Amazon's Data Centers are industry leading examples of innovation in the areas of space utilization, energy efficiency, and cost effectiveness. We are known for our speed to market and reliability. We are the global team responsible for the design and operation of critical industry leading Data Centre facilities throughout the world.

Our Design Engineering Teams are on the forefront of creating and delivering the most innovative products to our customers; and are known for being diverse and upbeat while changing the face of Cloud Computing. We continue to grow and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning. Amazon's work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. At Amazon we do highly support continued learning opportunities and focus on continued employee development.

Amazon has a global presence therefore domestic and international travel may be necessary. Team work is absolutely necessary for us to accomplish our goals. You will be working with internal stakeholders that are spread globally spanning across various engineering disciplines. If you are a creative, smart and driven individual that enjoys working with complex problems and in teams we want YOU!

We are looking for a Technical Program Manager to support data center infrastructure basis of design release management program, develop process documentation, and design and implement content management solutions using tools such as GitLab or like. This includes gathering customer requirements, understanding the business needs, and designing solutions that meet them.

The ideal candidate shows serious obsession for customers. They have broad experience working on global, cross-functional content programs, and they have team leadership, program management, or project management experience. This person also has excellent written and verbal communication skills with demonstrated leadership in delivering business results while working in an ambiguous and rapidly changing environment. They have strong data analytics skills, and are comfortable working with Excel to identify trends and insights. Experience working within a team to deliver complex solutions is key.

WE LOVE DATA so please apply with your detailed CV which demonstrates the specific tasks you carry out as part of your current and previous roles!

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Amazon Web Services (AWS) is committed to a diverse and inclusive workplace to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting please https://www.amazon.jobs/en/disability/us.

Key job responsibilities

• \tManage/maintain/improve an authoring system/content management solution based on reStructuredText format that hosts data center specific design and product documentation

• \tDesign, implement, and support a platform providing secured access to large datasets.

• \tInterface with cross functional teams, gathering requirements and delivering complete data solutions.

• \tDevelop end to end scalable data infrastructure and data pipelines

• \tOwn the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.

• \tDevelop ETL pipeline that links various datasets that could serve the analysis objectives in the most efficient way

• \tAnalyze gaps and provide proper documentation related to the AWS platform products created, stepping back to understand the broader context.

• \tLearn and understand a broad range of Amazon's and AWS's data resources and know when, how, and which to use and which not to use.

• \tSupport efficient and effective authoring by making it possible to reuse content across different design types

• \tPrepare user guides, technical documents, FAQs, and other supporting documents to communicate complex and technical information to our customers and operational teams

• \tDevelop, gather, and disseminate technical information among engineers, program managers, product managers, designers, and technical account managers

• \tSupport document change process and periodic release of design documentation

• \tImplement document template and standardization across entire data center infrastructure product line

• \tIndependently follow designs and standards to develop and deliver conceptual, how-to, and API reference docs for AWS products.

• \tReview all technical documentation being issued by the product and design teams, including but not limited to narratives, drawings, sheets, specifications, user manuals, troubleshooting guides etc.

• \tManage central repository for all technical documentation, access control etc.

• \tDevelop and manage graphical user interface overlaying content repository

• \tDeveloping and setting standards for engineering document control, and best practices. Drives process improvements across multiple organizations

• \tControlling the numbering, naming, filing and formatting of all documents issued

We are open to hiring candidates to work out of one of the following locations:

Herndon, VA, USA

BASIC QUALIFICATIONS

• \tEngineering degree or 5+ years' experience with technical documentation

• \t5+ years' experience using content publishing tools to write, format, manage, and publish high-quality content

• \t5+ years' experience using HTML/CSS to maintain a documentation website, Wiki or Confluence pages

• \t5+ years' experience in integrating documentation workflows with organizational needs

• \t5+ years' experience using Git to publish documentation using the Docs-as-Code methodology

• \t3+ years' experience editing the document in LaTeX format

• \t3+ years' experience in using the Sphinx Document Generator

• \t3+ years' experience automating documentation processes using CI/CD Pipelines

• \t3+ years' experience publishing PDF, docx documentation from reStructuredText (or other markup languages) files

• \tExperience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

• \tExperience with data modeling, warehousing and building ETL pipeline.

• \tExperience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

• \tExperience providing technical leadership and mentoring other engineers for best practices on data engineering

• \tExperience with SQL

PREFERRED QUALIFICATIONS

• \tProven ability to learn new technologies quickly

• \tAbility to write scripts in Python or other scripting languages

• \tExperience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy

• \tFamiliarity with using and following a style guide

• \tExperience creating websites

• \tExperience with cloud computing/web services or related areas

• \tA proactive and open-minded attitude to resolving problems and delivering results

• \tStrong written and verbal communication skills

• \tStrong troubleshooting skills

• \tStrong interpersonal skills

• \tStrong attention to detail

• \tAbility to thrive in a fast-paced, changing environment

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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