Sr Cloud Engineer

Job Description

Responsibilities:

Architect and implement cloud-based solutions tailored for large-scale AI applications and data pipelines.

Ensure the ongoing reliability, performance, and scalability of cloud infrastructure.

Continuously monitor and optimize system performance to meet the demands of AI workloads.

Develop strategies to scale infrastructure efficiently as data and application requirements grow.

Implement robust security measures and ensure compliance with industry standards and regulations.

Day to Day:

One of Insight Global clients is looking for a Sr Cloud Engineer to come join their team. This individual will design and maintain cloud infrastructure for large-scale AI applications, ensuring efficient data flow through well-maintained pipelines. They will continuously monitor system performance to identify and address bottlenecks, optimizing the infrastructure to handle AI workloads effectively. Additionally, they will plan and implement strategies to scale the infrastructure based on AI application needs, adjusting resource allocation to manage varying workloads. They will work closely with team members to develop and implement cutting-edge technologies for a security company.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to .

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Skills and Requirements

Must Have:

5-8 Years of relevant experience

Hands-on experience with cloud platforms -GCP

Experience with data lake, data pipeline, and distributed systems architecture

Experience building scalable AI/ML pipelines and services

Strong DevOps, MLOps, and CI/CD skills Pluses:

Familiarity with containerization (Docker, Kubernetes)

Experince working with Video, Audio or AI Products

Experince with Python, Rust, or C+ Bachelors degree in related field null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to .