Lead - Cloud DevOps

Job Title - Cloud DevOps Lead – Specialist - ACS SONG

Management Level: Level 9 - Specialist

Location: Kochi

Must-have skills: Cloud operations leadership; installation, configuration and management of Linux systems; public cloud administration; incident and problem management

Good-to-have skills: Terraform/CloudFormation, Docker/Kubernetes, monitoring and observability tools, scripting/automation, AI adoption and AI-assisted operations, JIRA/Confluence

Experience: 5–8 years of relevant experience, including at least 2 years in a technical leadership or team-lead role

Educational Qualification: Graduation

Job Summary

As a Cloud DevOps Lead, you will provide technical leadership for an e-commerce platform running across on-premises and cloud infrastructure. You will own platform reliability, operational readiness, and technical delivery; lead the resolution of complex incidents and problems; govern production changes; and drive automation, observability, security, performance, and cost improvements. You will guide engineers, coordinate with application, infrastructure, security, and business stakeholders, and act as a trusted, client-facing technical advisor by identifying improvement opportunities and presenting clear, value-focused proposals that strengthen reliability, efficiency, security, and cost effectiveness.

Roles and Responsibilities

• Lead day-to-day cloud operations and provide technical direction, task prioritization, coaching, and escalation support to the operations team.
• Build trusted client relationships through regular technical discussions, service reviews, and advisory sessions; understand business priorities and translate them into practical cloud and operational improvement opportunities.
• Develop and present evidence-based technical improvement proposals, including the current-state assessment, recommended solution, expected business and operational benefits, risks, effort, cost considerations, and implementation roadmap; incorporate client feedback and support decisions through execution.
• Own platform availability, reliability, performance, capacity, security, and operational readiness across on-premises and public-cloud environments.
• Lead major incident response, coordinate technical recovery, communicate status to stakeholders, and ensure timely root-cause analysis and preventive actions.
• Govern problem, change, release, service-request, and configuration-management activities in line with service-level agreements and operational controls.
• Review system architecture, deployment designs, operational procedures, and technical changes to ensure scalability, resilience, supportability, and compliance.
• Define and improve monitoring, alerting, logging, dashboards, runbooks, and service health indicators to enable proactive issue detection and resolution.
• Drive automation of provisioning, deployment, maintenance, recovery, and routine support activities using infrastructure-as-code and scripting practices.
• Analyze operational trends, recurring incidents, capacity risks, and service metrics; maintain an improvement backlog and track actions to closure.
• Partner with application, DevOps, cloud, network, database, security, and vendor teams to resolve cross-platform issues and deliver technical improvements.
• Maintain technical documentation, knowledge articles, disaster-recovery procedures, and audit evidence; conduct knowledge-sharing and readiness reviews.
• Support effort estimation, technical planning, resource coordination, and stakeholder reporting for operational and transformation initiatives.
• Participate in the on-call rotation and ensure effective shift handovers, escalation paths, and operational coverage.

Professional and Technical Skills

• 5–8 years of experience in cloud or infrastructure operations, including hands-on technical leadership of production support teams.
• Expertise in installing, configuring, patching, troubleshooting, and administering Linux and Windows systems.
• Strong experience operating services on AWS, Microsoft Azure, or Google Cloud Platform, including compute, network, storage, identity, backup, and monitoring services.
• Strong knowledge of high availability, disaster recovery, capacity planning, performance tuning, security hardening, access controls, and cloud cost optimization.
• Hands-on experience with monitoring and observability platforms such as Prometheus, Grafana, Zabbix, CloudWatch, Azure Monitor, or equivalent tools.
• Experience administering and troubleshooting Java application servers such as JBoss, WebLogic, or Tomcat, including application, system, and garbage-collection log analysis.
• Practical experience with infrastructure-as-code and automation using Terraform, CloudFormation, Ansible, Python, PowerShell, Bash, or equivalent technologies.
• Working knowledge of containers and orchestration platforms such as Docker, Kubernetes, or OpenShift.
• Experience with logging and messaging platforms such as Elasticsearch/Logstash/Kibana and Kafka.
• Good working knowledge of relational and NoSQL databases, including MySQL, Oracle, PostgreSQL, DynamoDB, MongoDB, Cassandra, or Redis.
• Strong understanding of IT service-management practices covering incident, problem, change, release, configuration, knowledge, and service-level management.
• Demonstrated ability to lead troubleshooting, make sound technical decisions under pressure, mentor engineers, conduct technical reviews, and manage escalations.
• Demonstrated client-facing consulting skills, including requirements discovery, facilitation of technical workshops and service reviews, management of expectations, and confident presentation of technical improvement proposals to client stakeholders.
• Excellent written and verbal communication skills, with the ability to translate technical issues, risks, and recommendations for business and technical stakeholders.
• Experience developing automation solutions that improve operational efficiency, quality, and consistency.
• Ability to evaluate and adopt enterprise-approved AI tools for cloud operations, including AI-assisted monitoring, incident analysis, knowledge management, automation, and continuous improvement, while following security, privacy, and responsible-AI standards.
• Experience with JIRA, Confluence, ServiceNow, or equivalent service-management and collaboration tools.
• Experience working in Agile, DevOps, and site reliability engineering environments.
• Relevant cloud, Linux, Kubernetes, ITIL, or DevOps certifications are an advantage.
• A customer-focused, process-driven approach with strong ownership, analytical thinking, and continuous-improvement skills.

Additional Information       

 

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