For over 31,000 growing businesses and HR teams seeking a comprehensive, all-in-one HR suite, Workable emerges as the premier solution. We uniquely combine the world’s most widely adopted Applicant Tracking System (Workable Recruiting) with a full-spectrum employee management system (Workable HR). At Workable, we empower companies to focus on what truly matters: hiring the right people and fostering their growth.While we take HR seriously, we maintain a lighthearted and collaborative culture. At Workable, you’ll find smart people who have fun, learn, innovate, and help others do the same. We respect everyone, we hire the best, and make sure every experience is special.We’re growing fast and we want to make sure that we scale from thousands to hundreds of thousands so we’re looking for a Lead Site Reliability Engineer to join our SRE team.Our product is built with a microservices architecture deployed on the Kubernetes platform. Our SRE team is responsible for deploying, monitoring, optimizing, and securing our cloud infrastructure and company software; both rapidly expanding. Automation is at the core of what we do. If you love working with new technologies, open-source software, and solving complex problems on highly distributed systems then this is the job for you! You will be part of a talented team of engineers that demonstrate superb technical competency, delivering mission-critical infrastructure and ensuring the highest levels of availability, performance, and security.  ResponsibilitiesAs a Lead Site Reliability Engineer, you will be responsible for the following:<ul> <li>Guide your team to build, design and deliver high quality solutions in line with best practices of the department</li> <li>Working in a highly cross-functional team with Developers on designing, releasing and troubleshooting production systems.</li> <li>Operate, deploy and monitor cloud services from development to production.</li> <li>Develop tools and automations to make operations and deployments simpler and more robust.</li> <li>Be responsible for the availability, scalability and performance of our systems.</li> <li>Troubleshoot issues, do capacity planning, and analyze system performance.</li> <li>Lead projects across teams in the company to design and implement high impact solutions that will improve development efficiency and optimize our infrastructure. </li> </ul><ul> <li>BS/MS degree in Computer Science, Engineering (or a proven strong background)</li> <li>Excellent communication skills in English, particularly written communication.</li> <li>Analytical and troubleshooting skills on large-scale distributed systems</li> <li>Work independently and be able to deliver projects on time. </li> <li>Experience in leading small teams and delivering large cross-functional projects</li> <li>Passionate about DevOps practices and exploring new technologies</li> <li>10+ years of relevant work experience, including programming experience</li> <li>Experience with kubernetes platform and technology stack</li> <li>Experience with the networking stack especially TCP/IP, HTTP, DNS and load balancers</li> <li>Experience with Relational and NOSQL (MongoDB, Redis, Elastic, etc.) databases </li> <li>Experience with a major cloud provider (GCP and AWS preferred)</li> <li>Experience with configuration management and orchestration tools (e.g., Ansible, Terraform)</li> <li>Experience with centralized logging, monitoring systems, and tooling frameworks</li> <li>Deep knowledge of Linux systems</li> <li>Experience with at least one programming language (preferably Python, Go, Java, C++)</li> <li>Oh, and if youre into DevOps technologies and the CNCF ecosystem, but have experience with other frameworks, please do apply. We value quality engineers, not the tools theyve used.</li> </ul>Preferred qualifications:<ul> <li>Bonus: Networking skills, especially TCP/IP, HTTP, DNS and load balancers</li> <li>Bonus: Experience with Data engineering pipelines and ETLs</li> </ul>Technologies we use<ul> <li>Kubernetes and the corresponding software stack</li> <li>Terraform, Ansible and Jenkins</li> <li>PostgreSQL, Redshift, Mongo</li> <li>Redis. RabbitMQ, Kafka</li> <li>Python, Go</li> <li>Spark SQL</li> </ul>

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