Cloud Engineer II

Optimized Job Title Cloud Engineer II Overview / Summary We are seeking a Cloud Engineer II to support the design, development, testing, and deployment of cloud-native platform services and capabilities. This role will work within a cross-functional Agile team to build cloud services, data integrations, user-facing capabilities, APIs, and platform observability solutions. The position involves designing, building, and deploying cloud-based infrastructure and managed services to support scalability, flexibility, and cost efficiency across private and public cloud environments.

The engineer will receive technical direction from senior engineers and architects while progressively taking ownership of well-defined platform components and features.

Key Responsibilities Design, develop, test, and maintain cloud platform components under the guidance of senior engineers. Build and integrate REST APIs, backend services, data-processing functions, and event-driven workflows. Develop integrations with enterprise data sources. Support the ingestion, normalization, validation, storage, and retrieval of data. Contribute to web-based interfaces and dashboards used to present operational, AI-performance, and platform-health information. Implement logging, metrics, distributed tracing, error handling, and health checks for platform services.

Write unit, integration, API, and automated regression tests. Participate in code reviews and address feedback related to maintainability, performance, security, and coding standards. Support CI/CD pipelines, containerized deployments, configuration management, and cloud environment troubleshooting. Assist with the integration of AI services through APIs and standardized interface contracts. Implement role-based access controls and follow security, privacy, data-retention, and auditability requirements. Create and maintain technical documentation, including API specifications, deployment instructions, support procedures, and design notes.

Participate in backlog refinement, estimation, sprint planning, demonstrations, and retrospectives. Investigate defects and operational issues using logs, metrics, traces, and other platform evidence. Identify technical risks, dependencies, and blockers and communicate them promptly to the delivery team.

Required Qualifications Bachelor's degree in computer science, software engineering, information technology, or a related discipline, or equivalent practical experience. Approximately 2–5 years of software development experience. Programming experience in one or more relevant languages, such as Python, Java, JavaScript, or Type Script. Experience developing or consuming REST APIs and working with structured data formats such as JSON. Understanding of object-oriented programming, software design principles, and common application architecture patterns.

Experience with relational databases, SQL, and basic data modeling. Experience using Git-based source control and participating in peer code reviews. Familiarity with automated unit and integration testing. Basic understanding of cloud computing, containerization, and CI/CD practices. Ability to diagnose software issues using application logs and debugging tools. Experience or working knowledge of AWS services such as S3, EC2, or RDS. Experience or working knowledge of Google Cloud Platform services such as Compute Engine, Cloud Storage, or Big Query.

Experience with APIs and REST APIs, including developing API endpoints and using HTTP methods such as GET and POST.

Experience with Java and JavaScript. Experience writing SQL queries to retrieve, insert, update, and summarize data.

Experience with Kubernetes and Docker. Experience using Apigee to publish and manage APIs, configure…