Senior Site Reliability Engineer

MontyCloud; Bengaluru; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

MontyCloud invites a Senior Engineer - Site Reliability Engineering (Senior SRE) to elevate the reliability, scalability, and performance of our cloud management platform. You will design and maintain automation for monitoring and management of cloud infrastructure and applications.

The role requires strong SRE experience in SaaS, hands-on AWS, Python scripting, and configuration management with Ansible, Puppet, and Chef.

Qualifications

• 5+ years of experience as an SRE in a SaaS environment.
• 3 years of experience managing and optimizing SaaS platforms.
• 3 years of expert knowledge with AWS.
• 4 years of experience using automation tools like Ansible, Puppet, or Chef.
• 4 years of experience with Python scripting.
• 3 years of experience with monitoring/observability tools (Splunk, New Relic, Datadog, CloudWatch, AWS X-Ray).
• 3 years of experience leading disaster recovery efforts.
• 3 years of experience implementing chaos engineering in live environments.
• 4+ years of end-to-end application development experience.
• 3 years of experience leading post-mortem analyses.

Responsibilities

• Design and implement automation for management and monitoring of cloud infrastructure and applications, focusing on reliability and performance.
• Collaborate with SREs and cross-functional teams to preemptively address issues and uphold high reliability.
• Monitor health and performance of cloud infrastructure and applications, optimizing troubleshooting strategies.
• Participate in on-call rotation and provide expert incident response.
• Champion best practices in reliability engineering, including disaster recovery and chaos engineering.
• Lead post-mortem analyses to ensure lessons are applied in future ops.
• Communicate effectively, work independently and with a dynamic team.

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
• 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.