Cloud Engineer

Job Summary

The engineer will join the Platform Services team to support and enhance cloud and container platforms, ensuring global production service reliability and collaborating with cross-functional teams to deliver robust technical solutions.

Responsibilities

Support global production service operations within Platform Services to maintain service continuity

Ensure overall reliability, availability, and stability of services within the defined technical scope

Provide expert technical support for managed workloads by analyzing and resolving incidents, problems, service requests, and managing change processes

Collaborate with development, project, and business teams to gather requirements, clarify technical specifications, and contribute to project deliverables

Drive continuous improvement in production environments through automation, manual optimization, and performance hygiene practices

Perform technical analysis of production platforms to identify and remediate performance issues proactively

Build and maintain effective cross-team relationships to achieve shared objectives

Engage in DevOps practices including CI/CD, Continuous Testing, Continuous Monitoring, and Continuous Compliance to enhance delivery pipelines

Operate and enhance middleware platforms and their associated interfaces to support business needs

Develop self-service interfaces and workflows to improve operational efficiency

Take ownership of specialist responsibilities in strategic projects and initiatives to drive innovation and service excellence

Preferred competencies and qualifications

Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or equivalent

5 to 8 years of experience working with cloud platforms such as AWS, GCP, and Terraform

Proficiency with container platforms including Docker and Kubernetes

Skilled in scripting languages such as Java, Unix Shell, Bash, Python, and PowerShell

Experience with middleware technologies including Websphere, JBoss, Wildfly, Tomcat, Apache, and Kafka

Good understanding of ITIL Service Management framework, including Incident, Problem, and Change management processes

Knowledge of LLMs and AI architecture patterns such as RAG, Agentic, and MCP

Experience with technical platforms like Jenkins, Ansible, Elastic Search, Rundeck, and GIT

Familiarity with monitoring and data analytics tools such as Nagios, OMI, ServiceNow, and Geneos

Ability to work shifts and participate in on-call support rotations

Strong communication, interpersonal, and logical reasoning skills

Customer service oriented with a collaborative team-player mindset