Site Reliability I with AI Experience

F5 Networks•Seattle, WA

About The Position

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive. Job Title: SRE Engineer I Our Employees a re valued and empowered, collaborative and team oriented, innovative in their approach and passionate about their work. They are reliable, trustworthy, and open with a high level of integrity. They value diversity, are inclusive and are committed to a global mindset Common Engineering Development Infrastructure (CEDI) has an opening for a Site Reliability Engineer III on our team. Our engineering team drives quality through resilient and high performing development services. Our team continuously drives improvement and a high level of service for our F5 team members. If you have a passion for development, automation for infrastructure, service reliability and monitoring we look forward to meeting with you. This specific role will be supporting, improving and scaling an internal AI application. The Site Reliability Engineer III is responsible for ensuring operations for infrastructure and application solutions are reliable and sustainable by incorporating automation towards installation and configuration of entire technology stack as well as the deployment of code throughout the development life cycle. The engineer is passionate about full stack visibility, a broad knowledge in application, databases, servers, virtualization, networking and requires extensive automation. The engineer will be responsible for all aspects of environment planning including capacity management, monitoring, scalability, auditing, disaster recovery, and interoperability. The role is responsible for assisting with design and implementation of new technologies to replace legacy systems and processes. Bring your passion and dedication to work with an amazing team to quickly turn ideas into great products.

Requirements

1 to 3 years of Overall experience as an SRE.
Must : Direct experience with AI applications support and deployment like Open AI.
Must : Awareness of Deployment / Integrations to various GPT models like GPT-4.x, O3, O4 models etc.
3 to 5 years of experience developing and implementing CI/CD automation, performance tuning, and scaling applications.
3 to 5 years of experience with open-source technologies and cloud services preferably Azure.
Experience with containerized architectures – development and deployment.
Must : Hands-on development experience with one or more general purpose programming / Scripting languages including but not limited to: Python, Shell, JavaScript, or Go.
Must : Infrastructure deployment experience using technologies such as Terraform, and Ansible.
Excellent working knowledge of system environments – operating systems, networking, applications, platforms, and databases.
Experience with branching strategies, test-driven development, release management, Agile methodologies, Unix, Linux,
Familiarity with common database technologies such as MS SQL Service, PostgreSQL,
Must : Experience with configuration management system (Puppet, Chef, Ansible, etc.)
Knowledge of development methodologies (Agile, Kanban, Scrum) across various technologies.
Experience with continuous integration methodologies and tools such as GitLab.
Self-motivated individual that possesses excellent time management and organizational skills
Strong sense of personal responsibility and accountability for delivering high quality work, both personally and at a team level.
Great communication skills as this will be facing internal/external users.
Excellent written and verbal communication skills
Must: Working knowledge of AI Applications, including RAG, LLMs, AI GPT Prompting
1-3 years of experience in SRE and troubleshooting of multiple systems including - cloud native applications, interface engines, and complex distributed systems.
1-3 years of experience developing automation for Cloud applications, preferably Azure
Comfortable mentoring team members with different skill sets and technical areas of focus and expertise.

Responsibilities

Develop high-quality services, lead design discussions, execute development against design for development teams to utilize in a self-service model
Will support and maintain an GPT internal AI Application
Coordinate with product and platform teams on regular maintenance, improve availability, scalability, and performance of the CI/CD environment.
Collaborate with product teams and work cross-functionally with F5 IT department and vendors to implement the services and automation required to support application use cases.
Actively engage with internal teams to develop tooling, framework to drive full observability and automation of the environment.
Ensure adherence to architecture standards and roadmaps.
Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core technology base.
Ensure that post-production operational processes / deliverables are well designed and implemented prior to the project moving into the solution support phase.
Define and create development procedures, processes, and scripts to drive a standard software development lifecycle.
Assist in the evaluation, selection, and implementation of new technologies with product teams to ensure adherence to architecture guidelines for new technology introduction.
Provide technical leadership on establishing standards and guidelines.
Facilitate collaboration between development and operations teams throughout the application lifecycle.
Partner with Corporate Information Security to ensure all security policies and audit inquiries are addressed.
Coordinate and align all other technology teams to ensure operational delivery processes are governed and monitored to expedite issue remediation