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 necessaryReview vendor specifications, test results, analysis artifactsParticipate in failure review board for selected vendorsReview corrective action plans from the vendorsDrive to completion the vendor corrective action plansUse the field performance measurement to identify key contributors and drive corrective action plans when necessaryRequirements
Experience
Minimum 5-10 years overall work experienceMinimum 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 performanceSkills / 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 judgementAbility to assimilate new information quickly and apply to the assignmentAbility to deliver with autonomyOrganizing work to support multiple projects in parallelKnowledge 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 & experienceAssets
Knowledge of product design and standards for the rail industryKnowledge of rail industry or other transportation industry operationsWorking Conditions
This role may require occasional business travel within North America in accordance with company policy
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