20 publicaciones de empleo destacadas de python developer en xochitenco méx. (¡Están contratando!)

Senior Software Development Engineer
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. - D44 —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Informática
- Java
Sr. Okta IAM Architect
NTT Ltd —Ciudad de México, CDMX
- Administración de personal
- Informática
- Java
Advisory Solutions Architect
MongoDB —Ciudad de México, CDMX
- Azure
- Experiencia en ventas
- DevOps
- Permiso de maternidad y paternidad
Lead Software Engineer - Full Stack Engineer
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Azure
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- Maestría
Senior Software Engineer, Chrome Test Infrastructure
Google —Ciudad de México, CDMX
- Doctorado
- Informática
- Inglés
Software QA Analyst
Verifone —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Administración de personal
Postulación rápida
Senior Software Engineer, Iris AI
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Licenciatura
- Seguro de vida
Senior Software Engineer (Mexico)
Sezzle —Ciudad de México, CDMX
- $5,000 a $9,500 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- Java
Senior Software Engineer
Zendesk —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Tech Lead Full Stack Laravel
Selection Book —Ciudad de México, CDMX
- Español
- Azure
- DevOps
Senior Manager, Software Engineering (People Leader)
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Azure
- Administración de personal
- Java
Consultor Snow Flake Senior
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- DevOps
Postulación rápida
Product Security Engineer
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
- Seguro de vida
5d
Business Analyst (Pre-Sales & Delivery)
TechBiz Global GmbH —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- PMP
- Licenciatura
Postulación rápida
Senior Software Engineer
EarnIn —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Liderazgo
- Python
Postulación rápida
Application Security Engineer
Bain & Co. —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- Licenciatura
Postulación rápida
Senior Software Engineer: AI Discovery and Posture
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Java
- Seguro de vida
10d
Senior Data Analyst
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Experiencia en ventas
- Seguro de vida
13d
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
Ingeniero DevOps
Orion Innovation —Ciudad de México, CDMX
- Azure
- DevOps
- Ingeniería
Postulación rápida
14d

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Senior Software Development Engineer

Servicios Comerciales Amazon Mexico S. de R.L. de C.V. - D44 -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo

Cualificaciones

Kotlin
Administración de personal
Informática
C#
Java
SQL
C++
Apache Flink
Licenciatura
JavaScript
Perl
Desarrollo de software
S3
Kafka
Redshift
DynamoDB
Python

Descripción completa del empleo

DESCRIPTION

At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.

ABOUT THIS ROLE
As a Senior Software Development Engineer on the Fraud Defense Engineering team, you will be at the forefront of protecting Audible's ecosystem — safeguarding creators, listeners, and customers from fraud and abuse across all global marketplaces. You'll design and build intelligent detection systems, investigation platforms, and automated enforcement capabilities that operate at scale. This is a high-impact role where your technical decisions directly protect the integrity of our business and the trust of millions of customers worldwide.
You'll drive the team forward — anticipating threats before they materialize, innovating on detection approaches, and leading the way to develop original, effective solutions. We'll support you with the latest technologies, tools, and systems you need to succeed.

ABOUT THE TEAM
The Fraud Defense Engineering team sits within Audible's inSpire organization. We build the tooling, platforms, and automated systems that protect the integrity and trustworthiness of Audible's business. Our primary focus areas include:

Creator Fraud — detecting and preventing fraudulent content and manipulation of royalty systems
Anti-Piracy — engineering protections against unauthorized distribution and content theft
Consumer Fraud — identifying and mitigating account abuse, payment fraud, and promotional exploitation

We are also experts in ensuring that Audible meets its data handling and customer privacy obligations across all marketplaces. Joining our team provides the unique challenge and opportunity to deliver software that benefits customers around the world.

ABOUT YOU
You're in your element when you're being challenged, and you're always eager to share your ideas, take on responsibility, and keep developing at an exciting pace. You show initiative, set your standards high, and see every failure as an opportunity to learn. You're looking for an environment where you can thrive, influence technical direction, and help your team reach their potential.

As a Senior Software Development Engineer, you will...

Independently lead complex technical initiatives within the fraud defense domain
Design and build scalable fraud detection systems, such as rule engines, ML-based anomaly detection, and risk scoring pipelines
Architect real-time and batch data processing systems to aggregate fraud signals across multiple marketplaces
Adapt and Build investigation and case management tools that empower internal operations teams
Partner with data scientists, product managers, and policy teams to define enforcement strategies
Mentor and support other developers by cultivating curiosity and deep technical understanding
Write technical design documents and drive alignment across teams
Establish and follow good engineering practices, balancing speed of enforcement with customer experience
Collaborate effectively across time zones with distributed teams

ABOUT AUDIBLE
Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.

A day in the life

BASIC QUALIFICATIONS

3+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience, or Bachelor's degree in computer science or equivalent
Bachelor's degree or above in computer science, computer engineering, or related field, or experience from a technical internship
1+ years of experience with AWS technologies at scale in a production environment (e.g., Lambda, DynamoDB, SQS, Kinesis, S3, Step Functions)
Experience building and operating near-real-time data processing systems
Proficiency in one or more programming languages such as Java, Python, or Kotlin
Experience with SQL and query engines like Athena or Redshift
Experience with agentic development and design patterns

PREFERRED QUALIFICATIONS

Experience in Trust & Safety, Abuse Prevention, Anti-Fraud, or Risk Engineering domains, with a track record of delivering customer-driven software products at high scale in a fast-paced, technology-first environment
Experience building fraud detection systems — including rule engines, ML-based anomaly detection, behavioral modeling, and risk scoring — with knowledge of AWS SageMaker for ML model deployment
Experience with graph-based analysis for identifying fraud rings, coordinated abuse, or account linking, and familiarity with digital rights management (DRM) or anti-piracy technologies
Proficiency in building data pipelines at scale (ETL/ELT) for aggregating signals across multiple data sources, with hands-on knowledge of PySpark, EMR, and Glue for large-scale data processing
Familiarity with streaming architectures (Kafka, Kinesis, Flink) for near real-time event processing and alerting
Experience with privacy-preserving engineering practices, including data anonymization, GDPR/CCPA compliance, and PII handling
Demonstrated ability to take a lead role in delivering complex software systems, influencing technical direction without direct authority, and navigating complex and ambiguous problem spaces
Experience collaborating across time zones and with geographically distributed teams, working effectively in cross-functional environments

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.

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