Senior Cloud Engineer (Python + Cloud + Microservices + DevOps role)

Tekskills Inc.; Kolkata District; Hybrid; INR 1,500,000 - 2,400,000; Full time

Job summary

Tekskills Inc. in Bangalore seeks a Senior Cloud Engineer (Python + Cloud + Microservices + DevOps) to design and implement cloud-based solutions, ensure performance, uptime, and scalability, and drive secure deployments.

The role requires 5-7 years in cloud architecture with Azure or AWS, Python mastery, REST APIs, Terraform, CI/CD, containers, and automation. You will collaborate across teams and advocate best practices for scalable, secure cloud infrastructure.

Qualifications

• Degree in computer science or a similar field.

Responsibilities

• Design and implement cloud-based solutions for the project scrum team.
• Ensure application performance, uptime, and scale, maintaining high standards for code quality and thoughtful design.
• Modify and improve existing systems.
• Educate teams on new cloud technologies and initiatives.
• Ensure secure cloud storage and processing in line with security policies.
• Identify, analyze, and resolve infrastructure vulnerabilities and deployment issues.
• Define and document best practices for deployment and maintenance.
• Review existing systems and recommend improvements.

Skills

Python

Cloud

Microservices

DevOps

REST API development

CI/CD

Docker

Kubernetes

Education

Degree in CS or related field

Tools

Terraform

Azure App Services

Azure Functions

App Insights

ADF (Azure Data Factory)

ECS

Lambda

S3

Glue

Jenkins

Groovy

Job description

Role: Senior Cloud Engineer (Python + Cloud + Microservices + DevOps role)

Location: Bangalore

Experience: 5-7 Years

Job Description

• As part of project scrum team member design and implement the most optimal cloud-based solutions for the company
• Ensure application performance, uptime, and scale, maintaining high standards for code quality and thoughtful design
• Modifying and improving existing systems.
• Educating teams on the implementation of new cloud technologies and initiatives.
• Ensuring efficient functioning of data storage and processing functions in accordance with company security policies and best practices in cloud security.
• Identifying, analyzing, and resolving infrastructure vulnerabilities and application deployment issues.
• Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
• Regularly reviewing existing systems and making recommendations for improvements.

Qualifications

• Degree in computer science or a similar field.
• Eight or more years of experience in architecting, designing, developing, and implementing cloud solutions in Azure or AWS
• Understanding of core cloud concepts like Infra as code, IaaS, PaaS and SaaS.
• Strong proficiency in Python and experience with REST API development.
• Design and implement scalable, secure, and efficient cloud-based solutions using Azure services.
• Develop and maintain RESTful APIs to support various applications.
• Technologies: Python, Terraform, Azure app services, Functions, App Insights, ADF in AZURE
• Similar Technology stack for AWS like ECS, Lambda, S3, Glue jobs etc
• Developing and maintaining continuous integration and continuous deployment pipelines Jenkins Groovy scripts.
• Developing containerized solutions and orchestration (Docker, Kubernetes, App Service or ECS)
• Experience of server less architecture, cloud computing, cloud native application and scalability etc
• Collaborate with cross-functional teams to define, design, and ship new features.
• Optimize applications for maximum speed and scalability.
• Implement robust security measures and ensure compliance with industry standards.
• Monitor and troubleshoot application performance and resolve any issues.
• Participate in code reviews and contribute to the continuous improvement of the development process.
• Development experience with configuration management tools (Terraform, Ansible, Arm Templates).
• Relevant certification of Azure/AWS preferred.
• Troubleshooting and analytical skills.
• Knowledge of AI & ML technologies, as well as ML model management is a plus.