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

Morgan Stanley • New York, NY

1d • $120,000 - $165,000

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level