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DevOps Developer
Morgan Stanley. Design, develop, and maintain Python automation solutions to improve software delivery, engineering productivity, and operational efficiency .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in designing and developing Python automation solutions, with extensive experience in CI/CD pipeline management and containerization using Docker, Kubernetes, and OpenShift. Demonstrates strong problem-solving abilities and effective communication skills in a collaborative Agile environment.
Highest-signal resume keywords
Python Automation DevelopmentCI/CD Pipeline ManagementContainerization with Docker and KubernetesGenerative AI Tools UtilizationRelational and NoSQL Database Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonCI/CDDockerKubernetesOpenShiftPostgreSQLMongoDBAutomation SolutionsTelemetry SolutionsAgile Methodologies
Soft Skills
Excellent Communication SkillsProblem-Solving Abilities
Tools & Technologies
GitHub CopilotMCP ToolsAgentic Architectures
Industry Keywords
Software DeliveryEngineering ProductivityOperational EfficiencyTechnical DebtSoftware Modernization
Tech Stack
Tools & technologiesDockerKubernetesMongoDBNoSQLOpenShiftPostgresPython
About the role
Key responsibilities & impact- Design, develop, and maintain Python automation solutions to improve software delivery, engineering productivity, and operational efficiency
- Build and enhance CI/CD pipelines for build automation, testing, release orchestration, and deployment workflows
- Drive software modernization initiatives by reducing technical debt, standardizing engineering practices, and improving development processes
- Develop and maintain observability, telemetry, and engineering metrics solutions
- Implement and support containerized applications and platforms using Docker, Kubernetes, and OpenShift
- Build and integrate GenAI-enabled applications, automation tools, and developer workflows using LLMs, MCP tools, and agentic architectures
- Collaborate with globally distributed Agile teams to deliver scalable, maintainable, high-quality technology solutions
Requirements
What you’ll need- 5+ years of professional software development experience
- At least 3+ years developing automation, tooling, or platform solutions using Python
- Experience designing and implementing automation solutions
- Hands-on experience building and maintaining CI/CD pipelines, including build automation, testing, release orchestration, and deployment workflows
- Hands-on experience with containerization and modern software delivery practices, including Docker, Kubernetes, OpenShift, or similar platforms
- Demonstrated experience leveraging Generative AI tools such as GitHub Copilot, agent-based workflows, prompt engineering, or AI-assisted software development
- Experience with relational and/or NoSQL databases, including PostgreSQL and MongoDB
- Excellent verbal and written communication skills
- Ability to solve complex technical problems and deliver scalable, maintainable solutions
- Knowledge of French and English is required
Benefits
Comp & perks- Hybrid work environment combining remote work and attendance in the office
- Comprehensive employee benefits and perks
- Support for employees and their families throughout their work-life journey
- Opportunities for internal mobility and career development
- Diverse, inclusive and supportive work environment