DevOps Engineer

2 months ago

Bengaluru, India Near Full time

Description

You will be joining Near, one of the fastest growing Enterprise SaaS companies and experience a true start-up culture with the freedom to experiment and innovate. At Near, we believe that great culture is not just about work; it’s work + life. We not only encourage our employees to dream big, but also give them the freedom and the tools to do so.

Near is looking for a DevOps Engineer to perform day-to-day activities and to support the company’s data centers, software and applications platforms that service the entire business. It is a demanding role that requires the candidate to be capable of working with cross-functional teams diagnosing complex issues on the various platforms.

The ideal candidate should have strong experience as DevOps/SRE and be able to support the business’s sites, software, and applications. The candidate should also have superior troubleshooting skills and knowledge of monitoring and alerting mechanisms.

A Day in the Life

Manage large scale production environment and mission critical infrastructure. Handle stability, automation, scalability, deployment, monitoring, alerting, security and ensure maximum availability of Near’s tech infrastructure. Manage distributed big data systems comprising of Kafka, Hadoop, Spark, Hive, Flink, Mongo DB, Elastic Search and other cloud services like S3, EMR. Work closely with Software and Big data Developers and other collaborating teams to ensure the infrastructure is capable of serving current and future needs. Set up monitoring systems, create and maintain run-books. Participate in 24×7 on-call support roles on a rotational basis as needed in future. Influence, create and contribute to the automation platform. Take complete ownership of assigned modules and execute them.

What You Bring to the Role

Bachelor’s/Master’s degree. Overall, 4 – 6 years of experience in Development Operations (AWS, GCP, Azure or On-Prem). Strong understanding of Security, Transport and Application layer. Prior experience in setting up instances in the Data Center and Cloud environment, preferably AWS. Excellent knowledge of the Unix operating systems(CentOS preferred), and very good system troubleshooting skills. Experience working with Web, Internet & Load Balancing and Big data technologies. Good at the administration of Big Data ecosystems – Apache Spark, Kafka, Airflow and NoSQL databases like MongoDB. Good at monitoring tools such as Nagios, Graphite, cacti and Ganglia. Experience working with database technologies – Redis, MySQL, MongoDB. Must have experience in configuration management tools – Puppet, CHEF, fabric, and Ansible. Must have experience in any one of the programming languages – Python/Ruby/Perl – Python/Ruby is preferred. Experience with Software Engineering Lifecycle, and handling deployments on a large scale. Hands-on experience with Continuous Integration/Continuous Delivery tools like Jenkins/Nexus/Maven/Ant. Must have exceptional problem solving, analytical and organisation skills with a detail-oriented attitude. Curiosity to learn new/emerging tech/framework.

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