DevSecOps Engineer at Profile 29 Ltd
London W1S 3DN, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

26 May, 25

Salary

75000.0

Posted On

26 Feb, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

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!

Responsibilities

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.

Loading...