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Job: DevSecOps Engineer (London W1)
- Salary; to £75,000
- Benefits; pension, stock options*, free in-office lunches
- Location; Mon-Fri onsite in London W1 offices (Piccadilly Circus)
Company
Having recently floated on *NASDAQ, this company is a dynamic, AI-first SaaS company known for leveraging the latest advancements in Generative AI to deliver world-class Ai commerce solutions. Recognized by industry leaders, they are in an exciting growth phase and seeking experienced professionals to join their innovative team. This is a chance to a pioneering team that's transforming the future of commerce with AI and ML!
Role
Working Mon-Fri from their Piccadilly Circus offices, they are looking for a skilled DevSecOps Engineer with expertise in both Google Cloud Platform (GCP) and Azure, to support and enhance their cutting-edge AI and ML-based SaaS solutions. Their ideal candidate will play a pivotal role in building, maintaining, and securing their cloud infrastructure, ensuring seamless integration and robust security practices.
Key Responsibilities
Cloud Infrastructure Management: Design, implement, and manage scalable, secure, and resilient infrastructure on GCP and Azure. Utilize Terraform for infrastructure as code to provision and automate cloud resources.
Containerization & Orchestration: Deploy and manage applications using Kubernetes for optimal scalability and efficiency. Ensure proper container orchestration and management.
CI/CD & DevOps Practices: Develop, implement, and maintain CI/CD pipelines using GitHub Actions. Automate testing and deployment processes to ensure high-quality releases.
Security Integration: Implement and manage security controls across cloud infrastructure to protect data and applications. Conduct regular security assessments and audits to identify and mitigate vulnerabilities.
Collaboration & Communication: Work closely with cross-functional teams, including AI/ML experts, to understand and meet infrastructure requirements. Participate in code reviews and provide feedback focusing on security and best practices. Collaborate with network, security, and application teams to ensure seamless integration and operation.
Documentation & Training: Develop and maintain detailed documentation of infrastructure, processes, and security protocols. Provide training and support to team members on best practices for DevOps and security.
Required
Proven experience with Google Cloud Platform (GCP) and Microsoft Azure.
Hands-on experience with Terraform and Kubernetes.
Strong understanding of CI/CD pipelines and experience with GitHub Actions.
Solid cybersecurity background with knowledge of best practices and security frameworks.
Experience with infrastructure as code and automation tools.
Familiarity with AI/ML techniques and their application in SaaS products.
Desired
Experience in a SaaS environment, particularly with products underpinned by AI and ML technologies.
Familiarity with other DevOps tools and practices.
What’s in it for you?
Innovative Environment: Be at the forefront of AI and ML-driven technology in the ITSM space. Join a team recognized for its rapid growth and industry-leading solutions.
Growth Opportunities: Clear career progression in the DevSecOps field. Opportunities for continuous learning and professional development.
Collaborative Culture: Work in a supportive, dynamic environment with flat hierarchies and full ownership and responsibility.
Other Stuff
NB: for non-UK Citizens: we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment status. If you are using a work visa this must allow you to work in the UK unrestricted for at least the next 5 years.
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Profile 29 recruitment keywords: development security operations ai artificial intelligence machine learning saas software Cloud Platform GCP Microsoft Azure Terraform Kubernetes London
