02 Nov
|
Weekday AI
|
Bengaluru
02 Nov
Weekday AI
Bengaluru
This role is for one of Weekday’s clients Salary range: Rs 1500000
- Rs 3000000 (ie INR 15
- 30 LPA) Min
Experience:
7+ years
Location:
Bengaluru, Karnataka, India JobType: full-time We are looking for an experienced Lead DevOps Engineer with strong expertise in cloud infrastructure, automation, CI/CD, containerization, and Site Reliability Engineering (SRE). The ideal candidate will have deep, hands-on experience designing and managing large-scale cloud environments, building robust deployment pipelines, strengthening security practices, and ensuring the reliability and scalability of production systems. The candidate should demonstrate strong scripting capabilities, infrastructure-as-code expertise, and the ability to lead technical initiatives while mentoring engineers and collaborating across teams.
Key Responsibilities
• Design, implement, and manage scalable, secure, and highly available cloud infrastructure across AWS and other cloud platforms.
• Develop automation scripts using Python and/or Bash to streamline infrastructure operations and deployment workflows.
• Build and maintain Infrastructure as Code (IaC) solutions using Terraform and/or Ansible.
• Design, implement, and govern Jenkins CI/CD pipelines, ensuring efficient build, testing, integration, and deployment processes.
• Manage production environments using Docker, Kubernetes, and OpenShift.
• Establish and improve observability frameworks, monitoring systems, and SRE practices to ensure platform reliability and performance.
• Own and strengthen cloud security posture, particularly across AWS infrastructure.
• Manage advanced cloud networking components, including routing, Transit Gateways, Site-to-Site VPNs, and Client VPNs.
• Collaborate with data and analytics teams to support platforms and tools such as Lakehouse,
Data Warehouses, Databricks, Amazon QuickSight, and Power BI.
• Drive technical decision-making, mentor team members, and coordinate with cross-functional teams to deliver infrastructure initiatives.
• Identify opportunities to improve infrastructure efficiency, scalability, security, and operational performance. Required Skills and Expertise
• Strong scripting experience in Python and/or Bash.
• Deep, architecture-level, hands-on expertise in AWS, with experience in Azure or other cloud platforms.
• Strong understanding of multi-cloud architecture and infrastructure management.
• Expertise in Infrastructure as Code using Terraform and/or Ansible.
• Proven experience designing and governing Jenkins CI/CD pipelines.
• Strong knowledge of Git and version control practices.
• Production-level experience managing Docker, Kubernetes, and OpenShift environments.
• Hands-on experience with observability frameworks, monitoring, and SRE practices.
• Strong understanding of AWS security posture management and cloud security best practices.
• Knowledge of advanced cloud networking, including routing, Transit Gateways, Site-to-Site VPN, and Client VPN.
• Familiarity with Lakehouse architecture, Data Warehousing, Databricks, QuickSight, and Power BI.
• Robust leadership, mentoring, problem-solving, and cross-team collaboration skills. Preferred Skills
• Experience implementing and managing AIOps solutions at scale.
• Deep multi-cloud expertise across AWS, Azure, and GCP.
• Experience managing FinOps practices and cloud cost optimization at an organizational scale.
• Exposure to large-scale cloud infrastructure and enterprise DevOps environments. Must-Have Skills
• Python
• Bash
• AWS Good-to-Have Skills
• FinOps
• AWS DevOps
• OpenShift
📌 Lead DevOps Engineer (Bengaluru)
🏢 Weekday AI
📍 Bengaluru