Senior Site Reliability Engineer

Site Reliability Engineer Senior (Sr SRE) Responsibilities:

• Provide technical leadership to a growing team focused on applying software engineering practices to operations at scale.
• Monitor and report on service level objectives for a given applications services. Work with business and product owners to establish key performance indicators.
• Participate in conducting technical training events, game day scenarios, and focused engineering spikes.
• Design and architect operational solutions for managing applications, with the specific goal of increasing the automation, repeatability, and consistency of operational tasks.
• Create and maintain monitoring technologies and processes that improve the visibility to our applications' performance and business metrics and keep operational workload reasonable.
• Sponsor healthy software development practices.
• Persistent testing of application and infrastructure resiliency over a variety of error conditions.
• Partnering with security engineers and developing plans and automation too aggressively and safely respond to new risks and vulnerabilities.
• Collaborate with internal teams to ensure that operational development solutions meet business requirements.
• Provide architectural and practical guidance to software development to improve resiliency, efficiency, performance, and costs.
• Develop, communicate, and monitor standard processes to promote the long-term health of sustainability and health of operational development tasks.
• Collaborate with and include yourself into the “feature/Service” oriented development teams.

Qualifications:

• Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, MIS, or other related discipline required.
• Prior relevant software development / architecture experience.
• Good hands-on experience in a DevOps or System Administration role.
• Prior experience building and supporting cloud-based solutions
• Experience in a production environment supporting mission-critical applications
• Experience in one or more of the following: C, C++, Java, Python, Go, Perl or Ruby.
• Experience with algorithms, data structures, complexity analysis and software design.
• Experience working with configuration management and deployment automation tools like Chef, Terraform, Puppet or Ansible.
• Experience within operations, administering both Window (2003/2008/2012) and Linux machines.
• Knowledge of the Software Development Life Cycle with experience working in QA and beta environments.
• Proficiency in cloud computing concepts as well as on premise.
• Experience working with Azure cloud infrastructure and services is strongly preferred.
• Experience with virtualization and container solutions is strongly preferred. (ie. , Docker, Kubernetes, ECS)
• A strong understanding of diverse infrastructure platforms and infrastructure concepts
• A strong understanding of the Agile software development methodology
• Knowledge of standard production practices including change management
• Ability to debug and optimize code and automate routine tasks.
• Systematic problem-solving approach coupled with strong communication skills and a sense of ownership and drive.

Nice to Have:

• Versatility as demonstrated with troubleshooting diverse sets of hosting technologies (web server platforms, Java application platforms, operating systems, network components, virtualization technologies, database platforms)
• Healthy knowledge of Linux (have compiled your own kernel at some point, know how to trace syscalls, understand TCP, care about the difference between sysvinit/runit/systemd, etc.)
• Knowledge of Open Source software’s and contributions to the open source community.

Generative AI Code Assistants - Use of Generative AI Code Assistants (e.g. Github Copilot) and knowledge of latest Generative AI Model capabilities would be an asset.