Senior AI DevOps Engineer

Job Overview

Senior AI DevOps Engineer: responsible for designing and implementing secure, scalable, and highly compliant cloud architectures across Azure and AWS for core banking and AI platforms. The role translates complex business requirements into robust high‑level (HLD) and low‑level designs (LLD) and leads the hybrid‑cloud strategy, FinOps optimization, and zero‑trust security implementations.

Key Responsibilities

• Hybrid Cloud Architectural Design – Architect and engineer secure, resilient multi‑cloud infrastructures spanning Azure and AWS, creating comprehensive HLDs and LLDs.
• Security, Compliance & Governance – Implement enterprise‑grade cloud governance frameworks, enforcing automated compliance‑as‑code and zero‑trust network boundaries to meet strict financial regulatory baselines.
• FinOps & Resource Optimization – Establish cloud cost‑management frameworks and resource optimization strategies to keep high‑performance infrastructure cost‑effective.
• CI/CD & Pipeline Governance – Design and secure end‑to‑end multi‑cloud deployment pipelines, embedding automated vulnerability gating, code auditing, and deployment compliance controls.
• Technical & Stakeholder Leadership – Act as a key technical advisor to senior business units and risk committees, defending architectural decisions and technical risk trade‑offs clearly.
• Engineering Mentorship – Provide technical guidance and mentorship to mid‑level engineering and development teams, driving best practices in infrastructure automation, cloud routing, and identity management.

Benefits

• Competitive salary
• Comprehensive personal health insurance
• Visa sponsorship for the successful individual
• Professional development and certification support
• Subscription reimbursement related to your role
• Monthly employee incentive program
• Career advancement opportunities in a rapidly growing AI company

Qualifications

• In‑depth technical architecture knowledge across AWS and Azure, including identity ecosystems, serverless workloads, and database engines.
• Deep practical knowledge of designing architectures that strictly comply with banking standards such as PCI‑DSS, ISO/IEC 27001, and local financial regulations.
• Advanced capability in drafting complex, modular, and reusable enterprise infrastructure templates using tools like Terraform or Bicep.
• Proficiency in structuring secure network typologies, cloud‑native firewalls, private service endpoints, and cross‑cloud secure mesh routings.
• Exceptional capability to articulate abstract technical architectures into concrete business value summaries for senior non‑technical leadership.
• Minimum 8 years in infrastructure engineering, cloud operations, or systems architecture, with at least 3 years explicitly spent as a Senior Engineer or Tech Lead across dual‑cloud environments.
• Documented experience designing and engineering automated infrastructure within a regulated tier‑1 or tier‑2 banking or insurance institution.
• Proven track record of authoring, defending, and delivering production‑ready HLDs and LLDs to corporate architecture boards.
• Experience directing technical workloads, establishing engineering velocity metrics, and upskilling cross‑functional platform delivery squads.

Preferred Qualifications

• High‑level certifications such as AWS Certified Solutions Architect – Professional, Microsoft Certified: Azure Solutions Architect Expert, CISSP, or advanced FinOps credentials.
• Conceptual or hands‑on mastery over enterprise Kubernetes platforms (AKS/EKS), including automated policy engines and workload identity controls.
• Familiarity with deploying and scaling cloud infrastructure optimized for machine learning data pipelines, model registries, and LLM orchestration layers.

EEO Statement

DeepLight AI is committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.