Optimized Job TitleCloud 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 TypeScript.
- 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 BigQuery.
- 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 API proxies, set up authentication, apply policies, and monitor API traffic.
- Experience working in an Agile software development environment.
- Understanding of the software development lifecycle from requirements and design through development, testing, deployment, and maintenance.
- Experience using GitHub for source control, branching, commits, pull requests, and code reviews.
- Experience building or supporting Java applications or REST services using Spring Boot.
- Strong written and verbal communication skills.
- Ability to work collaboratively with product owners, architects, engineers, data specialists, testers, and operations teams.
Preferred Qualifications - Understanding of agentic AI workflows, data pipeline development and processing, AI evaluation strategies using RAGAS, RAG, vectorization, and LLM orchestration.
- Experience with Google Cloud Platform services such as Google Kubernetes Engine, Pub/Sub, Cloud Storage, or Cloud SQL.
- Experience with Docker, Kubernetes, Terraform, or similar cloud-native technologies.
- Experience developing frontend applications using React and TypeScript.
- Familiarity with event-driven architecture, asynchronous processing, and data pipelines.
- Experience implementing platform observability using logs, metrics, traces, dashboards, and alerting.
- Familiarity with OpenTelemetry or comparable observability standards and tooling.
- Experience with API specifications and tools such as OpenAPI or Swagger.
- Familiarity with authentication, authorization, role-based access control, and secure coding practices.
- Experience integrating AI or machine-learning services through APIs.
- Familiarity with prompt management, AI response validation, confidence scoring, or human-feedback capture.
- Experience working in an Agile or Scrum delivery model.
Education - Bachelor's Degree required.
- Master's Degree preferred.
