Fusemachines Nepal
Information / Computer / Technology

Fusemachines (https://www.fusemachines.com/) is an enterprise AI services, education and solutions provider on a mission to democratize AI.

Headquartered in New York with operations across North and Latin America and Asia, Fusemachines brings together engineers and PhDs from around the world to help companies build innovative AI solutions. With a Nepal based head office in Kathmandu, Fusemachines offers advanced AI products such as Fuse Classroom, Fuse Extract. Fusemachines AI Schools run AI Microdegree and Certificate programs in physical classrooms as well as online live classes using its proprietary content and learning platform.

Fusemachines (https://www.fusemachines.com/) is an enterprise AI services, education and solutions provider on a mission to democratize AI.

Senior DevOps Engineer

Views: 1696 | This job is expired 4 years, 3 months ago

Basic Job Information

Job Category	:	IT & Telecommunication
Job Level	:	Senior Level
No. of Vacancy/s	:	[ 1 ]
Employment Type	:	Full Time
Job Location	:	Kamaladi, Kathmandu
Offered Salary	:	Negotiable
Apply Before(Deadline)	:	Jan. 16, 2021 23:55 (4 years, 3 months ago)

Job Specification

Education Level	:	Under Graduate (Bachelor)
Experience Required	:	More than or equal to 3 years
Professional Skill Required	:	Python MySQL PostgreSQL

Other Specification

Good understanding of at least one programming language like Python
Good understanding of different package/dependency managers like Gradle, Maven, NPM
Good knowledge of AWS and its core services S3, SES, Queuing services, Container Services, Load Balancing, Data Warehousing, and data pipeline services
Good understanding of configuring, monitoring, maintaining, and debugging different types of load balancers. Should be able to select the type of load balancer based on the requirement and the technologies used
Knowledgeable of scaling infrastructure and the components. Minimize downtime in scaling infrastructure
A good grasp on the key scaling components like SQS, Kinesis, etc
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, AWS Code Deploy, AWS CodePipeline. Should be able to configure and maintain multi-branch pipelines in Jenkins
Good grasp in operating, deploying and maintaining a multi-region production system for In-house products and our customers. Good understanding of on-premise infrastructure and provide alternative solutions to cloud services
Good grasp of vendor-neutral automation and configuration management tools like Terraform, Ansible
Familiarity with writing automated production automation code for multiple services
Hands-on experience in setting up monitoring, logging, and tracing tools like Datadog, Sumo Logic, AWS Cloudwatch, and Container Insights. Create dashboards and alerts based on KPI and any critical production components
Robust 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, AWS Certificate Manager
Good grasp in using common cloud-native technologies like Kubernetes
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
Good understanding of when and how to conduct any incident response cycle, conduct blameless post mortems
Familiarity with generating post mortem repost and communicating them with cross-functional teams

Job Description

Drive to a key conclusion for scaling in or scaling out for the various client and internal products based on monitoring, tracking, and traffic patterns, etc
Execute and plan secure, smooth, fast, and repeatable application integration best practices and delivery pipelines
Take ownership of the production system and involve and help key stakeholders in decision making Create a balance in budget analysis, cost reduction
Write modular, expandable, and pluggable code to deploy and automate infrastructure and services
Learn and analyze the current process in product, DevOps, teams, and suggest improvements. Create well defined and structured documents
Research and implement security vulnerabilities, solutions to mitigate security vulnerabilities
Develop plans to deploy containers, service mesh, container orchestration tools in the cloud
Plan, document, and implement production replica sets
Conduct blameless postmortems, find problems, root causes, and solutions to mitigate them
Independently shortlist, analyze, and select prospective team members based on their skill and expertise
Research, plan, suggest, and implement distributed services like microservices, design patterns, and architectures