Bangalore, Karnataka, India
Information Technology
Full-Time
Softility, Inc.
Overview
The DevOps Engineer Lead is responsible for designing, provisioning, monitoring, and maintaining platform services.
The successful candidate requires experience in systems engineering and cloud automation (AWS and/or GCP), being a critical thinker, and a scripter with strong coding skills that will be used to automate repeatable tasks.
Additionally, the candidate must be highly organized with strong communication skills and a mindset for continuous improvement.
Responsibilities
The successful candidate requires experience in systems engineering and cloud automation (AWS and/or GCP), being a critical thinker, and a scripter with strong coding skills that will be used to automate repeatable tasks.
Additionally, the candidate must be highly organized with strong communication skills and a mindset for continuous improvement.
Responsibilities
- Responsible for the design, creation, configuration, and delivery of cloud infrastructure environments using automation best practices and a proactive strategy.
- Responsible for automating the infrastructure built in cloud environments.
- Responsible for providing technology assessments in support of automation and migration to the cloud.
- Responsible for the automation of operational processes.
- Responsible for developing and driving improvements, maintaining/monitoring production and non-production systems, and ensuring platforms perform at maximum efficiency and security.
- Automate the full SDLC lifecycle process for application and infrastructure as code workloads.
- Automate business continuity/disaster recovery.
- Participate in rotational 24x7 on-call.
- Perform root cause analysis for service performance incidents.
- 5+ years of SRE/DevOps production operation in large-scale, Internet-facing infrastructure.
- AWS/GCP Certification or Solution Architecture Certification is a plus.
- Direct experience building cloud-based infrastructure solutions in AWS or GCP with a strong governance model knowledge.
- Strong knowledge of Linux operating systems (RHEL/CentOS/Debian) and its fundamentals.
- Expertise in continuous integration, continuous deployment, application performance monitoring, and alerting systems.
- Experience in multiple scripting languages Python, Bash, Perl, Javascript.
- Experience in supporting containerized workloads docker, EKS, GKE, Kubernetes.
- Strong cloud automation experience with tools such as Terraform, Docker, Ansible, Chef, etc.
- Expertise with cloud monitoring and management systems.
- Expertise in DevOps tools Jenkins, Git, Bitbucket, and Jira.
- Expertise in management tools Prometheus, ELK, CloudWatch, and StackDriver.
- Experience in working in/with Agile processes (Scaled Agile Framework/SAFe preferred) and tools (preferably Jira).
- Experience in working in/with ITSM processes (incident management, problem management, change management, configuration management) and tools (preferably Jira JSM).
- Strong problem-solving and analytical skills.
- Strong understanding and experience operating in an agile development environment.
- Ability to multitask, work well under pressure, and prioritize work against competing deadlines and changing business priorities.
- Bachelor's degree in a relevant field or equivalent
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