Responsible for establishing end-to-end monitoring and alerting on all critical aspects to ensure SLAs and get proactive notifications of possible issues for all systems
Have a customer centric focus while working with internal and external stake holders
Responsible for blameless postmortems and proactive identification of potential outages factor into iterative improvement
Automate build, packaging, testing and deployment processes using tools and/or scripts
Should implement best practices and standards into the CI/CD pipeline automations
Review deployment procedures and execute deployments that ensure environment reproducibility
Emphasizing automation, implement processes, procedures and best practice guidelines for code management
Responsible to ensure success of frequent Releases to the SDLC environments
Strong communication and team building skills
Ability to work in a team environment or independently with little guidance based on assignment
Guide and mentor junior engineers/developers in automating infrastructure and application build/deployments.
Qualifications
Installing/maintaining/Administering software on Linux, Windows servers
Experience in Designing and Deploying multi-data center Large Scale Web Applications
Work closely with dev, and ops teams to build highly available, cost effective systems
Create new tools and scripts designed for auto-remediation of incidents
Design/Implementation containers/applications in scalable HA/DR multi-tier cloud environments, including new system design, documentation, implementation, and deployment
Experience in providing L3 technical support for production 24x7X365
Experience in Monitoring infrastructure/applications, maximizing system uptime and availability, ensuring functional and performance SLAs
Hands on experience Configuring and Administering SCM(GIT, SVN), Build (CMake, Make files, Maven), Nexus, CI(Jenkins), CD Automation Tools
Deploying and automating applications into public (AWS, GCP, Azure) and private cloud environments
Scripting experience using tools such as Python, Ruby, Bash, Korn Shell
Experience with multiple database technologies Oracle, PostgreSQL, MongoDB, Cassandra, etc
Knowledge of cloud infrastructure as a service ( IaaS ) / platform as a service ( PaaS ), microservices