Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
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VMware Machine Learning Infra/OPS Engineer - Opportunity for Working Remotely in Charleston, South Carolina

The Security Analytics Engineering group is looking to hire a Machine Learning Enginner to help lead the development of cutting-edge machine learning models to better protect our users from malicious actors and improve our customer product experience. We are looking for a hands-on engineering leader with deep data science and software engineering expertise who can help architect and own the platform for deploying and tuning the machine learning models used to protect user authentication and security.

The teams focuses on using analytics, machine learning, and threat research on petabyte-scale data to deliver security value to millions of business users across thousands of businesses. The product portfolio is a part of the rapidly growing Carbon Black Cloud platform that delivers next-generation endpoint protection capabilities from the cloud. Now with the full resources of VMware, you have the opportunity to make an impact and build upon Carbon Black’s success.


  • Design and develop core components, infrastructure, and architecture of a machine learning platform for VMware CB SBU to create, train and deploy ML models

  • Automate the day to day operational support for model training and model serving pipelinesCreate monitoring solutions that allow effective system accuracy, performance and enable troubleshooting of production ML models.

  • Identify gaps and evaluate relevant tools and technologies as needed to improve processes and systems, leveraging open-source and cloud computing technologies to build effective solutions.

  • Collaborate with data scientists, data engineers, product teams, and other key stakeholders and drive ML platform projects from conception to completion and production monitoring.


  • 5+ years strong experience in large scale distributed systems, Data Engineering, MLOps, Machine Learning and Data Science areas

  • Experience developing data pipelines and orchestrating the deployment of ML models for production ready systems .

  • Must have working experience to MLOps tools such as KubeFlow, MLFlow, Metaflow, or Sagemaker

  • Infrastructure as code - Terraform experience

  • You can use AWS service and have a solid understanding of VPC, ALB/ELB, EC2, Route53, Kinesis, IAM, and other AWS concepts.

  • Strong understanding of containerization (Docker) and container-orchestration systems like Kubernetes; experience with data workflow managers such as Airflow is a plus

  • Experience with stream processing technology Kafka, Spark, Samza, Flink, etc.

Bonus Skills

  • Working proficiency in SQL. Experience with big-data processing engines (Hive, Tez, Spark, Presto, Athena) is a plus.

  • Familiarity with machine learning frameworks (like Keras or Tensor

This position is eligible for CarbonBlackUSA referral campaign

Category : Engineering and Technology

Subcategory: Software Engineering

Experience: Manager and Professional

Full Time/ Part Time: Full Time

Posted Date: 2021-07-21

VMware Company Overview: At VMware, we believe that software has the power to unlock new opportunities for people and our planet. We look beyond the barriers of compromise to engineer new ways to make technologies work together seamlessly. Our cloud, mobility, and security software form a flexible, consistent digital foundation for securely delivering the apps, services and experiences that are transforming business innovation around the globe. At the core of what we do are our people who deeply value execution, passion, integrity, customers, and community. Shape what’s possible today at

Equal Employment Opportunity Statement: VMware is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: VMware is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at VMware are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. VMware will not tolerate discrimination or harassment based on any of these characteristics. VMware encourages applicants of all ages. Vmware will provide reasonable accommodation to employees who have protected disabilities consistent with local law.