Senior Site Reliability Engineer - AI-Driven Cloud Solutions

Crossover • India
Remote
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AI Summary

Develop AI-enhanced monitoring systems, design AI-automated CI/CD pipelines, and collaborate with a global team to deliver next-generation operational excellence.

Key Highlights
Deploy AI-based monitoring services to detect and resolve issues before operational impact
Oversee AI-driven CI/CD pipelines to improve deployment efficiency and minimize manual intervention
Collaborate with a global team to deliver next-generation operational excellence
Technical Skills Required
AWS GCP AI and machine learning tools Programming and scripting capabilities Automation of CI/CD pipelines and infrastructure management
Benefits & Perks
Salary: $100,000 USD/year
Remote work: 100% global remote
Independent contractor agreement with Crossover as a Contractor of Record

Job Description


Traditional site reliability teams face ongoing challenges with manual monitoring, reactive troubleshooting, and time-consuming deployment processes. While AI offers a path forward, many organizations underutilize its capabilities, leading to suboptimal system performance and innovation roadblocks. Research indicates that 73% of organizations experience deployment delays and operational downtime, largely attributable to legacy processes and insufficient AI-driven automation.

IgniteTech addresses these challenges directly by developing AI-first cloud solutions engineered to predict and prevent issues proactively. Our approach embeds AI and machine learning throughout cloud infrastructure management—from automated monitoring frameworks to intelligent CI/CD pipelines. This methodology produces environments that self-heal and continuously adapt, minimizing downtime, enhancing performance, and expanding the capabilities of cloud services.

This role differs from conventional site reliability positions centered on reactive problem-solving and manual intervention. In this capacity, you'll spearhead the development of AI-enhanced monitoring systems capable of detecting and resolving 95% of issues before end users are affected. You'll also design and oversee AI-automated CI/CD pipelines that cut deployment times by 30% while dramatically reducing manual tasks. The successful candidate excels in AI-driven environments, embraces automation-first strategies, and relishes advancing cloud infrastructure design.

You'll collaborate with a global team of innovators reshaping cloud infrastructure. Your contributions will be central to our objective of delivering next-generation, AI-driven operational excellence. We seek someone passionate about AI and prepared to influence the future of cloud services meaningfully. If this describes you, we invite your application to join this transformative initiative.

What You Will Be Doing

  • Deploying AI-based monitoring services that automatically detect, predict, and resolve issues before operational impact occurs
  • Overseeing CI/CD pipelines with AI-driven automation to improve deployment efficiency and minimize manual intervention

What You Won’t Be Doing

  • Concentrating exclusively on manual monitoring, troubleshooting, and system maintenance; your objective will be to enable AI to perform these functions

Senior Site Reliability Engineer Key Responsibilities

  • Deliver seamless scalability and performance optimization for AI-powered cloud services, maintaining 99.99% uptime while providing AI-enhanced software upgrades and customizations aligned with clients' changing requirements

Basic Requirements

  • AI-First Mindset (if your default approach is to write code first and subsequently use AI tools to verify or enhance your code, rather than the reverse, then please do not apply)
  • Minimum of 3 years of DevOps experience, including automation of CI/CD pipelines and infrastructure management
  • Minimum of 2 years of experience with Amazon Web Services (AWS) or Google Cloud Platform (GCP)
  • Proficiency in AI and machine learning tools for monitoring, automation, and predictive analytics (or demonstrated willingness to learn and adapt to AI-driven technologies)
  • Strong programming and scripting capabilities, with experience automating tasks and developing AI-driven processes

About IgniteTech

World-class talent. 100% global remote.

Ready to be a part of the top talent that IgniteTech has curated from thousands of applicants throughout the world? Come join us.

Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re big believers in the remote-work-from-anywhere lifestyle, which creates freedom for our team members and enables us to hire the best and brightest from around the world. A career with IgniteTech is challenging and fast-paced and we’re always looking for energetic and enthusiastic team members.

We’re an Affirmative Action and Equal Opportunity employer and we value the strength that diversity brings to our workplace.


There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you!

Working with us

This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $50 USD/hour, which equates to $100,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic.

Crossover Job Code: LJ-4728-IN-Bengalur-SeniorSiteReli.013


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