Bengaluru Karnataka Data science engineer (infrastructure & network analytics) Jobs – 132 Open Jobs Today

Systems Development Engineer, Selling Partner Solutions Storefront
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Tesco India —Bengaluru, Karnataka
- Full-time
- Communication skills
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Consulting-HC-IIO-HC Forward-Cloud architect
Deloitte —Bengaluru, Karnataka
- Azure
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Senior Software Engineer
Microsoft —Bengaluru, Karnataka
- Full-time
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Credit Saison —Bengaluru, Karnataka
- Full-time
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ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Microsoft Excel
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- Master's degree
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Senior AI & ML Engineer
Nexthink —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
- Health insurance
- Paid time off
Quick apply
Manager | GCP DevOps | Bengaluru | Engineering
Deloitte —Bengaluru, Karnataka
- Computer Science
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- Bachelor's degree
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Data Scientist , Sidewalk
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Master's degree
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GHX —Bengaluru, Karnataka
- Computer Science
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Sr. Backend Engineer
CrowdStrike —Bengaluru, Karnataka
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GHX —Bengaluru, Karnataka
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Security Analyst
Infor —Bengaluru, Karnataka
- Full-time
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ALSTOM —Bengaluru, Karnataka
- Full-time
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ProArch —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Computer Science
- Windows
Quick apply
1d
AI DevOps Engineer
Dicetek LLC —Bengaluru, Karnataka
- Azure
- Computer Science
- Master's degree
Quick apply
Environmental Engineering III
AECOM —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Microsoft Access
- Microsoft Office
- Master's degree
- Health insurance
- Paid time off

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Systems Development Engineer, Selling Partner Solutions Storefront

ADCI - Karnataka -
Bengaluru, Karnataka

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Job details

Full-time

Qualifications

CI/CD
Computer science
Rust (programming language)
Go
Data structures
C#
Build automation
.NET
Java
OOP
AWS
C++
C
Distributed systems
Scala
Continuous integration
Ruby
DynamoDB
Python
Design patterns

Full job description

DESCRIPTION

Selling on Amazon is one of the fastest growing businesses at Amazon.com, with more than 50% of all items currently sold originating from third-party sellers. Our team's vision is to offer next generation systems that enable Amazon and third-party solutions providers to innovate rapidly for millions of Selling Partners worldwide, helping them automate and scale their Amazon businesses.

We are looking for a passionate engineer who thrives on building systems that make teams more effective. You will own the full engineering lifecycle — from design through deployment and operations — building production-grade systems, data pipelines, and automation frameworks that operate at scale across distributed AWS services. You will write code held to Amazon Code Bar standards, working across Java, Python, and Scala to deliver solutions where no prior playbook exists.

Key job responsibilities

Design and build automation systems that consolidate and orchestrate actions across multiple services, including listing pipelines, search infrastructure, and data processing workflows
Engineer CDK-based infrastructure for multi-region deployments, supporting RegionFlex initiatives
Develop automated integration testing and set up fully automated deployment pipelines (CI/CD) to eliminate risk of service degradation
Build and maintain data pipelines using Lambda, DynamoDB, and other AWS-native services, enabling data-driven decisions through dashboards and analytics
Create proactive monitoring with fail-fast alerting across mission-critical jobs to ensure data quality and pipeline reliability
Reduce operational toil through force-multiplier tooling and infrastructure automation
Proactively identify systemic issues and engineer solutions that prevent future support volume rather than addressing symptoms
Participate in on-call rotations, conduct root cause analysis, and contribute to Correction of Error (COE) reviews
Collaborate closely with Software Development Engineers, contributing to design reviews and code reviews with substantive technical feedback
Create documentation including design documents, runbooks, and operational procedures

A day in the life
You start each day reviewing operational cases/alerts and pipeline health across mission-critical services — ensuring uninterrupted customer experiences. You join daily stand-ups with SDEs to coordinate sprint work and unblock dependencies.

Most of your time is spent building: writing production-grade Java or Python to automate deployment workflows, standing up CDK infrastructure for Lambda functions and DynamoDB tables, and engineering data pipelines that power the Solution Storefronts. You own what you build — from low-level design through deployment and operations.

You collaborate with SDEs on the team who own product features, partner teams who consume your infrastructure, and leadership who rely on your automation to accelerate feature delivery. Your end customers are Amazon's Selling Partners and Solution Providers — the systems you build ensure a reliable, performant marketplace experience.

You also reduce operational toil through automation and improved runbooks, participate in on-call rotations, and contribute to root cause analyses and COE reviews.

About the team
The Selling Partner AppStore and Service Provider Network (SPAN) team is dedicated to establishing the most trusted and productive marketplace for third-party business solutions serving Amazon Sellers and Partners. Our mission centers on providing comprehensive frameworks that enable Solution Providers to efficiently manage their entire third-party solution lifecycle, from initial metadata collection through discovery and fulfillment. Through our offerings of the third-party Solution Storefronts — the Selling Partner Appstore and the Service Provider Network — we create a comprehensive ecosystem where Selling Partners can discover applications and services to enhance their Amazon selling experience. By supporting Selling Partners in optimizing their Amazon operations, we contribute to reduced costs and increased selection for Amazon's customers, thereby strengthening the overall Amazon flywheel.

BASIC QUALIFICATIONS

Experience in automating, deploying, and supporting infrastructure
Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis
Experience with CI/CD pipelines build processes

PREFERRED QUALIFICATIONS

Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
Experience with automating and simplifying team development, test, and operations processes
Experience with distributed computing, programs and systems

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Apply Now

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data science engineer (infrastructure & network analytics) jobs in bengaluru karnataka

Systems Development Engineer, Selling Partner Solutions Storefront

Shopfloor Apps Software Engineer - Cloud & Integration

Product Manager ( Data Platforms)

PRINCIPAL R&D/PRODUCT DVL ENGINEER

Principal Software Development Engineer

Consulting-HC-IIO-HC Forward-Cloud architect

Senior Software Engineer

Staff / Principal Data & MLOPs Engineer

Business Intel Engineer II, WWOS Strategy & Planning

Senior AI & ML Engineer

Manager | GCP DevOps | Bengaluru | Engineering

Data Scientist , Sidewalk

Senior Software Engineer - 1630

Sr. Backend Engineer

Manager, Software Engineering - 1497

Security Analyst

AI Project Manager

Associate Cloud Specialist

AI DevOps Engineer

Environmental Engineering III

I want to receive the latest job alerts for data science engineer (infrastructure & network analytics) in bengaluru karnataka

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