Associate DevOps Architect

Associate Architect DevOps is responsible for leading and guiding the DevOps team that supports product development, non-functional testing, platform engineering, cloud infrastructure, release delivery, and customer implementations. The individual will define strategies aligned with modern DevOps, Platform Engineering, GitOps, FinOps, and AI-augmented engineering practices.

The individual will further focus on resilience, security, cost optimisation, and improving engineering productivity

The architect will partner closely with software engineering teams to build resilient, fault-tolerant services focusing on security, cost optimisation, and improving engineering productivity

Core Competencies

• Cloud Architecture (AWS/Azure), Kubernetes, Containers
• Platform Engineering, Internal Developer Platforms (IDP)
• DevOps, GitOps, CI/CD, IaC (Terraform/Pulumi)
• AI-Augmented Engineering, AIOps, Observability
• DevSecOps, Zero Trust, Compliance Automation
• FinOps, Cost Governance, Reliability Engineering
• Stakeholder Management, Team Leadership, Delivery Governance
  
  

People & Leadership

• Lead DevOps & Platform Engineering teams; build capabilities in cloud-native, automation, GitOps, AI-driven DevOps.
• Define hybrid/cloud strategy, architecture standards, and platform roadmaps.
• Implement IDP, self-service provisioning, templates, golden paths.
• Drive AI-enhanced operations: predictive alerting, anomaly detection, automated remediation.
• Lead creation of secure, automated pipelines with quality gates and compliance.
• Oversee performance, resilience, and chaos engineering practices.
• Manage Cloud/Infra budgets with FinOps-based optimization.
• Strengthen cross-functional collaboration and influence engineering direction.
• Ensure governance, best practices, operational excellence, and continuous improvement.
  
  

Role Requirements

• Bachelor’s/Master’s in Computer Science/Engineering.
• 8+ years in DevOps/Cloud/Platform Engineering; experience leading engineering teams.
• Strong skills in Kubernetes, cloud-native architectures, IaC, GitOps, observability.
• Experience in AI-driven DevOps, AIOps, and automated SDLC tooling.
• Strong communication, documentation, and stakeholder engagement.
• Experience in high-availability, regulated or Capital Markets environments.

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