DevOps Engineer

About Us We are a decision science organization assisting clients to leverage their under-utilized data in making complex business decisions successfully. We comprise of Data Enthusiasts (engineers, scientists visualizers), Business Consultants, and Sales Managers with a core focus to address your business growth via data. The most unique aspect of Data would be containing unique problems/opportunities even for organizations in the same sector. Since Marktine’s inception, we have worked with several sectors across Industries. We are still growing and consistently striving to improve to deliver world-class Data Assessment & Management Services. We do not follow a complex process rather strive to make complex data terminologies as simple as possible for our clients. From the team’s perspective, we adhere to complete industry standards following proper work-life balance among employees and provide the knowledge space for improvement. We encourage team building and follow a culture of innovation, transparency, and integrity. We are always open for the right enthusiasts to join our team. Job Description This is a remote position. TECHNICAL SKILLS: ​ • Experience in Public cloud development (AWS) & Cloud Services: AWS (EC2, S3, CloudWatch, RDS, Elastic Cache, IAM) • Configuration Management tools: Ansible, Chef, Puppet, ANT, Maven etc • Deployment tools: Ansible, Openshift, Kubernetes and Containers (Docker) • Programming: Python and Shell scripting • OS Platforms: Windows and Linux (Ubuntu, like Centos, Amazon linux) • SCM/Version Control Tools: GIT, GIT Hub, AWS CodeCommit • CI Tools: GO CD, Jenkins/Hudson • Database Systems: Postgres, MY SQL, Mongo DB • Ticketing/Bug Tracking: Jira • Virtualization: VMware / VirtualBox • Monitoring tools: Nagios, Splunk • Container Technologies: Docker. • In-depth understanding of Network Protocols: TCP/IP, SSH, SMTP, SNMP, ICMP, FTP, TELNET, NIS, • Experience in network troubleshooting tools • Experience in DevOps tools (monitoring and tracing tools, security, logging) • Experience in writing deployment and full life cycle for complicated systems and defining architecture requirements for deployment and automations • Experience in automated deployment and infrastructure intermediate level • Devops development and support experience