Specialist Site Reliability Engineer

(#11072)

The role of the Specialist Site Reliability Engineer (SRE) is to execute RAM analysis and engineering in support of the I&T solutions. The overall mandate is to ensure that these solutions have attributes of high robustness, reliability, and availability. This involves system and product analysis, modeling and requirements assessment during the development phase and the analysis of field RAM data to determine solution RAM KPIs and to drive corrective action programs. With the advent of Cloud Computing there is also a need for a RAM specialist that is well versed in Cloud based technologies as well as solution architectures for the cloud.

Separate specializations may exist for hardware and software RAM. The technologies used are primarily distributed digital control systems, communication networks, Global Navigation Satellite Systems (GNSS), embedded and virtualized computing as well as Cloud based solutions.

Open position in Montreal, QC; Toronto, ON; Vancouver, BC; Calgary, AB; Edmonton, AB.

Main Responsibilities

Solution RAM Assessments

· Review and approve solution requirements for RAM

· Determine non-functional requirements and targets for RAM performance

· Perform analysis and modeling to predict RAM behaviour

· Adhere to the I&T Development Process

Solution RAM Field Performance

· Assign requirements to solutions and products to ensure they support the ability to measure RAM Key Performance Indicators (KPIs)

· Use the field performance measurement to identify key contributors and drive corrective action plans when necessary

Vendor Product RAM Assessments

· Review vendor specifications, test results, analysis artifacts

· Participate in failure review board for selected vendors

· Review corrective action plans from the vendors

· Drive to completion the vendor corrective action plans

· Use the field performance measurement to identify key contributors and drive corrective action plans when necessary

Requirements

Experience

· Minimum 5-10 years overall work experience

· Minimum 5 years experience in RAM engineering for complex systems, or 7 years experience in product development for high reliability/availability, or safety critical systems with accountability for product field performance

Skills/Knowledge

Knowledge of hardware and/or software design and development practices and processes with focus on high reliability and high availability applications

· Knowledge of RAM analysis techniques such as failure rate prediction, Reliability Block Diagrams (RBD), Markov models, Monte Carlo methods, Failure Modes Effects Analysis (FMEA), Fault Tree Analysis (FTA)

· Analysis of reliability and failure field data, statistical estimation, Root Cause Analysis (RCA)

· Critical thinking and judgement

· Ability to assimilate new information quickly and apply to the assignment

· Ability to deliver with autonomy

· Organizing work to support multiple projects in parallel

Knowledge and/or experience in the following areas:

· Multi-Cloud/Multi-Zone-Based designs with High Availability (HA)

· Containers: Docker

· Container orchestration: Google Kubernetes Engine (GKE),

· Compute Infrastructure: Google Compute Engine (GCE) (servers, databases, firewalls, load balancers, networking and storage)

· Services for Google Cloud Platform (GCP)

· Databases including NoSQL Databases, Big Data technologies (Oracle, SQL Server, Postgres, Spark, Hadoop, Cloud databases)

· Application development concepts and technologies (CI/CD, Java, Python)

Education/Certification/Designation

· Bachelors degree in Electrical Engineering, Mechanical Engineering, Computer Science, Computer Engineering or equivalent degree & experience

Assets

· Knowledge of product design and standards for the rail industry

· Knowledge of rail industry or other transportation industry operations

Working Conditions

This role may require occasional business travel within North America in accordance with company policy