to lead the design, deployment, and scaling of mission-critical infrastructure for secure, high-volume platforms. You will play a strategic role in shaping our DevSecOps strategy, collaborating across teams to ensure our AI-driven deepfake detection solutions are deployed reliably, securely, and efficiently.
What You'll Do
Architect and manage multi-region, secure cloud infrastructure using Terraform, Pulumi, or CloudFormation.
Lead the development and optimisation of CI/CD pipelines (e.g., GitLab CI, Jenkins, GitHub Actions) to support rapid and compliant releases.
Oversee production-grade containerised environments using Kubernetes (EKS, GKE, or equivalent).
Design observability and incident response systems (Prometheus, Grafana, ELK, Datadog) to meet SLAs and SLOs.
Implement and enforce DevSecOps practices including secrets management, vulnerability scanning, and IAM/role-based access control.
Collaborate with engineering, AI/ML, and cybersecurity teams to support production-ready infrastructure.
Lead root-cause analysis and ongoing improvements to system reliability, performance, and security.
Mentor junior DevOps engineers and contribute to the definition of infrastructure standards and best practices.
What We're Looking For
5+ years of hands-on DevOps, SRE, or Cloud Infrastructure experience in complex environments.
Proven experience working in a bank or fintech environment supporting systems used by over 100 million users
- including large-scale CI/CD deployments, robust network design, and infrastructure security compliance (e.g. PCI DSS, ISO 27001).
Expert-level knowledge of AWS, GCP, or Azure cloud infrastructure and security controls.
Strong experience with Kubernetes in production environments, and container orchestration at scale.
Proficiency in automation and scripting (Python, Bash, Go).
Deep understanding of cloud networking, load balancing, and high-availability architectures.
Ability to manage infrastructure costs and performance trade-offs in regulated environments.
Excellent communication, documentation, and team leadership skills.
Bonus Points For
Familiarity with GPU-based infrastructure or AI/ML model deployment pipelines.
Experience with zero-downtime deployments and blue/green or canary release strategies.
Exposure to deepfake detection, cybersecurity, or compliance-heavy SaaS platforms.
Why Join Us
Lead critical infrastructure for a cutting-edge AI and cybersecurity company.
Influence security and reliability strategy at scale, working in a mission-driven, agile environment.
Competitive compensation, flexible working, and a strong culture of learning and innovation.
To apply, please send your CV and cover letter to
info@datambit.com
. For any questions about the position, feel free to reach out at the same address.
Job Type: Full-time
Pay: 80,000.00-90,000.00 per year
Benefits:
Company events
Employee mentoring programme
Gym membership
Health & wellbeing programme
Private medical insurance
Sick pay
Schedule:
Monday to Friday
Weekend availability
Work Location: In person