suite environment
Handling and maintaining CES and R1 suite CI/CD pipelines.
Hands-on experience using Jenkins, Bitbucket, Kubernetes, Nexus, and OpenShift.
Automated manual tasks through script development, achieving substantial workload reduction.
Refined deployment processes to accelerate project timelines.
Designed and implemented an automated email notification system for environment release details.
Streamlined CD pipeline operations, achieving 30% enhancement through reduction of manual interventions.
Implemented cost optimization strategies, reducing costs by 60% by scaling down VMs and clusters nightly, and on weekends.
Streamlined the CD pipeline by integrating Elasticsearch for automated retrieval of build parameters, which decreased configuration time from 15 minutes to under 5 minutes per deployment.
Curated and structured Confluence pages with detailed SOPs and technical documentation, enhancing team access to critical project guidelines, while streamlining onboarding processes for new joiners.
Troubleshooting Kubernetes pods when CrashLoopBackOff, ImagePullBackOff, partially running, OOM in pending state, etc.
Analyze and resolve conflicts related to the merging of source code for Git.
Experience in VM director catalogs, templates, Vapps, etc.
Worked with Couchbase, Confluent Kafka, and Cloudera Kafka.
Worked on resolving daily issues in the environment related to config maps, secrets, service bindings, service instances, resource requests, etc.
Machine Learning Intern
Media Exhibitors
Nasik
05.2023 - 07.2023
In this project, our team successfully developed a Face Mask Detector utilizing a powerful combination of technologies, including OpenCV, Pandas, TensorFlow, Keras, and the MobileNetV2 architecture.
This innovative system serves as a real-time face mask detection solution, particularly well-suited for CCTV cameras, to ensure compliance with COVID-19 safety protocols.