Hadapsar, IND
8 days ago
Senior DevOps Engineer
**What you’ll do:** Experienced senior DevOps Engineer to lead and elevate our cloud infrastructure, DevOps practices, and site reliability engineering initiatives. The ideal candidate will have a proven track record of managing cloud platforms, container orchestration, modern CI/CD workflows, and automation solutions. This role requires a balance of technical depth, leadership skills, and collaboration across teams. The position is designed for those who thrive in a hybrid work environment and are excited to tackle complex infrastructure challenges. "Key Responsibilities: • Cloud Infrastructure: Architect, deploy, and maintain scalable Azure cloud-based infrastructures. • Kubernetes & Containers: Design, deploy, and manage Kubernetes clusters and containerized environments with an emphasis on high availability, fault tolerance, and scalability. • CI/CD Pipeline Management: Lead the design and implementation of modern CI/CD pipelines using platforms like Github Actions, Azure Devops, Jenkins, or similar. • Infrastructure as Code (IaC): Develop and manage infrastructure automation using tools such as Terraform, Ansible, and other IaC solutions to ensure consistency, scalability, and agility. • DevOps Optimization: Extend solutions to optimize cloud infrastructure and DevOps workflows, driving continuous improvements. • Performance & Cost Optimization: Continuously optimize cloud infrastructure for performance, cost efficiency, and security, ensuring sustainable scalability. • Troubleshooting: Troubleshoot and resolve complex infrastructure and application issues, minimizing downtime and ensuring high system reliability. • Scripting & Automation: Develop and maintain scripts and automation tools in Bash/Shell, Python, or Go to streamline operations. • Networking & Security: Apply networking fundamentals (DNS, firewalls, load balancing, virtual networks, private endpoints) to improve system architecture and ensure security compliance. • Collaboration & Mentorship: Collaborate with cross-functional teams to enhance developer productivity, system reliability, and operational efficiency. Mentor and guide team members, promoting best practices in DevOps and cloud operations. • Compliance & Monitoring: Ensure infrastructure and systems adhere to security, compliance, and monitoring standards, with a focus on proactive management. **Qualifications:** B.E. (10+6 Years) 6-8 Years • 6 to 8 years in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE). **Skills:** Azure DevOps, DevSecOps Excellent communication skills and the ability to work with various cultures across the globe • Proven experience in deploying and managing large-scale cloud infrastructure on Azure, AWS, or GCP. • Kubernetes and containerization technologies (Docker, Helm, etc.) • Strong experience with modern CI/CD tools like Github actions, Azure Devops, Jenkins, or similar platforms. • Proficiency in scripting languages such as Bash/Shell and programming languages like Python or Go. • Hands-on experience with Terraform and Ansible for infrastructure automation and configuration management. • Solid understanding of Linux administration and networking principles (DNS, firewalls, load balancing, Vnet etc.). • Expertise in cloud performance optimization, cost control, and security best practices. • Ability to drive cloud, performance and cost and DevOps optimizations. • Excellent problem-solving and troubleshooting abilities, particularly in large-scale and distributed systems. • Exceptional communication and collaboration skills, able to work across teams and geographies. • Strong leadership abilities with a focus on mentoring and fostering a culture of continuous improvement. • Adaptable to a hybrid work environment, balancing remote and office-based work. • Passionate about learning and staying up to date with emerging technologies in the DevOps and cloud ecosystem. • Certification in Azure Cloud would be added advantage. • Experience with observability tools like Dynatrace, Prometheus, Grafana, ELK stack, or Datadog. • Familiarity with microservices and service mesh technologies. • Proven experience in leading large-scale migration or cloud transformation projects."
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