Why This Role Stands Out
Thrive in this remote Backend API Developer role by leveraging your expertise in Java or Python to build scalable, cloud-native microservices and REST APIs, with a competitive hourly rate of $40-45. You'll develop advanced skills in modern software development practices and contribute to impactful projects within a dynamic technology environment.
Quick Overview
Salary
$40 - $45/hr
Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
6 days ago
DjangoDockerFastAPIFlaskMicroservicesShellSpringSpring BootAPI GatewayAWSELKSonarQubeAzureBashGitGoGoogle CloudGrafanaHelmJUnitJavaKafkaKubernetesPostmanPrometheusPythonRESTRabbitMQpytest
Job Description
- Job Title: Sr. Backend API Developer
- Client: LTTS
- Location: US, flexible on location , working remotely.
- Rate: $40-45/hr without benefits.
ROLE OVERVIEW
Senior Backend API Developer with strong experience in building production-grade enterprise software using Java or Python, along with working knowledge of Golang. Must have hands-on experience developing production-grade cloud-native microservices, REST APIs, enterprise integrations, and scalable backend Requires strong engineering fundamentals, expertise in modern software development practices, containerized deployments, CI/CD automation, and proactive ownership of software quality, performance, Experience in the Telecommunications domain and familiarity with TM Forum Open APIs is highly desirable.
Required Technical Skills
Backend Development in Java (Spring Boot preferred) OR Python (FastAPI, Flask, Django, or equivalent)
Good to Have: Golang RESTful API design and development, API Gateway patterns, OpenAPI / Swagger
Strong Linux/Unix administration and troubleshooting skills Docker, Kubernetes, Helm
DevOps & CI/CD: Git / GitHub / GitLab / Bitbucket; automated build, test, and deployment pipelines Shell/Bash scripting Microservices architecture Enterprise system integrations Event-driven architectures, message brokers (Kafka, RabbitMQ, or equivalent)
Databases - relational and NoSQL Cloud & Container
Technologies: AWS, Azure, and/or Google Cloud Platform Log analysis and debugging Testing & Quality Engineering Unit testing frameworks (JUnit, PyTest, Mockito, etc.) & test automation API testing tools such as Postman Code quality tools (SonarQube preferred) Static code analysis and code coverage management Monitoring &
Observability: Grafana, Prometheus, ELK Design Patterns, SOLID Principles Performance tuning and optimization High availability and scalability design
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