Ashish Vishal

Software Engineer

Bengaluru, Karnataka, India4 yrs 1 mo experience

Most Likely To SwitchHighly Stable

Key Highlights

Led redesign tripling scalability at Oracle Cloud.
Architected ETL tool improving data synchronization.
Achieved 14% increase in transcoding processing speed.

Stackforce AI infers this person is a Backend Software Engineer specializing in Cloud Computing and Data Engineering.

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Skills

Core Skills

JavaBackend DevelopmentKubernetesInfrastructure AutomationPerformance OptimizationPythonData AutomationMachine LearningData Analysis

Other Skills

AWS EC2Apache KafkaBashBehavior-Driven Development (BDD)C++Cascading Style Sheets (CSS)Cloud ApplicationsCommunicationData analystDatastructure and algorithmsDebuggingDevOpsDigital Image ProcessingDockerDropWizard

About

I’m a Backend Software Engineer with 3+ years of experience designing and building high-performance backend systems, microservices, and distributed architectures. Currently, I work at Oracle Cloud Infrastructure (OCI), where I lead the development and end-to-end delivery of scalable cloud-native features and services that process millions of requests daily. My core expertise includes Java, Python, Spring Boot, DropWizard, REST APIs, Kafka, Redis, PostgreSQL, and MongoDB. I’m also skilled in Kubernetes, Docker, Terraform, CI/CD pipelines, Prometheus, and Grafana. I specialize in architecting fault-tolerant, event-driven microservices, optimizing system performance, and automating deployments in cloud environments (OCI, AWS). I’m passionate about backend architecture, distributed systems, and building reliable, scalable solutions that deliver real business impact. Always open to connecting with engineers, architects, and teams looking for Backend Engineers, Software Development Engineers (SDE), or Distributed Systems Engineers to tackle complex engineering challenges.

Experience

Oracle

Member Of Technical Staff ( SDE 2)

Jun 2022 – Present · 3 yrs 9 mos · Bengaluru, Karnataka, India · On-site

Led technical redesign of Oracle Cloud Migration service, tripling scalability and enabling parallel VM migrations up to 100 VMs per migration while sustaining 99.99% uptime.
Collaborated with 4+ cross-functional teams to gather requirements and developed cloud-native, scalable solutions that ensured seamless synchronization of metadata across multiple cloud providers, driving a consistent and enriched multicloud customer experience.
Developed secure and eﬃcient RESTful APIs using Java, DropWizard, and OpenAPI, facilitating seamless communication between front-end and back-end systems, handling 7.7M daily requests
Designed and Implemented an automated permission model pipeline for Kubernetes-deployed services, utilizing OCI IAM service, RBAC, Helm charts, and Terraform to streamline access management and development workﬂows, reducing manual intervention by 80%.
Led load testing efforts using JMeter, Gatling, Java and Python simulating up to 1,000 concurrent users, which resulted in a 65% improvement in system scalability and a 42% reduction in task completion time by implementing weighted round-robin algorithms.
Applied Behavior-Driven Development (BDD) practices and employed comprehensive testing strategies, including unit, integration, system, and regression tests, achieving 90% code coverage to ensure software quality and maintainability.

JavaSpring BootDropwizardTerraformDockerBackend Development+19

Vahan

Software Developer

Feb 2022 – Jun 2022 · 4 mos · Remote

Architected, implemented and deployed an ETL tool on AWS EC2 instances enabling timely synchronization of data from Google Sheets to a PostgreSQL database.
Optimized complex PostgreSQL queries, integrated Redash for real-time data visualization, enabling dynamic analytics for daily business operations. Achieved 90% reduction in query execution times, signiﬁcantly improving database performance and overall application responsiveness.

Python (Programming Language)KubernetesDockerPostgreSQLSeleniumpandas+10

Oracle

Member Of Technical Staff

May 2021 – Jul 2021 · 2 mos · Bengaluru, Karnataka, India

Performed comprehensive data analysis on video and audio transcoding, achieving a 14% increase in processing speed while maintaining media quality. Leveraged FFmpeg for efficient transcoding workflows. Developed a highly accurate predictive model (99.2%) for transcoding times, trained on OCI Compute instances using advanced statistical methods, machine learning algorithms, and shell scripting to automate processes.

Python (Programming Language)MicroservicespandasOCIMachine LearningShell Scripting+8