Specialist Site Reliability EngineerGlobal Talent Alliance, Canada • Montreal (administrative region), QC, CA

Specialist Site Reliability Engineer

Global Talent Alliance, Canada • Montreal (administrative region), QC, CA

6 days ago

Job type

Full-time

Job description

About the job 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.

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

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)

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

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