Sr. DevOps Engineer

Fusemachines Nepal

Fusemachines ( builds AI Schools in underserved communities (AI Education Solution) and connects the graduates to AI job opportunities (AI Talent Solution). Fusemachines AI Schools run AI Microdegree® and Certificate programs in physical classrooms using it’s proprietary content and learning platform.

Job Information

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    Duty Station Kathmandu
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    Type of Appointment Full time
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    No. of Openings 1 opening
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    Salary Competitive /
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    Job Level : Mid-Level
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    Job Experience : 3 year
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    Job Category Software & Web Development
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    Job Qualification : Bachelor
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    Posted Date : May 20, 2021

Job Description

Job Description

  • Drive to a key conclusion for cloud and hybrid infrastructure for the various client and internal products based on monitoring, tracking, and traffic patterns, etc.
  • Execute and plan. secure and  repeatable application delivery pipelines.(CI/CD)
  • Take ownership of the production system and involve and help key stakeholders in decision making. Create budget analysis, cost reduction plans
  • Write modular, expandable, and pluggable code to deploy and automate infrastructure and corresponding services
  • Learn and analyze the current process in product identify flaws in current process, tools and suggest improvements
  • Research and implement security vulnerabilities, solutions to mitigate security vulnerabilities
  • Develop plans to deploy containers, service mesh, container orchestration tools like Kubernetes in the cloud
  • Plan, document, and implement production replica sets for SQL and NoSQL databases
  • Conduct post mortems, find root causes, and solutions to mitigate them
  • Research, plan, suggest, and implement distributed services like microservices, design patterns, and architectures

Required Qualification & Experience

Qualification & Other Specification

  • Good understanding of at least one programming language like Python
  • Good understanding of different package/dependency managers like Gradle, Maven, NPM
  • Robust portfolio and robust working of AWS along with the commonly used services like Queuing, Container Services, Load Balancing, and Data Warehousing Possible Tradeoffs, use cases, and cost analysis
  • Good understanding of configuring, monitoring, and scaling infrastructure and the components
  • Robust understanding of production application delivery pipelines, tools and technologies, and use cases. Tools include but not limited to Jenkins, Circle CI, AWS Code Build, etc,
  • Good grasp in operating, deploying, and maintaining a multi-region production system for In-house products and our customers
  • Hands-on experience  in container orchestrators like Kubernetes or any other similar tool
  • Practical knowledge of vendor-neutral automation and configuration management tools like Terraform, Ansible
  • Hands-on experience in setting up monitoring, logging, and tracing tools like Datadog, Sumo Logic, AWS Cloudwatch
  • Create dashboards and set alerts based on KPI and any critical production components
  • Should be able to come to concrete conclusion on drive decisions based on monitoring
  • Good understanding of common security best practices, AWS security best practices. Good understanding of implementing AWS security and governance tools like AWS Cloud Trail, AWS Guard Duty, AWS Shield and AWS Certificate Manager etc
  • Good understanding of different SQL and NoSQL databases like MySQL, PostgreSQL, MongoDB Familiarity with query and performance tuning and profiling. Good understanding of deployment replica sets and use cases
  • Familiarity with code quality and analysis tools like Sonarqube, Sonarlint, Sonar Scanner