Principal Engineer - DevOps

This role is for one of Weekday’s clients
Salary range: Rs 1800000 - Rs 3200000 (ie INR 18 - 32 LPA)

Min Experience: 8+ years
Location: Mumbai, Maharashtra, India
JobType: full-time

We are looking for an experienced Principal Engineer – DevOps to lead the design, implementation, and optimisation of scalable, highly available cloud infrastructure. The ideal candidate will have strong expertise in cloud platforms, Linux administration, automation, microservices architecture, and enterprise application operations. This role involves building and maintaining robust infrastructure for web, mobile, and big data applications while driving operational excellence, performance optimisation, and infrastructure automation across multi-cloud environments.

Requirements

Key Responsibilities

• Design, implement, and manage scalable cloud infrastructure to support web, mobile, and big data applications.
• Architect and optimise high-volume, distributed microservices environments across multiple cloud platforms, including AWS, Microsoft Azure, Google Cloud Platform (GCP), IBM Cloud, and Alibaba Cloud.
• Scale and optimise SQL and NoSQL databases, particularly MongoDB, along with web servers, application frameworks, caching systems, and distributed messaging platforms.
• Automate the provisioning, deployment, configuration, and management of virtualised infrastructure and end-to-end software stacks.
• Develop and maintain robust backup, disaster recovery, and restoration strategies, ensuring minimal Recovery Time Objective (RTO) and Recovery Point Objective (RPO).
• Manage and support Linux/Unix-based servers hosting SaaS applications across multi-cloud environments.
• Establish processes to identify performance bottlenecks, infrastructure limitations, and scalability challenges.
• Build and maintain comprehensive monitoring, logging, and alerting systems to ensure infrastructure reliability and service availability.
• Drive continuous improvement by evaluating and implementing tools that automate routine operational tasks and enhance development operations.
• Design and implement high-availability architectures, auto-scaling, and automated failover mechanisms with minimal manual intervention.
• Lead database performance optimisation, query analysis, capacity planning, and database redesign initiatives.
• Establish and enforce DevOps best practices across deployment automation, Continuous Integration and Continuous Deployment (CI/CD), infrastructure management, and production operations.
• Ensure enterprise applications operate reliably in always-on, high-availability environments.

Must-Have Skills

• DevOps Engineering
• Amazon Web Services (AWS)
• Cloud Infrastructure Architecture
• Linux/Unix Administration
• Microservices Architecture
• Infrastructure Automation
• CI/CD and Deployment Automation
• Database Performance Optimisation

Good-to-Have Skills

• Python and Shell Scripting
• Terraform
• Apache Kafka
• MongoDB and NoSQL Databases
• Monitoring Tools: Zabbix, Nagios, and AWS CloudWatch
• Configuration Management Tools: Jenkins, Maven, Puppet, Chef, and GitLab
• Web Technologies: Apache Tomcat and Nginx
• Caching Mechanisms and Distributed Messaging Systems

Requirements and Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related discipline.
• 8–10 years of experience designing, implementing, and maintaining high-volume, scalable microservices architectures on cloud infrastructure.
• Strong expertise in Linux/Unix administration and Python or Shell scripting.
• Extensive hands-on experience with AWS services, including EC2, ELB, S3, Auto Scaling, VPC, and Lambda; exposure to GCP and Azure is also expected.
• Proven experience in deployment automation, CI/CD pipelines, infrastructure configuration, and monitoring solutions.
• Knowledge of Java Virtual Machines (JVM), enterprise application development, maintenance, and production operations.
• Strong understanding of IT operations and best practices for delivering always-available services.
• Excellent communication, problem-solving, judgement, and decision-making skills.