Cloud Engineer

About the Role

Utilizes knowledge of software, systems, and platform engineering to design, develop, and implement cloud-based solutions in accordance with best practices and Cisco's security standards and policies. Designs cloud architecture, combining technologies to create optimal solutions for Cisco, and completes plans and specifications to develop those solutions. Collaborates with product managers, engineers, and security teams to develop specifications for new cloud-based products, services, applications, and solutions, and to identify opportunities to optimize security. Drives the roll-out of public and private cloud management platforms, evaluates their performance, and implements enhancements.

Key Responsibilities

• Collaborate with the team on design, development, and maintenance of projects of small to medium complexity
• Write and deliver cloud infrastructure and source code for server-side features
• Assess technology in use and contribute to development plans for design and improvement
• Develop understanding and experience of public cloud providers
• Build and maintain application infrastructure on assigned servers
• Migrate existing services from current servers to cloud as appropriate
• Write scripts to automate operations and server management
• Maintain QA and production environments using automation tools
• Build and maintain tools for monitoring and analyzing trends
• Identify paths to eliminate blockers and meet deadlines when needed
• Collaborate with team members to share learnings and assist in problem solving and resolution
• Develop awareness of agile methodology, timelines, and deliverables
• Apply security standards, policies, and change management processes when deploying code into live environments
• Build solutions that increase availability, performance, and stability in systems, services, and products at scale
• Perform a wide variety of technical and administrative duties in overall systems design, development, and delivery

Requirements & Tech Stack

• Java 8+ or Python or any widely used language
• Knowledge of the Java Spring ecosystem
• Experience in Kubernetes and the container ecosystem
• Knowledge of building real-time systems
• Experience with public cloud providers

Qualifications

• Bachelor's degree plus 2 years of related experience, or Master's degree plus 0 years of related experience.
• Knowledge of Java Spring ecosystem; multi-threaded and async programming, and profiling (desirable).
• Experience with VoIP and call control processing (preferred)
• Experience with observability tools such as Elasticsearch, Prometheus, and Grafana (preferred)
• End-to-end / full-stack application development ability (preferred)
• Ownership-driven mindset (preferred)
• Proven track record of delivering complex projects (preferred)
• Ability to work effectively in a fast-paced environment (preferred)
• Demonstrated AI engineering depth beyond AI-assisted coding (preferred), including:
• Designing and building AI agents that automate engineering or business workflows.
• Delivering end-to-end tools, including the user interface, built with AI.
• On-the-job or self-directed AI initiatives that shipped and were adopted by others.