Senior Site Reliability Engineer (Remote - LatAm) at Loadsmart

Posted on: 06/30/2021

Location: (REMOTE)

Crunchbase | Original Source

Tags: javascript chef spark etl sql unix bash hadoop ansible kubernetes containers python aws docker terraform

Loadsmart is seeking to hire a Latin America-based Senior Site Reliability Engineer. This person will have a passion for disrupting the industry and building solutions that create sustainable, long-lasting value. You will be supporting a rapidly growing tech company with award-winning solutions focused on being the best one stop shop for carriers across the United States. As a Senior Site Reliability Engineer, you will implement experimental ideas to deploy software development projects and new processes. This role requires creative problem solving, and troubleshooting root-cause analysis of system operation issues. **The Right Fit** If you are passionate about solving problems at scale, you will be successful here. You are fearless in pursuit of reinventing the future of freight through solving inefficiencies in the industry. **Responsibilities** * Build data warehouse to house data from various sources, including relational databases, streaming services and Web APIs * Build and support complex ETL infrastructure to deliver clean and reliable data * Optimize data architecture by trading off storage and computation to achieve low cost and high performance * Move seamlessly from high-altitude thinking to the tangible and practical supporting our lean software development team * Collect metrics and understand how each metric correlates to the business and inspire the team to do the same * Be available for application support during off-hours, as part of on-call rotation * Seek, give, and receive constructive feedback to teammates through code and specification reviews **Qualifications** * 5+ years of experience in Cloud Computing, SRE/DevOps, data modeling, ETL development, data warehousing, data pipeline and data lake creation * Experience working with and administering one or more columnar storage systems: Redshift, Snowflake, Bigquery, etc * Hands-on experience and advanced knowledge of SQL * Experience in working with AWS, Cloud environments, Containers, Kubernetes * Docker - DevOps Engineering environment with owning tests, CI/CD pipelines * Experience with automation and provisioners like Terraform, Ansible or Chef * Troubleshooting and system engineering exposure in UNIX/Linux production environments * Experience automating tasks with scripting languages such as Python, Bash, and JavaScript * Expertise in managing Linux servers (either RedHat or Debian-based distros) * Experience with Big Data and streaming technologies is a plus (Hadoop, M/R, Hive, Spark, etc) **What you will find here** * Generous stock options * Opportunity to work with modern, cutting-edge technologies * Mind and body initiatives (Work out platform, Yoga classes, activity challenges)