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Python Software Engineer

2 weeks ago

Dubai, Dubai, United Arab Emirates Canonical Full time
Roles and responsibilities
  • Create automated testingapproaches and infrastructure for validating reliability,performance, and resilience of cloud orchestration tools andapplications
  • Enable engineering teams acrossCanonical to develop software with confidence by making distributedsystem testing tooling available across thecompany
  • Enhance continuous integrationpipelines for deploying and testing Canonical's cloudnative products such as Kubeflow
  • Deploy,manage, and debug highly distributedsystems
  • Monitor and report on automated testingefforts
  • Collaborate daily with a globallydistributed team

What we are lookingfor in you

  • Solid background in modern testprocesses and strategies
  • Experience with Pythonor Go development
  • Strong object orienteddevelopment skills
  • Ability to develop and shipproduction grade modern webapplications
  • Working knowledge of continuousintegration tools such as Jenkins, CircleCI, GitHubCI
  • Knowledge of networking technologies andfundamentals
  • Solid understanding of Linuxsystem architecture
  • A capacity for complexabstract thinking
  • Capability for 2-4 weeks ofinternational travel travel per year

Additional skills thatyou might also bring

  • Collecting and analyzing largemultidimensional datasets
  • Operating dataplatforms: key-value stores, relational or document databases,event buses
  • Work with cloud technologies suchas OpenStack, Kubernetes, Terraform andAWS
  • Developing AI/MLpipelines

  • 1. StrongKnowledge of Distributed SystemsConcepts

  • Understandingkey distributed systems principles like the CAPtheorem , eventualconsistency , sharding ,replication , andpartitiontolerance .
  • Knowledge ofdistributed algorithms for consensus(e.g., Paxos, Raft) and leaderelection.

  • 2. ProficiencywithPython

  • Proficiency inPython, with an emphasis on advanced topics likeasynchronous programming ,multi-threading , andconcurrentprocessing .
  • Familiarity withPython libraries that are commonly used in distributed systems(e.g., asyncio ,Celery ,Pyro5 ,requests ,gRPC ).

  • 3.Experience with Distributed ComputingTools

  • Experience withmessage brokers like RabbitMQ orKafka, and task queues likeCelery.
  • Familiarity with distributed storagesolutions like Redis ,Cassandra , orMongoDB .
  • Knowledgeof cloud platforms like AWS ,GCP , orAzure , and how they supportdistributed computing.
Desired candidate profile

1. Designing and Implementing DistributedSystems

  • ArchitectureDesign : Designing robust, scalable, and efficientdistributed system architectures, including handling challengeslike load balancing, failover, and dataconsistency.
  • ServiceCommunication : Implementing efficient communicationprotocols (e.g., HTTP, gRPC, Kafka, RabbitMQ) to enable serviceswithin a distributed system to interact with eachother.
  • Fault Tolerance andReliability : Ensuring the system can gracefullyhandle failures and recover from them without data loss orsignificant downtime. This includes implementing mechanisms likeretries, circuit breakers, and healthchecks.

2. PerformanceOptimization

  • Latencyand Throughput : Ensuring that the distributed systemperforms well under high load and optimizes latency. Identifyingand resolving bottlenecks in communication orcomputation.
  • Scalability :Designing systems to scale horizontally (i.e., adding moremachines) or vertically (i.e., enhancing machine power) as neededto handle increasingworkloads.
  • ConcurrencyHandling : Using Python's libraries, suchas asyncio, threading, or multiprocessing, to efficiently managemultiple concurrent operations in a distributedenvironment.

3.Implementing ConsistencyModels

  • CAPTheorem Consideration : Understanding the trade-offsbetween consistency, availability, and partition tolerance, andchoosing the right model (e.g., eventual consistency, strongconsistency) for differentcomponents.
  • Distributed Databasesand Caching : Working with distributed databases(e.g., Cassandra, MongoDB, etc.) or distributed caching systems(e.g., Redis, Memcached) to ensure efficient and consistent datastorage across nodes.

4.Handling Data Distribution andSynchronization

  • DataReplication : Implementing data replicationstrategies to ensure that data is consistently and reliablyavailable across allnodes.
  • EventualConsistency : Handling scenarios where systems musteventually reach consistency, even if not immediately. This couldinvolve implementing and managing tools like event sourcing ormessage queues (e.g.,Kafka).
  • StateManagement : Managing distributed states usingcoordination tools (e.g., Zookeeper, Consul) for leader election,configuration management, or distributedlocks.

5. Monitoring,Logging, andTroubleshooting

  • DistributedTracing : Implementing tracing (e.g., usingOpenTelemetry) to monitor and troubleshoot the flow of requestsacross multiple services in a distributedenvironment.
  • Logging :Centralizing logs across different distributed nodes using toolslike ELK Stack (Elasticsearch, Logstash, and Kibana), Fluentd, orsimilar solutions.
  • Metrics andAlerts : Setting up system monitoring with metrics(e.g., Prometheus, Grafana) and alerting to track the health andperformance of the system.
Key Skills
EngineeringMathematics,Software Engineering Coordination,Softwaresupport
Employment Type : Full-time
Department / Functional Area: Engineering
Experience: years
Gender: Male
Vacancy: 1