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). 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. 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. 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. 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. 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.
