6 publicaciones de empleo destacadas de full stack developer en tlalpan cdmx (¡Están contratando!)

Senior Platform Engineer
DXC Technology —Ciudad de México, CDMX
- Oracle
- JavaScript
- Presencial
2509M Remote HubSpot Front-end Developer (up to USD1,300/month)
GKA —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- JavaScript
- HTML
Postulación rápida
Senior Full-Stack Developer / AI Specialist (Full-Time / On-Call)
Growmodo GmbH —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- DevOps
- Inglés
- JavaScript
Postulación rápida
Senior Payments Engineer — Acquiring & Payment Processing
Sezzle —Ciudad de México, CDMX
- $5,000 a $9,500 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- SQL
DE- Senior Java Developer EY GDS
EY —Miguel Hidalgo, CDMX
- Microsoft Powerpoint
- Microsoft Excel
- Administración de personal
Full Stack Developer - Mexico Residents
Arcadion —Colonia Polanco, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Inglés
- Licenciatura
Postulación rápida

Related jobs to explore

Based on your search for full stack developer

Database Developer SQL Server + Full Stack
Panxea —Ciudad de México, CDMX
Te parece esta: Una base de datos SQL Server presenta lentitud y uno de los procedimientos almacenados críticos pasó de ejecutarse en 5 segundos a tardar más de…
$20,000 a $25,000 por mes
Postulación rápida
1h
Full Stack Developer/AI Engineer
WPP —Ciudad de México, CDMX
AI/ML Specialization: At least 3 years of dedicated experience specifically with AI/ML systems, agentic frameworks, or intelligent automation technologies.
13d

Quiero recibir la alerta de empleo más reciente para full stack developer en tlalpan cdmx

Al ingresar a tu cuenta, aceptas las Condiciones del servicio de SimplyHired y das tu consentimiento a nuestra Política de privacidad y Cookies.

Explorar empleos en más ubicaciones

full stack developer jobs near tlalpan cdmx

Empleos de Full Stack Developer en Ciudad De México

Empleos de Full Stack Developer en Desde Casa

Empleos de Full Stack Developer en Tijuana, B.c.

Empleos de Operador Utc Rabon, Torton, Full, Trailer en León, GTO.

Empleos de Full Stack Developer en Ciudad Juárez, Chih.

Empleos de Software Engineer en La Paz, B.c.s.

Empleos de Qa Engineer en Ciudad De México

Empleos de Platform Engineer en Guadalupe, N. L.

Empleos de Infrastructure Engineer en Ciudad De México

Empleos de Senior Java Developer en Colonia Polanco, CDMX

Empleos de Senior Java Developer en Monterrey, N. L.

Empleos de Java Remoto en Desde Casa

Empleos de Java en Toluca, Méx.

Empleos de Full Stack Developer en Aguascalientes, AGS.

Empleos de Full Stack Developer en Rosarito, B.c.

Empleos de Operador Full en Veracruz

Empleos de Java Web Developer en Ciudad De México

Empleos de Business Developer en Ciudad De México

Empleos de Front End Developer en Residencial De Santa Catarina, N. L.

Empleos de Front End Developer en Ciudad De México

Senior Platform Engineer

DXC Technology -
Ciudad de México, CDMX

Postúlate ahora

Información del empleo

Cualificaciones

Modelos de inteligencia artificial
Oracle
Node.js
Derecho
React
Kubernetes
.NET Core
C#
Microsoft SQL Server
.NET
Diseño de base de datos
Pandas
Docker
JavaScript
PostgreSQL
Redis
RabbitMQ
Redux
Angular
Kafka
GraphQL
RDS
Jenkins
TypeScript
Python

Descripción completa del empleo

Job Description:

Required Technical Skills

C# / .NET Core 8+ – deep understanding of the existing backend; required to assess, refactor, and migrate to modern architecture
Python – modern backend development, AI/ML integration, data pipelines, automation scripting, and rapid prototyping of replacement services; required across all three roles
JavaScript / TypeScript – full-stack capability for modern service development, API layers, and Node.js tooling
JSON – schema design, API contracts, configuration-as-code, LLM function calling specifications, structured data interchange
Markdown – documentation-as-code: ADRs, AI constitutions, specification documents, runbooks
Docker / Kubernetes (EKS) – containerised deployment and orchestration; Helm charts and CI/CD pipelines (Jenkins / GitLab)
Database engineering – SQL Server, Oracle RDS, and modern alternatives (PostgreSQL, columnar stores such as ClickHouse); stored procedures, query optimisation, and schema migration
Data modelling & analysis – designing data schemas for the replacement platform; understanding costing WBS trees, commodities, elements, and financial factors; data quality frameworks and analytical pipelines
GitHub Copilot and Claude Code – AI-first development as the default working mode, not an optional add-on
LLM integration – using AI models to replace rigid business logic with intelligent, adaptable solutions
API-first design – RESTful, GraphQL, and event-driven patterns for loosely-coupled architectures

Advantageous Skills

Platform migration / replatforming – strangler fig pattern, parallel running; experience shipping large-scale migrations
Event streaming – Kafka, EventBridge as replacement strategies for complex Saga chains
Redis, RabbitMQ / MassTransit – understanding current patterns to inform migration strategy
ClickHouse or modern analytics alternatives – columnar analytics for costing and reporting data
Frontend frameworks: Angular 2+, React / Redux (awareness level is sufficient)
Python data analysis libraries – pandas, SQLAlchemy for data exploration and migration validation

AI-First Cognitive Requirements

Evaluative judgment – ability to distinguish plausible AI-generated code from correct code; in high-stakes pricing logic, never self-certify money through AI alone
Specification precision – ability to articulate precise intent, edge cases, and constraints before AI generates code; quality of specification determines everything downstream
Collaborative scepticism – working productively with AI as a collaborator you direct and challenge, not a tool you wield or an oracle you trust
Constitution-building mindset – encoding failures as permanent constraints; maintaining Architecture Decision Records (ADRs) that capture why decisions were made, not just what was decided
Data-first verification – the instinct that AI is only as good as the data it works from; verifying data quality at every system boundary before trusting AI outputs

Key Responsibilities

Assess and decompose the existing 34-microservice architecture to identify simplification and replacement opportunities
Design and build next-generation backend services using modern Python / TypeScript stacks with LLM-augmented business logic
Own database architecture redesign – migrating from Oracle RDS / MSSQL to modern schemas (PostgreSQL, event stores) that are AI-queryable and analytics-ready
Build data quality frameworks and validation pipelines that ensure AI systems work from reliable, well-structured data
Replace rigid Saga / Orchestrator chains with AI-driven workflow engines and simpler event-driven patterns
Develop LLM-powered solutions to replace hard-coded costing rules, financial calculations, and allocation logic
Operate in the Intent Generate Verify Decide Document loop, owning decisions on irreversible, money-touching, or outward-facing logic
Build migration pathways (strangler fig, parallel running) to transition from legacy to modern architecture without service disruption
Performance tuning and observability using Grafana, Kibana, and the ELK stack

Knowledge Transfer & Key-Person Risk Mitigation

This role is responsible for reducing its own bus factor. Concrete expectations:

Pair regularly with the existing DB specialist to transfer backend architecture and data modelling knowledge; document all schema decisions in Markdown-based ADRs
Run fortnightly architecture clinics with the wider team covering Onion Architecture, DDD patterns, and database design for the new platform
Maintain living runbooks so that every critical backend process can be operated or debugged by at least one other team member within 60 days of joining
Contribute to CLAUDE.md-style AI constitutions encoding pricing logic constraints and data quality rules, ensuring institutional knowledge lives in the system, not just in heads
Cross-train at least one frontend developer on backend API design and Python data pipelines within the first 6 months

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.

Postúlate ahora

Refina tu búsqueda

full stack developer empleos en tlalpan cdmx

Senior Platform Engineer

2509M Remote HubSpot Front-end Developer (up to USD1,300/month)

Senior Full-Stack Developer / AI Specialist (Full-Time / On-Call)

Senior Payments Engineer — Acquiring & Payment Processing

DE- Senior Java Developer EY GDS

Full Stack Developer - Mexico Residents

Related jobs to explore

Quiero recibir la alerta de empleo más reciente para full stack developer en tlalpan cdmx

Related Searches

Explorar empleos en más ubicaciones

Required Technical Skills

C# / .NET Core 8+ – deep understanding of the existing backend; required to assess, refactor, and migrate to modern architecture

Advantageous Skills

Platform migration / replatforming – strangler fig pattern, parallel running; experience shipping large-scale migrations

AI-First Cognitive Requirements

Evaluative judgment – ability to distinguish plausible AI-generated code from correct code; in high-stakes pricing logic, never self-certify money through AI alone

Key Responsibilities

Assess and decompose the existing 34-microservice architecture to identify simplification and replacement opportunities

Knowledge Transfer & Key-Person Risk Mitigation

This role is responsible for reducing its own bus factor. Concrete expectations:

Herramientas para candidatos

Herramientas para empresas

Explorar

Mantente conectado