Sign up with

Already have an account? Log in here

Need some help?
Talk to us at +91 7670800001

Python Developer_Associate_Data & Analytics Engineering at Morgan Stanley

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

0.0

Posted On

09 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Docker, Kubernetes, Microservices, SQL, Grafana, Loki, CI/CD, AGILE, Big Data, RESTful APIs, Production Support, GitHub Copilot, OpenAI Integrations, GraphQL, Cloud Environments, Infrastructure-as-Code

Industry

Financial Services

Description

Develop, maintain, and support scalable real-time applications. Build and manage microservices using Python (3+) within Docker and Kubernetes (MKS) environments. Monitor, troubleshoot, and support production systems, including incident response and root cause analysis. Implement and configure logging and monitoring solutions, especially Grafana and Loki. Participate in the Software Development Life Cycle (SDLC) following AGILE methodologies. Develop and manage CI/CD pipelines and contribute to auto deployment tools for seamless releases. Write optimized SQL queries and manage relational databases (MSSQL and other RDBMS systems). Utilize basic Big Data concepts and tools where applicable. Collaborate with other team members, stakeholders, and cross-functional teams to understand requirements and resolve issues. Ensure quality and reliability of services through code reviews and best practices. Communicate effectively and document solutions, especially around production support tasks. Experience in developing and supporting real-time applications. Experience with RESTful APIs and microservices. Experience implementing logging and monitoring, particularly with Grafana and Loki. Experience supporting and troubleshooting production environments. Good to have: Experience with GitHub Copilot, especially in Copilot Agent mode. Good to have: Knowledge of OpenAI integrations and AI platform APIs. Proven AI mindset: Ability to design systems that are reusable, extensible, and safe using AI tools and practices. Good to have: Experience with GraphQL in Python environments. Production incident management or on-call experience. Familiarity with cloud environments (Azure/ AWS). Understanding or experience with infrastructure-as-code tools such as Terraform or Ansible.

Responsibilities

Develop, maintain, and support scalable real-time applications while managing microservices in Python. Monitor and troubleshoot production systems, ensuring quality and reliability through best practices.