Sr Site Reliability Engineer

The Senior Site Reliability Engineer will be responsible for ensuring the reliability, availability, and scalability of critical NGINX systems and SaaS platforms. Systems under the care of a Senior Site Reliability Engineer must operate effectively and reliably through scalable builds and deployments, frequent releases, and complex architectures that encompass modern technologies. You will work closely with technical and non-technical teams throughout the organization to facilitate the design and implementation of scalable solutions, drive automation initiatives, and monitor and maintain the performance of critical NGINX systems.

We are looking for someone who has:

• Experience solving problems related to large-scale distributed systems; is able to take complex problems and identify potential solutions, knowns, and unknowns.
• Works to drive continuous improvement and efficiency.
• Ability to write code in multiple languages, choosing the right strongly or dynamically typed language for the job.

Responsibilities:

• Leads a project team, providing direction, issue resolution, and mentorship, as well as regular progress updates and reporting.
• Solve problems in mission critical services; implement solutions to prevent recurrence; lead Retrospectives to explore and understand root causes, define next steps to avoid future incidents, and document and report findings.
• Help shape SRE strategies by evaluating and contributing to product/service design. Participate in system design meetings, capacity planning, launch reviews, etc. to ensure support services/platforms are as efficient as possible before going live.
• Scale systems sustainably through mechanisms such as automation and evolve systems by fostering changes that improve reliability and velocity.
• Enhance data-driven engineering culture by providing statistical trends and analysis using real service data to increase service health and quality.

Knowledge, Skills, and Experience

• Bachelor's (or higher level) degree in one or more of these disciplines: Computer Science, Computer Engineering, or related fields.
• 7+ years of professional experience in software engineering
• Experience setting up and using incident and on-call management systems.
• Experience setting up and building tools to collect and visualize data (logs, metrics, alerts), building dashboards, alerting, and monitoring systems.
• Experience with deploying secure infrastructure and services in one or more cloud environments such as AWS or Azure.
• Experience with configuration management and deployment automation tools, such as Terraform, Ansible, Packer, etc.
• Proficiency in scripting languages such as Python and Bash.
• Experience with container (Docker) and orchestration systems (Kubernetes).
• Solid understanding of Linux OS + systems administration skills
• Excellent analytical and trouble-shooting skills.
• Dynamic collaborator who thrives in diverse, geographically distributed locales.
• Team player that demonstrates diplomacy, promotion of sound ideas & concepts, paired with the desire to help others grow their skills.
• Strong verbal and written communication skills.
• Experience with NGINX technologies a strong plus.

Fundamental competencies:

SYSTEM EXPERIENCE

• Application Build and Deployment Processes (git*, automation pipelines, Infrastructure as code, etc.)
• Automated Application Delivery (load balancers, container orchestration, service mesh, High Availability architectures, Frontend, Backend technologies including database, etc.)
• Service Operation (Define, instrument, measure, and manage service level objectives. Experience with observability tooling including logging infrastructure, time series metrics databases, tracing systems, alert definitions, etc.)
• Incident management (service restoration, root cause analysis, postmortem authorship, define roles and responsibilities, etc.)
• Security awareness and competencies, including security as code.
• Configuration management

OBSERVABILITY

• Explores beyond the obvious to ensure Service Level Objectives (SLO) are met.
• Understands and measures system behaviors to quickly and efficiently diagnose, identify, and address needs.
• Proactively test, automate, monitor outputs, leverage signals to infer services and needs.
• Data management to explore properties, patterns, and distributed tracing

SOLUTIONIST

• Constantly seeking ways to improve systems, making them more efficient and reducing toil.
• Understands the difference between short-term strategic and long-term fixes
• Simplifies decisions and judgments by recognizing what to pay attention to and what to ignore; a proficient problem solver. Tenacious and resourceful with an inherent predisposition toward action; unafraid to try something new in the name of innovation.

FORWARD THINKING

• Possess an inherent bias toward innovation, always abreast of developing ideas and technologies. Thoughtfully and strategically considers future needs, opportunities, and advocates positive change.
• Technological creativity and capacity

COMMUNICATION AND COLLABORATION

• Conveys information, vision, and strategy in an accurate and timely manner, adjusting to ensure understanding based on the audience. Actively listens; seeks to understand rather than respond. Proactively solicits and values diverse perspectives, ideas, and opinions