Datadog / Kubernetes Software Engineer III

Expert knowledge of the business, the broader organization, technical environment, processes, procedures, tools and other relevant technology areas (e.g. Architecture, Infrastructure, Security etc.) from a design / support / solutions perspective
Undergraduate degree, Post Graduate degree or Technical Certificate
Strong academic background (e.g., computer science, engineering)
5-7 years relevant experience

Executes on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configures activities across Application, Platform and Infrastructure
Leads the creation of solution options and ultimately a comprehensive end-to-end solution and coordinate relevant stakeholders, as required to support development initiatives; following a ‘build it, break it, fix it mentality’
Is responsible for developing and documenting detailed solution design and act as an application SME through the design and development lifecycle ensuring alignment with Architecture
Is accountable for complex applications/systems development, programming /coding
Develops functional, technical and user interface designs for an application / system that meets the defined requirements (business, enterprise architecture direction, system performance and development standards)

Deep expertise in Datadog
Experience on containerization with Kubernetes
Fluency in writing effective and scalable Python code and ability to write Shell scripts
Experience as a Cloud Engineer with sound knowledge of Azure services
Skilled in system-level architecture, like Linux or Windows or past system engineer/administrator experience
Strong background in system design, development, architecture, application deployment
Ability to perform detailed analysis of business problems and technical environment
Ability to troubleshoot any operational issues related to the infrastructure and software