Senior Engineer - Site Reliability Engineering

Madrona Venture Labs; Bengaluru; On-site; INR 4,800,000 - 7,000,000; Full time

Job summary

MontyCloud seeks a Senior Site Reliability Engineer to elevate the reliability, scalability, and performance of its cloud management platform. You will design automation, monitor SaaS infrastructure, and guide incident response while collaborating with cross-functional teams.

You will implement best practices in disaster recovery, chaos engineering, and post-mortem learning, maintaining high reliability and continuous improvement across production systems.

Qualifications

• 5+ years of SRE experience on SaaS platforms.
• 3+ years of AWS management and optimization.
• Experience with automation/configuration management tools.
• Experience with incident management and on-call rotations.

Responsibilities

• Design and implement automation for cloud infra monitoring and reliability.
• Collaborate with SREs and cross-functional teams to prevent issues.
• Monitor health and performance of cloud services and apps.
• Participate in on-call rotation and incident response.
• Champion disaster recovery, chaos engineering, and post-mortems.

Skills

Problem-solving

AWS

Python

Disaster recovery

Incident management

On-call rotations

Cloud monitoring

Reliability engineering

Automation

SRE best practices

Post-mortem analyses

Education

Bachelor’s or Master’s in Computer Science/Engineering or related field

Tools

Ansible

Puppet

Chef

Splunk

New Relic

Datadog

AWS CloudWatch

AWS X-Ray

Jenkins

GitLab CI

Job description

MontyCloud is actively seeking a Senior Engineer - Site Reliability Engineering (Senior SRE) to elevate the reliability, scalability, and performance of our cloud management platform. You will be at the forefront of developing and maintaining sophisticated tools and systems to automate and optimize the management and monitoring of our cloud infrastructure and applications. Your expertise will be instrumental in guiding our operational practices towards excellence and innovation.

Key Responsibilities

• Design and implement sophisticated automation solutions for the management and monitoring of our cloud infrastructure and applications, with a focus on enhancing the reliability and performance of our SaaS platform.
• Proactively collaborate with other SREs and cross-functional teams to preemptively address potential issues, maintaining the highest standards of reliability for our platform.
• Monitor the health and performance of our cloud infrastructure and applications, implementing advanced strategies for troubleshooting and optimization.
• Participate in the on-call rotation, offering expert response and resolution to incidents and issues.
• Champion best practices in reliability engineering, including disaster recovery, chaos engineering, and incident response, to foster a culture of continuous improvement.
• Lead by example in conducting thorough post-mortem analyses, ensuring lessons learned are integrated into future operations.
• Excellent communication skills, capable of working independently and collaboratively within a dynamic team environment.

Desired Skills and Requirements

Must Have

• Problem-solving skills
• Cloud: AWS
• Scripting: Python
• Automation/Configuration Management: Ansible, Puppet, Chef
• Monitoring/Observability: Splunk, New Relic, Datadog, AWS CloudWatch, AWS X-Ray
• Disaster recovery and incident management

Good-to-Have

• General Dev Experience: Application development (any stack)
• CI/CD: (Implied but not specified — any experience with Jenkins, GitLab CI, etc. is a plus)
• Chaos Engineering Tools: (e.g., Gremlin, Chaos Monkey — not explicitly mentioned but implied)

Experience

• 5 years of experience as an SRE, specifically within a SaaS platform environment, demonstrating a clear understanding of the unique challenges and opportunities in SaaS.
• 3 years of experience specifically in managing and optimizing SaaS platforms.
• 3 years of expert knowledge and hands-on experience with AWS.
• 4 years of experience using automation tools like Ansible, Puppet, or Chef.
• 4 years of experience with scripting in Python or similar languages.
• 3 years of experience using tools like Splunk, New Relic, Datadog, AWS CloudWatch, or AWS X-Ray.
• 3 years of experience leading disaster recovery efforts in current and previous roles.
• 3 years of experience implementing chaos engineering practices in live environments.
• 4 years of active involvement in on-call rotations and incident management.
• 4+ years of end-to-end application development experience, showcasing familiarity with the complete software development lifecycle and a strong ability to design, implement, and deploy functional, scalable applications.
• 3 years of experience leading post-mortem analysis sessions following major incidents.

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent hands‑on experience in building and operating large-scale cloud/SaaS platforms.