Level : Level 2 (3+ Yrs of Exp)
Location: Alpharetta GA (Hybrid) Minimum 1 round onsite interview
Duration: 12 months
Position Description
Title: Python Developer, FastAPI, Beanie, MongoDB, Alpharetta GA, 12 Months cont
Python Developer Data Protection Services
The mission of the Data Protection (DP) group is to implement the Firm's Data Cybersecurity Strategy by architecting, engineering, deploying, and operating technical data security controls and capabilities for the Enterprise. This is achieved by continued focus on architectural rigor, automation, Agile delivery, and adoption of Data Protection Services' control implementations by our users and partners.
The Data Protection Services (DPS) fleet design, engineer and operate solutions that secure data at rest and in transit, escalating inappropriate usage of the Firm's data to incident responders.
This Python Developer position is with the Data Protection Dev Squad. We work on building APIs that leverage vendor SaaS solutions and used for data protection. This includes building microservices and applications needed by other teams for functions such as scanning automation, masking, policy controls, scheduling and authentication management.
As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
The Data Protection Dev squad is a small unit within the Data Protection group consisting of Developers and DevOps Engineers whose role it is to provide expert development, integration, and strategy capabilities to enable data protection of client and employee data anywhere at Morgan Stanley while feeding downstream systems for data security, compliance, privacy as well as threat monitoring and analytics. We have a strong focus on data control and more specifically how this will work in cloud environments. The team operates in a flat, agile structure and fosters a culture of collaboration and autonomy. The team is based between Alpharetta, Bengaluru, and Montreal.
What will you be doing?
- You will onboard new and maintain existing API microservices to support business needs and integrate with the tech ecosystem focused on sensitive data detection across all structured and unstructured data to mitigate firm risk, with Just-in-time access and minimal system owner involvement, while ensuring that scan results are available to downstream systems.
- You will work with the Data Protection Dev squad supporting Development & Operational tasks involved in data security services, ranging from service delivery, task automation, DevOps tasks and supporting an on-call rota
- You will support the continuous improvement of our services through the development of automation scripting and effective observability solutions
- Across the Data Protection Dev squad and stakeholder groups, you will participate in design and code reviews
- You will participate in the agile structure and norms of the team
- You will deliver knowledge sharing across our global Data Protection squads & chapters, providing documentation, presentations, and internal postings
You will have the opportunity to:
- Extend your technical knowledge with challenging engineering projects and the use of new technologies in areas like cloud data governance. Enjoy access to experts in the wide range of technologies at Morgan Stanley
- Learn more about the Financial Industry through various business stakeholders and industry activities and events
- Work in an open environment where everyone can express their views and make significant contributions
What we're looking for:
Must have:
Development: Python, FastAPI, Beanie
DevOps: Git, Jenkins, Test Automation
OS: Linux (in-depth), Windows
Agile: Jira
Database: MongoDB
Networking: Troubleshooting and debugging
Security Practices: Knowledge of critical cyber security controls
AI Software Development Lifecycle (AI SDLC): Working knowledge of the secure and governed use of artificial intelligence across requirements, design, development, testing, deployment, monitoring, and continuous improvement, including appropriate human oversight.
Would Be Nice:
Development: Data analytics, Java, Spring Boot, One of (ReactJS, AngularJS)
Orchestration: Docker, Kubernetes, Kafka
SRE: Flux, Grafana, Loki
Products: BigID, Varonis
Security: Snyk
Professional Skills
- Experience working within Agile teams
- Experience with building and scaling APIs in a microservice environment
- Knowledge of IT Service Management (ITIL)
- Ability to quickly learn and understand proprietary technologies in a complex, regulated environment
- Self-starter with proven & demonstratable experience in technical & application support of enterprise systems
- Excellent verbal and written communication skills coupled with a collaborative approach
- An automation/orchestration mind-set, enabling the product squads to spend more time coding and less time on manual processes
Attributes
- Passionate around automation, development and problem solving
- Being comfortable with frequent, incremental code testing and deployment
- Take a hands-on approach to implementing work from requirements, prototyping and design, to build, automation to deployment and operations.
- Own the quality and timeliness of delivery
- Communicate key issues and progress updates in a regular, accurate, timely fashion
Where will you be working?
This role is based at our Alpharetta, GA, USA office. Hybrid working (3 days per week onsite requirement)
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