Lead Cloud Engineer

Experience / proficiencies in multiple areas, including:

• Proficiency in at least one major public Cloud platform (GCP preferred / Azure / AWS) including deep understanding of their solution & reference architecture, services and capabilities.
• Proven experience such as Senior Cloud Engineering Architect / Cloud Platform Architect leading Enterprise scale cloud migration projects, on-prem to Public Cloud (GCP preferred, Azure, AWS).
• Hands-on experience designing, building, and maintaining Cloud infrastructure / platform components across compute, network, storage, virtualization, and container orchestration (e.g., Kubernetes)
• Proven track record of leading large-scale infrastructure upgrades and migrations in the Cloud Platform & infrastructure area.
• Proven experience driving digital transformation initiatives, including the adoption of new technologies and architecture.
• Deep understanding of Cloud IAM principles including access control models (RBAC), identity federation, single sign-on (SSO), and least privilege principles. Experience implementing security best practices in cloud environments.
• Deep understanding of Kubernetes, GKE's managed services, networking, security features, and integration with other Google Cloud Platform (GCP) services, Kubernetes orchestration
• Strong skills in Infrastructure as Code (IaC) using tools like Terraform to manage and automate infrastructure provisioning.
• Know-how of automating infrastructure provisioning and management using Ansible/Salt.
• Solid understanding of networking concepts, including VPCs, subnets, routing, and firewalls.
• Experience designing, implementing, and maintaining CI/CD pipelines using tools like Jenkins, Google Build/DevOps or Azure DevOps.
• Proven experience working in agile environments, participating in sprint planning, daily stand-ups, retrospectives, and other agile ceremonies.
• Co-ordinate with different enterprise vendors (Google, Hashi Corp, Microsoft etc.) to resolve any issue
• Collaborate with different enterprise teams (Cyber, DevOps, Platform and Database, etc.).
• Proficiency in scripting languages like Python or Bash for automating tasks and managing infrastructure.
• Design and implement comprehensive monitoring and logging solutions to ensure high availability and performance. This includes setting up and managing tools for metrics, tracing, and logging Proven ability in setting up observability using tools such as Datadog / Splunk / New Relic etc.
• Experience with tools like Prometheus, Grafana, and ELK stack, Experience with artifact repositories (Nexus, Artifactory) is beneficial.
• Excellent communication and collaboration skills to effectively work with cross-functional teams.

Desired knowledge/exposure:

• Integration of Gen AI and Agentic AI capabilities into Cloud Engineering workloads, components etc.
• Understanding of security best practices and compliance regulations related to AI in cloud environments.
• Experience in integrating LLMs for tasks such as natural language processing of logs and automated documentation generation
• Architecture approaches leveraging AI, for example: cloud infrastructure with self-healing capabilities, using AI to automatically detect and remediate issues without human intervention.
• Know-how of using AI agent for Terraform code maintenance
• AI-driven automation, monitoring (anomaly detection, prediction, capacity planning) & troubleshooting experience.

• Actively coaches and mentors junior engineers, providing technical guidance and fostering their professional growth. Motivates and challenges peers
• Proactively identifies an d analyzes operational inefficiencies and technical challenges within the cloud infrastructure. Takes initiative to develop and implement solutions that improve team effectiveness, optimize processes, and enhance overall system reliability. Develop value-adding insights, tools, and strategies
• Ability to foster a collaborative, positive, and high-performing team environment.
• Provided effective leadership and oversight to ensure the successful and timely delivery of functional and technical deliverables.
• Skilled in assigning tasks effectively, fostering autonomy and accountability within the team
• Develops innovative solutions, tools, and strategies to improve cloud infrastructure efficiency, scalability, and security. Actively seeks out and incorporates new technologies and best practices from both internal and external sources to enhance the team's capabilities. Presents information and data in a manner appropriate for the audience
• Presents complex technical information and data clearly and concisely to both technical and non-technical audiences, tailoring communication style to ensure effective understanding and engagement. Self-directed and accepts responsibility for his/her own work.
• Aligns individual and team priorities with overall business strategy and vision, ensuring that cloud infrastructure initiatives directly support organizational goals.
• Demonstrates self-direction, initiative, and accountability for individual work and the overall success of team projects. Takes ownership of tasks and proactively addresses challenges to ensure timely and high-quality delivery.
• Ability to work effectively with cross-functional teams and stakeholders.

Education

Experience