Staff Systems Engineer (Contentstack)

Russell Tobin; San Francisco (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

Join a forward-thinking company as a Staff Systems Engineer, where you'll lead the development of innovative content authoring solutions using Contentstack CMS. This role involves collaborating with cross-functional teams to create next-generation content tools, integrating AI capabilities, and mentoring fellow engineers. You'll be at the forefront of enhancing the content delivery experience, driving alignment, and managing projects in a dynamic environment. If you're passionate about technology and eager to make an impact, this is the perfect opportunity for you to shine.

Qualifications

• 3+ years in building custom content author tools in Contentstack CMS.
• Expertise in data analysis and scripting languages like Python.

Responsibilities

• Develop content author facing solutions in Contentstack CMS.
• Collaborate with teams to enhance content authoring and delivery experience.

Skills

Contentstack CMS

Python

Java

JavaScript

Typescript

Machine Learning

Full Stack Engineering

Education

BS in Computer Science

MS in Computer Science

PhD in Computer Science

Job description

This range is provided by Russell Tobin. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$90.00/hr - $100.00/hr

Senior Recruitment Specialist at Russell Tobin

Job Title: Staff Systems Engineer, Integrated Knowledge Management

12+ months Contract (potential to extend)

Pay: $90-$100/Hr on W2 (depends upon experience)

Duties:

• As a Staff Systems Engineer on the Integrated Knowledge Management team, you will be in charge of developing content author facing solutions in the Contentstack CMS to scale and optimize knowledge & content creation across all of client.
• You will be involved in the creation of the next generation of content authoring functionality, including integration with GenAI based content creation and analysis tools.
• You will closely collaborate with engineering, ML/AI, product, content, data science and operations teams to ensure client’s team of content authors meet the ever evolving needs of Client’s Community Support Platform in the most efficient way possible.

A Typical Day:

• Lead the scoping, technical requirements, architecture, and the implementation of new features and functionality.
• Analyze data, build hypotheses, experiment, learn and iterate to improve client’s content authoring and delivery experience.
• 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.
• Mentor other engineers in Contentstack best practices.
• Advocate and participate in efforts to advance client’s engineering processes and technical foundations.

Skills:

• 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.

Education:

• 9+ years industry engineering or systems integration experience.
• BS, MS or PhD in CS or related field.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

Technology, Information and Media