Posted Nov 16, 2017 1 views
This is a hands-on technical position. The ideal candidate has prior experience managing cloud based n-tier web applications and strives to solve traditional operations problems through automation and software.You must possess a high standard of excellence, solid written and verbal communication skills, have a strong customer focus, and be capable of technical deep-dives into operating systems, application performance, databases, load balancers, networks, and storage systems. You should be either a software developer with some experience and knowledge as a system administrator, or possibly a system administrator with some experience and knowledge as a programmer.
Key Responsibilities:
As a MessageOne AWS DevOps Engineer, you will:
Build solutions to problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
Perform a wide variety of technical and administrative duties in overall systems design, development, and delivery.
Work in conjunction with IT, engineering, and business groups to understand functionality, scalability, performance, security, and integration requirements.
Develop and maintain an in-depth understanding of the application, systems, database architecture, and the general application functionality used to maintain data integrity.
Manage the establishment and configuration of SaaS infrastructure in an agile way by storing infrastructure as code and employing automated configuration management tools with a goal to be able to re-provision environments at any point in time.
Develop and implement instrumentation for monitoring the health and availability of services including fault detection, alerting, triage, and recovery (automated and manual).
Be accountable for proper backup and disaster recovery procedures.
Develop, improve, and thoroughly document operational practices and procedures.
Drive operational cost reductions through service optimizations and demand based auto scaling.
Required Skills and Experience
Strong experience building and maintaining production systems on AWS using EC2, RDS, S3, ELB, Cloud Formation, etc. and familiarity interacting with the AWS APIs. You should be equally comfortable in a traditional datacenter setting.
Proficient in high level script languages (Python and/or Ruby) as well as script environments like bash
Deep experience administering Linux (Centos, RHEL, Ubuntu) systems.
Thorough understanding of configuration management concepts. Puppet experience is highly desired, both master based and headless. Bonus points for experience with Chef, Ansible, or Salt.
Experience with monitoring, metrics, and visualization tools for network, server, and application status (Zenoss, Sensu, Nagios, Graphite, Collectd, Ganglia, etc.)
Experience with hardware and software firewalls, IPS, WAF, and additional security layers (LDAP, SSO, 2Factor)
Experience with continuous integration, testing, and deployment.
Experience with RDBMS (PostgreSQL and MySQL). Bonus points for NoSQL (Cassandra, DynamoDB, Couchbase, Mongo)
A desire to automate yourself out of a job. We will always have new challenges and problems to solve.
Understanding of ITIL terminology like incident and problem.
Nice to have
Certified Amazon Partner with Valid ID
One or more AWS certifications
Skills
Job Details
Elementary Logics
Elementary Logics is a leading provider of Business Technology Solutions to a wide spectrum of industry verticals with solutions focus in Identity and Access Management, Business Intelligence, Business Process Management and Enterprise IT infrastructure. We partner with our clients by helping them formulate technology strategies that combine our domain expertise with their business vision. For this, we have domain competency groups in all focus areas lead by industry experts with many years of experience in deploying technology solutions for large enterprises. These domain experts are the driving force behind Elementary Logics's knowledge capital across all verticals and are leveraged on all client engagements. Our delivery methodology has the following value drivers - Customizable - Extendability - Global - Cost Effective
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