Hybrid Senior Associate Cloud SRE

at Datavail

• Job title: Senior Associate Cloud SRE
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Docker, EC2, Kubernetes, Python, Splunk, Terraform, Go
• Location requirements: Hybrid, Mumbai, India

About the role

• Site Reliability Engineer delivering AWS managed services support with a focus on system stability and automation. Collaborating with teams to resolve complex operational challenges in a hybrid role.

Responsibilities

• Deliver tier two cloud operations managed services support for AWS environments
• Provide 24x7x365 tier two support and escalation handling for AWS environments
• Execute complex operational tasks including: Patching and managing Amazon Machine Images (AMIs)
• Creating and configuring EC2 instances and RDS databases
• Managing IAM roles, users, and policies
• Configuring S3 bucket policies and Access Control Lists (ACLs)
• Opening and managing network routes
• Restoring snapshots and database backups to lower environments
• Increasing disk sizes and managing storage optimization
• Implementing proper tagging for environment identification and cost allocation
• Managing logs archiving and retention policies
• Handle escalations from tier one support with deep technical analysis
• Provide root cause analysis for complex incidents and recurring issues
• Implement and maintain Service Level Indicators (SLIs) and Service Level Objectives (SLOs)
• Lead tier two incident response, performing advanced troubleshooting and resolution
• Conduct thorough post-incident analysis with actionable remediation plans
• Reduce reactive work by improving runbooks, alert configurations, and standard operating procedures
• Apply reliability engineering best practices with oversight and review
• Mentor tier one engineers during incident response
• Build and maintain CI/CD pipelines for infrastructure and application deployments
• Automate complex operational tasks including patching, backups, and environment provisioning
• Develop infrastructure automation using Terraform or equivalent IaC tools
• Create sophisticated scripts and tooling to eliminate manual toil and improve operational efficiency
• Follow established patterns and contribute continuous improvements
• Document automation processes for knowledge sharing
• Deploy and operate containerized workloads using Docker on AWS services (ECS, EKS, or other managed container platforms)
• Support container reliability through proper health checks, autoscaling configurations, and resource management
• Implement safe deployment patterns (canary deployments, blue/green deployments)
• Troubleshoot complex containerization and orchestration issues
• Configure and maintain comprehensive monitoring, logging, and alerting systems
• Leverage observability data to identify issues and lead root cause analysis
• Contribute to performance tuning and cost optimization initiatives
• Ensure proper instrumentation and telemetry across AWS environments
• Identify patterns and trends to prevent future incidents
• Build custom dashboards and reports for operational insights
• Work closely with customer development and operations teams
• Participate in design reviews and reliability assessments
• Communicate technical concepts, tradeoffs, and recommendations clearly to stakeholders
• Provide regular operational updates and service reports
• Act as technical liaison between customers and internal engineering teams

Requirements

• 4 to 8 years of experience in DevOps, SRE, or production operations roles
• Proven experience operating production systems in AWS environments
• Demonstrated experience managing containerized applications in production
• Experience delivering managed services or supporting customer-facing infrastructure
• Track record of handling complex technical escalations
• Strong working knowledge of EC2, RDS, S3, IAM, VPC, CloudWatch, and related services
• Hands-on experience with Docker and container orchestration platforms (ECS, EKS, or managed Kubernetes)
• Proficiency with Terraform or equivalent tools
• Experience building and maintaining automated deployment pipelines
• Proficiency in Python, Go, Bash, or similar languages
• Experience with observability tools (CloudWatch, Datadog, Splunk, ELK, or similar)
• Proficiency with Git and collaborative development workflows
• Advanced diagnostic and problem-solving capabilities
• Experience with 24x7 operations and tier two escalation support

Benefits

• Health insurance
• Paid time off
• Flexible work arrangements