JOB RESPONSIBILITIES:

• Work with stakeholders such as product owners and Engineering to define service level objectives (SLOs) for system operations.
• Track performance against SLOs in partnership with monitoring teams or other stakeholders, and ensure systems continue to meet SLOs over time.
• Create dashboards and reports to communicate key metrics.
• Create software to improve performance, scalability, and stability of systems.
• Collaborate with development teams to promote the concept of reliability engineering during all phases of the software development lifecycle to detect and correct performance issues and meet availability goals.
• Design, code, test, and deliver infrastructure software to automate manual operational work (i.e., “toil”).
• Participate in operational support and on-call rotation shifts for supported systems and products.
• Conduct blameless post mortems to troubleshoot priority incidents.
• Perform analytics on previous incidents to understand root causes and better predict and prevent future issues.
• Use automation to reduce the probability and/or impact of problem recurrence.
• Identify, evaluate, and recommend monitoring tools and diagnostic techniques to improve system observability.
• Participate in system design consulting, platform management, capacity planning and launch reviews.
• Collaborate and share lessons learned regarding performance and reliability issues with all stakeholders including developers, other SREs, operations teams, and project management teams.
• Participate in communities of practice to share knowledge and foster continuous improvement.
• Remain current on site reliability engineering methods and trends such as observability-driven development and chaos engineering.
• Drive continuous improvement in software quality and infrastructure reliability and resilience.
• Oversee, design, implement, and manage DevOps capabilities using continuous integration/continuous delivery toolsets and automation.
• SRE engineer will focus on Application Performance Monitoring (APM) including Design, Solution, POC, profiling and tuning application compute and data nodes and resources. Some key duties of this role are:
• Assist in defining SRE and Observability architecture, design
• Analyze, Implement new features of SRE and Observability Platform
• Full stack monitoring across all layers (Infrastructure/Network/Database/Application/Services/Third Party)
• Provide technical hands-on leadership in commercial and Open source/commercial monitoring Tool salection Implementation.
• Implement SRE driven automated Incident Detection -> automated Engagement –> Triage/Mitigate – RCA/Postmortems -> Problem task Remediation.
• AI Driven Correlation, De-duplication Noise Reduction and Auto Remediation
• Provide weekly monitoring and alert analysis and continuous improvement
• Create a model of the run-time environment (discovery)
• Profile the performance and behavior of user-defined transactions
• Establish Performance metrics from each of the applications/systems technical components (Webserver, App server, Database, etc.)
• Application performance management database
• APM tool Administration and Support
• Monitoring Tool design and implementation
• APM Setup/Usage policies and guidelines
• Capacity Planning and monitoring
• Monitor selected application performance
• Report vital statistics of application performance in production
• Make recommendations for improvements with Service Desk
• Make recommendations for adjustments to runtime resources to improve overall performance profile

KEY QUALIFICATION & EXPERIENCES:

• Strong problem solving and analytical skills.
• Strong interpersonal and written and verbal communication skills.
• Highly adaptable to changing circumstances. Interest in continuously learning new skills and technologies.
• Experience with programming and scripting languages (e.g. Java, C#, C++, Python, Bash, PowerShell).
• Experience with incident and response management.
• Experience with Agile and DevOps development methodologies.
• Experience with container technologies and supporting tools (e.g. Docker Swarm, Podman, Kubernetes, Mesos).
• Experience with working in cloud ecosystems (Microsoft Azure AWS, Google Cloud Platform,).
• Experience with monitoring and observability tools (e.g. Splunk, Cloudwatch, AppDynamics, NewRelic, ELK, Prometheus, OpenTeleme Official notification