RATE: 95.00 /hr. W2 Only LOCATION: Remote (Preferably in PST time zone) DURATION: 12+ month contract + multi -extension / conversion capability
Our client is seeking a Staff Systems Engineer to join the Integrated Knowledge Management team, developing content author facing solutions in the Contentstack CMS to scale and optimize knowledge & content creation across all of the company.
Responsibilities
Lead the scoping, technical requirements, architecture, and the implementation of new features and functionality in Contentstack CMS
Leverage your knowledge as a Contentstack subject matter expert as you collaborate with cross-functional working groups (frontend/backend/ML engineers, design, product and operation teams) to design and build the next generation of AI powered support products.
Creation of the next generation of content authoring functionality, including integration with GenAI based content creation and analysis tools.
Closely collaborate with engineering, ML/AI, product, content, data science and operations teams to ensure the content authors meet the ever evolving needs of the Community Support Platform in the most efficient way possible.
Analyze data, build hypotheses, experiment, learn and iterate to improve content authoring and delivery experience.
Qualifications
9+ years industry engineering or systems integration experience.
BS, MS or PhD in CS or related field.
3+ years of proven industry experience in building and maintaining custom content author facing tools, workflows, automations, and integrations in the Contentstack CMS.
Expertise for large-scale content data analysis, updates, and reporting, with the ability to handle and process large volumes of data efficiently using scripting languages such as Python.
Proficiency in full stack engineering: JS, Typescript; one or more backend JVM languages (Java/Kotlin/Scala etc).
Proven expertise in building and maintaining high-performance, scalable and fault-tolerant internal tooling functionality.
Comfortable navigating ambiguity and ownership of problem definitions.
Ability to drive alignment, manage projects, and effectively collaborate with stakeholders.
[Bonus] Industry experience in development of end-to-end Machine Learning products.
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