Senior AI DevOps Engineer

Responsibilities

• Architect and engineer secure, resilient multi-cloud infrastructures spanning Azure and AWS, creating comprehensive high-level and low-level technical designs.
• Implement enterprise-grade cloud governance frameworks, enforcing automated compliance-as-code and zero-trust network boundaries to meet strict financial regulatory baselines.
• Establish cloud cost-management frameworks and resource optimization strategies (FinOps) to ensure high-performance infrastructure remains cost-effective.
• Design and secure end-to-end multi-cloud deployment pipelines, embedding automated vulnerability gating and deployment compliance controls.
• Act as a key technical advisor to senior business units and risk committees, defending architectural decisions and technical risk trade-offs.
• Provide technical guidance and mentorship to mid-level engineering teams, driving best practices in infrastructure automation and identity management.

Requirements

• Minimum of 8 years in infrastructure engineering, cloud operations, or systems architecture.
• At least 3 years of experience operating as a Senior Engineer or Tech Lead across dual-cloud environments.
• In-depth technical architecture knowledge across both AWS and Azure, including identity ecosystems and serverless workloads.
• Deep practical knowledge of designing architectures that comply with banking standards such as PCI-DSS and ISO/IEC 27001.
• Advanced capability in drafting enterprise infrastructure templates using tools like Terraform or Bicep.
• Documented experience engineering automated infrastructure within a regulated tier-1 or tier-2 banking or insurance institution.
• Proven track record of delivering production-ready High-Level Designs (HLDs) and Low-Level Designs (LLDs).

Preferred Qualifications

• High-level certifications such as AWS Certified Solutions Architect - Professional or Microsoft Certified: Azure Solutions Architect Expert.
• CISSP or advanced FinOps credentials.
• Mastery over enterprise Kubernetes platforms (AKS/EKS), including automated policy engines.
• Experience deploying cloud infrastructure optimized for machine learning data pipelines and LLM orchestration layers.

Benefits

• Competitive salary
• Comprehensive personal health insurance
• Visa Sponsorship
• Professional development and certification support
• Monthly Employee Incentive program
• Opportunity to work on cutting-edge AI projects

About the Company

DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure.