Global Technology Infrastructure is seeking a Cloud Site Reliability Engineer to join Enterprise Data Migration Team. This role is critical in proactively supporting Enterprise Architecture activities that guide both our Cloud and On-Premises Data Migration Strategies. The Cloud SRE is expected to develop and support target-state data migration solutions across the enterprise for both cloud and on-premises.

As a Site Reliability Engineer (SRE), you'll help build a meaningful engineering discipline, combining software and systems to develop creative engineering solutions to operations problems. Much of our support and software development focuses on optimizing existing systems, building infrastructure and reducing work through automation. You ll join a team of curious problem solvers with a diverse set of perspectives who are thinking big and taking risks. In this environment, you ll take the lead on relevant projects, supported by an organization that provides the support and mentorship you need to learn and grow. As an SRE, you ll be focused on running better production applications and systems.

Responsibilities:

• Lead the SRE team to drive data migration efforts
• Develop, test, and debug automated tasks (Apps, Systems, Infrastructure)
• Troubleshoot priority incidents, facilitate blameless post-mortems
• Work with development teams throughout the software life cycle ensuring sustainable software releases
• Perform analytics on previous incidents and usage patterns to better predict issues and take proactive actions
• Build and drive adoption for greater self-healing and resiliency patterns
• Lead and participate in performance tests; identify bottlenecks, opportunities for optimization, and capacity demands
• Participate in the 24x7 support coverage as needed
• Provides support to develop improve the quality of technical engineering documentation
• Provides support to drive the maturity of the software development lifecycle
• Provides technical supervision, oversight and problem resolution for engineering activities and quality control of engineering deliverable
• Provides technical consultation to product management
• Performs deployment, administration, management, configuration, testing, and integration tasks related to the cloud platforms
• Helps to develop new cloud engineering strategies and implementations for the fir
• Champions a DevOps model so that services are automated and elastic across all platforms
• Supports management of relationships with technology vendors
• Responsible for coaching and mentoring less experienced team members.
• Participates in 24x7 SRE on-call rotations and escalation workflows.

Qualifications:

• Bachelor s degree or equivalent experience in a software engineering discipline
• Leadership skill will ability to manage large teams and critical functions
• Mastery in at least two or more software languages (e.g. Python, Java, Go, etc.) with respect to designing, coding, testing, and software delivery
• Adept in the development of automated tools, systems, and services in multiple technology domains
• Advanced knowledge of one or more infrastructure components (e.g. networking, cloud services, orchestration tools, containerization, compute, and storage systems)
• Proficiency in service-level changes to a system and troubleshooting components
• Enterprise Cloud infrastructure experience e.g., AWS, Azure, GCP, Cloud Foundry in a mission critical environment
• In-Depth OS experience e.g., RHEL, Ubuntu, Windows Server with strong debugging, troubleshooting, and problem-solving skills
• Experience in site reliability engineering in one of the following languages e.g., C, C++, Java J2EE technology stack and web technologies (Python, Go, Perl, Ruby or shell scripting)
• Experience in developing and managing operations leveraging key event streaming, messaging and DB services e.g., Casandra, MQ/JMS/Kafka etc.
• Hands-on experience working with containers e.g., Docker, Kubernetes, Cloud Foundry, etc.
• Strong experience in using industry standard monitoring tools e.g., AppDynamics, Dynatrace, APICA, Splunk, ELK, FluentD, Prometheus, Kibana, Elasticsearch, Grafana, Nagios, Datadog, New Relic, etc.
• Strong working knowledge of modern development technologies and tools e.g., Agile, CI/CD, Git, Terraform and Jenkins.
• Deep knowledge of Internet protocols and web services technologies e.g., HTTP, DNS, TCP/UDP, SOAP, JSON and REST