AI Platform Engineer

undefined ago • 5 Years + • Devops

Job Summary

Job Description

As an AI Platform Engineer, you will design, implement, and maintain cloud infrastructure, focusing on Kubernetes and containerization. This hands-on leadership role involves building a team for release management and operations, ensuring efficient, reliable, and secure application deployment. You will need a strong technical background, excellent communication skills, and experience in managing high-performing teams to ensure high availability, scalability, and security of applications and infrastructure.
Must have:
  • Design, implement, and maintain cloud infrastructure including Kubernetes and containerization.
  • Develop and maintain expertise in Kubernetes, including cluster management and troubleshooting.
  • Develop and implement release management processes for efficient application deployment.
  • Build and manage a team of engineers for release management and operations.
  • Develop and implement operational processes for high availability, scalability, and security.
  • Collaborate with development teams for smooth application deployment.
  • Develop and implement monitoring and logging strategies.
  • Ensure cloud infrastructure and applications are secure and compliant.
  • Optimize cloud costs for efficient infrastructure operation.
  • Develop and maintain documentation on cloud infrastructure and procedures.
  • 5+ years of experience in cloud computing, Kubernetes, and containerization.
  • 2+ years of experience in building and managing high-performing teams.
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Experience with Kubernetes cluster management and deployment strategies.
  • Experience with release management tools like GitOps, CI/CD pipelines, automated deployment.
  • Experience with operational processes including monitoring, logging, and security.
  • Excellent communication skills to convey technical concepts.
  • Experience collaborating with development teams and stakeholders.
  • Strong problem-solving skills for complex technical issues.
  • Ability to adapt to changing technical requirements and priorities.
Good to have:
  • Kubernetes certifications (CKA, CKAD)
  • Cloud certifications (AWS Certified DevOps Engineer, GCP Certified Professional Cloud Developer)
  • Experience with other cloud-native technologies (serverless computing, service mesh, cloud-native databases)
  • Experience with agile development methodologies (Scrum, Kanban)
Perks:
  • Competitive salary and benefits package.
  • Opportunity to build a team and significantly impact technology stack.
  • Opportunities for professional development and growth.
  • Flexible work arrangements, including remote work options.
  • Collaborative and dynamic culture valuing innovation and teamwork.
  • Health, dental, 401k plan.
  • Tuition and professional development reimbursement plan.

Job Details

SS&C is seeking an experienced Kubernetes and Cloud Operations Platform Engineer to join our team and help us build out our cloud infrastructure and operations capabilities. This is a unique opportunity to join a growing company and make a significant impact on our technology stack and operations.

Job Summary:

As a AI Platform Engineer, you will be responsible for designing, implementing, and maintaining our cloud infrastructure, with a focus on Kubernetes and containerization. You will also be responsible for Platform Engineer on a daily basis and eventually building out a team to handle release management and operations, ensuring that our applications are deployed efficiently, reliably, and securely. This is a hands-on leadership role that requires a strong technical background, excellent communication skills, and experience in building and managing high-performing teams.

Key Responsibilities:

1. Cloud Infrastructure: Design, implement, and maintain our cloud infrastructure, including Kubernetes clusters, containerization, and cloud-native services.

2. Kubernetes Expertise: Develop and maintain expertise in Kubernetes, including cluster management, deployment strategies, and troubleshooting.

3. Release Management: Develop and implement release management processes and procedures to ensure efficient, reliable, and secure deployment of applications.

4. Team Building: Build out a team of engineers to handle release management and operations, including recruiting, training, and mentoring team members.

5. Operations: Develop and implement operational processes and procedures to ensure high availability, scalability, and security of our applications and infrastructure.

6. Collaboration: Collaborate with development teams to ensure smooth deployment of applications and provide feedback on application design and architecture.

7. Monitoring and Logging: Develop and implement monitoring and logging strategies to ensure visibility into application and infrastructure performance.

8. Security: Ensure that our cloud infrastructure and applications are secure, compliant with industry standards, and meet regulatory requirements.

9. Cost Optimization: Optimize cloud costs and ensure that our infrastructure is running efficiently and effectively.

10. Documentation: Develop and maintain documentation on our cloud infrastructure, release management processes, and operational procedures.

Requirements:

1. Technical Expertise: 5+ years of experience in cloud computing, with a focus on Kubernetes and containerization.

2. Leadership Experience: 2+ years of experience in building and managing high-performing teams.

3. Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure.

4. Kubernetes: Experience with Kubernetes, including cluster management, deployment strategies, and troubleshooting.

5. Release Management: Experience with release management tools and processes, such as GitOps, CI/CD pipelines, and automated deployment.

6. Operations: Experience with operational processes and procedures, including monitoring, logging, and security.

7. Communication Skills: Excellent communication skills, with the ability to communicate technical concepts to non-technical stakeholders.

8. Collaboration: Experience collaborating with development teams and other stakeholders to ensure smooth deployment of applications.

9. Problem-Solving: Strong problem-solving skills, with the ability to troubleshoot complex technical issues.

10. Adaptability: Ability to adapt to changing technical requirements and priorities.

Nice to Have:

1. Certifications: Kubernetes certifications, such as CKA or CKAD.

2. Cloud Certifications: Cloud certifications, such as AWS Certified DevOps Engineer or GCP Certified Professional Cloud Developer.

3. Experience with other cloud-native technologies: Experience with other cloud-native technologies, such as serverless computing, service mesh, or cloud-native databases.

4. Experience with agile development methodologies: Experience with agile development methodologies, such as Scrum or Kanban.

What We Offer:

1. Competitive Salary: A competitive salary and benefits package.

2. Opportunity to Build a Team: The opportunity to build out a team and make a significant impact on our technology stack and operations.

3. Professional Development: Opportunities for professional development and growth.

4. Flexible Work Arrangements: Flexible work arrangements, including remote work options.

5. Collaborative Culture: A collaborative and dynamic culture that values innovation, creativity, and teamwork.

If you're a motivated and experienced Kubernetes and Cloud Operations professional looking to make a significant impact on our technology stack and operations, we'd love to hear from you!

SS&C offers excellent benefits including health, dental, 401k plan, tuition and professional development reimbursement plan.

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About The Company

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

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