Staff Site Reliability Engineer - Confluent Cloud Infrastructure (Bengaluru)

Staff Site Reliability Engineer - Confluent Cloud Infrastructure (Bengaluru)

02 Aug
|
IBM
|
Bengaluru

02 Aug

IBM

Bengaluru

Introduction At IBM Software, we transform client challenges into solutions. Building the world’s leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale.

Working in Software means joining a team fueled by curiosity and collaboration. You’ll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape.

Here, you’ll have the tools and opportunities to advance your career while creating software that changes the world.

Your Role And Responsibilities Confluent Cloud processes millions of events per second across AWS, GCP, and Azure. When incidents happen in a multi-cloud streaming platform, they happen at scale—data in motion, exactly-once semantics, and cascading failure modes that require deep systems thinking. We need an expert-level engineer who can drive proactive reliability improvements that prevent these incidents before they occur.

This role combines hands-on technical work with strategic program ownership. You'll spend roughly 75% of your time on engineering: building automation, improving tooling, analyzing systemic failure patterns, and designing reliability improvements. The remaining 25% is teaching and coordination: coaching teams through post-mortems, training incident commanders, and evolving our incident response practices.

You'll be part of a global team with follow-the-sun coverage, with clean handoffs that keep everyone working sustainable hours. Confluent has 800-1000 engineers across highly autonomous teams.



This role sits within Cloud Architecture and Reliability - Supportability (CAR-S), a horizontal team that owns reliability standards and tooling across engineering.

You're the person who makes us need incident management less.

What You Will Do Proactive Reliability Engineering (~75% of role)

Analyze systemic failure patterns and design improvements that prevent incident recurrence

Define and maintain SLO/SLA frameworks; use error budgets to guide reliability investments

Build tooling and automation to reduce incident response toil and scale team impact

Own Rootly configuration, workflows, and integrations with PagerDuty, Jira, Confluence, and Slack

Analyze reliability data to identify systemic improvements; build dashboards that drive action

Explore AI-assisted approaches to documentation quality and incident analysis

Design scalable reliability standards that reduce reactive workload over time.

Incident Management Program (~25% of role)

Own standards, practices, and continuous improvement of incident response

Serve as an on-call Incident Commander for production incidents, including acting as escalation IC when incidents exceed a team's management chain

Develop and deliver training programs for engineering teams at all levels

Coach teams through post-mortems and on developing actionable corrective actions

Customer Root Cause Analysis (CRCA)





Edit and review customer-facing incident documents to ensure quality and clarity

Drive turnaround SLAs while maintaining technical accuracy

Ensure clear explanation of what happened, why, and how we'll prevent recurrence

Cross-Team Leadership

Partner with engineering leaders to elevate reliability practices

Be the expert who teams proactively engage for guidance Preferred Education Master's Degree Required Technical And Professional Expertise 10+ years in SRE, incident management, or reliability engineering

Cloud experience with at least one of AWS, GCP, or Azure·

Deep expertise with incident management tooling (Rootly, PagerDuty, or similar platforms)

Strong understanding of distributed systems and failure modes at scale—Kafka/event streaming expertise preferred, or demonstrated rapid mastery of complex systems

Deep experience with observability: metrics, logging, tracing—ability to diagnose complex issues

Kubernetes and container orchestration experience

Understanding of CI/CD pipelines and release processes

Systems thinking: understanding how infrastructure design choices affect failure modes and recovery

Familiarity with SLO/SLA frameworks.

Track record as a trusted advisor across engineering organizations

Experience driving org-wide process and cultural changes

Robust written communication (design docs, one-pagers, runbooks)

Post-mortem facilitation experience

Experience with async collaboration across time zones

Large company experience navigating reliability/incident programs at 500+ engineer organizations· Preferred Technical And Professional Experience Multi-cloud experience (minimum 2+ of AWS/GCP/Azure).

Modern CI/CD, GitHub, AI-assisted workflows—you'll have the freedom to build what you need.

📌 Staff Site Reliability Engineer - Confluent Cloud Infrastructure (Bengaluru)
🏢 IBM
📍 Bengaluru

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