AI Platform Engineer

AI Platform Engineer

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and maintain cloud infrastructure with a focus on Kubernetes and containerization.
  • Company: Join a leading financial services and healthcare tech company with a global presence.
  • Benefits: Competitive salary, flexible work options, and professional development opportunities.
  • Why this job: Make a significant impact on technology while building and leading a high-performing team.
  • Qualifications: 5+ years in cloud computing and Kubernetes expertise required.
  • Other info: Collaborative culture that values innovation and teamwork.

The predicted salary is between 36000 - 60000 £ per year.

Overview

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

  • Cloud Infrastructure: Design, implement, and maintain our cloud infrastructure, including Kubernetes clusters, containerization, and cloud-native services.
  • Kubernetes Expertise: Develop and maintain expertise in Kubernetes, including cluster management, deployment strategies, and troubleshooting.
  • Release Management: Develop and implement release management processes and procedures to ensure efficient, reliable, and secure deployment of applications.
  • Team Building: Build out a team of engineers to handle release management and operations, including recruiting, training, and mentoring team members.
  • Operations: Develop and implement operational processes and procedures to ensure high availability, scalability, and security of our applications and infrastructure.
  • Collaboration: Collaborate with development teams to ensure smooth deployment of applications and provide feedback on application design and architecture.
  • Monitoring and Logging: Develop and implement monitoring and logging strategies to ensure visibility into application and infrastructure performance.
  • Security: Ensure that our cloud infrastructure and applications are secure, compliant with industry standards, and meet regulatory requirements.
  • Cost Optimization: Optimize cloud costs and ensure that our infrastructure is running efficiently and effectively.
  • Documentation: Develop and maintain documentation on our cloud infrastructure, release management processes, and operational procedures.

Requirements

  • Technical Expertise: 5+ years of experience in cloud computing, with a focus on Kubernetes and containerization.
  • Leadership Experience: 2+ years of experience in building and managing high-performing teams.
  • Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure.
  • Kubernetes: Experience with Kubernetes, including cluster management, deployment strategies, and troubleshooting.
  • Release Management: Experience with release management tools and processes, such as GitOps, CI/CD pipelines, and automated deployment.
  • Operations: Experience with operational processes and procedures, including monitoring, logging, and security.
  • Communication Skills: Excellent communication skills, with the ability to communicate technical concepts to non-technical stakeholders.
  • Collaboration: Experience collaborating with development teams and other stakeholders to ensure smooth deployment of applications.
  • Problem-Solving: Strong problem-solving skills, with the ability to troubleshoot complex technical issues.
  • Adaptability: Ability to adapt to changing technical requirements and priorities.

Nice to Have

  • Certifications: Kubernetes certifications, such as CKA or CKAD.
  • Cloud Certifications: Cloud certifications, such as AWS Certified DevOps Engineer or GCP Certified Professional Cloud Developer.
  • Experience with other cloud-native technologies: Experience with other cloud-native technologies, such as serverless computing, service mesh, or cloud-native databases.
  • Experience with agile development methodologies: Experience with agile development methodologies, such as Scrum or Kanban.

What We Offer

  • Competitive Salary: A competitive salary and benefits package.
  • Opportunity to Build a Team: The opportunity to build out a team and make a significant impact on our technology stack and operations.
  • Professional Development: Opportunities for professional development and growth.
  • Flexible Work Arrangements: Flexible work arrangements, including remote work options.
  • Collaborative Culture: A collaborative and dynamic culture that values innovation, creativity, and teamwork.

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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AI Platform Engineer employer: SS&C Technologies

SS&C is an exceptional employer, offering a dynamic and collaborative work culture that fosters innovation and teamwork. With a strong focus on professional development and the opportunity to build and lead a high-performing team, employees can make a significant impact on cutting-edge technology in the financial services and healthcare sectors. Located in Windsor, Connecticut, SS&C provides flexible work arrangements and a competitive salary package, making it an attractive choice for those seeking meaningful and rewarding employment.
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Contact Detail:

SS&C Technologies Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Platform Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Kubernetes and cloud infrastructure. This gives potential employers a taste of what you can do.

✨Tip Number 3

Prepare for interviews by practising common technical questions related to cloud operations and Kubernetes. We recommend doing mock interviews with friends or using online platforms to get comfortable.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at SS&C.

We think you need these skills to ace AI Platform Engineer

Kubernetes Expertise
Cloud Infrastructure Design
Containerization
Release Management
Team Building
Operational Processes
Monitoring and Logging
Security Compliance
Cost Optimization
Cloud Platforms (AWS, GCP, Azure)
CI/CD Pipelines
Communication Skills
Collaboration
Problem-Solving
Adaptability

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the AI Platform Engineer role. Highlight your experience with Kubernetes, cloud infrastructure, and team leadership to show us you're the perfect fit!

Show Off Your Skills: Don’t hold back on showcasing your technical expertise! Include specific examples of your work with cloud platforms and release management processes to give us a clear picture of what you can bring to the table.

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We want to understand your experience without having to decode complex terms!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at SS&C Technologies

✨Know Your Kubernetes Inside Out

Make sure you brush up on your Kubernetes knowledge before the interview. Be ready to discuss cluster management, deployment strategies, and troubleshooting techniques. Having real-world examples of how you've tackled these challenges will really impress the interviewers.

✨Showcase Your Leadership Skills

Since this role involves building and managing a team, be prepared to share your experiences in leadership. Talk about how you've recruited, trained, and mentored team members in the past. Highlight any successful projects where your leadership made a difference.

✨Demonstrate Your Problem-Solving Abilities

Expect to face some technical questions that test your problem-solving skills. Think of complex issues you've resolved in previous roles, especially related to cloud infrastructure or release management. Walk them through your thought process and the steps you took to find a solution.

✨Communicate Clearly and Effectively

Strong communication skills are key for this position. Practice explaining technical concepts in simple terms, as you'll need to collaborate with non-technical stakeholders. During the interview, focus on being clear and concise in your responses to demonstrate your ability to bridge the gap between tech and business.

AI Platform Engineer
SS&C Technologies
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