Senior DevOps Lead AI Competency Center

Crescendo Global Leadership Hiring India; Mumbai; On-site; INR 1,400,000 - 2,400,000; Full time

Job description

WHAT YOULL NEED?

• 510 years of hands-on experience in DevOps, SRE, Cloud, Platform, Infrastructure, or DevSecOps Engineering.
• Strong experience with Azure, AWS, and/or GCP, including compute, networking, storage, IAM, monitoring, security, governance, and managed services.
• Strong experience with CI/CD, Terraform, Docker, Kubernetes, and configuration management.
• Strong scripting and automation skills using Python, Bash, PowerShell, or equivalent.
• Strong understanding of Linux, networking, DNS, HTTP/HTTPS, TLS, authentication, authorization, secrets, firewalls, proxies, and service discovery.
• Experience with application hosting, production operations, observability, centralized logging, incident management, troubleshooting, and root-cause analysis.
• Understanding of high availability, scalability, resilience, backup, disaster recovery, capacity planning, and rollback strategies.
• Practical understanding of DevOps, DevSecOps, Agile, MLOps, LLMOps, FinOps, and cloud security practices.
• Experience integrating security controls into CI/CD and infrastructure workflows.
• Strong ownership, communication, collaboration, and problem-solving skills.

• Experience with AI/ML, GenAI, LLM, RAG, inference, model-serving, or agentic workloads.
• Experience with GPU/CPU optimization, vector databases, embeddings, model gateways, AI observability, or inference cost optimization.
• Experience with GitOps tools such as Argo CD or Flux and CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
• Experience with FinOps, GreenOps, cloud sustainability, unit economics, or infrastructure efficiency.
• Experience with platform engineering, internal developer platforms, self-service deployment, policy-as-code, or cloud governance.
• Experience with security tools such as SAST, DAST, SCA, container scanning, secrets scanning, SIEM, CSPM, WAF, or API security.
• Exposure to BFSI, FinTech, capital markets, asset management, or other regulated environments.
• Relevant cloud, Kubernetes, DevOps, security, MLOps, FinOps, or GreenOps certifications.

WHAT YOU'LL DO?

o Design, host, and operate secure, scalable, reliable, compliant, and cost-efficient infrastructure across Azure, AWS, or GCP.

o Support applications, APIs, data platforms, AI solutions, and experimental workloads across all environments.

o Build and maintain CI/CD pipelines with automated testing, security validation, deployment, rollback, and release controls.

o Automate infrastructure and operational workflows using Terraform, Ansible, Python, Bash, or PowerShell.

o Design and maintain containerized environments using Docker and Kubernetes.

o Establish reusable platform patterns and self-service capabilities for engineering and product teams.

o Implement observability across applications, infrastructure, networks, databases, containers, and AI workloads using tools such as Prometheus, Grafana, OpenTelemetry, ELK, Azure Monitor, AWS CloudWatch, or equivalent.

o Manage centralized logging, monitoring, alerting, incident response, troubleshooting, root-cause analysis, recovery, backup, and disaster recovery.

o Deploy and operate ML, GenAI, RAG, LLM, model-serving, inference, and agentic workloads.

o Support MLOps and LLMOps practices including model deployment, versioning, monitoring, evaluation, rollback, prompt management, and lifecycle automation.

o Secure AI workloads, APIs, secrets, data, model artifacts, endpoints, and access controls.

o Apply FinOps and GreenOps principles to optimize cloud cost, resource utilization, AI inference, GPU/CPU usage, storage, data transfer, and sustainability.

o Implement DevSecOps controls including vulnerability scanning, secrets detection, dependency checks, container security, infrastructure-policy validation, and least-privilege access.

o Support cloud governance, security reviews, compliance activities, auditability, patching, hardening, and vulnerability remediation.

o Evaluate emerging infrastructure, automation, observability, AI, and platform technologies.

o Convert incidents and recurring issues into automation, documentation, architectural improvements, and preventive controls.

o Continuously improve deployment velocity, developer experience, reliability, security, cost efficiency, and operational resilience.