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Site Reliability Engineer (On-Prem)

66degrees
Company66degrees
CategoryEngineering
LocationPune
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted3 Jul 2026
Last verified31 Jul 2026
SourceEmployer career page (greenhouse)
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Description
Overview of 66degrees 66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential. At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way. Overview of Role 66degrees’ Managed Cloud Optimization (MCO) team works with some of the largest cloud users in the world to help them transform their businesses with technology. Our Site Reliability Engineers (SREs) combine Google Cloud Platform expertise with a passion for devops methodologies to help our clients maintain, optimize, and scale their cloud implementations.  On a daily basis, our SREs work with varied and exciting customers on topics ranging from solving critical outages to designing and deploying new cloud workloads to building self-healing automation. Our SREs work with cutting-edge Google Cloud technologies like Google Kubernetes Engine (GKE), Anthos, BigQuery and data pipelines, as well as leading 3rd party tools like Prometheus, Datadog, and many others. Our SREs also work with languages like Python and Terraform to create automation, deploy infrastructure, and contribute to open-sourcing. If you’re looking to continually build and apply your Google Cloud expertise to new and varied environments while acting as a key contributor to building the best Google consulting partner in the industry – let’s talk. Responsibilities Our ideal candidate will understand the value of teamwork. We are looking for the right fit with our rapidly growing organization and will invest in training. Ensure near-zero downtime with monitoring and alerting, self-healing automation, and continuous improvement using scripting languages such as Python and shell scripting Create highly automated, available and scalable systems by applying software and infrastructure principles Strong experience managing and supporting on-premises infrastructure environments, including networking, firewalls, load balancers, storage systems, and enterprise operations, along with hands-on experience in hybrid cloud architectures integrating on-premises datacenters with google cloud platform Employ and advise clients on DevOps and SRE principles and practices, covering deployment pipelines, HA, service reliability, technical debt, and operational toil for live services running at scale Provide a proactive approach to our clients’ workloads, anticipating failures, automating tasks, ensuring availability, and providing a great customer experience Understanding of CVE management, risk prioritization, and remediation workflows Knowledge of security hardening standards and best practices for Linux, Windows, Kubernetes, and cloud environments Work closely with clients, your team, and Google engineers to investigate and resolve infrastructure issues Contribute to ad-hoc initiatives such as writing documentation, open-sourcing, and improving operation, making a huge impact at a rapid-growth Google Premier Partner Qualifications Minimum 3+ years of cloud and infrastructure experience, including demonstrated expertise with Linux, Windows, k8s, databases, and networking services 2+ years of Goog
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