Sr Python & Kubernetes Engineer

.    Strong full stack development experience with modern frameworks and microservice architectures.
.    Proficiency in: 
o    Shell scripting, SQL, Python
o    Linux administration
.    Solid working knowledge of Oracle and Postgres databases.
.    Hands on experience in building and maintaining CI/CD pipelines.
.    Strong understanding of REST APIs, integration patterns, and automation.
.    Knowledge of Disaster Recovery (DR), High Availability (HA), and enterprise grade architectures.
.    Ability to guide and approve unit, integration, and functional testing practices.
.    Experience with open source orchestration tools (Apache Airflow, Prefect).
.    Experience with enterprise scheduling tools (Control M, AutoSys).
.    Hands on experience managing workload orchestration infrastructure.
.    Cloud experience in: 
o    AWS (EKS, Lambda, EC2, Step Functions, Batch, IAM, S3, Networking)
o    Azure (AKS, Functions, Networking)
.    Strong understanding of containers (Docker) and Kubernetes platforms (EKS, AKS).
.    Knowledge of Observability & SRE practices.
.    Experience with stress testing, chaos engineering, and FMEA.
.    Familiarity with AI/ML concepts (added advantage).
.    Hands on experience with JFrog Artifactory for artifact management, repository configuration, and CI/CD pipelines.
.    Proficiency in automated testing frameworks, including Cucumber (BDD), unit testing, integration testing, and regression testing.
.    Deep understanding of software testing methodologies and tools, such as Swagger, Postman, JUnit/TestNG, Cypress, or equivalent.