Posted:1 week ago|
Platform:
Remote
Full Time
(Multi-Cloud DevOps/MLOps Specialist)
Lead the design and operation of secure, high-availability, multi-cloud infrastructure for a blockchain and data-intensive financial platform. Enable AI/ML workflows, ensure regulatory-grade security, and deliver four-nines reliability.
• Architect multi-cloud environments (AWS, Azure, GCP) for blockchain and financial workloads.
• Implement DevOps pipelines with Terraform, Ansible, Jenkins, or GitHub Actions; operate container platforms (Kubernetes/Docker).
• Build MLOps workflows for training, deployment, versioning, and monitoring (MLflow, Kubeflow, or SageMaker).
• Optimise database architectures (PostgreSQL, MongoDB, and ledger-adjacent stores) for integrity, scale, and low latency.
• Design for resilience: fault tolerance, disaster recovery, and hybrid models for data sovereignty.
• Integrate security best practice (zero trust, encryption, secrets, API gateways) and compliance controls (GDPR, SOC 2, PCI where relevant).
• Deliver observability using Prometheus, Grafana, and ELK; troubleshoot performance at scale.
• Drive performance tuning and cost optimisation; leverage auto-scaling and serverless where appropriate.
• Mentor engineers; contribute architecture documents and standards.
• Bachelor’s or Master’s in Computer Science/Engineering or equivalent experience.
• 7–10 years in cloud infrastructure with 4+ years across multi-cloud; relevant certifications preferred.
• Strong DevOps background: CI/CD, IaC, Kubernetes/ECS.
• 3+ years of MLOps in production (TensorFlow, PyTorch, data pipelines).
• Experience supporting blockchain applications or DLT integrations.
• Expertise in relational and NoSQL data stores; microservices and event-driven design.
• Security and compliance familiarity for financial services; strong incident response skills.
• Excellent communication with the ability to brief non-technical stakeholders.
• Experience with trading or tokenisation platforms.
• Advanced certifications in DevOps/MLOps or blockchain.
• Familiarity with serverless patterns and modern AI orchestration tools.
• Proficiency in Python, Go, or Java for automation.
• Strategic ownership of a mission-critical platform.
• Direct impact on architecture, resilience, and compliance posture.
ArthaNova
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