SRE Engineer with Mainframe Observability experience
SRE will play a pivotal role in driving the modernization of IT operations by implementing observability practices and automating toil. This position requires a deep understanding of Site Reliability Engineering (SRE) principles, modern observability tools, and automation techniques to ensure scalability, reliability, and efficiency in IT systems. This role requires a strategic thinker with hands-on expertise who can lead modernization efforts while fostering a culture of reliability and innovation.
Primary Responsibilities:
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Work closely with Product Engineering team and implement strategies for modernizing IT operations enhancing observability and toil reduction.
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Architect and deploy observability platforms to monitor system health, performance, and reliability effectively.
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Propose & drive strategies for AI-driven alerting and proactive anomaly detection to reduce MTTD & MTTR.
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Develop and enforce SRE best practices, including Service Level Objectives (SLOs), Service Level Indicators (SLIs), and Error Budgets.
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Establish & create AIOPS roadmap for improving operational efficiency.
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Lead efforts to automate repetitive tasks (toil) using scripting, orchestration tools, and AI/ML-based solutions.
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Drive toil automation initiatives for automated incident responses & self-healing automation for achieving autonomous operations.
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Collaborate with cross-functional teams to ensure systems are scalable, resilient, and maintainable.
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Drive incident management and root cause analysis processes through automation, ensuring continuous improvement to enable autonomous operations.
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Partner with engineering, architecture, and product teams to enable shift-left engineering practices ensuring reliability.
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Mentor and guide teams on adopting SRE principles and tools.
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Advocate for a culture of reliability, automation, and continuous improvement across the organization.
Key Skills:
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Strong expertise in implementing Site Reliability Engineering (SRE) principles.
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Advanced knowledge of establishing observability using tools – Dynatrace & Datadog (primary skills).
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Proficiency in automation & scripting using Python & Ansible (primary skills).
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Strong experience with cloud platforms – AWS & Azure (primary skills).
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Solid understanding of containerization and orchestration tools like Docker and Kubernetes.
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Proficiency in cloud native distributed systems & microservices architecture.
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Exposure to AI/ML techniques for predictive analytics and automated problem resolution.
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Familiarity with CI/CD pipelines & enabling automated release & deployment engineering solutions.
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Good to have experience with chaos engineering tools like Gremlin or Chaos Monkey and implementing automation frameworks for resilience tracking.
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Ability to manage and prioritize multiple projects in a fast-paced environment.
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Strong interpersonal and communication skills to work effectively across teams.
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Excellent problem solving, analytical thinking, and adaptability.
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Strategic mindset balancing engineering excellence with business priorities.
Preferred Qualifications:
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12+ years of experience in IT operations, SRE, or DevOps roles.
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Proven track record of SRE experience in implementing observability and automation solutions in large-scale environments.
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Certifications in cloud platforms, observability tools & other SRE related areas.
