Tarun Kumar

Software Engineer

Bengaluru, Karnataka, India6 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable distributed systems.
Proficient in Python and Kubernetes integration.
Strong background in optimizing resource usage.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in SaaS and distributed systems.

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Skills

Core Skills

KubernetesDistributed SystemsC++

Other Skills

PythonGitComputer NetworkingJava(basic)ElasticsearchPython (Programming Language)Android DevelopmentJavaSQLMySQLMachine LearningProgrammingData StructuresAlgorithmsOperating Systems

About

I have experience in building highly scalable and available products. I am skilled in C, C++, Python, Kafka, ElasticSearch, Kubernetes, Microservices, and REST APIs.

Experience

6 yrs 10 mos

Total Experience

2 yrs 3 mos

Average Tenure

3 yrs 7 mos

Current Experience

Oracle

Senior Member of Technical Staff

Oct 2022 – Present · 3 yrs 7 mos

Working for Cluster Health Monitor/OS(CHM) team in autonomic computing group, a part of Oracle Real Application Clusters(RAC). CHM is a resource-constrained, High available, distributed application that collects, processes, and stores node-specific metrics and helps in diagnosing node evictions, hangs in online and offline mode.
Expertly integrated the CHM product with Oracle AHF, showcasing proficiency in Python programming.
Applied strengths in software application design to craft innovative solutions aligned with business needs, all implemented using Python.
Actively collaborated with cross-functional teams to refine product functionality, optimize usage, and enhance overall performance.

PythonDistributed SystemsKubernetes

Cisco

Software Engineer II

Jul 2021 – Oct 2022 · 1 yr 3 mos · Bengaluru, Karnataka, India

> Built a distributed scheduling framework Sensei-Genie which helps in horizontally scaling the system and running tasks dynamically thus by optimizing Kubernetes resources.
> Intelligent scheduling of jobs in a distributed system with optimized resource usage and auto-scaling capabilities by feeding back the performance metrics
> Played a key role in integrating Network Insights Advisor and Network Assurance Engine applications and providing infrastructure for smooth transition of the new services and use cases.
> Took numerous initiatives for enhancing the infrastructure by implementing libraries and maintaining performance metrics to increase the scalability of the application and making the services highly available.
> Ensured quality of the product by owning the modules and troubleshooting and resolving plenty of high-priority customer escalations and release gating issues.

KubernetesGitDistributed Systems