Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Alpharetta, GA, United States
Posted
Yesterday
DockerExpressFastAPIMicroservicesMongoDBSpringSpring BootAgileGitGrafanaJavaJenkinsJiraKafkaKubernetesPython
Job Description
- 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
Similar jobs
- CD
Full Stack Developer – Software Developer Expert with Security Clearance
Cornerstone Defense
Herndon, VA🇺🇸Hybrid6 weeks agoMicroservicesRubySpring+7Technology - PS
Agile Developer L3 - Testing with Security Clearance
Power3 Solutions
Annapolis Junction, MD🇺🇸$180k - $225k/yrHybrid3 weeks agoSeleniumAgileConfluence+4Technology - HP
Full Stack Software Engineer – Java / Spring Boot / Angular / AWS
NewHicks Professional Group
Chicago, IL🇺🇸On-siteYesterdayDynamoDBSQLSpring+6Technology - SC
Senior Python Developer
NewSCMInnovators LLC
Plano, TX🇺🇸$65/hrOn-siteYesterdayDockerFastAPIMicroservices+8Technology - GE
Senior Full Stack Java Developer - Hybrid
Genesis10
Charlotte, NC🇺🇸$55 - $63/hrHybrid4 weeks agoMicroservicesMongoDBOracle+14Technology - HS
Senior CorVision Developer
HCM Staffing and Consulting
United States🇺🇸Hybrid4 weeks agoOracleSQLAgileTechnology