AI Platform Engineer at SS and C Technologies Inc Hong Kong

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

17 Jan, 26

Salary

0.0

Posted On

19 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kubernetes, Cloud Computing, Containerization, Release Management, Team Building, Operations, Collaboration, Monitoring, Logging, Security, Cost Optimization, Documentation, Problem-Solving, Adaptability, Communication Skills

Industry

Business Consulting and Services

Description

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. Job Description 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! Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

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Responsibilities

As an AI Platform Engineer, you will design, implement, and maintain cloud infrastructure with a focus on Kubernetes and containerization. You will also build a team to handle release management and operations, ensuring efficient, reliable, and secure application deployment.