DevOps/Site Reliability Engineer

Must Have Technical Skills:

Open Shift or GKC (Google Kubernetes Engine)

Expertise in SRE principles and know how to apply them to infrastructure (bridge between infrastructure and dev)

SRE --> reactionary, dealing with optimizations and issues once the applications are running

Prometheus

Job Description

SUMMARY

The Site Reliability Engineer (SRE) is responsible for improving system reliability and

resilience. This role focuses on building automation to reduce manual effort and prevent

service-impacting incidents. The SRE combines software and systems engineering to

build and support large-scale, distributed, fault-tolerant systems. This role ensures that

critical platforms are available, reliable, and able to support a fast rate of improvement.

This role relies on monitoring platforms and is continually taking a holistic view of system

health and performance. The SRE will enhance and support cloud-based

transformations, and is focused on pushing capabilities forward, staying ahead of

customer needs and innovating for continuous improvement. The SRE provides

operational support and engineering for multiple large-scale distributed software

applications

JOB DUTIES

• Gathers and analyzes metrics from monitoring platforms to assist in performance tuning

and fault tolerance.

• Partners with development teams to improve services through testing and release

procedures.

• Participates in system design, platform management and capacity planning.

• Balances feature development speed and reliability with service-level objectives.

• Works closely with the incident response team and restoring service to normal operation.

• Understands debugging and applying troubleshooting skills.

• Investigates, blocks and rate-limits unwanted traffic.

• Utilizes monitoring systems and dashboards for proactive changes and alerting.

• Establishes continuous process improvement cycles where the process, performance,

and supporting technologies are reviewed and enhanced where applicable.

• Performs other duties as assigned.

EDUCATION & EXPERIENCE

Typically requires a bachelor's degree and five (5) to seven (7) years of experience in a

technology and/or software engineering role or an equivalent combination.

KNOWLEDGE, SKILLS, ABILITIES

• Understanding of Kubernetes, containers, clusters and elastic scalability.

• Expertise in SRE principles.

• Mindset of continually finding ways to drive scalability, stability, and performance.

• Cloud Services experience with Google Cloud Platform (GCP).

• Experience with API, service-based or microservice-based architecture.

• Proficiency in infrastructure, network, database, operating systems or security

troubleshooting and remediation.

• Architecture-level knowledge of Windows and Linux and Infrastructure systems.

• Experience with production deployment, monitoring and operational support for enterprise-class applications (Dynatrace a plus).

• Experience working with Continuous Integration/ Continuous Deployment tools.

• Experience in performance diagnostics, capacity planning, performance architecture

design, performance tuning and performance monitoring.

• A strong mix of software engineering and operational support skills.

• Knowledge of web technologies - HTTP, proxy, java, etc.

• Experience with Azure DevOps (ADO), Dynatrace, Prometheus, Terraform and Grafana.