• Senior Cloud Operations Engineer - Platform

    Job Locations US-MA-North Reading
    Posted Date 1 week ago(6/12/2018 1:33 PM)
    Job ID
    Engineering - Cloud Ops
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    TraceLink is working on taking our container based microservice platform to the next level.  And are in need of someone to help lead the way, to a full Platform as a Service offering.   We are looking for a Cloud Operations Developer with experience working in a large scale Platform as a Service environment.  Who excels at innovative and collaborative projects.  And who can bring new technologies from theory to production quickly and reliably.


    Key Responsibilities:

    • Live the DevOps mentality and collaborate at all levels of the product.
    • Write code to define, deploy and test infrastructure.
    • Take ownership of key projects to build, manage and maintain a container based platform.
    • Leverage the latest technologies and methodologies to enable massive growth.
    • Communicate with all parts of the TraceLink organization, in both verbal and written capacity.


    Job Requirements:

    • 2+ years experience working with large scale Docker container management.
    • 5+ years experience with Linux based development, with a focus on operations and deployment.
    • Deep understanding of container and cloud based networking.
    • Experience with Python and agile development methodologies.
    • Strong knowledge RHEL/CentOS systems management and troubleshooting, in a large distributed environment.
    • Experience with Configuration Management and Orchestration tools such as Puppet, Chef and Kubernetes.
    • Excellent problem solving skills and the ability to work both closely with a team and on independent projects.
    • Bachelor's in Computer Science or equivalent.


    Preferred Skills and Experience:

    • Experience working with AWS Elastic Container Service, Kubernetes, or Docker Swarm.
    • Experience with logging, monitoring and reporting tools such as ElasticSearch, Kibana, Nagios, Graphana, InfluxDB
    • Experience with serverless compute such as AWS Lambda.
    • Expereince with a wide range of Amazon AWS services. Including basic services such as EC2, S3, RDS, and Route53.  As well as more advanced offerings such as Redshift, ElastiCache and Kenisis.


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