Sr Lead VMware Engineer

JPMorganChase; Buenos Aires; Presencial; ARS 1.000.000 - 1.500.000; Jornada completa

Descripción de la vacante

J.P. Morgan is seeking an experienced network automation engineer to lead SDN solutions for datacenters. You will design, implement, and operate automation and orchestration across multi-cloud environments, focusing on reliability, performance, and scalable infrastructure.

You will collaborate with cross-functional teams in an Agile framework, mentor junior engineers, and evaluate emerging SDN technologies and AI-assisted tooling to uplift code quality and delivery velocity.

Formación

• Bachelor's degree in Computer Science or related field with 5+ years of experience in network infrastructure development or DevOps networking.
• Strong experience with Python, Go, JavaScript, and shell scripting for automation and tooling.
• Deep understanding of BGP, VRF, MPLS, IP/TCP/UDP in datacenter contexts; cloud networking experience including VPC and hybrid connectivity.
• Experience with CI/CD pipelines and container orchestration (Jenkins, Kubernetes) and IaC frameworks (Ansible, Terraform).
• Excellent communication and collaboration skills to work with cross-functional teams.

Responsabilidades

• Lead the development, implementation, and delivery of SDN solutions for software-defined datacenters, ensuring timelines and performance standards.
• Design, develop, and implement network automation and orchestration using Python, Go, JavaScript, and modern web tech.
• Architect and deploy SDN and orchestration across multi-cloud environments with monitoring integrations for reliability.
• Develop and maintain network automation frameworks, APIs, and tooling with infrastructure-as-code.
• Collaborate with network architects, security, product owners, and infra engineers in an Agile Scrum environment.
• Mentor junior engineers on network automation, IaC, and AI-assisted development practices.
• Evaluate emerging SDN technologies and AI-assisted tooling to improve quality, speed, and reliability.

Conocimientos

Python

Go

JavaScript

Infrastructure as Code

Kubernetes

CI/CD

AI-assisted tooling

Networking

Security

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Jenkins

Terraform

Ansible

NSX-T

Descripción del empleo

• Lead the development, implementation, and delivery of software-defined networking (SDN) solutions for software-defined datacenters, ensuring timelines, technical requirements, and network performance standards are met across highly-resilient and scalable infrastructure
• Architect and deploy SDN solutions and network orchestration systems across multi-cloud environments (AWS, Azure, GCP, Private cloud), integrating monitoring frameworks with existing tools to ensure infrastructure reliability
• Develop and maintain network automation frameworks, APIs, and tooling that integrate with network devices, controllers, and monitoring systems, writing clean, maintainable infrastructure-as-code that adheres to coding standards
• Collaborate with network architects, security teams, product owners, and infrastructure engineers in an Agile scrum environment, conducting code reviews and troubleshooting network applications to meet performance and reliability requirements
• Mentor junior engineers on network automation and infrastructure-as-code principles while influencing technical direction by evaluating emerging SDN technologies, automation using AI tools, and DevOps methodologies
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain,
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale

Job Description

• Lead the development, implementation, and delivery of software-defined networking (SDN) solutions for software-defined datacenters, ensuring timelines, technical requirements, and network performance standards are met across highly-resilient and scalable infrastructure
• Design, develop, and implement network automation solutions and infrastructure management platforms using Python, Go, JavaScript, and modern web technologies to reduce manual intervention and improve operational efficiency
• Architect and deploy SDN solutions and network orchestration systems across multi-cloud environments (AWS, Azure, GCP, Private cloud), integrating monitoring frameworks with existing tools to ensure infrastructure reliability
• Develop and maintain network automation frameworks, APIs, and tooling that integrate with network devices, controllers, and monitoring systems, writing clean, maintainable infrastructure-as-code that adheres to coding standards
• Collaborate with network architects, security teams, product owners, and infrastructure engineers in an Agile scrum environment, conducting code reviews and troubleshooting network applications to meet performance and reliability requirements
• Mentor junior engineers on network automation and infrastructure-as-code principles while influencing technical direction by evaluating emerging SDN technologies, automation using AI tools, and DevOps methodologies
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain,
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale

Job Responsibilities

• Lead the development, implementation, and delivery of software-defined networking (SDN) solutions for software-defined datacenters, ensuring timelines, technical requirements, and network performance standards are met across highly-resilient and scalable infrastructure
• Design, develop, and implement network automation solutions and infrastructure management platforms using Python, Go, JavaScript, and modern web technologies to reduce manual intervention and improve operational efficiency
• Architect and deploy SDN solutions and network orchestration systems across multi-cloud environments (AWS, Azure, GCP, Private cloud), integrating monitoring frameworks with existing tools to ensure infrastructure reliability
• Develop and maintain network automation frameworks, APIs, and tooling that integrate with network devices, controllers, and monitoring systems, writing clean, maintainable infrastructure-as-code that adheres to coding standards
• Collaborate with network architects, security teams, product owners, and infrastructure engineers in an Agile scrum environment, conducting code reviews and troubleshooting network applications to meet performance and reliability requirements
• Mentor junior engineers on network automation and infrastructure-as-code principles while influencing technical direction by evaluating emerging SDN technologies, automation using AI tools, and DevOps methodologies
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain,
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale

Required Qualifications, Capabilities, And Skills

• Bachelor's Degree in Computer Science, or related field plus 5+ years of experience in network infrastructure development, DevOps networking engineering, or related occupation with formal training or certification on software engineering and network engineering concepts
• Strong experience developing software with Python, Go, JavaScript, RUST and Shell Scripting for network automation and infrastructure management, with experience leading development projects in an Agile environment with cross-functional teams
• Deep understanding of networking protocols and technologies including BGP, VRF, MPLS, IP, TCP, and UDP as applied to datacenter contexts, with hands‑on experience in cloud networking architectures such as VPC, CNI, hybrid cloud connectivity patterns, and engineering experience with VMware NSX-T for software‑defined networking solutions including NSX-T logical switching, routing, load balancing, distributed firewall, micro‑segmentation, overlay and underlay network configuration
• Experience with CI/CD tools (specifically Jenkins) for infrastructure automation pipelines, container orchestration using Kubernetes and containerized network functions, network automation frameworks and infrastructure‑as‑code practices (Ansible, Terraform)
• Exceptional problem‑solving and critical thinking skills with ability to decompose complex network infrastructure challenges, perform root‑cause analysis across distributed systems, debug and optimize both network infrastructure components and automation software, and apply systems thinking to anticipate cascading impacts of changes.
• Excellent communication and collaboration skills to work effectively with cross‑functional teams including physical network operations, security, and application platform teams, with demonstrated ability to learn quickly, adapt to changing technologies, and make sound technical decisions under pressure.
• Demonstrated experience leading effective use of enterprise‑authorized AI‑assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
• Advanced English skills

Preferred Qualifications, Capabilities, And Skills

• Experience with network visibility and analytics tools and network virtualization platforms including Cisco ACI, Calico, OVN (Open Virtual Network), and Cilium for container networking
• Knowledge in policy‑as‑code frameworks , network security automation practices, and zero‑trust architecture implementation
• Industry‑recognized networking certifications such as AWS Certified Advanced Networking - Specialty, Azure Network Engineer Associate, or Google Cloud Professional Cloud Network Engineer.
• Demonstrated ability to leverage AI-powered development tools and Specification‑Driven Development (SDD) methodologies using platforms such as Claude Code, GitHub Copilot, or similar tools to enhance network automation development velocity and code quality

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.