Thejazeto L.

Senior Software Engineer

Bengaluru, Karnataka, India6 yrs 7 mos experience

AI ML PractitionerHighly Stable

Key Highlights

Expert in building scalable microservices architectures.
Strong background in Linux kernel development and debugging.
Proficient in AWS and cloud-based solutions.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in cloud infrastructure and microservices.

Contact

thejazeto.lhousa@samsara.com LinkedIn

Skills

Core Skills

GraphqlAmazon Web Services (aws)Linux KernelDesign PatternsMicroservicesJavaAlgorithmsData StructuresSpring Boot

Other Skills

DebuggingGo (Programming Language)Protocol BuffersgRPCDistributed SystemsKernel DriversKernel DebuggingNvmeNVMe Over Fabrics (NVMeOF)Fibre ChannelPythonCC++PhotoshopLinux

About

🧑🏻‍💻

Experience

6 yrs 7 mos

Total Experience

2 yrs

Average Tenure

1 yr 5 mos

Current Experience

Samsara

Senior Software Engineer

Jan 2025 – Present · 1 yr 5 mos · Bengaluru, Karnataka, India · Hybrid

GraphQLAmazon Web Services (AWS)

Pure storage

Member of Technical Staff - IV

Jan 2022 – Jan 2024 · 2 yrs · Bengaluru, Karnataka, India

Platform engineering
Kernel I/O team
Core OS team
Keywords: Linux | Kernel | Drivers | Operating Systems | Docker | Jenkins | Jira | Fibre Channel | Flash storage | Block and object storage | Interviewing

Design PatternsLinux Kernel

Amazon

2 roles

Software Development Engineer - II

Dec 2021 – Nov 2022 · 11 mos · Bengaluru, Karnataka, India

Keywords: Micro services | Java | AWS | SQL | NoSQL | ETL | Dynamodb | Apache Spark | Batch/stream processing | Ruby | High scale | High availability | Mentoring | High level design HLD | Low level design LLD

Design PatternsDebuggingMicroservicesJava

Software Development Engineer - I

Oct 2019 – Nov 2021 · 2 yrs 1 mo · Bengaluru, Karnataka, India

Amazon Transportation Services
Building the cost allocation platform to accurately reflect the actual economics of the Amazon transportation, globally. To better inform operational and profit intelligence decisions. Allocation of transportation costs to the items shipped using algorithms that are far from trivial and involving deep business understanding and tech acumen. This data affects the profitability computation for Amazon, to accurately charge businesses for their expenses, and impacts product selection.
Building highly scalable systems to compute cost of transportation for every item shipped by Amazon. Handling systems and services that process tens of thousands or requests per second and make decisions to pay billions of dollars a year and ensure that transportation's liabilities and revenues are correctly accounted for.

Design PatternsDebuggingAlgorithmsData Structures