PowerToFly
Recent searches
  • Events
  • Companies
  • Resources
  • Log in
    Don’t have an account? Sign up
Filters
Clear All
Advanced filters
Job type
  • Reset Show results
Date posted
  • Reset Show results
Experience level
  • Reset Show results
Company
  • Reset Show results
Skills
  • Reset Show results
Clear All
Cancel Show Results
Active filters:
Results 6852 Jobs
Loading...
Loading more jobs...

No more jobs to load

No more jobs to load

Knowledge Access Engineer (Confluence/Stack Overflow/Gen AI)
Save Job
Morgan Stanley

Knowledge Access Engineer (Confluence/Stack Overflow/Gen AI)

Onsite New York City, NY, United States Full Time
Posted an hour ago
Save Job

Job Details

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

This is a Data & Analytics Engineering Lead position at Director level, which is part of the job family responsible for providing specialist data analysis and expertise that drives decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

Profile Description

The Knowledge Access Team provides firmwide platforms that enable employees to create, organize, and discover knowledge, including enterprise wiki systems, Q&A solutions, video training platforms, and mailing list archives. This New York–based Software Developer role is responsible for engineering, maintaining, and improving these core platforms. The position emphasizes platform reliability, automation, DevOps ownership, workflow optimization, and high-quality user support. The role also includes light integration work with search and AI-enhanced discoverability features, ensuring Knowledge Access systems remain modern, scalable, and aligned with firm needs & moder Gen AI search requirements-wide platforms that enable employees to create, organize, and discover knowledge, including enterprise wiki systems, Q&A solutions, video-training platforms, and mailing-list archives. This New York–based Software Developer role is responsible for engineering, maintaining, and improving these core platforms. The position emphasizes platform reliability, automation, DevOps ownership, workflow optimization, and high-quality user support. The role also includes light integration work with search and AI-enhanced discoverability features, ensuring Knowledge Access systems remain modern, scalable, and aligned with firm needs.

Responsibility:

  • Design, develop, maintain, and support applications and frameworks powering the firm’s Knowledge Management ecosystem. -access ecosystem.

  • Own end-to-end engineering and operational lifecycles for key platforms including Enterprise wiki systems such as Confluence, Q&A tools such as Stack Overflow for Enterprise and Gen AI Search. -to-end engineering and operational lifecycle for key platforms including

  • Build integrations and tools that improve content lifecycle management, governance, user experience, and platform discoverability.

  • Develop automation, scripts, and self-service tools to improve platform reliability, monitoring, and operational efficiency. -service tools to improve platform reliability, monitoring, and operational efficiency.

  • Provide L2/L3 support, including troubleshooting complex issues, identifying root causes, and implementing long-term fixes. -term fixes.

  • Partner with help-desk teams to deliver technical documentation, onboarding materials, and platform guidance.

  • Participate in Agile ceremonies, contribute to backlog refinement, and collaborate with global stakeholders on platform enhancements.

  • Support light integrations with enterprise search and emerging AI-driven features (metadata enrichment, semantic tagging, summarization). -driven features (metadata enrichment, semantic tagging, summarization).

Qualifications (Must Have)

  • Bachelor’s degree in computer science, Software Engineering, Information Technology, or related field.

  • 5+ years of experience in software development or knowledge/content management platform engineering especially with products such as Confluence, Stack Overflow management platform engineering-management platform engineering

  • Strong problem-solving and analytical skills. -solving and analytical skills.

  • Proficiency with scripting and automation (Python strongly preferred).

  • Experience with DevOps tools, CI/CD pipelines, and operational automation.

  • Familiarity with Agile methodologies and tools such as Jira.

  • Experience working across both Unix/Linux and Windows environments.

  • Solid understanding of software development lifecycle, service-oriented architecture, design patterns, and Git oriented architecture, design patterns, and Git. -oriented architecture, design patterns, and Git.

Preferred Qualifications (Good to Have)

  • Experience with LDAP, Active Directory, PostgreSQL, MongoDB, Redis, or related platform technologies.

  • Knowledge of Docker, Kubernetes, and cloud platforms such as AWS or Azure.

  • Background in analytics, statistics, or visualization.

  • Familiarity with enterprise search platforms or LLM/AI assisted features using Open AI, Gemini or other open-source models-assisted features

  • Experience working with Microsoft Copilot and Model Context Protocol (MCP), including leveraging APIs to integrate AI-driven capabilities into engineering workflows. Driven capabilities into engineering workflows. -driven capabilities into engineering workflows.

  • Experience supporting large enterprise user bases and global operations.

Enterprise Technology & Services:

Enterprise Technology & Services (ETS) delivers shared technology services for Morgan Stanley supporting all business applications and end users. ETS provides capabilities for all stages of Morgan Stanley’s software development lifecycle, enabling productive coding, functional and integration testing, application releases, and ongoing monitoring and support for over 3,000 production applications. ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of employees. Application and end user functions are delivered on a scalable, secure, and reliable infrastructure composed of seamlessly integrated datacenter, network, compute, cloud, storage, and database functions.

We have a track record of innovation and passion for unlocking new opportunities, we help our clients raise, manage and allocate capital. We do this by offering a wide range of investment banking, securities, wealth management and asset management services.

All that we do at Morgan Stanley is driven by our five core values: do the right thing, put clients first, lead with exceptional ideas, commit to diversity and inclusion, and give back. These aren’t just beliefs, they guide the decisions we make every day, ensuring we do what's best for our clients, communities and more than 80,000 employees around the world. And at the core of our success are the people who drive it - relentless collaborators and creative thinkers who are fueled by diverse thinking and experiences.

Wherever you are in our 1,200 global offices, you’ll have the opportunity to work alongside the best and the brightest in an environment where you are empowered to achieve your full potential. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.

It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Expected base pay rates for the role will be between $120,000 and $165,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.

It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Company Details
Morgan Stanley
 New York City, NY, United States
Work at Morgan Stanley

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated... Read more

Did you submit an application for the Knowledge Access Engineer (Confluence/Stack Overflow/Gen AI) on the Morgan Stanley website?