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.
Requirements
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.
- Strong 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