Design, develop, and maintain robust
Python-based backend applications
.
Implement and manage
Kubernetes

deployments
,
container orchestration
, and
microservices architecture
.
Automate build, deployment, and scaling processes using CI/CD pipelines.
Collaborate with DevOps teams to optimize application performance and ensure high availability.
Troubleshoot production issues and implement efficient, scalable fixes.
Integrate APIs and work with cloud infrastructure (AWS, GCP, or Azure).
Ensure application security, reliability, and performance across environments.

Technical Skills Required:

Strong proficiency in
Python (Flask / FastAPI / Django)
.
Hands-on experience in
Kubernetes

(K8s)
for container orchestration and deployment.
Expertise with
Docker
,
Helm charts
, and containerized application development.
Experience with
CI/CD tools
such as Jenkins, GitLab CI, or Azure DevOps.
Working knowledge of
cloud platforms
(AWS / GCP / Azure).
Understanding of
RESTful APIs
,
microservices
, and
scalable architecture
.
Familiarity with
Linux / Shell scripting
for automation.
Experience with
monitoring tools
(Prometheus, Grafana, ELK stack) is an added advantage.

Qualifications:

Bachelors or Master’s degree in Computer Science, Information Technology, or a related field.
5–10 years of professional experience in
Python application development and deployment
.
Proven experience in
end-to-end

Kubernetes-based deployments
in production environments.
Excellent problem-solving, debugging, and communication skills.

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