Software Architect Electronic Records Archiving, Modernization, Cloud & AI Enablement - VP

Morgan Stanley • Alpharetta, GA

5d

About The Position

Morgan Stanley is a leading global financial services firm. The Technology department is a key differentiator, ensuring the management of global businesses and client service on a resilient, safe, efficient, smart, fast, and flexible platform. The Record Archive Service (RAS) group is responsible for managing and supporting multiple Archives platforms (Archive 360, CMOD, and ERA) to meet the Firm's regulatory obligations. This role is for a VP Software Architect within the RAS group, focused on building, modernizing, and operating enterprise-scale data records archiving solutions that support Morgan Stanley’s regulatory, legal, and data lifecycle obligations. The VP will actively engineer and modernize platforms spanning Archive360 (A360), IBM CMOD, and other internal tools (ERA, etc.), evolving legacy Perl/Java/Shell-based ingestion, monitoring, entitlement, and disposition tooling into Python-first, cloud-ready, AI-enabled solutions. A core expectation of this role is to continuously improve efficiency—reducing cost, latency, manual effort, and operational friction while increasing throughput, reliability, and auditability.

Requirements

• 12+ years of enterprise software engineering experience with strong modernization ownership.
• Advanced, hands-on expertise in Python for building production services and automation.
• Proven experience modernizing records archiving or data lifecycle platforms.
• Strong working knowledge of Perl, Shell, and Java for legacy assessment and migration.
• Deep understanding of Unix/Linux, batch processing, and high-volume file ingestion systems.
• Experience operating in regulated, audit-heavy environments.
• Python (advanced): services, tooling, concurrency, packaging, dependency management.
• Testing: unit/integration/contract testing for ingestion and disposition flows.
• APIs, messaging, batch orchestration, idempotency and error handling.
• Archiving Domain: Archive ingestion, reconciliation, and retrieval patterns.
• Retention schedules, legal/tax holds, WORM compliance.
• Disposition workflows and evidence generation.
• Platforms: Archive360, ERA, IBM CMOD (or equivalent).
• Cloud & Operations: Containers, orchestration platforms.
• Observability, performance tuning, RCA participation.

Nice To Haves

• AI & Automation: Workflow automation and agent-based tooling

Responsibilities

• Build and modernize Python-based services, tools, and automation for data records archiving platforms.
• Re-engineer legacy Perl/Shell/Java tooling used for: Archive ingestion and reconciliation, Drop-zone hygiene and monitoring, Entitlements and access controls, Disposition, retention validation, and reporting.
• Personally lead complex refactors, performance tuning, and production issue resolution.
• Implement CI/CD pipelines, test automation, and secure SDLC practices for archive-related systems.
• Participate in incident response, RCA, and remediation for archive ingestion, retrieval, or compliance issues.
• Modernize archival workflows across Archive360, ERA, and IBM CMOD platforms.
• Drive migrations such as: ERA Archive360 ingestion and metadata remediation, Legacy batch/script pipelines Python-based orchestration, File-based/manual processes resilient, observable services.
• Ensure compliance with WORM, SEC 17a-4, retention schedules, legal/tax holds, and disposition controls.
• Own migration execution artifacts: cutover plans, rollback strategies, reconciliation evidence, and audit support.
• Define Python-first, performance-aware architectures for archiving platforms.
• Make design decisions that balance: Cost efficiency, Processing speed and scalability, Regulatory risk and auditability.
• Produce concise architecture artifacts (C4, ADRs, ingestion/disposition flows) that directly support efficient delivery.
• Review designs and implementations to ensure efficiency considerations are embedded early—not added later.
• Design and implement cloud-ready archive tooling (public/private/hybrid), including: Secure ingestion pipelines, Metadata processing and enrichment, Monitoring, alerting, and reporting.
• Implement infrastructure-as-code and environment parity for archive platforms.
• Embed security controls: IAM, encryption, key management, entitlement enforcement, and audit logging.
• Apply AI tools to accelerate: Code refactoring and modernization of legacy archive tooling, Automated test generation for ingestion and disposition workflows, Documentation and runbook creation.
• Explore AI-assisted automation for archive operations (triage, anomaly detection, reconciliation support).
• Ensure responsible AI usage with human oversight and compliance alignment.
• Partner closely with Records Management, Legal, Compliance, Data Governance, and Platform teams.
• Mentor engineers on Python best practices, archive domain patterns, and regulatory-aware design.
• Influence technical direction through execution quality and subject-matter expertise.
• Communicate risks, tradeoffs, and progress clearly to senior technology leadership.

Benefits

• Opportunity to work alongside the best and the brightest.
• Supported and empowered environment.
• Relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences.
• Support for employees and their families at every point along their work-life journey.
• Attractive and comprehensive employee benefits and perks in the industry.
• Ample opportunity to move about the business.
• Total compensation package may include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed