Senior Site Reliability Engineer (Remote – LatAm)

  • Full Time
  • Americas

Website Loadsmart

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)

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