Sr. Devops Engineer - 54570

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Company: Annex Consulting Group

Location: Toronto, ON M4E 3Y1

Description:

Business Unit: 4 - Finance Technology

Duration: 1 year

Extension possible: Yes

Interview Process: In-person, 1 round

Work Location: Hybrid (two days in office Thur-team day, other day flex)

Office Space/Desk Location: 66 Wellington Street West Toronto Ontario CAN M5K 1A2

CANDIDATE PROFILE DETAILS:

Degree/Certifications Required: Undergraduate Degree or Technical Certificate

Years of experience: 5-10 years relevant experience

Reason for request/why opened: Onboarding a new application, need support.

% Interaction with Stakeholders: 0%, will work with enterprise

Project Scope: QRM New application (quantity mismanagement)

Team Size: 20+ people, but day to day 4-5 people

Personality Style/Team Culture: Hands off manager, not a micro manager, goal orientated, close knit.

Selling Points of Position: Flexibility, depends on the persons background, working on new technology.

Best Vs Average Candidate: Linux expertise vs not * Nice to have

How will performance be measured: Goal delivery, understand and able to set up and understand the infrastructure they have delivered

SUMMARY OF DAY TO DAY RESPONSIBILITIES:

We are looking for someone armed with a strong tool-kit to develop and maintain technical solutions that adhere to engineering and architectural design principles while meeting business requirements. You'll be a technology owner providing technical expertise with a focus on efficiency, reliability, scalability, and security which includes planning, evaluating, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards. The ideal candidate is willing, and able to research, maintain, configure, administer, and provision infrastructure, applications, and services across our platforms.
Understand architecture diagrams and provide input into application design
Perform systems administration: monitor, configure, back-up, authenticate, tune, maintain, install, script, monitor applications, services, and systems.
Script installs and stand-up infrastructure in both private/public Cloud
Identify issues, develop, and maintain processes that address and resolve them, (and be sure to communicate/alert stakeholders as needed).
Design, implement and maintain an automated build and install/deploy process; develop and maintain build scripts of projects and/or products.
Perform Release Engineering functions for either cloud or non-cloud services, products and platforms
Ensure effective change management (using ServiceNow).
Give specialized support (like research, installation, configuration, L3 support) and meets or exceeds established standards/service levels, while minimizing operational risk.
Design, review, integrate infrastructure and application requirements (non-functional, security, integration, performance, quality, operations etc.).
Build/deploy base infrastructure components (e.g. Azure capabilities including Virtual Machines, ASE, AKS, Blob storage, geo-replication, etc.) and application services for all environments. Help evolve the base infrastructure and operational environment, deploy new technologies in Azure and other cloud providers.
Maintain base infrastructure components, work with vendors (Azure) to report problems, and receive fixes.
Create and document disaster and business recovery plans and procedures.
Gain knowledge of services, applications, infrastructure, analytical tools and techniques, industry trends.

MUST HAVE:

1.) Windows administration and powershell experience

2.) Database experience, maintaining and managing MsSQL databases (SSRS/SSIS)

3.) Cloud experience e.g. Azure Services including IaaS, IaC

4.) Configuration management tools e.g. SALT, terraform, Ansible or CHEF

5.) Development/Engineering experience e.g. Powershell, Bash, Shell, Python

6.) Excellent problem-solving skills, engineering mindset (must be able to demonstrate this in interviews)

7.) Jenkins, Github, Bitbucket, Nexus or similar toolsets

NICE TO HAVE

1.) Linux

2.) High-Performance Computing clusters (e.g. HPC Pack)

3.) Splunk, DataDog, ITRS, Sensu, Foglight, ELK

4.) AutoSys, ServiceNow, JIRA, Confluence

5.) Databricks, Blob, Event Hub and more

e)

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