Consultant Conversion - Director, Software Eng III

Morgan Stanley • Montreal, QC

1d

About The Position

Morgan Stanley is seeking an experienced and ambitious candidate to join their Record Archive Service (RAS) group. The group is responsible for managing and supporting multiple Archives platform (Archive 360, CMOD and ERA) to meet Firms Regulatory obligations. This role is a Director Senior Software Developer responsible for building, modernizing, and operating enterprise scale data records archiving solutions that support Morgan Stanley's regulatory, legal, and data lifecycle obligations. The Director 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

• 8+ 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
• 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)
• Containers, orchestration platforms
• Infrastructure as Code
• Observability, performance tuning, RCA participation
• AI coding assistants and refactoring tools

Nice To Haves

• AI assisted automation for archive operations (triage, anomaly detection, reconciliation support).
• 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 to Archive360 ingestion and metadata remediation, Legacy batch/script pipelines to Python based orchestration, File based/manual processes to 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.
• 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.
• 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, in an environment where you are supported and empowered.
• Teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences.
• Ample opportunity to move about the business for those who show passion and grit in their work.
• Attractive and comprehensive employee benefits and perks in the industry.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed