High paying software jobs in 2021

By | July 21, 2021

In this post I will be providing the information related to the high paying software jobs in 2021 and its associated job descriptions as below

Product manager

  • Defines the project strategy and vision
  • Own completely right from product inception to launch
  • Has expertise in product life management
  • Well versed in product tools such as JIRA

AI Engineer

  • Develops AI
  • Expertise in statistics and mathematics
  • Has got programming skills like Python
  • Well versed in AI technologies such as Machine learning, neural networks and deep learning.

Full stack development

  • Well versed in designs and coding
  • Expertise in technologies such as MongoDB, Express.js, AngularJS and node.js
  • Web/mobile development
  • Database technologies

Cloud specialists

  • Expertise in cloud application architecture
  • Hands on Amazon web services and Azure
  • Good communication skills
  • Develops cloud strategy, implement and deploying it

DevOps Engineer

  • Coding and scripting
  • DevOps concepts
  • Tools such as GIT and Jenkins
  • Linux or Unix administration
  • Shell scripts such as Python/Ruby

Block chain developer

  • Developing and implementing using block chain technology.
  • Solid programming skills
  • Well versed in security protocol stacks
  • Knowledgeable in crypto libraries and functions

Software architect

  • Understanding of the software architecture
  • Identify a customer’s requirements
  • Hands on work to develop prototypes
  • Data modelling
  • Good programming skills
  • Strong analytical skills

Big data Engineer

  • Handling capacity of large scale project development/deployment
  • Well versed in Hadoop, spark, NoSQL and data warehousing technologies
  • Programming skills
  • Data visualization skills

IOT solution architects

  • Strategy development and deployment of IoT solutions
  • Understanding in machine learning, hardware design and architecture.
  • Develop Iot solution framework, Architecture requirements.

Data scientist

  • Expert in analyzing and interpreting the complex data
  • Expert in machine learning algorithms
  • Can create data models
  • Can code in languages like Python, R, SAS and other tools

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