Jobs at Dell in Brazil

As a Product Operations Senior Principal Engineer, you will be responsible for

• Initiate and own largescaleprojects; proactively coordinate teamengagement.

• Set priorities within and between projects based on critical need for the business; anticipate implications associated with a chosen course of action.

• Lead extended team with some direction Ability to manage team through influence direct knowledge and understanding of all extended team functions.

• Develop and manage FP (Functional Plan) for complex product launches and for complex fulfillment models

Take the first step towards your dream career

Essential Requirements​

• Numerous engineering disciplines, development / manufacturing process knowledge and technical expertise in some commodities.

• Strong command skills to drive the implementation and execution of programs and initiatives.

• Provides leadership for ensuring that product designs and operational processes are optimized Develops solutions for complex problems that meet operational and business requirements and incorporates industry best practices Able to communicate and influence across the organization.

• Defines process for review of product and advanced technology specifications and creation / communication of operational requirements

Desirable Requirements

• 10+ years of related experience in a professional role with a Bachelor’s degree; or 7+ years with a Master’s degree or equivalent experience

You will:

· Lead and expand the AppSec Vulnerability Assessment program, driving cross-functional engagement and aligning with enterprise security goals and industry best practices.

· Architect and implement scalable solutions and automation for identifying and remediating web and API vulnerabilities across diverse environments.

· Act as the strategic SME and liaison for engineering and business teams, providing technical leadership and mentoring junior staff.

· Integrate Tenable and DAST capabilities into CI/CD pipelines to enable automated, continuous security validation within DevSecOps workflows.

· Drive adoption of DAST and related technologies, delivering risk-based vulnerability insights for executive decision-making.

· Establish and maintain security testing capabilities within Federal environments to meet regulatory and compliance requirements.

Essential Requirements

• Solid in Vulnerability Management, Application Security, or related security engineering roles, with proven leadership in multi-domain security initiatives.
• Expert in the entire Tenable platform and suite with hands-on expertise with leading vulnerability scanning tools (e.g., Burp Suite, AppScan, Tenable, Prisma Cloud) and strong understanding of OWASP Top 10, secure coding practices, and threat modelling.
• Proficiency in scripting and automation (Python, Bash, or similar) to enhance scanning capabilities and streamline workflows and experience performing and auditing Static Code Analysis Testing (SAST).
• Experience engaging senior leadership and cross-functional teams, with strong communication, presentation, and data visualization skills to deliver actionable insights and executive dashboards.
• Proven ability to thrive in a fast-paced, dynamic environment, balancing strategic planning with hands-on execution.

Desirable Requirements

• Experience securing cloud and containerized environments, with knowledge of best practices and relevant tools.
• Strategic and abstract thinking skills, including Design Thinking and business acumen, to influence security strategy and risk management decisions. · Familiarity with Agile methodologies and IT Service Management workflows, including JIRA and related tools.

20 October 2025

•Manage relationships with senior level technical personnel and decision makers
•Demonstrate the value of a product and/or service technology to advance customer business objectives
•Provide insight and thought leadership to customers concerning applicability of highly complex products and services
•Act as a technical resource for the sales organization to help meet and exceed their objectives•Advanced knowledge of technical products, vendors and families of technologies
•Excellent understanding of product configurations
•Exceptional oral and written communication skills to communicate with customers, support personnel and leadership
•4 years of related experience in a relationship selling role
•Bachelor’s degree

What you’ll achieve

As an, you’ll provide comprehensive systems administration support for enterprise Omnissa solutions.

You will:

• Install, configure and maintain Omnissa software; support the building and maintenance of the images for VDI terminals
• Maintain and monitor:
  
• Analyze and resolve problems associated with the operating system’s servers, hardware, applications and software
• Provide Tier 2 and 3 troubleshooting support to end users
• Assist with configuring and deploying all virtual machines; install and provide backup to all configuration procedures; maintain VMware backend capacity and stability to support virtual desktops

Essential Requirements:

• Active Department of Defense (DoD) Top Secret (TS) Security Clearance with Sensitive Compartmented Information (SCI); Security+ Certification
• 8+ years’ experience as a network and computer systems administrator with similar responsibilities as above (or equivalent skill)
• Extensive background working with Omnissa or Horizon VDI solutions
• Must be certified in at least one of the following: Federal IT Security Institute-Operator (FITSP-O), GIAC Foundational Cybersecurity Technologies (GFACT), CompTIA Advanced Security Practitioner (CASP+) Cisco Certified Network Professional (CCNP) Security, Certified Cloud Security Professional (CCSP), Sec+ or IT Infrastructure Library (ITIL) version 4

Desirable Requirements:

• Bachelor’s degree in a related field

You will:

• Consults with external customers and implements new IT solutions and/or replaces existing IT solutions. Develops and offers integrated, end-to-end IT solutions that support the customer’s strategic, operational and financial goals and positions Dell for rapidly growing business

• Responsible for translating the client’s business and technical requirements into specific systems, applications or process designs for very large, complex technology solutions and integrating architecture

• Intel Technology lead for OSE & SE organization in CSG driving NPU & AI PC adoption. Responsible for Enablement of the technical organization on Intel products

• Supporting sales & extended team directly with overcoming technical objections for Intel issues. Technical Liaison with Intel FAEs & Dell internal partners/account teams

• Responsible for building and maintaining a relationship with Dell internal extended teams around Intel products (FPM, Support, PG, CT, Services)

Essential Requirements

• Good organizational, customer service and communication skills. Professional presentation skills

• Experience in Information Technology areas comprising any of the following:

• 15-20 years of experience in Systems Administration/Integration, Professional Services/Consulting

• Hands-on experience with End-User environments including deploying desktops, building servers, or 4+ years of technical business-related pre-sales experience

• Ability to prioritize and balance your schedule in a flexible work environment

Desirable Requirements

• Experience with Citrix, VMware Horizon, Microsoft Server OS 2012/2016, or Windows 10/11 experience (Technical Certification a plus)

• Systems Management experience (Microsoft Endpoint Configuration Manager (MECM)). Experience in Vpro, AMT & EMA

Senior DevOps Engineer – QA Infrastructure & Packaging

As a Senior DevOps Engineer, you will establish and own the full DevOps lifecycle for our QA automation: from packaging internal Python libraries, to building CI/CD pipelines, to deploying and scaling containerized test environments. You will be the cornerstone in creating reliable, reusable, and scalable infrastructure for automated testing.

You will:

• Build, package, and publish internal Python libraries to private repositories (Artifactory, Nexus, PyPI).
• Design and implement CI/CD pipelines from scratch (Jenkins, GitHub Actions).
• Establish and manage containerized environments with Docker and Kubernetes.
• Collaborate with QA automation engineers to integrate frameworks into pipelines.
• Introduce monitoring/logging to ensure reliability and transparency of the automation infrastructure.

Essential Requirements

• Strong hands-on experience in Python packaging (wheels, setup.py/pyproject.toml) and publishing to artifact repositories (Artifactory, Nexus, PyPI).
• Proven experience in setting up CI/CD pipelines from zero.
• Hands-on expertise with Docker and Kubernetes.
• Proficiency with Git and modern branching/PR workflows.
• 3–5 years of relevant DevOps or infrastructure engineering experience.

Desirable Requirements

• Knowledge of monitoring/logging stacks (Prometheus, Grafana, ELK).
• Strong scripting/coding in Python and Bash.

You will:

• Design, implement, and manage robust MLOps pipelines for deploying, monitoring, and maintaining machine learning models in production environments.
• Collaborate with cross-functional teams, including data scientists, software engineers, and DevOps, to ensure seamless integration of ML models into existing systems and processes.
• Continuously improve the CI/CD processes to automate model training, evaluation, and deployment.
• Implement and maintain monitoring solutions to track model performance, data quality, and system reliability.
• Troubleshoot and resolve issues related to machine learning infrastructure and pipelines.
• Keep abreast of the latest trends and best practices in MLOps and contribute to the evolution of our ML deployment strategies.

Essential Requirements

• Bachelor's degree or higher in Computer Science, Engineering, or a related field. Advanced degrees are a plus. Written and spoken English.
• Strong experience in MLOps or a related field.
• Proficiency in deploying and managing machine learning models using tools like Kubernetes, Docker, and orchestration platforms (e.g., Kubernetes, Apache Airflow).
• Strong programming skills in languages like Python, and experience with version control systems (e.g., Git).
• Solid understanding of containerization, virtualization, and infrastructure as code (IaC) principles. Experience with monitoring and logging tools (e.g., Prometheus, ELK stack)

Desirable Requirements

• Experience with ML frameworks (e.g., TensorFlow, PyTorch) and data processing libraries (e.g., pandas, NumPy). Knowledge of security best practices in ML deployments.
• Previous experience with CI/CD pipelines and automated testing for ML models. Familiarity with ML model deployment orchestration platforms like MLflow or Kubeflow.

08 September 2025