SRE Devops Lead / SSE - Hybrid Mode

We are looking for Site Reliability / Cloud Engineer Devops Lead / SSE

Experience - 6 years - 12 years

Can join immediate - 30 days

Shift timing : Regular

Location : Bangalore / Hyderabad / Chennai / Noida / Pune / Gurgaon / Visakhapatnam

Interested candidates, Please share your profiles and below details to

Email ID : Shanmukh.Varma@infinite.com

Total experience :

Relevant Experience :

Current CTC :

Expected CTC :

Notice Period :

If Serving Notice Period, Last working day :

Email ID : Shanmukh.Varma@infinite.com

Job Title : Site Reliability / Cloud Engineer

Job Type : Full-time

Department : Engineering

Job Summary

We're seeking a motivated, and passionate Site Reliability Engineering (SRE) leader with strong expertise in programming, distributed systems, and Kubernetes. In this role, you'll help evolve our SRE team's Kubernetes and microservices architecture, while also supporting the integration of Agentic AI workloads both within Kubernetes and via managed services.

The SRE function plays a critical role in maintaining system visibility, ensuring platform scalability, and enhancing operational efficiency. As part of this, you'll help drive AIOps initiatives, leveraging AI tools and automation to proactively detect, diagnose, and remediate issues, enhancing the reliability and performance of Zyter’s global platform. As a cloud practictioner, you’ll have the opportunity to apply your technical strengths, shape platform reliability strategies, and collaborate closely with engineering teams across the organization. You’ll work as part of a globally distributed, inclusive team focused on AWS-based cloud infrastructure.

Key Responsibilities

Core SRE :

• Collaborate with development teams, product owners, and stakeholders to define, enforce, and track SLOs and manage error budgets.
• Improve system reliability by designing for failure, testing edge cases, and monitoring key metrics.
• Boost performance by identifying bottlenecks, optimizing resource usage, and reducing latency across services.
• Build scalable systems that handle growth in traffic or data without compromising performance.
• Stay directly involved in technical work, contributing to the codebase and leading by example in solving complex infrastructure challenges

AI Ops :

Monitoring and Alerting :

Cost Management :

Required Skills & Experience :

Preferred Qualifications