Specialist I - DevOps Engineering UST Bellevue, WA Full Time

Kate

Administrator
Команда форума
Role Proficiency:

Understands customer requirements streamline DevOps practices and translate them into reference architecture for DevOps (CI/CD) and automation components by managing multiple scrum teams.



Outcomes:

  1. Interprets the DevOps Tool/feature/component design to develop/support the same in accordance with specifications
  2. Adapts existing DevOps solutions and creates own DevOps solutions for new contexts
  3. Codes debugs tests documents and communicates DevOps development stages/status of DevOps support issues
  4. Selects appropriate technical options for development such as reusing improving or reconfiguration of existing components
  5. Optimises efficiency cost and quality of DevOps process tools and technology development
  6. Validates results with user representatives; integrates and commissions the overall solution
  7. Assesses current state of DevOps maturity and advises clients on improving maturity and DevOps roadmap
  8. Assess readiness of clients to adopt DevOps practices advising clients on appropriate change approaches and technology choices
  9. Looks for patterns of struggle and experiments with new designs and new ways of applying existing designs to solve problems
  10. Guides DevOps leads and engineers and observe how the processes are working in practice
  11. Works towards reducing variations in practice by challenging status quo and tweaking processes and tools
  12. Resolve architecture issues and deliver / own architecture of application solutions spanning across multiple technologies for projects of the following nature - high revenue projects / complex projects / large strategic maintenance projects
  13. Manage multiple stakeholders and handle their expectations
  14. Contribute to business development and organizational activities
  15. Support Architect/Sr. Architect in drafting recommendations based on findings of Proof of Concept


Measures of Outcomes:

  1. Quality of Deliverables
  2. Defect injection at various stages of lifecycle
  3. SLA/KPI for onboarding projects or applications
  4. Percentage achievement of specification/completeness/on-time delivery
  5. # of reusable components / processes developed
  6. Delivery efficiency (Adherence to UST defined principles)
  7. Contribution to technology capability development (e.g. Training Webinars Blogs)
  8. Customer feedback on overall technical quality (zero technology related escalations)
  9. # of white papers/document assets contributed to
  10. Feedback from Project Team/Program Management on project support
  11. Error rate/completion rate at various stages of SDLC/PDLC
  12. Uptime/System reliability metrics (if the design is not meeting with agreed SLA’s)
  13. # of domain certification/ product certification obtained
  14. Adoption rates of CI/CD tools DevOps practices (efficiency improvement rate)


Outputs Expected:

Automated components :

  1. Deliver components that automat parts to install components/configure of software/tools in on premises and on cloud
  2. Deliver components that automate parts of the build/deploy for applications


Configured components:

  1. Configure tools and automation framework into the overall DevOps design


Scripts:

  1. Supervise/Develop automation scripts (like Powershell/Shell/Python scripts) that automate installation/configuration/build/deployment tasks


Training/SOPs :

  1. Create Training plans/SOPs to help DevOps Engineers with DevOps activities and to onboard users
  2. Create Training plans/SOPs to help technical deal with already existing CI/CD Pipelines and components; onboarding users


Measure Process Efficiency/Effectiveness:

  1. Deployment frequency innovation and technology changes


Operations:

  1. Change lead time/volume
  2. Failed deployments
  3. Defect volume and escape rate
  4. Meantime to detection and recovery


Solution Definition & Design:

  1. Define Architecture for the small/mid-sized type of project
  2. Design the technical framework and implement the same
  3. Identify and conduct design of complex sub-components /module in collaboration with project team architects and client SME
  4. Present the detailed design documents to relevant stakeholders and seek feedback
  5. Undertake project specific Proof of Concepts activities to validate technical feasibility with guidance from the Application Architect
  6. Implement best optimized solution and resolve performance issues
  7. Support the team in the design of functional modules and review the deliverables
  8. Conduct code reviews


Project Estimation:

  1. Provide support for project estimations on business proposals and support sprint level / component level estimates
  2. Articulate estimation methodology module level estimations for more standard projects with focus on estimation effort alone


Measure Process Efficiently/Effectiveness:

  1. Measure and pay attention to efficiency/effectiveness of current process and make changes to make them more efficient/effective
  2. Facilitate development processes and operations
  3. Architecting overall comprehensive DevOps practice effectiveness


Skill Examples:

  1. Design branching and merging strategies
  2. Defining DevOps tool stack
  3. Designing build/release plans
  4. Defining monitoring strategy/service provisions/middleware configuration
  5. Integrate with code quality analysis tools like SONAR
  6. Scripting skills (Javascript Python Linux PowerShell)
  7. Infrastructure automation skill (ansible/terraform)
  8. Quality automation skills(selenium)
  9. Experience of build deploy pipeline for polygot tools Database automation Java Python Perl
  10. Creating build plan in Bamboo/Jenkins/GITLAB and necessary scripting to implement build Setting and managing Jira projects and Git/Bitbucket repositories
  11. Skilled in Automated Build and Deployment and tools like Maven Ant.etc
  12. Skilled in Automated Monitoring(Splunk)
  13. Skilled in containerization tools like Docker
  14. Monitoring reviewing and managing technical operations


Knowledge Examples:



Additional Comments:

Primary :-\tInfrastructure Analysis & Monitoring (5-7 yrs exp) :- Java, SpringBoot Microservices(10-12 yrs) :- AWS Cloud(3.5 yrs)Secondary (5-7 yrs exp):-\tKubernetes(1-3yrs), Gitlab, PythonGood to Have :-\tAutomation & SRE experienceMatching competency: Cloud Infrastructure Native Experience


Recommended Skills​

Branching And Merging

Jenkins

Gitlab

Bitbucket

Docker

Git
 
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