Software Architect Electronic Records Archiving, Modernization, Cloud & AI Enabl
PowerToFly, Alpharetta, GA, United States
Role Summary
This role is a VP Software Architect responsible for 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.
Hands‑On Engineering & Delivery
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.
Electronic Records Archiving Modernization & Migration
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.
Architecture & Design
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.
Cloud & Platform Enablement
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.
AI‑Assisted Engineering & Innovation
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.
Collaboration, Governance & Influence
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.
Required Qualifications
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.
Technical Skills
Core (Python‑First)
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
Infrastructure as Code
Observability, performance tuning, RCA participation
AI & Automation
AI coding assistants and refactoring tools
Workflow automation and agent‑based tooling (nice to have)
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.
Expected base pay rates for the role will be between $120,000 and $170,000 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 is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross‑section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.
#J-18808-Ljbffr
This role is a VP Software Architect responsible for 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.
Hands‑On Engineering & Delivery
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.
Electronic Records Archiving Modernization & Migration
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.
Architecture & Design
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.
Cloud & Platform Enablement
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.
AI‑Assisted Engineering & Innovation
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.
Collaboration, Governance & Influence
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.
Required Qualifications
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.
Technical Skills
Core (Python‑First)
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
Infrastructure as Code
Observability, performance tuning, RCA participation
AI & Automation
AI coding assistants and refactoring tools
Workflow automation and agent‑based tooling (nice to have)
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.
Expected base pay rates for the role will be between $120,000 and $170,000 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 is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross‑section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.
#J-18808-Ljbffr