Operating Systems - Spring, TX

posted 3 months ago

Full-time - Senior
Onsite - Spring, TX
Administrative and Support Services

About the position

As a Senior Cloud Engineer, you will play a pivotal role in leading the design, implementation, and maintenance of applications within the company's cloud infrastructure. This position requires a strong focus on performance optimization, security, and adherence to best practices, while also driving innovation in our cloud environment. You will collaborate closely with business, engineering, and development teams to evaluate and determine the most suitable cloud options for various projects. Your expertise will be essential in designing, creating, and implementing modular cloud-based applications that are not only highly available but also scalable to meet the demands of the business. In addition to application development, you will lead the design and implementation of AI solutions, leveraging Microsoft’s AI services. This includes developing and testing code and data pipelines specifically for AI applications, while staying abreast of the latest advancements in AI and machine learning technologies. You will also evaluate the existing portfolio of applications, both desktop and cloud-based, and recommend strategies to consolidate them into a unified solution. Mentorship is a key aspect of this role, as you will provide guidance to junior engineers and educate teams on the application of new cloud technologies. Continuous monitoring and optimization of cloud resources will be part of your responsibilities, along with regular assessments of current systems to recommend improvements. You will lead initiatives to enhance cloud security and compliance, manage operational administration, and ensure effective data processing and storage operations in line with corporate security guidelines. Your role will also involve identifying and mitigating infrastructure vulnerabilities and resolving any application deployment issues, while providing cloud support and guidance to users as needed.

Responsibilities

  • Work with the business, engineering, and development teams to evaluate and determine the best cloud options.
  • Design, create and implement modular cloud-based applications that are highly available and scalable.
  • Lead the design and implementation of AI solutions, leveraging Microsoft’s AI services.
  • Develop and test code and data pipelines for AI applications.
  • Stay up to date with the latest advancements in AI and ML technologies.
  • Evaluate existing portfolio of applications and recommend options to combine them into one solution.
  • Mentor and provide guidance to junior engineers.
  • Continuously monitor and optimize cloud resources.
  • Lead efforts to enhance cloud security and compliance.
  • Manage solutions encompassing operational administration, system/data backup, disaster recovery, and security/performance monitoring.
  • Use best practices for creating and maintaining cloud systems.
  • Ensure that data processing and storage operations are done effectively and in compliance with corporate security guidelines.
  • Identify, evaluate, and mitigate infrastructure vulnerabilities and solve any application deployment issues.
  • Interact with users to provide cloud support and guidance.

Requirements

  • Bachelor’s degree in computer science, Information Technology, or Engineering.
  • Extensive working knowledge of Cloud technologies in Microsoft Azure is a must.
  • Experience with Google Cloud Platform or Amazon Web Services is preferable.
  • Excellent communication skills, verbal and written in English.
  • Vast experience in developing cloud applications that are scalable, available, and aligned with industry best practices.
  • Knowledge of RESTful API development and integration.
  • Ability to solve complex technical problems with minimal supervision.
  • Extensive experience with scripting and automation, including knowledge of one or more programming and scripting languages (C#, Python).
  • Familiarity with Azure AI services, including pre-built AI components and custom ML models.
  • In-depth knowledge of cloud security best practices.
  • Strong leadership and project management skills.
  • Proven track record of successful cloud infrastructure projects.

Nice-to-haves

  • Minimum of 3 years experience in one or more cloud platforms (Azure, AWS, Google Cloud Platform).
  • Industry vendor certifications are desired (e.g. Azure, AWS, Google Cloud Platform or CNCF/Kubernetes certifications).
  • Experience designing, building, and maintaining solutions in Azure, Google Cloud Platform or AWS.
  • Excellent knowledge of CI/CD concepts and tools such as Azure DevOps / GitLab.
  • Familiar with containers (OpenShift, Kubernetes, Docker etc.).
  • Experience with data engineering and data science workflows.
  • Passion for continuous learning and staying at the forefront of AI advancements.
  • Experience with using SQL and NoSQL databases.

Benefits

  • Compensation: OSI consistently pays a higher percentage of gross billing rate than its competitors; in most cases up to 75% of the client's billing rate.
  • Medical Insurance: Company paid medical insurance; optional coverage available for spouse and children.
  • Long term Disability.
  • 401K.
  • Workers Compensation Insurance.
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