10 publicaciones de empleo destacadas de python engineer data domains en madrid, md (¡Están contratando!)

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Security Architect

Ericsson -
Madrid, Madrid provincia

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Detalles del empleo

Cualificaciones

CI/CD
Azure
Informática
Spark
Cifrado
CISSP
Arquitectura del sistema
Inglés
Java
Máster
Arquitectura de microservicios
CEH
AWS
Docker
UAT
Desarrollo de software
Escalabilidad
Cloud
Inteligencia artificial
Python

Descripción completa del empleo

Our Exciting Opportunity

Within Cognitive Software Engineering, we offer the opportunity to collaborate with highly qualified teams all around the world and enable success stories for our customers. As a Security Architect in the System and Technology unit, you will explore, design, and test the proper architecture to enable large-scale, high-performing, distributed cloud-native-based applications. Your knowledge of software architecture will be key to supporting our different applications and customer scenarios, ensuring a smooth transition from development to production and maintenance. You will collaborate with cross-functional teams, including product owners, domain experts, and technical leads, to provide our products with reliability and scalability.

What You'll Do:

Architect and Innovate:

Actively contribute to the system architecture, design, and implementation for our Cognitive Software products.
Analyze and design secure systems, aligning with Ericsson Security Design Rules.
Evaluate impacts, dependencies, and risks for both functional and non-functional requirements.
Stay ahead of technology evolution and drive adaptation within the teams.

Collaborate and Lead:

Work closely with other system architects to enforce common practices and streamline our product suite.
Mentor technical leaders, fostering growth and development.
Demonstrate thought leadership within and outside the product unit.

Ensure Excellence:

Be accountable for delivering the right architecture and implementation that adhere to Ericsson standards.
Align product architecture with security best practices and industry standards.

You will bring:

Educational Background:

Master's degree in Computer Science, Software Engineering, Information Technology & Systems, or a related field.

Professional Experience (8+ years).

Security Expertise:

Deep understanding of security principles, practices, and technologies.
Proficiency in network, cloud, application security, and data protection.
Familiarity with security frameworks and standards (NIST, ISO 27001, CIS, etc.).
Experience with security tools (firewalls, intrusion detection/prevention systems, encryption, vulnerability scanners).
Proven track record in designing and implementing security architectures.
Experience with risk assessment, threat modeling, vulnerability management, and regulatory compliance (GDPR, HIPAA, PCI-DSS).
Preferred certifications: CISSP, CISM, CEH.
Cloud security certifications (AWS Certified Security – Specialty, Azure Security Engineer) are a plus.

Cloud-Native Architecture:

Expertise in cloud-native software architecture principles and patterns.
Proficiency with Docker, Kubernetes, microservices, and event-driven architecture.
Experience leading design phases of cloud-native applications (HLD, LLD, DD, UAT).

Software Development:

Strong programming skills in Python, Java, or Go.
Experience with API design, application security, and secrets management.
Familiarity with CI/CD/CT pipelines and practices.

Data Management:

Skilled in designing scalable and efficient modern data architectures.
Experience handling real-time and batch data at scale using distributed frameworks (Dask, Spark, etc.).
Knowledge of data governance, data security, and privacy regulations.

Leadership and Communication:

Ability to lead by example in programming and documentation practices.
Excellent communication skills in English, both written and spoken.
Skillful in explaining complex issues and concerns to stakeholders.
Self-driven, collaborative, and solution-oriented mindset.

Additional Skills:

Experience in R&D using open-source tools.
Knowledgeable with CI/CD/CT processes.
Experience with AI technologies.
Familiarity with Network Design Optimization (NDO) and ML is a plus.

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