Booking.com

Senior Site Reliability Engineer I

Bengaluru, India
Python Go Puppet Kubernetes Elasticsearch Cassandra Kafka Java Perl Ruby
Description
Our mission at Booking.com is to create transformative, innovative, and personalized travel experiences for millions of customers all across the world. We want customers to have an amazing experience wherever and whenever they choose: mobile, web, and through partners and 3rd parties. About the team - Private cloud: The Private Cloud group operates, orchestrates, and optimizes Booking-managed cloud infrastructure. The Private Cloud capabilities are provided on platform instances that are privately owned and centrally managed by Booking.com. These platform instances, and the workloads running on them, are hosted both in Booking datacenters (“on-premises”) and on public cloud infrastructure (AWS). The Private Cloud platform has three primary internal customer-facing verticals: virtualization, containerization, and serverless, corresponding to the three types of workloads it supports. At the highest level, the Booking Private Cloud drives three primary business outcomes: Agility in provisioning and using cloud infrastructure. Efficiency in cost and utilization of cloud infrastructure, as well as toil reduction for developers and engineers. Trust in the safety, reliability, and performance of our cloud infrastructure. Key Job Responsibilities and Duties: The core premise for the Booking SRE lies in treating operational issues as a software problem. We code our way out of problems where operations are concerned addressing availability, scalability, latency, and efficiency challenges within the vast infrastructure here at Booking. You will impact millions of people all over the globe with your creative solutions You work in one of the biggest e-commerce companies in the world You will solve exciting problems at scale by writing and deploying code across tens of thousands of servers You will have the opportunity to collaborate with many of the world’s leading SREs You will be free to launch your own ideas and solutions within our sophisticated production environment Here are some of the tools and technologies we use to achieve this: Python, Go, Puppet, Kubernetes, Elasticsearch, Prometheus, HAProxy, Cassandra, Kafka etc What you’ll be doing: Design, develop and implement software that improves the stability, scalability, availability and latency of the Booking.com products; Take ownership of one or more services and have the freedom to do what is best for our business and customers; Solve problems occurring with our highly available production systems and build solutions and automation to prevent them from happening again; Build effective monitoring to supervise the health of your system, and jump in to handle outages; Build and run capacity tests to manage the growth of your systems; Plan for reliability by designing systems to work across our multinational data centers; Develop tools to assist the product development teams with successfully deploying 1000s of change sets every day; Be an advocate of engineering standard processes; Share the on-call rotation and be an escalation contact for incidents: Contribute to Booking.com's growth through interviewing, on-boarding, or other recruitment efforts. What you’ll bring: 8 years + Experience with building, operating and maintaining sophisticated and scalable systems and with operations automation; Solid experience in at least one programming language. We use Java, Python, Go, Ruby, Perl; Experience with Infrastructure as Code technologies; Knowledge of cloud computing fundamentals; Solid foundation in Linux administration and troubleshooting; Understanding of Service level agreements and objectives; Additional experience in OpenStack, Kubernetes, Networking, Security or Storage is desirable; Supervising / observability technologies like Prometheus, Graphite, Grafana, Kibana, Elasticsearch are a plus; Good interpersonal skills Proficient command of the English language, both written and spoken Pre-Employment Screening If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.





Booking.com
Booking.com

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